A Rapid and Universal Workflow for Label-Free-Quantitation-Based Proteomic and Phosphoproteomic Studies in Cereals

Mingjie He, Mingjie He, Jiahui Wang, Jiahui Wang, Sandra Herold, Sandra Herold, Lin Xi, Lin Xi, Waltraud X. Schulze, Waltraud X. Schulze

Published: 2022-06-08 DOI: 10.1002/cpz1.425

Abstract

Proteomics and phosphoproteomics are robust tools to analyze dynamics of post-transcriptional processes during growth and development. A variety of experimental methods and workflows have been published, but most of them were developed for model plants and have not been adapted to high-throughput platforms. Here, we describe an experimental workflow for proteome and phosphoproteome studies tailored to cereal crop tissues. The workflow consists of two parallel parts that are suitable for analyzing protein/phosphoprotein from total proteins and the microsomal membrane fraction. We present phosphoproteomic data regarding quantification coverage and analytical reproducibility for example preparations from maize root and shoot, wheat leaf, and a microsomal protein preparation from maize leaf. To enable users to adjust for tissue specific requirements, we provide two different methods of protein clean-up: traditional ethanol precipitation (PC) and a recently developed technology termed single-pot, solid-phase-enhanced sample preparation (SP3). Both the PC and SP3 methods are effective in the removal of unwanted substances in total protein crude extracts. In addition, two different methods of phosphopeptide enrichment are presented: a TiO2-based method and Fe(III)-NTA cartridges on a robotized platform. Although the overall number of phosphopeptides is stable across protein clean-up and phosphopeptide enrichment methods, there are differences in the preferred phosphopeptides in each enrichment method. The preferred protocol depends on laboratory capabilities and research objective. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC.

Basic Protocol 1 : Total protein crude extraction

Basic Protocol 2 : Total protein clean-up with ethanol precipitation

Alternate Protocol 1 : Total protein clean-up with SP3 method

Basic Protocol 3 : Microsomal fraction protein extraction

Basic Protocol 4 : Protein concentration determination by Bradford assay

Basic Protocol 5 : In-solution digestion with trypsin

Basic Protocol 6 : Phosphopeptide enrichment with TiO2

Alternate Protocol 2 : Phosphopeptide enrichment with Fe(III)-NTA cartridges

Basic Protocol 7 : Peptide desalting with C18 material

Basic Protocol 8 : LC-MS/MS analysis of (phospho)peptides and spectrum matching

INTRODUCTION

Maize (Zea mays), wheat (Triticum aestivum), and rice (Oryza sativa) are among the most important cereals globally (Erenstein, Chamberlin, & Sonder, 2021). Productivity and sustainability are constantly challenged by various abiotic and biotic stresses (Grote, Fasse, Nguyen, & Erenstein, 2021), and the variability of the environment is becoming increasingly challenging in the context of climate change. Proteins are known to perceive stress stimuli as sensor proteins, are involved in signaling transduction, and participate in the formation of the plant phenotype by regulating metabolism and development (Lamers, Van Der Meer, & Testerink, 2020). Protein phosphorylation is the most widespread and reversible modification in plants (Millar et al., 2019). It can be stimulated by different stresses, and it modulates protein activity, integrates information from different signaling pathways, and conducts signal transduction at the cellular level, resulting in plant physiology changes (Millar et al., 2019; Schwessinger et al., 2011).

Nowadays, omics platforms provide an opportunity to quantify the stress responses of proteins and their phosphorylation dynamics on a large scale, allowing one to generate a systemic view of stress regulation in plants with new discoveries in a highly efficient manner. For example, proteome profiling revealed common and specific biological responses to different mineral nutrient deficiencies in maize root hairs (Li, Phillip, Neuhäuser, Schulze, & Ludewig, 2015) and suggested important processes involved in drought-tolerant responses and their memory effects (Schulze, Altenbuchinger, He, Kränzlein, & Zörb, 2021). Integration of the transcriptome and proteome created a complementary profile of molecular responses to phosphate deficiency in maize (He et al., 2021; Nie et al., 2021). Phosphoproteomic studies in maize discovered several proteins with differential changes in phosphorylation state that may relate to salt-stress tolerance (Zhao, Bai, Jiang, & Li, 2019) and provided insights into early phosphorylation events triggered by water status (Bonhomme, Valot, Tardieu, & Zivy, 2012). Phosphoproteomic studies also provided insights into phosphorylation dynamics induced by temperature stress in maize and wheat (Hu et al., 2015; Vu et al., 2018) and identified phosphoproteins involved in plant-pathogen iterations (Ding et al., 2016).

Analytical platforms for the proteome and phosphoproteome have been developed and greatly improved over the last decades. The dominant platforms shifted from a 2D gel–based system to liquid chromatography (LC) with tandem mass spectrometry (LC-MS/MS) (Cao et al., 2019; Luís, Alexandre, Oliveira, & Abreu, 2016). The basic workflow of such a system involves protein extraction, protein digestion, phosphopeptide enrichment, and analysis on large-scale mass spectrometry (MS) platforms. Sample processing in each step can be quite diverse depending on the plant materials, the biochemical properties of the materials, and laboratory capabilities. However, specific challenges arise when processing tissues from crop plants: the tissues are commonly rich in fiber and contain a high number of secondary metabolite compounds that significantly interfere with protein extraction and phosphopeptide enrichment (Wu, Gong, & Wang, 2014). After protein digestion, the phosphopeptides can be enriched by charged metal ions (Fe3+, Ga3+, Zr3+) or by complexing with titanium dioxide (TiO2) (Millar et al., 2019). Nowadays, the enrichment procedure has become simpler by using commercial beads or cartridges that are covered or filled with the phosphopeptide-selective materials (Beltran & Cutillas, 2012). Robotized automation of the sample handling process permits multiple-sample processing at high throughput. Here, we compile a simple, rapid, and efficient experimental workflow that is universal for bottom-up proteomic and phosphoproteomic studies in plants, with a special focus on the properties of tissues from cereal crops. To meet the challenge of removing secondary metabolite compounds, we provide two alternative protein clean-up methods, including an ethanol (EtOH) precipitation (PC) method and the single-pot, solid-phase-enhanced sample preparation (SP3) method (Hughes et al., 2019). Because each phosphopeptide enrichment material has different affinities for phosphopeptide subsets, we offer two alternative phosphopeptide enrichment methods, one with a TiO2-based material and one using Fe(III)-NTA cartridges. We have successfully applied this workflow for proteome and phosphoproteome analyses, and the provided protocols also work well with low amounts of tissue input (He et al., 2021; Li et al., 2015; Schulze et al., 2021).

Membranes, especially proteins located in the plasma membrane (PM), are involved in stress perception and play a key role in signal transduction to regulate different biological processes and cellular events. However, these proteins are low in abundance and difficult to detect in total protein extracts. Therefore, microsomal fraction (MF) protein isolation is included to offer a membrane-focused phosphoproteome. Therefore, we adapted a highly efficient single-step method for enrichment of low-abundance phosphopeptides from plant membranes (Wu et al., 2017) to the tissue properties of cereals.

STRATEGIC PLANNING

A typical experimental workflow for phosphoproteome analysis consists of tissue disruption, protein extraction, protein clean-up, trypsin digestion, phosphopeptide enrichment, desalination, and LC-MS/MS runs (Fig. 1). When omitting the phosphopeptide enrichment step, the protocol is a typical workflow for whole proteome analysis, which is usually followed by protein abundance profiling studies. Phosphorylated peptides usually make up a small percentage of all digested peptides in whole proteomes. Therefore, for research questions focusing on phosphorylation events, phosphopeptide enrichment is required to increase the depth and reproducibility of phosphopeptide quantification. By including phosphopeptide enrichment, the focus is put on the proteome subset that is potentially regulated by external treatment and/or active in signaling processes (Millar et al., 2019).

Workflow and corresponding protocols for proteome and phosphoproteome analysis.
Workflow and corresponding protocols for proteome and phosphoproteome analysis.

Basic Protocol 1 describes total protein extraction, and Basic Protocol 2 is designed for subsequent clean-up of the protein from Basic Protocol 1 by precipitation (PC method). Alternate Protocol 1 describes protein clean-up using the SP3 method. Basic Protocol 3 describes MF protein isolation, which is independent from Basic Protocols 1 and 2 and suitable for research questions focusing on membrane-located proteins.

Basic Protocol 4 is necessary for label-free-quantification MS analysis; we provide a common protocol using Bradford reagent to determine protein concentration. Basic Protocol 5 provides a protocol for in-solution trypsin digestion. Basic Protocol 6 describes phosphopeptide enrichment with a TiO2-based enrichment method to be performed manually, and in Alternate Protocol 2, we provide an enrichment method using Fe(III)-NTA cartridges with robotics manipulation. Thus, readers can select either method based on accessibility and depending on their research aims.

NOTE : All solutions are in ultrapure water (∼0.055 μS/cm; e.g., Sartorius) unless otherwise indicated.

Basic Protocol 1: TOTAL PROTEIN CRUDE EXTRACTION

This protocol describes total protein crude extraction and requires total protein extraction buffer, which contains the following. The compounds 6 M urea and 2 M thiourea are high-concentration chaotropic compounds that disrupt hydrogen bonds and hydrophobic interactions in proteins, thereby bringing insoluble proteins into solution in an unfolded form. Phenylmethanesulfonyl fluoride (PMSF) is a protease inhibitor that prevents protein degradation during sample preparation. DL-Dithiothreitol (DTT) reduces disulfide bonds to unfold protein complexes to improve protein solubility. Polyvinylpolypyrrolidone (PVPP) has a high affinity toward polyphenols and is used to remove them from crude extracts. For phosphoproteomics applications, it is recommended to add protease and phosphatase inhibitors to prevent phosphorylated proteins from undergoing dephosphorylation during sample preparation.

Materials

  • Liquid nitrogen

  • Frozen plant sample: maize root and shoot or wheat leaf (about 200 mg to 1 g; freshly harvested or frozen at −80°C)

  • Total protein extraction buffer (see recipe; make fresh)

  • Mortar and pestle of proper size

  • 2-ml tubes (e.g., Eppendorf)

  • Vortex shaker (e.g., Scientific Industries Vortex-Genie 2 with microtube insert)

  • Refrigerated microcentrifuge (e.g., Eppendorf 5430R), 4°C

  • 5-ml tubes (e.g., Eppendorf; optional)

1.Pre-cool a mortar and pestle of proper size with liquid nitrogen, place frozen plant sample into the cold mortar, add liquid nitrogen to cool down sample, and then grind tissue into fine powder with the cold pestle.

Note
The better the powder, the more efficient the extraction. Choose a proper size of mortar depending on the volume of the tissues, e.g., an 80-ml mortar for 200 mg tissues.

Note
Optional: Grind the tissue with pre-cooled balls and containers using a ball mill (e.g., Retsch, MM400).

2.Pre-cool a 2-ml tube with liquid nitrogen and weigh 50 to 200 mg ground powder into pre-cooled tube.

Note
Different tissues have different protein extraction efficiency. For example, roots give lower yields than leaves. Adjust the amount of input sample appropriately according to the tissue type.

3.Add 0.5 to 1 ml total protein extraction buffer and mix on a vortex shaker for 1 hr at 4°C.

Note
Avoid high temperatures and prolonged incubations because urea can cause carbamylation at the N-termini of proteins or peptides, which will impede LC-MS/MS quantification (see Basic Protocol 8).

4.Centrifuge mixture for 10 to 20 min at 21,000 × g , 4°C. Transfer supernatant to a fresh 2- or 5-ml tube.

Note
The duration of centrifugation depends on the ground tissue type.

Note
Transfer the supernatant to a 5-ml tube if the volume is >300 µl.

Note
Store the supernatant for up to several months at –20°C if not using it immediately for further processing in Basic Protocol 2.

Basic Protocol 2: TOTAL PROTEIN CLEAN-UP WITH ETHANOL PRECIPITATION

The total protein crude extracts from Basic Protocol 1 contain large amounts of interfering substances, such as phenolics, lipids, organic acids, carbohydrates, terpenes, and pigments that are necessary to remove. A high concentration of EtOH can reduce protein solubility, resulting in protein precipitation. Sodium acetate provides positively charged Na+ to neutralize negatively charged residues on the surface of proteins and acidify the solution environment to assist in reducing protein solubility.

Materials

  • EtOH, absolute (Sigma-Aldrich, cat. no. 34852-M)

  • Total protein extract supernatant (see Basic Protocol 1)

  • 2.5 M sodium acetate, pH 5.0 (see recipe)

  • 8 M UTU (see recipe; make fresh)

  • Microcentrifuge (e.g., Eppendorf 5430R)

  • Cleaning wipes (e.g., KIMTECH SCIENCE)

1.Add 5 volumes of EtOH to the total protein extract supernatant from Basic Protocol 1.

2.Add 100 to 300 µl (∼1/20 of the total volume) of 2.5 M NaOAc (pH 5.0). Mix gently by inverting several times and incubate at room temperature (24°C) for 3 hr.

3.Centrifuge 20 min at 21,000 × g.

4.Discard supernatant, carefully removing the residual liquid from the tube wall with a cleaning wipe.

5.Gently resuspend pellet with 100 to 300 µl of 8 M UTU as total protein.

Note
The volume of resuspension buffer needed depends on the pellet size, which can differ from tissue to tissue. Resuspension must be done very gently to avoid induction of air bubbles in the tube. This can be achieved by gentle pipetting. Vortexing is not recommended, as it results in air bubble formation.

6.Proceed to Basic Protocol 4 to determine protein concentration and make protein aliquots.

Alternate Protocol 1: TOTAL PROTEIN CLEAN-UP WITH SP3 METHOD

SP3 technology (Hughes et al., 2019) applies paramagnetic beads coated with carboxyl to bind proteins by hydrophilic interaction. Unbound substrates in the solution will be easily removed with a magnetic rack and pipet. This technique supports on-bead tryptic digestion, so clean-up of proteins and protein digestion will be conducted in the same tube. This protocol is a combined alternative to Basic Protocols 2 and 5.

Materials

  • SpeedBeads magnetic carboxylate-modified particles (GE Healthcare, cat. no. 45152105050250/65152105050250)

  • Ultrapure water (∼0.055 μS/cm; e.g., Sartorius)

  • Total protein extract supernatant (see Basic Protocol 1)

  • 8 M UTU (see recipe; make fresh)

  • 6.5 mM DTT (e.g., Sigma-Aldrich, cat. no. D0632)

  • 27 mM iodoacetamide (IAA; e.g., Sigma-Aldrich, cat. no. I1149)

  • EtOH (e.g., Sigma-Aldrich, cat. no. 34852-M)

  • 80% (v/v) EtOH (e.g., Sigma-Aldrich, cat. no. 34852-M)

  • 100 mM ammonium bicarbonate (ABC; e.g., Sigma-Aldrich, cat. no. A6141; store ≤1 month in cool place)

  • Lys-C (e.g., Promega, cat. no. VA1170; optional)

  • 0.4 μg/μl trypsin, modified sequencing grade (e.g., Promega, cat. no. V5113)

  • 10% (v/v) trifluoroacetic acid (TFA; e.g., Thermo, cat. no. 85183)

  • 1.5- and 2-ml tubes (e.g., Eppendorf)

  • Magnetic rack

  • Tube shaker (e.g., Thermo-Shaker, BioSan TS-100C), room temperature and 37°C

  • Microcentrifuge (e.g., Eppendorf 5430R)

  • Additional reagents and equipment for determining protein concentration and making protein aliquots (see Basic Protocol 4)

  • CAUTION : Prepare the TFA solution in a fume hood.

Ready-to-use bead preparation

1.Calculate required amount of SpeedBeads magnetic carboxylate-modified particles (abbreviated as “beads” below).

Note
For example, 2 mg (40 µl) of beads is required for every 200 µg protein.

2.Resuspend beads well in the original bottle, immediately transfer required amount of beads (according to the calculation in step 1) to a new 2-ml tube, place tube on a magnetic rack for 2 min to make the beads settle to the bottom of the tube, and then discard supernatant using a pipet.

3.Remove tube from the magnetic rack, add 400 µl ultrapure water and gently mix beads and water by inversion, put tube back on the magnetic rack for 2 min, and then discard supernatant using a pipet.

4.Repeat step 3 two more times.

5.Resuspend beads with 40 µl ultrapure water per 2 mg beads.

Note
Prepared beads can be stored ≤1 month at 4°C.

Protein aliquots and pre-digestion

6.According to Basic Protocol 4, determine protein concentration and make protein aliquots (e.g., 200 µg protein per aliquot) of the total protein extract supernatant from Basic Protocol 1.

7.Bring up volume of each aliquot to 452 µl with 8 M UTU.

8.Add 4 µl of 6.5 mM DTT per 200 µg protein and incubate at room temperature for 30 min.

9.Add 4 µl of 27 mM IAA per 200 µg protein and incubate in the dark at room temperature for 20 min.

Protein clean-up with ready-to-use beads

10.Add 40 µl ready-to-use beads from step 5 for every 200 µg protein.

11.Add 500 µl EtOH to induce protein-bead binding.

Note
Avoid excessive mixing to minimize loss due to beads sticking to the upper region of the tube.

12.Briefly shake to homogenize and incubate at room temperature (24°C) for 15 min with shaking at 1000 rpm.

13.Place tube on the magnetic rack for 2 min and then discard supernatant using a pipet.

Note
Pay attention to the binding pattern of beads on the interior bottom tube wall. If the beads on the tube wall show a distributed spread, then it means the proteins bound to the beads nicely.

14.Remove tube from the rack, add 1.5 ml of 80% EtOH, and mix by pipetting to wash beads.

15.Place tube in the magnetic rack for 2 min and then discard supernatant using a pipet.

16.Repeat steps 14 and 15 two more times.

17.Remove tube from the rack and add 200 µl of 100 mM ABC to tube.

Protein-on-beads digestion

18.Optional: Add 4 μl Lys-C per 200 μg protein, gently shake tube to mix the solution and beads, and incubate at room temperature for 3 hr.

Note
Lys-C is recommended when phosphopeptide enrichment is desired, as trypsin often fails to cleave near phosphorylated amino acids. For complex proteome analysis, pre-digestion with Lys-C could increase the number of identified proteins by up to 10%. It is optional as it depends on the researcher's budget.

19.Add 4 µl of 0.4 µg/µl trypsin per 200 µg protein, gently shake tube to mix the solution and beads, incubate at 37°C overnight with shaking at 1000 rpm.

Note
Using a 200-μl tip, gently push the beads not covered by liquid into the digestion solution. Avoid mixing by pipetting up and down. Because the beads are very sticky at this point in the protocol, they will attach to the pipet tip, resulting in protein loss.

20.Centrifuge tube for 1 min at 21,000 × g , at room temperature (24°C).

21.Place tube in the magnetic rack for 2 min.

22.Transfer supernatant to a fresh tube and add 20 µl of 10% TFA solution to acidify sample.

23.Continue to Basic Protocol 6 for phosphoproteome analysis or go directly to Basic Protocol 7 for proteome analysis.

Basic Protocol 3: MICROSOMAL FRACTION PROTEIN EXTRACTION

MF extraction is a common procedure in studies involving membrane proteins. Here, we provide an MF extraction protocol using a glass tissue homogenizer for disruption of cereal plant tissue based on previous work (Pertl-Obermeyer & Obermeyer, 2014; Wu et al., 2017).

Materials

  • Frozen plant sample: maize root and shoot or wheat leaf (about 200 mg to 1 g; freshly harvested or frozen at −80°C)

  • MF extraction buffer (see recipe; make fresh), 4°C

  • 8 M UTU (see recipe; make fresh)

  • Aluminum foil

  • Hammer or pestle

  • 10-ml glass Potter-Elvehjem homogenizer with Teflon pestle (e.g., 10 ml)

  • Miracloth (e.g., EMD Millipore, cat. no. 475855)

  • Glass funnel (e.g., VWR)

  • 50-ml Falcon tubes

  • Refrigerated high-speed benchtop centrifuge (e.g., Sigma-Aldrich 3-30KS), 4°C

  • Ultracentrifuge tubes (30-ml round-bottom tubes, screw cap, for rotor 12158; Sigma-Aldrich 3-30KS)

  • Cleaning wipes (e.g., KIMTECH SCIENCE, cat. no. 05511)

1.Weigh 1 to 3 g frozen plant sample, wrap sample with aluminum foil, and smash wrapped sample into smaller pieces with a hammer or a pestle.

Note
Avoid grinding samples in liquid nitrogen. Keep the samples cool by performing this step as quickly as possible.

2.Transfer frozen plant material into a 10-ml glass Potter-Elvehjem homogenizer with a Teflon pestle and add 10 ml cold MF extraction buffer, and place homogenizer into an ice bath. Slowly push and pull pestle while twisting it over the sample to generate a homogenate as thoroughly as possible.

Note
If the sample is >3 g, use a larger homogenizer (e.g., 30 ml) fully filled with extraction buffer. For optimal homogenization, perform at least 200 strokes. An electric cordless driver (e.g., Einhell TE-SD 3,6 Li, cat. no. 45.134.90) can be used to efficiently generate homogenate with less manual labor. Perform the homogenization in a gentle way to avoid formation of air bubbles.

3.Place four layers of miracloth on a glass funnel, hold glass funnel atop a 50-ml Falcon tube on ice, and filter homogenate through the miracloth and into the tube.

Note
Nylon mesh (105 to 150 µm) can be used instead of miracloth.

4.Centrifuge filtered homogenate for 15 min at 7500 × g , 4°C, in a refrigerated high-speed benchtop centrifuge.

5.Transfer supernatant to an ultracentrifuge tube and centrifuge 80 min at 48,000 × g , 4°C.

6.Discard supernatant and carefully remove residual liquid from the tube wall with a cleaning wipe.

Note
Alternatively, collect the supernatant into a fresh Falcon tube as cytoplasmic fraction (CF) protein if it is useful for other experiments.

7.Gently resuspend pellet with 100 to 500 µl of 8 M UTU as MF protein.

Note
The volume for resuspension depends on the size of the MF pellet. Resuspension must be done very gently to avoid formation of air bubbles.

Note
The MF proteins stay natively in the extraction buffer. To keep the proteins in native form for other experiments, resuspension buffer containing 330 mM sucrose/mannitol, 25 mM Tris-MES, pH 7.5, and 0.5 mM DTT is recommended instead of 8 M UTU. Addition of 0.1% dodecylmaltoside (DDM) to the resuspension solution would facilitate the MF solubilization.

8.Proceed to determining protein concentration and making protein aliquots according to Basic Protocol 4.

Basic Protocol 4: PROTEIN CONCENTRATION DETERMINATION BY BRADFORD ASSAY

The Bradford assay (Bradford, 1976) is a colorimetric method to determine protein concentration based on the unspecific interaction of a dye (Coomassie brilliant blue G-250, or CBB) with proteins. Upon binding to proteins, a shift in the absorption maximum of CBB (from 465 to 595 nm) occurs, which can be detected via photometric measurements. As there is a linear relationship between protein concentration and the shift in the absorption maximum, it is an easy and precise tool for reliable protein quantification. Please note that the Bradford assay is not tolerant to high detergent content in the sample.

Materials

  • Ultrapure water (∼0.055 μS/cm; e.g., Sartorius)

  • 1 µg/µl bovine serum albumin (BSA; Sigma-Aldrich, cat. no. A9647)

  • 8 M UTU (see recipe; make fresh)

  • Bradford reagent (Sigma-Aldrich, cat. no. B6916)

  • Total protein extract supernatant (Basic Protocol 1) or resuspended proteins (see Basic Protocol 2 or 3)

  • Flat-bottom, transparent 96-well plate (e.g., microplate 96-well flat-bottom clear, Greiner, cat. no. 655101)

  • Spectrophotometer (e.g., Tecan, Infinite M200 PRO)

  • 1.5-ml Eppendorf tubes

Standard curve

1.Add reagents to wells of a flat-bottom, transparent 96-well plate as follows:

Reagent Example well position
A1 A2 A3 A4 A5 A6
Ultrapure water (μl) 24 23 22 21 20 19
1 μg/μl BSA (μl) 0 1 2 3 4 5
8 M UTU (μl) 1 1 1 1 1 1
Bradford reagent (μl) 200 200 200 200 200 200

Note
The 8 M UTU is applied as blank buffer. For proteins resuspended in another resuspension buffer, change the 8 M UTU to that resuspension buffer.

2.Incubate at room temperature in the dark for 15 min and then determine absorbance at 595 nm using a spectrophotometer.

3.Generate a standard curve with linear regression (absorbance read A595 = a × protein concentration + b) and display equation and R2 value on the chart.

Note
The regression fit to estimate a, b, and R2 can be performed in spreadsheet software (e.g., Excel).

Resuspended protein concentration

4.To determine the unknown protein concentration, add the following reagents to another well:

Reagent Example well position
A7
Ultrapure water (μl) 24
Total protein extract supernatant or resuspended proteins (μl) 1
Bradford reagent (μl) 200

5.Incubate at room temperature in the dark for 15 min and then determine absorbance at 595 nm using a spectrophotometer.

Note
A prolonged incubation time or exposure to light can alter the results, as CBB gets oxidized naturally by the oxygen in the air.

6.Calculate unknown protein concentration.

Note
Resuspended protein concentration (μg/μl) = (A595 – b)/a, where a and b are derived from the standard curve in step 3.

Note
In principle, unknown protein concentrations ranging from 1 to 5 µg/µl can be determined relatively accurately. Concentrations outside this range may be measured with significantly reduced accuracy. In this case, adjust the concentrations used in the standard curve accordingly.

Protein aliquots

7.Make protein aliquots into fresh 1.5-ml Eppendorf tubes.

Note
Typical amounts of protein in aliquots are 150 to 200 µg for phosphoproteome analysis and 5 to 7 µg for proteome analysis. Adjust the amount of protein in each aliquot according to the availability of protein extracts and the quantitation ability of the LC-MS/MS (see Basic Protocol 8). If less than the recommended protein amount is available, the protocol will still work but will yield fewer protein/peptide identifications.

Note
Store the supernatant for up to several months at –80°C if not used immediately.

Basic Protocol 5: IN-SOLUTION DIGESTION WITH TRYPSIN

Before LC-MS/MS analysis (Basic Protocol 8), the protein should be digested into peptides ideally ranging between 7 and 20 amino acids in length and that likely produce a positive charge during electrospray ionization. The 8 M UTU provides a good buffering environment for protein resuspension and unfolding, making proteins accessible to enzymatic digestion. The DTT and IAA prevent the formation of disulfide bonds from cysteine residues and aid in the complete denaturation of proteins for enzymatic digestion. Endoproteinase Lys-C cleaves peptide chains at the C-terminal side of lysine (K), and trypsin cuts at the C-terminal side of lysine (K) or arginine (R). It is optional to add Lys-C, which reduces the number of proteins identified with miscleavages by trypsin, especially in the high-urea environment. Pre-digestion with Lys-C can increase the number of identified peptides by up to 10%, but on the whole-protein level, it rarely affects the downstream analysis. For phosphopeptide analysis, pre-digestion is recommended, as trypsin often misses cleavage near phosphorylated amino acids. The TFA acidifies the buffer environment to stop the trypsin digestion reaction and adds positive charge to the peptides.

Materials

  • Aliquots of protein from Basic Protocol 2 or 3 (see Basic Protocol 4)

  • 8 M UTU (see recipe)

  • 6.5 mM DTT (e.g., Sigma-Aldrich, cat. no. D0632)

  • 27 mM IAA (e.g., Sigma-Aldrich, cat. no. I1149)

  • Lys-C (e.g., Promega, cat. no. VA1170; optional)

  • 10 mM Tris/HCl, pH 8.0 (see recipe)

  • 0.4 μg/μl trypsin, modified sequencing grade (e.g., Promega, cat. no. V5113)

  • 10% (v/v) TFA (e.g., Thermo, cat. no. 85183)

  • Tube shaker (e.g., Thermo-Shaker, BioSan TS-100C), 37°C

  • pH strips (e.g., Roth, cat. no. 0549.2)

  • Microcentrifuge (e.g., Eppendorf 5430R)

  • 1.5-ml Eppendorf tubes

  • Rotary vacuum concentrator (e.g., Christ, RVC 2-25 CD plus; optional)

  • CAUTION : Prepare the TFA solution in a fume hood.

1.Bring up volume of the aliquots of protein from Basic Protocol 2 or 3 to the same level using 8 M UTU.

Note
This step enables adding an equal volume of dilution buffer to each aliquot in step 5, which is more convenient when processing many samples and reduces reaction variance among aliquots.

2.Add 4 µl of 6.5 mM DTT per 200 µg protein and incubate at room temperature for 30 min.

3.Add 4 µl of 27 mM IAA per 200 µg protein and incubate in the dark at room temperature for 20 min.

4.Optional: Add 4 μl Lys-C per 200 μg protein and incubate at room temperature for 3 hr.

Note
Lys-C is recommended when phosphopeptide enrichment is desired, as trypsin often fails to cleave near phosphorylated amino acids. For complex proteome analysis, pre-digestion with Lys-C could increase the number of identified proteins by up to 10%. It is optional as it depends on the researcher's budget.

5.Dilute solution with 4 volumes of 10 mM Tris/HCl (pH 8.0).

Note
This step is absolutely necessary to dilute the urea concentration; trypsin is very sensitive to high salt.

6.Add 4 μl of 0.4 μg/μl trypsin per 200 μg protein and incubate at 37°C overnight with shaking at 1000 rpm.

7.Acidify solution with 0.02 volumes of 10% TFA. Test solution pH with pH strips to verify it has been acidified to around pH 2.

Note
If the sample pH remains more alkaline, carefully add more of the 10% TFA solution to reach pH 2.

8.Centrifuge acidified solution for 10 min at 21,000 × g and then transfer supernatant to a fresh 1.5-ml Eppendorf tube.

9.Dry supernatant in a rotary vacuum concentrator and then proceed to Alternate Protocol 2 for phosphoproteome analysis or go directly to Basic Protocol 7 for whole proteome analysis of the supernatant.

Basic Protocol 6: PHOSPHOPEPTIDE ENRICHMENT WITH TiO2

TiO2 has a high affinity toward phosphopeptides (and other rather acidic peptides) and is water insoluble. Phosphopeptides can be loaded onto TiO2 beads in an acidic environment (loading buffer) and eluted from TiO2 beads into alkaline buffer (elution buffer). When using TiO2 bulk material to enrich the phosphopeptides, the buffer exchanges and removal of non-phosphopeptides are easily achieved by spinning and pipetting. The formic acid in the final step is used to create positively charged phosphopeptides that can bind to the C18 material in Basic Protocol 7.

Materials

  • TiO2 beads (e.g., GL Science, cat. no. 5020-75000)

  • Methanol (e.g., Sigma-Aldrich, cat. no. 34860)

  • Elution buffer: 1% (v/v) ammonia (NH4OH) solution (Sigma-Aldrich, cat. no. 5438300250)

  • Dried peptides (see Alternate Protocol 1)

  • Loading buffer (see recipe)

  • Wash buffer: 80% (v/v) acetonitrile (ACN; Sigma-Aldrich, cat. no. 34851) and 1% (v/v) TFA (Thermo, cat. no. 85183)

  • 10% (v/v) formic acid (FA; e.g., Roth, cat. no. 4724.1)

  • 2-ml round-bottom Eppendorf tubes

  • Vortex shaker (e.g., Scientific Industries Vortex-Genie 2 with microtube insert)

  • Microcentrifuge (e.g., VWR MiniStar silverline)

  • 1.5-ml Eppendorf tubes

  • CAUTION : Combine the ACN and TFA in the wash buffer in a fume hood and prepare the FA solution in a fume hood.

Ready-to-use TiO2 preparation

1.Weigh 2 mg TiO2 beads per 200 μg protein into a 2-ml round-bottom Eppendorf tube.

2.Add 200 μl methanol and suspend TiO2 beads by shaking on a vortex shaker for 60 s. Then, centrifuge 2 min at 2000 × g and carefully remove methanol with a pipet.

Note
CAUTION: Add the methanol in a fume hood.

3.Add 200 μl elution buffer to TiO2 beads and shake on vortex shaker for 10 min. Then, centrifuge 2 min at 2000 × g and carefully remove buffer with a pipet.

4.Add 100 μl wash buffer to TiO2 beads and shake on vortex shaker for 2 min. Then, centrifuge 2 min at 2000 × g and carefully remove buffer with a pipet.

5.Repeat step 4 two more times.

Note
Now the TiO2 beads are ready to use.

Phosphopeptide enrichment with ready-to-use TiO2

6.Resuspend dried peptides from Alternate Protocol 1 with 200 μl loading buffer.

7.Transfer resuspended peptides to the ready-to-use TiO2 beads and incubate for 30 min with continuous shaking on a vortex shaker.

8.Centrifuge 2 min at 2000 × g and carefully transfer supernatant to a fresh tube with a pipet or discard.

Note
The buffer contains peptides that did not bind to the TiO2. If these unbound peptides are required to also be quantified, collect the supernatant into a fresh tube; otherwise, discard the buffer.

9.Add 100 μl loading buffer to TiO2 beads, briefly shake on vortex shaker for 60 s, centrifuge 2 min at 2000 × g , and carefully transfer supernatant to a fresh tube with a pipet or discard.

Note
The buffer contains peptides that did not bind to the TiO2. If the unbound peptides are required to be quantified, collect the supernatant into a fresh tube; otherwise, discard the buffer.

Note
To quantify the unbound peptides by LC-MS/MS, dry the collected buffer in a vacuum dry evaporation system, resuspend the dried peptides with 10 mM Tris/HCl (pH 8.0), acidify the buffer to pH 2 with 10% TFA, and desalt with C18 according to Basic Protocol 7. Unbound peptides are then ready to be quantified by LC-MS/MS as in Basic Protocol 8.

10.Add 100 μl wash buffer to TiO2 beads, shake on vortex shaker for 2 min, centrifuge 2 min at 2000 × g , and carefully remove supernatant with a pipet.

11.Repeat steps 9 and 10 two more times.

12.Add 80 μl elution buffer to TiO2 beads and incubate for 15 min with continuous shaking on vortex shaker.

13.Centrifuge 2 min at 2000 × g and carefully transfer supernatant to a fresh 1.5-ml Eppendorf tube with a pipet.

Note
The buffer in this step contains eluted phosphopeptides.

14.Repeat steps 12 and 13 for two more cycles.

15.Add 60 μl of 10% FA to 240 μl eluate.

16.Centrifuge acidified solution for 10 min at 21,000 × g , transfer supernatant to a fresh tube, and directly proceed to Basic Protocol 7.

Note
In the case that samples need to be stored before LC-MS/MS analysis (see Basic Protocol 8), we recommend storing the samples at –20°C after desalting (see Basic Protocol 7).

Alternate Protocol 2: PHOSPHOPEPTIDE ENRICHMENT WITH Fe(III)-NTA CARTRIDGES

Robotized automation of sample preparation significantly reduces hands-on time and improves sample handling consistency. This protocol (an alternative to Basic Protocol 6) describes phosphopeptide enrichment using the Agilent Bravo Automated Liquid Handling Platform. The Fe3+ can interact with negatively charged phosphate groups on the peptides, and it has been widely applied as an immobilized metal-ion affinity-based enrichment method. The Fe(III)-NTA cartridge is a standard product for phosphopeptide enrichment using the Agilent Bravo platform (Russell & Murphy, 2016). Of course, other cartridge materials as offered by other manufacturers can also be used following this protocol.

Materials

  • Robot buffers:

    • Reversed Phase S Priming buffer and Syringe Wash buffer (70% ACN, 0.1% TFA)
    • Reversed Phase S Elution buffer (70% ACN, 0.1% TFA)
    • Reversed Phase S Equilibration and Cartridge Wash buffer (5% ACN, 0.1% TFA)
    • FE(III)-NTA cartridges Priming buffer and Syringe Wash buffer (99.9% ACN, 0.1% TFA)
    • FE(III)-NTA cartridges Elution buffer (99% H2O, 1% NH3)
    • FE(III)-NTA cartridges Equilibration and Cartridge Wash buffer (80% ACN, 1% TFA)
  • Dried peptides (see Basic Protocol 5)

  • Loading buffer (see recipe)

  • 10% (v/v) FA (Roth, cat. no. 4724.1)

  • Bravo Automated Liquid Handling Platform (Agilent)

  • Labware (all Agilent):

    • 96 AssayMAP Head (Agilent, cat. no. G5058A)
    • 96 V11 LT 250 Tip Box (cat. no. 19477.002)
    • 96AM Cartridge Seating Station (cat. no. G5409-20025)
    • 96 AbGene 1127, 1 ml Deep Well, Square Well, Round Bottom
    • 96 Greiner 650201, U-Bottom Standard, PolyPro
    • 96 Eppendorf 30129300, PCR, Full Skirt, PolyPro
    • 12 Column, Low Profile Reservoir, Natural PP (cat. no. 201280-100)
  • AssayMAP Reversed Phase S 5-µl cartridges (Agilent, cat. no. G5496-60033)

  • AssayMAP Fe(III)-NTA cartridges (Agilent, cat. no. G5496-60085)

  • CAUTION : Combine the ACN and TFA in the robot buffers in a fume hood and prepare the FA solution in a fume hood.

Robot system initialization

1.Turn on water pump, robot, thermo controller, and computer for the Bravo Automated Liquid Handling Platform (Agilent).

Note
Prepare the robot system according to the standard manuals from Agilent.

2.Open “Protein Sample Prep Workbench” application on the computer to connect the robot and access the operation interface. Click on “Utility Library,” go to “System Startup/Shut down v2.2,” and start program “Run Startup.”

Peptide clean-up

3.When the “Run Startup” program has finished, click “APP Library” button and go to program “Peptide Cleanup v3.0.”

4.In the “Select method” area, click “…” button to browse the methods folder. View ready-to-use methods located at “VWorks Workspace” > “Methods” > “AM Peptide Cleanup v3.0.” Select method file with the default setting and click on “Load.”

Note
As soon as the loading finishes, all the parameter boxes on the operation interface can be filled with numbers from the default method setting.

5.Change parameters according to the experiment requirements. Select labware according to the experiment in the “Labware Table” area on the interface.

Note
Examples for the parameters are shown for reference (Fig. 2).

Screenshot presenting the reference parameters for the Agilent robot for phosphopeptide enrichment preparation. (A) Peptide Cleanup program parameters. (B) Phosphopeptide Enrichment program parameters.
Screenshot presenting the reference parameters for the Agilent robot for phosphopeptide enrichment preparation. (A) Peptide Cleanup program parameters. (B) Phosphopeptide Enrichment program parameters.

6.According to the “Deck Layout” and “Labware Table,” place corresponding labware and AssayMAP Reversed Phase S 5-µl cartridges at the required deck position on the robot stations.

7.Fill corresponding robot buffers in deck numbers 5, 6, and 8.Resuspend dried peptides from Basic Protocol 5 in 200 ml loading buffer and transfer into appropriate Labware (96 Greiner 650201, U-Bottom Standard, PolyPro) at deck position 4 (see Fig. 2).

Note
Always double-check that the layout on the robot is the same as described in the method interface.

8.Click on “Run Protocol.”

Note
Protein samples need to be acidified by 10% TFA (Thermo, cat. no. 85183) to pH 2 (step 7 in Basic Protocol 5) before loading on the reversed-phase cartridges.

Note
The AssayMAP Reversed Phase S 5-µl cartridges can be stored in their priming buffer and used up to five times.

Phosphopeptide enrichment with Fe(III)-NTA cartridges

9.When the protocol program finishes, click “App Library” button and go to program “Phosphopeptide Enrichment v2.1.”

Note
In the program, the parameter boxes are prefilled with default settings.

10.Change parameters according to the experiment requirements. Select labware in the “Labware Table” area.

Note
Reference parameters and labware are shown in Figure 2.

11.Prepare corresponding labware plate and AssayMAP Fe(III)-NTA cartridges at the right deck position on the robot stations.

12.Fill corresponding robot buffers into the labware at deck numbers 5, 6, and 8.

Note
Double-check the layout on the robot. It should be the same as described in the method interface.

13.Click on “Run Protocol.”

14.When the protocol program finishes, take final eluate plate off deck 9 and immediately add 20 µl of 10% FA to acidify samples.

Note
The volume of 10% FA required for acidification depends on the elution volume. It is recommended to use pH strips to measure sample pH. Acidified samples should be at around pH 2 (see also step 7 of Basic Protocol 5).

Finalization and robot system shut-down

15.Save leftover buffers or discard into a special waste station and tidy up robot stations.

Note
AssayMAP FE(III)-NTA cartridges can be washed and stored in their priming buffer and used up to three times. However, if the used cartridge is found drying in the air for >20 min or the filling of the cartridge has cracked, throw the cartridge away. Regenerated cartridges should still be light yellow in color. If the phosphopeptides are in a solution with colorful substance (e.g., plant secondary metabolites) and this changed the color of the cartridge after use, throw the cartridge away.

16.Click “Utility Library” button and go to “System Startup/Shut down v2.2.” Run program “Run Shutdown.” As soon as the program finishes, shut down system according to the user manual from Agilent.

Basic Protocol 7: PEPTIDE DESALTING WITH C18 MATERIAL

Salts can interfere with the column resolution, and peptide solutions containing high salt are usually not suitable to run in LC-MS/MS (Basic Protocol 8) due to highly dominant salt ions. This protocol describes using the Empore Disk C18 material for reversibly binding peptides for desalination and concentration (Rappsilber, Ishihama, & Mann, 2003).

Materials

  • Solution B: 80% (v/v) ACN (Sigma-Aldrich, cat. no. 34851) and 0.5% (v/v) acetic acid (Thermo, cat. no. 85183; store at room temperature or 4°C)

  • Solution A: 0.5% (v/v) acetic acid (Thermo, cat. no. 85183; store at room temperature or 4°C)

  • Supernatant (see Alternate Protocol 1 or 2 or Basic Protocol 5 or 6)

  • Empore Disk C18 (e.g., Varian, cat. no. 12145004)

  • Blunt-tipped hypodermic needle

  • Suitable-diameter stick (to allow passage through needle)

  • 200-µl pipet tip (e.g., VWR, cat. no. 89041-378)

  • Centrifuge adapter (for 200-µl pipet tip; e.g., GL Sciences, 5010-21341)

  • 2-ml round-bottom Eppendorf tube

  • Microcentrifuge (e.g., Eppendorf 5430R)

  • 1.5-ml Eppendorf tube

  • Rotary vacuum concentrator (e.g., Christ, RVC 2-25 CD plus)

  • CAUTION : Prepare Solutions A and B in a fume hood.

Immobilization of C18 material in pipet tip

1.Place an Empore Disk C18 on a flat, clean surface (e.g., disposable plastic petri dish).

2.Press and twist a blunt-tipped hypodermic needle into Empore Disk C18 to punch out two small pieces.

3.Push small pieces of disk out of the needle with a suitable-diameter stick and immobilize it in taper of a 200-µl pipet tip.

Note
One piece of disk can bind ∼100 µg protein. It can be stored for long periods of time at room temperature.

Ready-to-use C18 tip preparation

4.Hold C18 tip with a centrifuge adapter and place it into a 2-ml round-bottom Eppendorf tube.

5.Add 50 µl Solution B to C18 tip and centrifuge ∼5 min at 3000 × g , until solution has completely passed through the C18 tip.

6.Discard waste solution in the tube.

7.Add 100 μl Solution A to C18 tip and centrifuge about 5 to 8 min at 3000 × g , until solution has completely passed through the C18 tip.

8.Discard waste solution in the tube.

9.Repeat steps 7 and 8 once more.

Note
Now the C18 tip is ready to bind peptides.

Peptide desalting

10.Transfer supernatant from Alternate Protocol 1 or 2 or Basic Protocol 5 or 6 to the ready-to-use C18 tip and centrifuge about 5 to 10 min at 3000 to 6000 × g , until solution has completely passed through the C18 tip.

Note
Avoid aspiration of any pellet. The maximum loading volume for one centrifugation is 150 µl.

11.Discard waste solution in the tube.

12.Add 100 μl Solution A to wash peptides bound to the C18 tip and centrifuge about 5 to 10 min at 3000 to 6000 × g , until solution has completely passed through the C18 tip.

13.Discard waste solution in the tube.

14.Repeat steps 12 and 13 once more.

15.Centrifuge C18 tip with bound peptides for 2 min at 3000 × g to remove residual solution on the tip.

16.Place C18 tip in a fresh 1.5-ml Eppendorf tube.

17.Add 20 μl Solution B to elute peptides from the C18 tip and centrifuge 5 min at 3000 × g until solution has completely passed through the C18 tip.

18.Repeat step 17 once more.

19.Concentrate eluted peptides in a rotary vacuum concentrator until completely dry.

Note
Dried peptides can be stored dry for a long time at –20°C.

Basic Protocol 8: LC-MS/MS ANALYSIS OF (PHOSPHO)PEPTIDES AND SPECTRUM MATCHING

The complex peptide mixture obtained at the end of Basic Protocol 7 is separated by reversed-phase LC and is then directly detected and quantified by tandem MS (MS/MS). We apply the Thermo EASY-nLC 1200 system as a nanoflow liquid ultra-high pressure chromatography system (UHPLC). We use a C18 stationary phase packed into an EASY-Spray analytical column (25 cm × 75 μm inner diameter). Eluting peptides are directly sprayed into the mass spectrometer after ion spray ionization. The MS platform that we use here is the Thermo Q-Exactive HF Hybrid Quadrupole-Orbitrap Mass Spectrometer. The raw spectrum scans from MS are subjected to matching against proteome sequences from the respective organism using the application MaxQuant (Version 2.0.3.0) (Cox & Mann, 2008; Tyanova, Temu, & Cox, 2016). The reference protein sequence database is downloaded from EnsemblPlants (https://plants.ensembl.org/index.html). We describe the parameter settings for LC-MS/MS analysis and MaxQuant data processing for phosphoproteome analysis in Table 1.The settings for non-modified proteins can be found in previous studies (He et al., 2021; Li et al., 2015; Schulze et al., 2021).

Table 1. LC-MS/MS Parameters for the Analysis of Phosphopeptides
Instrument Parameter Setting
LC system

Sample loading

Gradient length (min)

Gradient flow rate (nl/min)

Linear gradient (% LC solvent B in LC solvent A)

At max. pressure 900 bar

90

250

2%-55% for 60 min

55%-95% for 10 min

95% for 5 min

95%-2% for 5 min

2% for 10 min

Ion source

Column heater temperature (°C)

Spray voltage (kV)

Capillary temperature (°C)

35

2.0

250

Mass spectrometer: full MS

Resolution (at m/z 200)

Automatic gain control target (ions)

Maximum injection time (ms)

Scan range (m/z)

60,000

500,000

60

300-1800

Mass spectrometer: dd-MS2

Resolution (at m/z 200)

Automatic gain control target (ions)

Maximum injection time (ms)

Loop count

Isolation window (m/z)

TopN

Scan range (m/z)

Normalized collision energy ((N)CE)

15,000

100,000

60

20

1.6

20

200-2000

27

Mass spectrometer: general

Polarity

Intensity threshold

Charge exclusion

Peptide match

Dynamic exclusion (s)

Positive

210,000

Unassigned, 1, 6-8, >8

Preferred

20

Materials

  • Dried (phospho)peptides (see Basic Protocol 7)

  • Resuspension buffer: 5% (v/v) ACN (Sigma-Aldrich, cat. no. 34851) and 0.1% (v/v) TFA (Thermo, cat. no. 85183) (store ≤2 months at room temperature)

  • Microtiter plate (e.g., Thermo, cat. no. AB-0800)

  • Nanoflow UPLC system (e.g., Thermo, EASY-nLC 1200)

  • Packed column (C18 stationary phase packed into EASY-Spray analytical column, 25 cm × 75 μm inner diameter)

  • Mass spectrometer (e.g., Thermo, Q-Exactive HF)

  • MaxQuant application (e.g., Version 2.0.3.0)

  • CAUTION : Combine the ACN and TFA in the resuspension buffer in a fume hood.

1.Resuspend dried (phospho)peptides from Basic Protocol 7 with 5 µl resuspension buffer and transfer them to a microtiter plate. Place microtiter plate into the nanoflow UPLC system for LC detection.

2.Run LC with a packed column using standard settings (see parameters in Table 1).

3.Set parameters for mass spectrometer data acquisition according to Table 1 and run MS analysis.

Note
The data acquisition parameters may need to be modified when alternative LC or MS instruments are used.

4.Load LC-MS/MS output raw file into the MaxQuant application and set parameters for fixed and variable modification quantitation and protein identification as proposed in Table 2.

Note
Default settings in MaxQuant are suggested to be left unchanged. For analysis of protein modifications, such as phosphorylation, variable modifications need to be defined accordingly. In-depth information about MaxQuant settings is available (Tyanova, Temu, & Cox, 2016).

Table 2. MaxQuant Settingsa for Phosphopeptide Identification and Quantification
Parameter type Parameter Setting
Group-specific parameters

Version

Type

Multiplicity

Enzyme

Maximum missed cleavages

Variable modifications

Fixed modifications

Label-free quantification

First search p.p.m.

Main search p.p.m.

2.0.3.0 (or newer)

Standard

1

Trypsin/P

2

Oxidation (M)

Acetylation (protein N-term)

Phosphorylation (STY)

Carbamidomethyl (C)

Fast LFQ

20

4.5

Global parameter

Include contaminants

Minimum peptide length (residues)

Maximum peptide mass (Da)

PSM FDR

Protein FDR

Site decoy fraction

Match between runs

Match time window (min)

Alignment time window (min)

MS/MS tolerance (Fourier transform MS, p.p.m.)

Top MS/MS peaks per Da interval

TRUE

7

4600

0.01

0.01

0.01

TRUE

0.7

20

20

12

  • a

    In-depth information about MaxQuant settings is provided in Tyanova, Temu, & Cox (2016).

5.Begin loading reference sequence into MaxQuant in the tab “Global parameters” > “Sequence” > “Fastafiles.” Click on “Add” button to load the reference sequence from a local folder where the reference sequence was downloaded from the web.

6.Obtain output files and perform statistical analysis.

Note
MaxQuant generates output files that can be used as input for project-specific statistical analysis. The peptide quantification information is found in “evidence.txt” or “Phospho (STY)Sites.txt,” which contain information on phosphopeptides, whereas the output file “ProteinGroups.txt” table contains information on all proteins identified. An explanation of column headers in each of the tables is provided by MaxQuant together with the output tables.

Note
There are many software platforms and R-based or Python-based packages for downstream data processing. For example, popular software platforms include Perseus (Tyanova, Temu, Sinitcyn, et al., 2016; see Current Protocols article: Yu et al., 2020) and cRacker (Zauber & Schulze, 2012). Recently released packages for phosphoproteomic analysis include the R-based packages PhosPiR (Hong et al., 2021) and PhosR (Kim, Kim, Hoffman, et al., 2021; Kim, Kim, & Xiao, 2021) and the Python-based package PaDuA (Ressa, Fitzpatrick, Van Den Toorn, Heck, & Altelaar, 2019).

REAGENTS AND SOLUTIONS

Homogenization buffer

  1. 330 mM sucrose (Roth, cat. no. 4621)
  2. 100 mM potassium chloride (Roth, cat. no. 6781)
  3. 1 mM ethylenediaminetetraacetic acid disodium salt dihydrate (EDTA; Sigma-Aldrich, cat. no. E5134)
  4. 50 mM Tris/MES, pH 7.5 (see recipe for 1 M)
  5. Store ≤1 week at 4°C

For experimental results that will be affected by sucrose in the buffer, e.g., analyzing samples with sucrose treatment, 330 mM mannitol can be applied instead of sucrose.

Loading buffer

  1. 1 M glycolic acid (Sigma-Aldrich, cat. no. 124737)
  2. 80% (v/v) ACN (Sigma-Aldrich, cat. no. 34851)
  3. 5% (v/v) TFA (Thermo, cat. no. 85183)
  4. Store ≤3 months at 4°C

CAUTION: Add the ACN and TFA in a fume hood.

MF extraction buffer

  1. Homogenization buffer (see recipe) with freshly added inhibitors as follows:
  2. 0.5% (v/v) protease inhibitor cocktail (PIC; Sigma-Aldrich, cat. no. P9599; store at –20°C)
  3. 5 mM DTT (Sigma-Aldrich, cat. no. D0632)
  4. 25 mM sodium fluoride (NaF; Roth, cat. no. P756)
  5. 1 mM sodium orthovanadate (Na3VO4; Sigma-Aldrich, cat. no. 450243)
  6. 1 mM benzamidine hydrochloride (Sigma-Aldrich, cat. no. 450243)
  7. 3 μM leupeptin (Sigma-Aldrich, cat. no. L2884)
  8. 1 mM PMSF (Sigma-Aldrich, cat. no. 78830) in EtOH
  9. Prepare fresh immediately before use

Sodium acetate (pH 5.0), 2.5 M

  1. 30 ml ultrapure H2O
  2. 10.254 g sodium acetate (NaOAc; Sigma-Aldrich, cat. no. S2889)
  3. Adjust pH to 5.0 with glacial acetic acid (Roth, cat. no. 3738.4)
  4. Place solution at 4°C overnight
  5. Adjust pH once more to 5.0 with glacial acetic acid (Roth, cat. no. 3738.4)
  6. Ultrapure H2O to 50 ml
  7. Store ≤3 months at 4°C

CAUTION: Adjust the pH in a fume hood.

Total protein extraction buffer

  1. 8 M UTU (see recipe) with freshly added inhibitors as follows:
  2. 5 mM DTT (Sigma-Aldrich, cat. no. D0632)
  3. 1 mM PMSF (Sigma-Aldrich, cat. no. 78830) in EtOH
  4. 2% (w/v) PVPP (Sigma-Aldrich, cat. no. 77627)
  5. Addition for phosphoproteome analysis: 0.5% (v/v) protease inhibitor cocktail (PIC; Sigma-Aldrich, cat. no. P9599; store at –20°C)
  6. Prepare fresh immediately before use

Tris/HCl (pH 8.0), 10 mM

  1. 80 ml ultrapure H2O
  2. 0.121 g Tris base (Sigma-Aldrich, cat. no. T1503)
  3. Adjust pH to 8.0 with 1 M HCl (Sigma-Aldrich, cat. no. H1758)
  4. Ultrapure H2O to 100 ml
  5. Store ≤1 year at room temperature or 4°C

Tris/MES (pH 7.5), 1 M

  1. 80 ml ultrapure H2O
  2. 12.114 g Tris base (Sigma-Aldrich, cat. no. T1503)
  3. Adjust pH to 7.5 with MES monohydrate (Roth, cat. no. 6066)
  4. Ultrapure H2O to 100 ml
  5. Store ≤1 year at room temperature or 4°C

UTU, 8 M

  1. Use 10 mM Tris/HCl, pH 8.0 (see recipe), as solvent to dissolve the following reagents:
  2. 6 M urea (Sigma-Aldrich, cat. no. U5378)
  3. 2 M thiourea (Sigma-Aldrich, cat. no. T8656)
  4. Prepare fresh immediately before use

COMMENTARY

Background Information

Protein extraction

There are three major strategies of total protein extraction for proteome or phosphoproteome analysis. The first one involves applying organic solvents to isolate proteins, for example, TCA/acetone and phenol (Bonhomme et al., 2012; Chao et al., 2016; Ding et al., 2016; Wang, Tai, & Chen, 2008; Wu et al., 2015; Wu, Xiong, Wang, Scali, & Cresti, 2014). The second method involves solubilizing proteins with detergents. This approach is frequently followed by 2D gel–based analysis. The third method uses strong chaotropic reagents to dissolve proteins, such as urea, thiourea, and guanidine chloride. For example, protein extraction with 6 M guanidine chloride was previously used in phosphoproteome analysis in tomato (Hsu et al., 2018), and protein extraction with 8 M urea or 8 M UTU for proteomic studies was applied in Arabidopsis and maize (He et al., 2021; Li et al., 2015; Schulze et al., 2021; Thakur et al., 2011). Strong chaotropic reagents perform better than organic solvents (Luís et al., 2016), and because 8 M UTU is widely used to resuspend purified protein and is compatible with tryptic digestion, we recommend 8 M UTU as a basic lysis buffer (Basic Protocol 1). By already using the urea environment for protein extraction, protein digestion can be performed in the same buffer, thereby reducing sample handling steps and losses, especially when working with very low amounts of tissue (Li et al., 2015).

Protein clean-up

Total protein extracts, especially from leaf samples, contain large amounts of chlorophyll and secondary metabolites such as phenolics, lipids, organic acids, carbohydrates, terpenes, and pigments, which decrease the accuracy of protein concentration determination and reduce the efficiency of tryptic digestion and phosphopeptide enrichment (Niu, Yuan, Gong, Wu, & Wang, 2018; Wu, Gong, & Wang, 2014). Thus, removal of these substances is essential for good protein yield and for high-quality protein to be subjected to mass spectrometric analysis. Including the protein clean-up steps (Basic Protocol 2 and Alternate Protocol 1) results in an 18% increase in quantified proteins compared to when these steps are omitted. A previous study reports a similar result for tomato tissue (Hsu et al., 2018). Currently, the major strategies for protein clean-up include protein precipitation and spin-filter enrichment. The most widely used precipitation solutions are salt (e.g., ammonium sulfate) or organic solvents (e.g., acetone, TCA/acetone, methanol-chloroform, or EtOH). Filter-aided sample preparation (FASP) can be used for removal of detergent from protein solutions and for buffer exchange (Wiśniewski, Zougman, Nagaraj, & Mann, 2009). Because we present a detergent-free protein extraction based on chaotropic reagents and because FASP can cause loss of protein with sizes <30 kDa, we recommend the PC method (Basic Protocol 2) as a suitable clean-up protocol. EtOH is one the most easily accessible reagents with good efficiency for protein precipitation (Yoshikawa, Hirano, Arakawa, & Shiraki, 2012a, 2012b). Besides, SP3 technology (Alternate Protocol 1) is available as a novel method to clean up the protein/peptide sample independent of solubilization agents and quantity of input material. It provides nonselective protein binding and allows on-bead trypsin digestion (Hughes et al., 2019). According to our results, both the PC and SP3 methods effectively remove interfering substances and provide good protein yield for quantification by MS.

Protein concentration determination

Having the same protein content is fundamental for comparing different LC-MS/MS runs with label-free quantitation. Therefore, protein concentration determination is necessary and important in this workflow. The commonly used methods include the Bradford assay (Bradford, 1976), Lowry assay (see Current Protocols article: Olson & Markwell, 2007), and BCA assay (Smith et al., 1985). Different methods have specific advantages and limitations, and compatibility with the applied extraction buffers is more crucial than accuracy. We recommend the Bradford assay (Basic Protocol 4), which is compatible with high concentrations of urea. In cases when protein extracts contain detergents, the Lowry or BCA assay can be chosen instead of the Bradford assay (see Current Protocols article: Olson & Markwell, 2007).

Protein digestion with trypsin

Trypsin is widely used and has become the gold standard for protein digestion (Alternate Protocol 1 and Basic Protocol 5), which is indispensable for bottom-up proteomics. Trypsin is particularly suitable due to the frequency of arginines and lysines in typical proteomes, leading to the creation of positively charged amino acids at the C-terminus of every peptide due to its cleavage preference for C-terminal arginines and lysines (Laskay, Lobas, Srzentić, Gorshkov, & Tsybin, 2013). However, trypsin digestion has some limitations, for example, trypsin activity is decreased when acidic residues (e.g., phosphorylated amino acids) are present on either side of a susceptible bond, resulting in missed cleavages. Furthermore, trypsin has lower activity in higher-salt environments. Pre-digestion of protein with addition of the enzyme Lys-C decreases missed cleavages and thus increases the number of identified peptides, and it improves analytical reproducibility (Glatter et al., 2012; Saveliev et al., 2013).

Phosphopeptide enrichment

Ion suppression by highly abundant non-modified peptides will overwhelm the signals of lower-abundance phosphopeptides, resulting in poor detection of the phosphopeptides (Silva-Sanchez, Li, Chen, & Chen, 2015). Using our protocol workflow, we show that phosphopeptide enrichment in maize root results in more than three times higher phosphopeptide quantification compared to preparations in which this step was eliminated. The most common phosphopeptide enrichment methods are immobilized metal affinity chromatography (IMAC), metal oxide affinity chromatography (MOAC) and TiO2-based enrichment (Beltran & Cutillas, 2012; Gates, Tomer, & Deterding, 2010). These methods all take advantage of the negatively charged phosphate groups on the phosphorylated peptides interacting with positively charged metal ions and compounds. For example, IMAC, which consists of a metal ion such as Fe3+ chelated with nitriloacetic acid (NTA) and immobilized onto resin, has a high efficiency of phosphopeptide selection. These materials are commercially available and immobilized on diverse supporting matrices for different ways of handling, such as in an agarose resin spin-down column from Thermo Scientific Pierce, the TiO2 resin column from Titansphere®, or in the form of magnetic beads from Cytiva. These different phosphopeptide enrichment approaches result in different phosphopeptides identified (Arribas Diez et al., 2021; Gates et al., 2010; Liang et al., 2007), suggesting that different matrices enrich slightly different types of phosphopeptides. New supporting matrices are continuously being developed (Kupcik et al., 2019). The TiO2-based method for phosphopeptide enrichment that we present in Basic Protocol 6 is efficient, simple, and fast and requires smaller amounts of starting proteins compared to the IMAC or MOAC method (Wu et al., 2017). The development of robot systems provides the potential of high-throughput and labor-saving sample processing, for example, with the Agilent Bravo Automated Liquid Handling Platform we use here (Russell & Murphy, 2016), which offers phosphopeptide enrichment via Fe(III)–NTA cartridges (Alternate Protocol 2). Both enrichment strategies result in abundant phosphopeptide detection.

Peptide desalting

The peptides or phosphopeptides obtained after digestion are in a salt-containing buffer, and this salt concentration may not be compatible with MS detection. Salts can interfere with the action of reversed-phase materials, decreasing the column resolution in LC-MS/MS. Particles can easily become irreversibly locked in analytical columns, resulting in complete sample loss. Furthermore, salt ions result in ion suppression of peptide ions, which will then not be detected. The Empore Disk C18 is a material for reversibly binding peptides; therefore, fixing the C18 membrane into a pipet tip allows for desalination and concentration of peptides (Basic Protocol 7) (Rappsilber et al., 2003). Commercial C18 tips or cartridges for desalting also are available, in the form of tips or filter plates, and they can be used as alternatives to Basic Protocol 7.

LC-MS/MS quantification and data processing

LC-MS/MS (Basic Protocol 8) nowadays is a commonly used analytical technique for the analysis of biomolecules, such as peptides and phosphopeptides. Stable-isotope labeling and label-free quantitation are frequently used strategies for comparative proteomics. The stable-isotope approaches offer greater quantitative precision, whereas label-free quantitation performs better when comparing large numbers of samples or conditions at rather low cost (Schulze & Usadel, 2010). Label-free quantification analysis for (phospho)proteomics can be performed by either data-dependent acquisition (DDA) or data-independent acquisition (DIA) (Bekker-Jensen et al., 2020; Kelstrup et al., 2018; Li, Zan, Zhu, Lu, & Krall, 2021; Lou et al., 2021). Various types of software for raw data processing are available (Almeida et al., 2020; Li et al., 2021; Pang et al., 2020). Here, we propose label-free quantitation based on the instrument Q-Exactive HF (Thermo Fisher) and a data analysis workflow in MaxQuant (Version 2.0.3.0).

Critical Parameters

LC-MS/MS platform

Quantification coverage and reproducibility are affected by the capability of the LC-MS/MS platform (Basic Protocol 8) and the quality of sample preparation (Bittremieux et al., 2018; Tuli & Ressom, 2009). Generally, the higher the scan rate and resolution of the LC-MS/MS platform, the better the quantification of peptides.

Tissue disruption

In terms of experimental steps, it is important to thoroughly disrupt tissues (Basic Protocol 1) because plants have rigid cell walls formed by cellulose and lignification, making mechanical disruption difficult. Previous studies have shown that protein extraction yield greatly depends on the fineness of disruption: a finer ground powder will yield a higher amount of total protein (Wang et al., 2008). However, for MF protein extraction (Basic Protocol 3), a gentler cell disruption method using a tissue homogenizer is preferred, which preserves larger membrane fragments in a membrane-friendly buffer environment.

Sample handling steps before mass spectrometry

To prevent proteins from undergoing degradation and modification during sample preparation (Basic Protocol 1), the major critical points include collecting samples fresh, keeping samples frozen before adding extraction buffer, adding appropriate protease and phosphatase inhibitors, and completing all steps as quickly and continuously as possible, ideally in a cooled environment or on ice. Some chemical side reactions might occur during sample preparation, which may affect spectra matching efficiency: urea can cause carbamylation on protein during prolonged incubation time and heating, and overalkylation by IAA can cause N-terminal carbamidomethyl modification at near-neutral pH and prolong incubation time (Bittremieux et al., 2018; Luebker & Koepsell, 2016; Sun, Zhou, Yang, & Zhang, 2014). Tryptic peptides can be lost with prolonged digestion time (Alternate Protocol 1 and Basic Protocol 5), leading to lower coverage of quantitative peptides (Hildonen, Halvorsen, & Reubsaet, 2014). The pH environment is also critical in many steps. For example, UTU at pH 8 is optimal for protein solubility and tryptic digestion. Additionally, binding of peptides to TiO2 and reversed-phase C18 material (Basic Protocols 6 and 7) depends on correct acidification. There is a good linear relationship between quantification coverage and the input amount of phosphopeptides in LC-MS/MS runs. A previous dose-dependent experiment in Arabidopsis demonstrated that more protein input yields higher quantification coverage (Wu et al., 2017). The 200-µg protein aliquot that we propose to be used in Basic Protocol 6 represents a generous protein amount expected to yield over 1000 phosphopeptide identifications. However, users can adjust the input amount of protein according to the accessibility of protein extracts and quantification ability of LC-MS/MS (Basic Protocol 8).

Troubleshooting

Please see Table 3 for a troubleshooting guide.

Table 3. Troubleshooting Guide for Label-Free-Quantitation-Based Proteomic and Phosphoproteomic Studies in Cereals
Potential problem Possible cause Solution
Difficult or incomplete tissue disruption Strong cell walls

Increase disruption time

Add grinding beads or quartz sand

Cut tissue into small pieces prior to homogenization

Low yield of protein extraction Low amount of tissue, inefficient extraction More tissue input, lower extraction buffer volume, finer grinding
Protein clean-up failed Redo protein clean-up
Low binding efficiency of TiO2 to phosphopeptides Decreased affinity of TiO2 toward phosphopeptides Baking TiO2 at 200°C for 5 hr prior to using it
Low binding efficiency of Fe (III)-NTA cartridges to phosphopeptides Wrong buffer used Double-check layout
Peptide clean-up failed Use new reversed-phase cartridges and redo peptide clean-up
C18-tip block Supernatant contains invisible and insoluble particles that block C18-tip Increase centrifugation time and speed before peptide clean-up

Statistical Analysis

Statistical analysis will depend on the research question and usually involves respective software packages, as recommended in Basic Protocol 8, step 6. Here, we provide a few simple measures that may be used to describe the dataset and that can be used for quality control.

Sum intensity of quantitative phosphopeptides for each replicate

The summed intensity values in each injection (i.e., each sample) indicate the amount of phosphopeptide obtained from each sample. A view of these phosphopeptide ion intensities typically shows variation across samples from different tissues, clean-up methods, and enrichment methods and also among technical replicates (Fig. 3). A significant difference in these values, as, for example, found between samples from maize root and wheat leaf, indicates different efficiencies of sample preparation steps. Such views are therefore useful when optimizing a protocol or when comparing different methods.

Basic quantification features for each single run. (A) Log<sub>2</sub>-transformed total intensity of quantitative phosphopeptides in single runs. (B) Count number of quantitative phosphopeptides in single runs. (C) Pearson's correlation coefficient values for two technical replicates in all pairs. *: p value < 0.05, ***: p value ≤ 0.001, result of one-way ANOVA using the “anova_lm” function from “statsmodels” v 0.13.0.
Basic quantification features for each single run. (A) Log<sub>2</sub>-transformed total intensity of quantitative phosphopeptides in single runs. (B) Count number of quantitative phosphopeptides in single runs. (C) Pearson's correlation coefficient values for two technical replicates in all pairs. *: p value < 0.05, ***: p value ≤ 0.001, result of one-way ANOVA using the “anova_lm” function from “statsmodels” v 0.13.0.

Considering that different methods of protein clean-up and phosphopeptide enrichment have different efficiencies in protein or phosphopeptide recovery, we can now compare combinations of the above basic protocols and alternate protocols regarding the total amount of phosphopeptides identified (Fig. 3). Regarding our basic protocols and alternate protocols described above, neither the clean-up procedure nor the phosphopeptide enrichment method affects the total amount of phosphopeptides obtained from the preparation (Fig. 3A). However, the SP3 method (Alternate Protocol 1) potentially results in higher protein recovery efficiency compared with the recovery efficiency for the PC method (Basic Protocol 2), which is ∼60%, as calculated from protein concentration determination.

Count number of quantitative phosphopeptides per replicate

The count number of quantitative phosphopeptides indicates the quantification capability of LC-MS/MS and the quantification yield of phosphopeptides in each injection (Basic Protocol 8). For example, we observe that the quantification yield in each run is largely determined by the type of tissue because significantly higher yields are achieved in maize root compared to the other tissues. This may relate not only to different protein compositions in different tissues but also to higher content of fibers or interfering substances in shoots (Fig. 3B).

Reproducibility of technical replicates

The reproducibility of technical replicates is analyzed by pairwise correlation between phosphopeptide intensities of different replicates. The example results show that the median value of correlation coefficients in each tissue group, including all values from different methods of protein clean-up and phosphopeptide enrichment, generally range from 0.8 to 0.9 (Fig. 3C). This is indicative of a high reproducibility of technical replicates.

Protein clean-up methods and phosphopeptide enrichment methods yield different results for quantification consistency among technical replicates for different tissues. In maize root, the TiO2-based method (Basic Protocol 6) seems to perform better than the Fe(III)-NTA-based method (Alternate Protocol 2). The averaged correlation coefficient of technical replicates from the TiO2 enrichment method was 0.87, and the averaged correlation coefficient among technical replicates from the Fe(III)-NTA-based enrichment method was 0.78. In protein preparations of maize shoots, the combination of SP3/TiO2 shows the best reproducibility, with a correlation value at 0.92.

Understanding Results

The protocols described here are suitable for proteins extracted from maize shoot, maize root, wheat leaf, and likely tissues from other cereals, such as rice. We present two alternatives for clean-up: either the PC method (Basic Protocol 2) or the SP3 method (Alternate Protocol 1). In parallel, a protocol is presented for MF proteins to allow for membrane-focused studies (Basic Protocol 3). In general, we propose aliquots of 200 µg protein for protein digestion (Basic Protocol 5) and phosphopeptide enrichment. For phosphopeptide enrichment, we present two alternative protocols: either with TiO2 by manual work (Basic Protocol 6) or with Fe(III)-NTA cartridges on a robotic platform (Alternate Protocol 2). For each combination of protein clean-up method and phosphopeptide enrichment method, 3 to 11 technical replicates should be used.

Among all the phosphorylated peptides in each tissue, the phosphorylated amino acids mainly include serine (S), threonine (T), and tyrosine (Y). The distribution of phosphorylated amino acids in samples is expected to consist of 82.9% to 85.6% serines, 13.8% to 16.2% threonines, and a very small percentage of tyrosines (Fig. 4A) in accordance with many previously published studies. The number of phosphorylated sites within an identified phosphopeptide ranges from 1 to 4. Most of them contain single or double phosphorylated sites. The double phosphorylated site count is slightly higher in quantitative phosphopeptides from MF proteins than from the total protein (Fig. 4B).

Typical results of phosphopeptide analysis. (A) Distribution of phosphosites to the phosphorylated amino acids. (B) Distribution of phosphopeptides to the number of phosphorylations per peptide. (C) Distribution of the averaged log<sub>2</sub>-FOT of each quantitative phosphopeptide identified in MFs from maize shoots. (D) Distribution of the averaged log<sub>2</sub>-FOT of each quantitative phosphopeptide identified in maize root. (E) Relationship of the number of phosphopeptides with replica sample size for MFs from maize shoot. (F) Relationship of the number of phosphopeptides with replica sample size for maize root. (G, H, I) Venn diagram of phosphopeptide quantification coverage for different combinations of protein clean-up method and phosphopeptide enrichment method in maize shoot (G), maize root (H), and wheat leaf (I).
Typical results of phosphopeptide analysis. (A) Distribution of phosphosites to the phosphorylated amino acids. (B) Distribution of phosphopeptides to the number of phosphorylations per peptide. (C) Distribution of the averaged log<sub>2</sub>-FOT of each quantitative phosphopeptide identified in MFs from maize shoots. (D) Distribution of the averaged log<sub>2</sub>-FOT of each quantitative phosphopeptide identified in maize root. (E) Relationship of the number of phosphopeptides with replica sample size for MFs from maize shoot. (F) Relationship of the number of phosphopeptides with replica sample size for maize root. (G, H, I) Venn diagram of phosphopeptide quantification coverage for different combinations of protein clean-up method and phosphopeptide enrichment method in maize shoot (G), maize root (H), and wheat leaf (I).

To analyze the quantification values of phosphopeptides between different runs, the original quantitative intensity values of each phosphopeptide should be normalized. We propose a rough and easy normalization on total protein intensity sum called “fraction of total” (FOT). It is calculated by dividing each phosphopeptide intensity value by the total intensity sum of the respective sample. These ratios are then transformed by calculating the logarithm to the basis 2 (log2) to obtain values termed “log2-FOT.” The lower the value of log2-FOT, the lower the abundance of the respective phosphorylated peptides is. Thus, the log2-FOT values can well be used to compare phosphopeptide abundances between different samples.

Typically, in phosphoproteomic datasets, not all phosphopeptides can be quantified in all replicates. The phosphopeptides with at least one quantification among replicates are available only as identity and simple quantitative information, whereas in other cases, phosphopeptides with at least three quantifications are available for full statistical data analysis, pairwise t-testing, and ANOVA, which are frequently used. Therefore, we term phosphopeptides with at least one quantification among technical replicates as “quantitative coverage” and phosphopeptides with at least three quantifications as “statistics-available coverage.”

To obtain an impression of the quantification coverage in a phosphoproteomics experiment, the averaged abundance of all quantitative phosphopeptides across all replicates is calculated and is visualized as dots in a box plot, as exemplified for maize MF and maize root total protein (Fig. 4C and 4D). In principle, lower-abundance proteins/phosphoproteins have a lower probability of being among the statistics-available quantifications. Thus, the higher the abundance of a phosphopeptide, the better the reproducibility of its quantification is. For example, phosphopeptides with log2-FOT greater than –12 are usually found among the statistics-available coverage, whereas phosphopeptides with log2-FOT lower than –14 are usually difficult to quantify as statistics-available. This indicates that when focusing on certain low-abundance phosphopeptides, further optimization of sample preparation, for example by additional enrichment of the target protein or target organelle, is necessary.

Quantification coverage refers to how many phosphopeptides can be quantified in a set of multiple replicates. It can be used to estimate the extent of phosphopeptides available for downstream statistical analysis. Quantitative coverage results in 1751 phosphopeptides using the Fe(III)-based method (Alternate Protocol 2) with 8 technical replicates and in 1436 phosphopeptides using the TiO2-based method (Basic Protocol 6) with 10 technical replicates, for example from maize MF proteins. Statistics-available coverage usually is much smaller; in our example, it covers 542 and 675 phosphopeptides using the Fe(III)-based method and TiO2-based method, respectively (Fig. 4C). Based on such considerations, we can now estimate that with 4 to 6 technical replicates from total protein extracts in all tissues, the quantitative coverage will range from 1110 to 2244 phosphopeptides, and the statistics-available coverage will range from 301 to 1227 phosphopeptides. The highest quantitative coverage is likely found in preparations from root tissue combining the SP3 and Fe(III) methods (Alternate Protocols 1 and 2). This high yield of quantifiable phosphopeptides from roots is likely attributable to better protein extraction efficiency (less fibers) and due to lower content of interfering secondary metabolites (Fig. 4D).

Based on the above considerations, we can now investigate how quantitative and statistics-available coverage increases with technical replicates, as exemplified for phosphopeptides from MF protein (Basic Protocol 3; Fig. 4E) and from root total protein (Basic Protocol 1; Fig. 4F). In general, the quantification coverage increases with sample size (i.e., number of replicates), and the saturation point appears at around eight replicates (Fig. 4E and 4F). These relationships can now be used in decisions on the numbers of necessary technical replicates. Here, we propose up to six replicates with PC/TiO2-based (Basic Protocols 2 and 6) methods to allow statistics-available coverage of around 375 phosphopeptides from MF protein and 1250 phosphopeptides from maize root total protein. In turn, aiming for about 1000 phosphopeptides for statistics-available coverage would require more than six replicates.

In principle, different protein clean-up and phosphopeptide enrichment methods obtain slightly different sets of phosphopeptides, as they work by different mechanisms and sensitivities, leading to slightly selective enrichments. Despite the slight bias of each enrichment method, the results show that most of the phosphopeptides can be quantified irrespective of the enrichment method used (Fig. 4G, 4H, and 4I). Existing datasets can work as a reference to indicate which phosphopeptides may prefer which methods.

Time Considerations

It usually takes ∼1 week to complete all the experimental steps in Basic Protocols 1 to 7, depending on sample numbers. Loading of samples for the LC-MS/MS analysis (Basic Protocol 8) can occur independently, up to several weeks later. In principle, to prevent protein degradation and sample handling variance, it is better to carry out the steps as continuously as possible and to avoid repeated freeze-thawing of samples in a liquid environment. Interruptions at steps that obtain dry samples (e.g., after Basic Protocol 2 or 7) are better than interruptions at steps resulting in liquid samples (e.g., after Basic Protocol 5).

A typical work plan may look like this: On day 1, prepare all required reagents and solutions, except those that should be prepared fresh. For total protein extraction (Basic Protocol 1), spend day 2 or more grinding all samples into fine powder and storing aliquots (50 to 200 mg) at –80°C. On day 3, extract proteins for all samples and perform protein clean-up (Basic Protocol 2 or Alternate Protocol 1). During Basic Protocol 2, one can pause at steps 4 to 6 by storing the samples at –20°C and continue to protein digestion with Basic Protocol 5 the next day (i.e., day 3). If using Alternate Protocol 1, it is recommended to proceed to step 22. Basic Protocol 4 normally takes 30 min to 2 hr, depending on the sample size. If a pause is needed, one can interrupt only at step 6; the samples can be stored at –20°C during the break. For MF protein extraction in Basic Protocol 3, we recommend performing steps 1 to 6 in batches of six samples per day, and these can be stored at –20°C after step 7 until all batches of six samples are at this step.

After protein digestion overnight (Basic Protocol 5), we recommend to directly proceed to phosphopeptide enrichment in Basic Protocol 6 or Alternate Protocol 2 (2 to 3 hr) and to continue to peptide desalting with Basic Protocol 7 (1 to 2 hr) until obtaining dried peptides at step 19. Given that Basic Protocol 6 has many pipetting steps, the number of samples one can process per day depends on the operator's capacity and usually ranges between 10 and 40. Therefore, one should consider how many samples can be processed per day in this step to determine the number of samples to digest. In contrast, using the robotic system, Alternate Protocol 2 can process up to 96 samples per batch. On the robotic platform, peptide clean-up and phosphopeptide enrichment procedures take 4 to 5 hr altogether. The LC-MS/MS run (Basic Protocol 8) takes around 1.5 to 3 hr per sample (depending on the LC-MS/MS setup in use). In Basic Protocol 8, we recommend running all samples from an experiment as a continuous batch using the same column setup.

Acknowledgments

The authors thank M. Sc. Zeeshan for assistance with sample preparation. This work was funded by the Deutsche Forschungsgemeinschaft (DFG), 328017493/GRK 2366 (International Research Training Group “Adaptation of maize-based food-feed-energy systems to limited phosphate resources”).

Open access funding enabled and organized by Projekt DEAL.

Author Contributions

Mingjie He : Data curation, Formal analysis, Investigation, Methodology, Writing — original draft, Writing — review & editing; Jiahui Wang : Data curation, Methodology; Sandra Herold : Methodology, Software; Lin Xi : Conceptualization, Data curation, Investigation, Methodology, Writing — original draft, Writing — review & editing; Waltraud X. Schulze : Conceptualization, Writing — review & editing.

Conflict of Interest

The authors declare no conflict of interest.

Open Research

Data Availability Statement

The data, tools, and materials (or their source) that support the protocols are available from the corresponding author upon reasonable request.

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