Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods

Tallulah S. Andrews, Zoe A. Clarke, Jawairia Atif, Delaram Pouyabahar, Brendan T. Innes, Sonya A. MacParland, Gary D. Bader

Published: 2021-05-23 DOI: 10.1038/s41596-021-00534-0

Extended

Extended Data Fig. 1 Heat map and UMAP visualizations.

An extension of Fig. 6 incorporating the visualization of marker genes for identified cell types as a heat map ( a ) and a Mllt11 expression overlaid on a UMAP plot ( b ). Mllt11 is expressed at various levels across clusters, suggesting a cell-type gradient across NRP, ImmN, NendC and mNEUR. Both plots are generated from scRNA-seq data from young and old mouse brains 101 .

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Supplementary Table 1.

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Efficient and strand-specific profiling of replicating chromatin with enrichment and sequencing of protein-associated nascent DNA in mammalian cells

The eINTACT method for studying nuclear changes in host plant cells targeted by bacterial effectors in native infection contexts

Rapid reaction optimization by robust and economical quantitative benchtop19F NMR spectroscopy

Profiling native pulmonary basement membrane stiffness using atomic force microscopy

Photoimmunotechnology as a powerful biological tool for molecular-based elimination of target cells and microbes, including bacteria, fungi and viruses

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Preparation, validation and use of a vasoactive tryptophan-derived hydroperoxide and relevant control compounds

Neuronal subtype-specific growth cone and soma purification from mammalian CNS via fractionation and fluorescent sorting for subcellular analyses and spatial mapping of local transcriptomes and proteomes

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Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods

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