Transkingdom Network Analysis (TkNA): a systems framework for inferring causal factors underlying host–microbiota and other multi-omic interactions

Nolan K. Newman, Matthew S. Macovsky, Richard R. Rodrigues, Amanda M. Bruce, Jacob W. Pederson, Jyothi Padiadpu, Jigui Shan, Joshua Williams, Sankalp S. Patil, Amiran K. Dzutsev, Natalia Shulzhenko, Giorgio Trinchieri, Kevin Brown, Andrey Morgun

Published: 2024-03-12 DOI: 10.1038/s41596-024-00960-w

Transkingdom Network Analysis

TkNA

causal inference

multi-omics interactions

host-microbiota interactions

AI 解读

Extraction of nuclei from archived postmortem tissues for single-nucleus sequencing applications

High-quality and robust protein quantification in large clinical/pharmaceutical cohorts with IonStar proteomics investigation

Longitudinal interrogation of sympathetic neural circuits and hemodynamics in preclinical models

Experimental modulation of physiological force application on leg joint neurons in intactDrosophila melanogaster

Combining surface-accessible Ag and Au colloidal nanomaterials with SERS for in situ analysis of molecule–metal interactions in complex solution environments

Generation of mouse–human chimeric embryos

Labeling and tracking of immune cells in ex vivo human skin

Large-scale preparation of fluorescence multiplex host cell reactivation (FM-HCR) reporters

Mutate-and-chemical-shift-fingerprint (MCSF) to characterize excited states in RNA using NMR spectroscopy

Comprehensive multi-attribute method workflow for biotherapeutic characterization and current good manufacturing practices testing

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References

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Transkingdom Network Analysis (TkNA): a systems framework for inferring causal factors underlying host–microbiota and other multi-omic interactions

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