Mapping protein states and interactions across the tree of life with co-fractionation mass spectrometry

Michael A. Skinnider; Mopelola O. Akinlaja; Leonard J. Foster

doi:10.1038/s41467-023-44139-5

Mapping protein states and interactions across the tree of life with co-fractionation mass spectrometry

Michael A. Skinnider
, Mopelola O. Akinlaja
, Leonard J. Foster

Lewis-Sigler Institute for Integrative Genomics

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

We present CFdb, a harmonized resource of interaction proteomics data from 411 co-fractionation mass spectrometry (CF-MS) datasets spanning 21,703 fractions. Meta-analysis of this resource charts protein abundance, phosphorylation, and interactions throughout the tree of life, including a reference map of the human interactome. We show how large-scale CF-MS data can enhance analyses of individual CF-MS datasets, and exemplify this strategy by mapping the honey bee interactome.

Original language	English (US)
Article number	8365
Journal	Nature communications
Volume	14
Issue number	1
DOIs	https://doi.org/10.1038/s41467-023-44139-5
State	Published - Dec 2023

All Science Journal Classification (ASJC) codes

General Chemistry
General Biochemistry, Genetics and Molecular Biology
General Physics and Astronomy

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Cite this

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abstract = "We present CFdb, a harmonized resource of interaction proteomics data from 411 co-fractionation mass spectrometry (CF-MS) datasets spanning 21,703 fractions. Meta-analysis of this resource charts protein abundance, phosphorylation, and interactions throughout the tree of life, including a reference map of the human interactome. We show how large-scale CF-MS data can enhance analyses of individual CF-MS datasets, and exemplify this strategy by mapping the honey bee interactome.",

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AB - We present CFdb, a harmonized resource of interaction proteomics data from 411 co-fractionation mass spectrometry (CF-MS) datasets spanning 21,703 fractions. Meta-analysis of this resource charts protein abundance, phosphorylation, and interactions throughout the tree of life, including a reference map of the human interactome. We show how large-scale CF-MS data can enhance analyses of individual CF-MS datasets, and exemplify this strategy by mapping the honey bee interactome.

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Mapping protein states and interactions across the tree of life with co-fractionation mass spectrometry

Abstract

All Science Journal Classification (ASJC) codes

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