Dataset Information

Dynamic rewiring of the human interactome by interferon signalling

ABSTRACT: The type I interferon (IFN) response protects cells against viral pathogens by inducing the transcription of hundreds of IFN-stimulated genes (ISGs). Transcriptomic and biochemical approaches have established comprehensive catalogues of ISGs across species and cell types, but their antiviral mechanisms remain incompletely characterized. Here, we apply a combination of quantitative proteomic approaches to map IFN-induced rearrangements in the human protein-protein interaction network. Specifically, we analyzed the IFN-induced changes to the HeLa cell proteome with shotgun mass spectrometry. As well, we assessed the IFN-induced interactome with protein correlation profiling coupled to size exclusion chromatography and SILAC. Finally, we utilized label-free quantitative mass spectrometry for affinity purification mass spectrometry of candidate proteins and to analyze the ribosomal protein composition.

INSTRUMENT(S): Bruker Daltonics instrument model, Q Exactive

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Jenny Moon

LAB HEAD: Leonard J. Foster

PROVIDER: PXD013809 | Pride | 2020-05-15

REPOSITORIES: Pride

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			Action	DRS
	CK-181120-F1_F1_01_11730.d.rar	Other
	CK-181120-F2_F2_01_11731.d.rar	Other
	CK-181120-F3_F3_01_11732.d.rar	Other
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	CK-181120-F5_F5_01_11734.d.rar	Other

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Dynamic rewiring of the human interactome by interferon signaling.

Kerr Craig H CH Skinnider Michael A MA Andrews Daniel D T DDT Madero Angel M AM Chan Queenie W T QWT Stacey R Greg RG Stoynov Nikolay N Jan Eric E Foster Leonard J LJ

Genome biology 20200615 1

<h4>Background</h4>The type I interferon (IFN) response is an ancient pathway that protects cells against viral pathogens by inducing the transcription of hundreds of IFN-stimulated genes. Comprehensive catalogs of IFN-stimulated genes have been established across species and cell types by transcriptomic and biochemical approaches, but their antiviral mechanisms remain incompletely characterized. Here, we apply a combination of quantitative proteomic approaches to describe the effects of IFN sig ...[more]

PMID: 32539747

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