Dataset Information

An integrated global analysis of compartmentalized HRAS signaling - Ras IP

ABSTRACT: Modern omics technologies allow us obtaining global information on different types of biological networks. However, integrating these different types of analyzes into a coherent framework for a comprehensive biological interpretation remains challenging. Here, we present a conceptual framework that integrates protein interaction, phosphoproteomics and transcriptomics data. Applying this method to analyze HRAS signaling from different subcellular compartments shows that spatially-defined networks contribute specific functions to HRAS signaling. Changes in HRAS protein interactions at different sites lead to different kinase activation patterns that differentially regulate gene transcription. HRAS mediated signaling is the strongest from the plasma membrane, but it regulates the largest number of genes from the endoplasmic reticulum. The integrated networks provide a topologically and functionally resolved view of HRAS signaling. They reveal new HRAS functions including the control of cell migration from the endoplasmic reticulum and p53 dependent cell survival when signaling from the Golgi apparatus.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell, Hela Cell

DISEASE(S): Cervix Carcinoma

SUBMITTER: David Matallanas

LAB HEAD: David Gomez

PROVIDER: PXD012505 | Pride | 2019-03-08

REPOSITORIES: Pride

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Dataset's files

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			Action	DRS
	030314_CR_01_ANA_CD8_1.raw	Raw
	030314_CR_01_ANA_CD8_1_140309085922.raw	Raw
	030314_CR_01_ANA_CD8_2.raw	Raw
	030314_CR_01_ANA_CD8_2_140309100655.raw	Raw
	030314_CR_01_ANA_CD8_3.raw	Raw

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Publications

An Integrated Global Analysis of Compartmentalized HRAS Signaling.

Santra Tapesh T Herrero Ana A Rodriguez Javier J von Kriegsheim Alex A Iglesias-Martinez Luis F LF Schwarzl Thomas T Higgins Des D Aye Thin-Thin TT Heck Albert J R AJR Calvo Fernando F Agudo-Ibáñez Lorena L Crespo Piero P Matallanas David D Kolch Walter W

Cell reports 20190301 11

Modern omics technologies allow us to obtain global information on different types of biological networks. However, integrating these different types of analyses into a coherent framework for a comprehensive biological interpretation remains challenging. Here, we present a conceptual framework that integrates protein interaction, phosphoproteomics, and transcriptomics data. Applying this method to analyze HRAS signaling from different subcellular compartments shows that spatially defined network ...[more]

PMID: 30865897

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