Proteomics,Multiomics

Dataset Information

4

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.

OTHER RELATED OMICS DATASETS IN: E-MTAB-7672

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo sapiens  

TISSUE(S): Hela Cell

DISEASE(S): Cervix Carcinoma

SUBMITTER: David Matallanas  

LAB HEAD: David Gomez

PROVIDER: PXD012505 | Pride | 2019-03-08

REPOSITORIES: Pride

Dataset's files

Source:
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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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]

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