Proteomics

Dataset Information

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Integrated Phosphoproteomics and Transcriptional Classifiers Reveal Hidden RAS Signaling Dynamics in Multiple Myeloma


ABSTRACT: A major driver of multiple myeloma is thought to be aberrant signaling, yet no kinase inhibitors have proven successful in the clinic. Here, we employ an integrated, systems approach combining phosphoproteomic and transcriptome analysis to dissect cellular signaling in multiple myeloma to inform precision medicine strategies. Collectively, these predictive models identify vulnerable signaling signatures and highlight surprising differences in functional signaling patterns between NRAS and KRAS mutants invisible to the genomic landscape. Transcriptional analysis suggests that aberrant MAPK pathway activation is only present in a fraction of RAS-mutated vs. WT RAS patients. These high-MAPK patients, enriched for NRAS Q61 mutations, have inferior outcomes whereas RAS mutations overall carry no survival impact. We further develop an interactive software tool to relate pharmacologic and genetic kinase dependencies in myeloma. These results may lead to improved stratification of MM patients in clinical trials while also revealing unexplored modes of Ras biology.

INSTRUMENT(S): Q Exactive Plus

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Suspension Culture, Plasma Cell, Cell Culture

DISEASE(S): Multiple Myeloma

SUBMITTER: Yu-Hsiu Lin  

LAB HEAD: Arun Paul Wiita

PROVIDER: PXD011551 | Pride | 2019-03-06

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
Q20170905-04RPMI8226_bR1.raw Raw
Q20170905-06AMO1_bR1.raw Raw
Q20170905-08MM1S_bR1.raw Raw
Q20170911-06RPMI8226_bR2.raw Raw
Q20170911-08MM1S_bR2.raw Raw
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Publications

Integrated phosphoproteomics and transcriptional classifiers reveal hidden RAS signaling dynamics in multiple myeloma.

Lin Yu-Hsiu T YT   Way Gregory P GP   Barwick Benjamin G BG   Mariano Margarette C MC   Marcoulis Makeba M   Ferguson Ian D ID   Driessen Christoph C   Boise Lawrence H LH   Greene Casey S CS   Wiita Arun P AP  

Blood advances 20191101 21


A major driver of multiple myeloma (MM) is thought to be aberrant signaling, yet no kinase inhibitors have proven successful in the clinic. Here, we employed an integrated, systems approach combining phosphoproteomic and transcriptome analysis to dissect cellular signaling in MM to inform precision medicine strategies. Unbiased phosphoproteomics initially revealed differential activation of kinases across MM cell lines and that sensitivity to mammalian target of rapamycin (mTOR) inhibition may b  ...[more]

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