Proteomics

Dataset Information

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Proteomic analysis of clear cell renal cell carcinoma tissue versus matched normal kidney tissue


ABSTRACT: We analyzed 84 tumor/normal pairs (177 total) using standard shotgun proteomic techniques in order to characterize the molecular landscape of clear cell renal cell carcinoma (ccRCC) and interrogated changes in protein abundance and biological pathways with ccRCC grade. These tissues were distributed across stage 1 (n = 34), 2 (n = 40), 3 (n = 42), and 4 (n = 52), with 9 pairs also including samples from metastasized tumor. These data can be (and were) combined with a previously published transcriptomic data set from the same sample cohort (NCBI GEO: GSE53757).

INSTRUMENT(S): LTQ

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Kidney

DISEASE(S): Renal Clear Cell Carcinoma

SUBMITTER: Benjamin Neely  

LAB HEAD: Richard R. Drake

PROVIDER: PXD003271 | Pride | 2016-04-18

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
1246A-Mar2011NewSamples.raw Raw
1246B-Mar2011NewSamples.raw Raw
1246C-Mar2011NewSamples.raw Raw
1272A-Mar2011NewSamples.raw Raw
1272B-Mar2011NewSamples.raw Raw
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Publications

Proteotranscriptomic Analysis Reveals Stage Specific Changes in the Molecular Landscape of Clear-Cell Renal Cell Carcinoma.

Neely Benjamin A BA   Wilkins Christopher E CE   Marlow Laura A LA   Malyarenko Dariya D   Kim Yunee Y   Ignatchenko Alexandr A   Sasinowska Heather H   Sasinowski Maciek M   Nyalwidhe Julius O JO   Kislinger Thomas T   Copland John A JA   Drake Richard R RR  

PloS one 20160429 4


Renal cell carcinoma comprises 2 to 3% of malignancies in adults with the most prevalent subtype being clear-cell RCC (ccRCC). This type of cancer is well characterized at the genomic and transcriptomic level and is associated with a loss of VHL that results in stabilization of HIF1. The current study focused on evaluating ccRCC stage dependent changes at the proteome level to provide insight into the molecular pathogenesis of ccRCC progression. To accomplish this, label-free proteomics was used  ...[more]

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