MassIVE MSV000080620

Imported Reanalysis Dataset Public PXD002137

Proteome Landscapes of the Human Colorectal Mucosa, and its Adenoma and Cancer

Description

Adenomatous polyps in the colorectal tract are benign tumors with the potential to develop cancer. In this study we perform a large scale proteomic study of comparing the proteomes of colorectal enterocytes (N) and the cells of the adenoma (A) and cancer (C). Using formalin fixed and paraffin embedded clinical material, we identified on average 10,000 proteins per sample of the microdissected cells and established a quantitative protein repository of the disease. Statistical analysis revealed 2300, 1780, and 2161 significant alterations between N and A, C and A, and C and N, respectively. In this work we did not aim identification of novel biomarkers but focus on depiction of the proteome alterations underlying the disease. The extent of the assessed changes reflects a varied cell size, the composition of different subcellular components, and basic biological processes including the energy metabolism, plasma membrane transport, DNA replication and transcription. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Colorectal cancer ; Adenomatous polyposis coli ; Enterocyte ; Metabolism ; FFPE-tissue ; Quantitative proteomics ; Absolute protein quantification ; Total protein approach

Contact

Principal Investigators:
(in alphabetical order)
Jacek R Wisniewski, Max-Planck Institute of Biochemistry, Martinsried, Germany, N/A
Submitting User: ccms

Publications

Wi?niewski JR, Du?-Szachniewicz K, Ostasiewicz P, ZiĆ³?kowski P, Rakus D, Mann M.
Absolute Proteome Analysis of Colorectal Mucosa, Adenoma, and Cancer Reveals Drastic Changes in Fatty Acid Metabolism and Plasma Membrane Transporters.
J. Proteome Res. 2015 Sep 4;14(9):4005-18. Epub 2015 Aug 17.

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Owner Reanalyses
Experimental Design
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Identification Results
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Quantification Results
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When complete, the converted files will be available in the "ccms_peak" subdirectory of the dataset's FTP space (accessible via the "FTP Download" link to the right).
Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

Distinct replicate labels are counted across all files submitted in the "Metadata" category having a "BioReplicate" or "Replicate" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

The technical replicate count is defined as the maximum number of times any one distinct combination of condition and biological replicate was analyzed across all files submitted in the "Metadata" category. In the case of fractionated experiments, only the first fraction is considered.

"N/A" means no results of this type were submitted.
Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

"N/A" means no results of this type were submitted.
Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.