MassIVE MSV000079828

Imported Reanalysis Dataset Public PXD001676

Quantitative proteomics analysis of paired colorectal cancer and non-tumorigenic tissues reveal proteins and pathways perturbed in colorectal cancer

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Description

Proteomics is a dynamic field emerged dramatically the post genomic era which has been extensively employed to study altered protein expression to gain insight into the development process and pathways involved in cancer and uncover potential protein markers. Membrane proteomes of an expanded cohort of paired CRC and adjacent non-tumorigenic tissues (1 female and 7 males) were profiled using high resolution nanoLC-MS/MS-based proteomics, which identified 1,000-1,300 proteins in each of the two tissue types. 184 proteins were differentially expressed (P < 0.05, fold change > 1.5); 69 proteins were up- regulated and 115 proteins were down-regulated in the CRC tissues relative to non-tumorigenic tissues. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Colorectal Cancer ; proteomics ; mass spectrometery ; LC-MS/MS

Contact

Principal Investigators:
(in alphabetical order) 		Dr Dr. Susan Fanayan
Submitting User: ccms

Publications

Sethi MK, Thaysen-Andersen M, Kim H, Park CK, Baker MS, Packer NH, Paik YK, Hancock WS, Fanayan S.
Quantitative proteomic analysis of paired colorectal cancer and non-tumorigenic tissues reveals signature proteins and perturbed pathways involved in CRC progression and metastasis.
J Proteomics. Epub 2015 Jun 6.

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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.