MassIVE MSV000085836

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Quantitative Proteomics of the Cancer Cell Line Encyclopedia

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Description

The Cancer Cell Line Encyclopedia (CCLE) is a collaborative effort to generate steady-state large-scale profiling across a collection of nearly a thousand cancer cell lines. Multiple generations of this effort have resulted in a collection of many data types such as RNA expression, mutation annotation, and drug sensitivity data. Included here are whole proteome profiles for 375 cell lines in this collection collected using TMT 10-plex reagent and SPS-MS3 acquisition. They include cell lines from many tissue lineages with various underlying oncogenic mutations. The fully normalized data downstream of these raw files as well as the many other datasets in the CCLE are availble at https://depmap.org/portal/. [doi:10.25345/C54B3B] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: CCLE ; Cancer ; Cell lines ; MS3 ; TMT

Contact

Principal Investigators:
(in alphabetical order) 		Steven P Gygi, Harvard Medical School, USA
Submitting User: david_nusinow

Publications

Nusinow DP, Szpyt J, Ghandi M, Rose CM, McDonald ER, Kalocsay M, Jané-Valbuena J, Gelfand E, Schweppe DK, Jedrychowski M, Golji J, Porter DA, Rejtar T, Wang YK, Kryukov GV, Stegmeier F, Erickson BK, Garraway LA, Sellers WR, Gygi SP.
Quantitative Proteomics of the Cancer Cell Line Encyclopedia.
Cell. 2020 Jan 23;180(2):387-402.e16.

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Identification Results
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Quantification Results
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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.