MassIVE MSV000079569

Imported Reanalysis Dataset Public PXD001999

Triple SILAC glycoproteomic analysis of NSCLC cell lines

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Description

Protein glycosylation plays a fundamental role in a multitude of biological processes, and the associated aberrant expression of glycoproteins in cancer has made them attractive targets as biomarkers and therapeutic targets. In this study, we examined differentially expressed glycoproteins in cell lines derived from three different states of lung tumorigenesis: an immortalized bronchial epithelial cell (HBE) line, a non-small cell lung cancer (NSCLC) cell line harboring an activation KRAS mutation and a NSCLC cell line harboring an EGFR activation deletion. Mutations in KRAS and EGFR are two common, distinct, non-overlapping genomic alterations in NSCLC. Using a Triple SILAC proteomic quantification strategy paired with hydrazide chemistry N-linked glycopeptide enrichment, we identified 118 quantifiable glycopeptides in the 3 cell lines derived from 82 glycoproteins. Proteomic profiling revealed that 27 (24%) of the glycopeptides overexpressed in both of the NSCLC cell lines with 6 of the glycopeptides overexpressed only in the EGFR mutant cells and 19 of the glycopeptides overexpressed only in the KRAS mutant cells. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Lung cancer ; Glycoproteomics ; SILAC ; SPEG

Contact

Principal Investigators:
(in alphabetical order) 		Dr Li Mao
Submitting User: ccms

Publications

Clark DJ, Mei Y, Sun S, Zhang H, Yang AJ, Mao L.
Glycoproteomic Approach Identifies KRAS as a Positive Regulator of CREG1 in Non-small Cell Lung Cancer Cells.
Theranostics. 2016;6(1):65-77. Epub 2016 Jan 1.

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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.

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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.

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Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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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.

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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.