Dataset Information

Human CRC cell line baseline phosphoproteomics

ABSTRACT: There is a need for robust phosphopeptide enrichment methods to allow signaling network analysis in cancer cell lines and tissues with minimal fractionation. With recent instrument developments thousands of unique phosphopeptides can be detected by single-shot LC-MS/MS. However, successful phosphoproteomics experiments still rely on efficient phosphopeptide enrichment from a tryptic digest prior to LC-MS/MS analysis. Here we describe a performance assessment of HAMMOC (hydroxyl acid modified metal affinity chromatography) (Sugiyama MCP2007, Kyono, JPR 2008) combined with single shot label-free quantitation at 500 µg peptide input level. We apply the method to profile the baseline phosphorylation landscape of a panel of 8 colorectal cancer (CRC) cell lines. These CRC cell lines represent the 3 CRC subtypes (CCS1, CCS2 and CCS3) as reported by large-scale transcriptome analysis. We report an analysis of the phosphoprotein network and processes enriched in the cell lines representing the poor prognosis CCS3 subtype.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell, Cell Culture

DISEASE(S): Colon Cancer

SUBMITTER: Sander Piersma

LAB HEAD: Connie Ramona Jimenez

PROVIDER: PXD001550 | Pride | 2015-04-15

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	MaxQuant.zip	Other
	QE2_130117_OPL1013_TiOx_CRC_CaCo2_1_130120032318.raw	Raw
	QE2_130117_OPL1013_TiOx_CRC_CaCo2_2.raw	Raw
	QE2_130117_OPL1013_TiOx_CRC_DLD1_1_130119231956.raw	Raw
	QE2_130117_OPL1013_TiOx_CRC_DLD1_2.raw	Raw

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Publications

Feasibility of label-free phosphoproteomics and application to base-line signaling of colorectal cancer cell lines.

Piersma Sander R SR Knol Jaco C JC de Reus Inge I Labots Mariette M Sampadi Bharath K BK Pham Thang V TV Ishihama Yasushi Y Verheul Henk M W HM Jimenez Connie R CR

Journal of proteomics 20150401 Pt B

Robust phosphopeptide enrichment methods with minimal fractionation are required to profile signaling network analysis in cancer cell lines and tissues. We assessed performance of single-shot LC-MS/MS label-free phosphoproteomics using TiOx-based phosphopeptide enrichment and report phosphopeptide identification reproducibility (75.8%), depth of identification (6014-6150 phosphopeptides) and reproducibility of label-free quantification (CV 17.8%). Subsequently, we have profiled the baseline glob ...[more]

PMID: 25841592

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