Proteomics

Dataset Information

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Stable isotope dynamic labelling of secretomes C4PR_LIV


ABSTRACT: We improve on currently-available resources by describing a mass spectrometry (MS)-based strategy using stable isotope dynamic labelling of secretomes (SIDLS) that discriminates between authentic secretory proteins and intracellular proteins within the secretome of cultured cells. By monitoring the rate of incorporation of labelled amino acids into newly synthesised proteins as they appear in the media, we can differentiate those proteins that have been destined for secretion, and exhibit rapid labelling, from those with low rates of labelling or low turnover relative to the growth rate of the cells which is a feature of intracellular proteins.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Hepatocyte, Esophagus Mucosa, Esophagus

DISEASE(S): Esophageal Cancer

SUBMITTER: Dean Hammond  

LAB HEAD: Dean Hammond

PROVIDER: PXD007231 | Pride | 2019-10-08

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
1_0h_373_2h_2uL.raw Raw
2_30min_373_2h_2uL.raw Raw
3_1h_373_2h_2uL.raw Raw
4_2h_373_2h_2uL.raw Raw
5_6h_373_2h_2uL.raw Raw
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Publications

Stable Isotope Dynamic Labeling of Secretomes (SIDLS) Identifies Authentic Secretory Proteins Released by Cancer and Stromal Cells.

Hammond Dean E DE   Kumar J Dinesh JD   Raymond Lorna L   Simpson Deborah M DM   Beynon Robert J RJ   Dockray Graham J GJ   Varro Andrea A  

Molecular & cellular proteomics : MCP 20180618 9


Analysis of secretomes critically underpins the capacity to understand the mechanisms determining interactions between cells and between cells and their environment. In the context of cancer cell micro-environments, the relevant interactions are recognized to be an important determinant of tumor progression. Global proteomic analyses of secretomes are often performed at a single time point and frequently identify both classical secreted proteins (possessing an N-terminal signal sequence), as wel  ...[more]

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