Proteomics

Dataset Information

Feasibility of phosphoproteomics to uncover oncogenic signalling in secreted extracellular vesicles using glioblastoma-EGFRVIII cells as a model


ABSTRACT: Cancer cells secrete extracellular vesicles (EVs) that contain molecular information, including proteins and RNA. Oncogenic signalling can be transferred via the cargo of EVs to recipient cells and may influence the behaviour of neighbouring cells or cells at a distance. This cargo may contain cancer drivers, such as EGFR, and also phosphorylated (activated) components of oncogenic signalling cascades. Till date, the cancer EV phosphoproteome has not been studied in great detail. In the present study, we used U87 and U87EGFRvIII cells as a model to explore EV oncogenic signalling components in comparison to the cellular profile. EVs were isolated using the VN96 ME-kit and subjected to LC-MS/MS based phosphoproteomics and dedicated bioinformatics.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Thang Pham  

LAB HEAD: Connie Jimenez

PROVIDER: PXD046189 | Pride | 2023-10-17

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
MaxQuant-txt-lysate.zip Other
MaxQuant-txt-tiox.zip Other
QE3_170712_OPL1030_ML_U87_TiOx_DDA_A.raw Raw
QE3_170712_OPL1030_ML_U87_TiOx_DDA_B.raw Raw
QE3_170712_OPL1030_ML_U87_TiOx_DDA_C.raw Raw
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