Glioblastoma cell secretome: analysis of three glioblastoma cell lines reveal 148 non-redundant proteins

RV Polisetty, MK Gupta, SC Nair, K Ramamoorthy… - Journal of …, 2011 - Elsevier
RV Polisetty, MK Gupta, SC Nair, K Ramamoorthy, S Tiwary, A Shiras, GR Chandak
Journal of proteomics, 2011Elsevier
Glioblastoma multiforme (GBM) is the most aggressive among human gliomas with poor
prognosis. Study of tumor cell secretome–proteins secreted by cancer cell lines, is a
powerful approach to discover potential diagnostic or prognostic biomarkers. Here we
report, for the first time, proteins secreted by three GBM cell lines, HNGC2, LN229 and
U87MG. Analysis of the conditioned media of these cell lines by LC-MS/MS using ESI-IT
mass spectrometer (LTQ) resulted in the confident identification of 102, 119 and 64 proteins …
Glioblastoma multiforme (GBM) is the most aggressive among human gliomas with poor prognosis. Study of tumor cell secretome – proteins secreted by cancer cell lines, is a powerful approach to discover potential diagnostic or prognostic biomarkers. Here we report, for the first time, proteins secreted by three GBM cell lines, HNGC2, LN229 and U87MG. Analysis of the conditioned media of these cell lines by LC-MS/MS using ESI-IT mass spectrometer (LTQ) resulted in the confident identification of 102, 119 and 64 proteins, respectively. Integration of the results from all the three cell lines lead to a dataset of 148 non-redundant proteins. Subcellular classification using Genome Ontology indicated that 42% of the proteins identified belonged to extracellular or membrane proteins, viz. Vinculin, Tenascin XB, SERPIN F1 and TIMP-1. 52 proteins matched with the secretomes of 11 major cancer types reported earlier whereas remaining 96 are unique to our study. 25 protein identifications from the dataset represent proteins related to GBM or other cancer tissues as per Human Protein Atlas; at least 22 are detectable in plasma, 11 of them being reported even in cerebrospinal fluid. Our study thus provides a valuable resource of GBM cell secretome with potential for further investigation as GBM biomarkers.
Elsevier
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