Proteomics

Dataset Information

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Mining Meningioma Proteomics Alterations Using IP MS


ABSTRACT: Herein we have used IP-MS based approach to identify potential interactors (PPI) that bind to Annexin A2. We have used Immunoaffinity based enrichment using antibody specific to ANXA2 followed by LC MS-MS of the Complex post running it in SDS-PAGE

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Brain, Epithelial Cell

DISEASE(S): Brain Cancer

SUBMITTER: Shuvolina Mukherjee  

LAB HEAD: SANJEEVA SRIVASTAVA

PROVIDER: PXD014853 | Pride | 2021-08-30

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
IPMS.msf Msf
IPMS1.raw Raw
IPMS2.raw Raw
IPMS3.raw Raw
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Publications

Comprehending Meningioma Signaling Cascades Using Multipronged Proteomics Approaches & Targeted Validation of Potential Markers.

Mukherjee Shuvolina S   Biswas Deeptarup D   Gadre Rucha R   Jain Pooja P   Syed Nelofer N   Stylianou Julianna J   Zeng Qingyu Q   Mahadevan Anita A   Epari Sridhar S   Shetty Prakash P   Moiyadi Aliasgar A   Roy Ball Graham G   Srivastava Sanjeeva S  

Frontiers in oncology 20200826


Meningiomas are one of the most prevalent primary brain tumors. Our study aims to obtain mechanistic insights of meningioma pathobiology using mass spectrometry-based label-free quantitative proteome analysis to identifying druggable targets and perturbed pathways for therapeutic intervention. Label-free based proteomics study was done from peptide samples of 21 patients and 8 non-tumor controls which were followed up with Phosphoproteomics to identify the kinases and phosphorylated components o  ...[more]

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