Mining the meningioma lanscape to identify biomarkers using LFQ
PXD014852Mukherjee et al., 2020
Overview
- Modality
- Proteomics (bulk MS)
- Sample count
- 31
- Patient count
- Not reported
- Institution
- IIT Bombay
- Corresponding author
- Sanjeeva Srivastava
- Platform
- Q Exactive
- Access type
- open
- Tissue preservation
- fresh_frozen
- WHO edition
- Not reported
Cohort detail
- Grade breakdown
- G1: 10 G2: 11 G3: 2
- Sex distribution
- Not reported
- Age distribution
- Not reported
- Anatomic location
- Not reported
- Brain invasion
- Not reported
- Normal/control tissue
- Normal dura mater (n=4) and arachnoid mater (n=4) (n=8)
Priority attributes
WHO grade breakdown availablePeer-reviewed
Publications
- Mukherjee S, et al. Comprehending Meningioma Signaling Cascades Using Multipronged Proteomics Approaches & Targeted Validation of Potential Markers. Frontiers in Oncology, 2020. PMID 32974197 · DOI
Sources
- ebi.ac.ukhttps://www.ebi.ac.uk/pride/archive/projects/PXD014852