The research need
High-dimensional proteomics studies require careful assay quality control, statistical modeling, and biological interpretation to distinguish reproducible protein signals from technical variation.
Analysis contribution
Ashish Jain carried out the proteomics analysis, including data quality assessment, normalization review, differential protein analysis, pathway-level interpretation, and preparation of publication-ready results.
Research impact
- Established an analysis-ready proteomics dataset
- Identified proteins showing study-relevant abundance differences
- Connected protein-level signals to biological pathways
- Generated clear figures and statistical summaries for scientific communication