Connie R. Jiménez

This study shows that EGFR inhibition in glioblastoma does not lead to broad kinome rewiring but instead results in increased EGFR abundance and partial restoration of EGFR signaling.

This study shows that reducing HOOK2 levels in ovarian cancer cells decreases tumor growth, migration, and stemness by increasing endoplasmic reticulum stress and cell death.

The paper identifies altered microtubule post-translational modifications in hypertrophic cardiomyopathy and shows protein kinase A modulates microtubule repolymerization in patient-derived hiPSC-CMs.

The paper introduces a new data structure and fragment weighting method to improve the speed and accuracy of protein quantification in mass spectrometry-based proteomics.

This study identifies lipoproteins LpqZ and FecB as essential for mycobacterial cell envelope biogenesis through interactions with enzymes involved in glycoconjugate synthesis.

This study analyzes heart tissue from BTHS patients using integrated omics to identify metabolic and mitochondrial changes associated with the disease.

CellEKT profiles cellular target engagement of kinase inhibitors using chemical proteomics to determine IC50 values across over 300 kinases and validate results with phosphoproteomics and NanoBRET.

This study identifies NUAK1 as a regulator of vascular smooth muscle cell contraction in abdominal aortic aneurysm patients, showing its role in modulating MYPT1 activity and contraction-related proteins.

This study evaluates high-dose vitamin C's anti-cancer effects across 51 cancer cell lines, finding high sensitivity and proteomic changes linked to cell cycle and immune pathways.

DPHL v2 improves upon DPHL v1 by including semi-tryptic peptides and protein isoforms, increasing identified and dysregulated proteins in colorectal cancer analysis.

The paper evaluates AGPC-based extraction for phosphoproteomics on limited samples, showing comparable results to urea-based methods and enabling multi-omics analysis.

This paper standardizes a proteotype analysis workflow across multiple international sites to enable distributed, reproducible proteomic data generation for precision medicine.

The paper introduces DPHL, a pan-human protein mass spectrometry library built using DIA and PRM, and demonstrates its utility in identifying differentially expressed proteins in prostate cancer and DLBCL.

INKA identifies active phosphokinases in cancer by integrating kinase and substrate phosphorylation data from phosphoproteomics.