Rapid profiling of protein kinase inhibitors by quantitative proteomics

Rapid profiling of protein kinase inhibitors by quantitative proteomics.

The ability to determine structure-activity relationships (SAR) and identify cellular targets from cell lysates and tissues is of great utility for kinase inhibitor drug discovery. We describe a streamlined mass spectrometry-based chemoproteomics workflow to examine the SAR and target profiles of a small library of kinase inhibitors that consists of the drug dasatinib and a panel of general typ...

Protein Profiling in Hepatocellular Carcinoma by Label-Free Quantitative Proteomics in Two West African Populations

BACKGROUND Hepatocellular Carcinoma is the third most common cause of cancer related death worldwide, often diagnosed by measuring serum AFP; a poor performance stand-alone biomarker. With the aim of improving on this, our study focuses on plasma proteins identified by Mass Spectrometry in order to investigate and validate differences seen in the respective proteomes of controls and subjects wi...

Quantitative proteomic profiling identifies protein correlates to EGFR kinase inhibition.

Clinical oncology is hampered by lack of tools to accurately assess a patient's response to pathway-targeted therapies. Serum and tumor cell surface proteins whose abundance, or change in abundance in response to therapy, differentiates patients responding to a therapy from patients not responding to a therapy could be usefully incorporated into tools for monitoring response. Here, we posit and...

Rapid quantitative profiling of complex microbial populations

Diverse and complex microbial ecosystems are found in virtually every environment on earth, yet we know very little about their composition and ecology. Comprehensive identification and quantification of the constituents of these microbial communities--a 'census'--is an essential foundation for understanding their biology. To address this problem, we developed, tested and optimized a DNA oligon...

Dynamics of Protein Complexes Tracked by Quantitative Proteomics