Dennis Goldfarb, PhD
Assistant Professor of Cell Biology and Physiology
School of Medicine
Dennis Goldfarb, PhD, is focused on computational mass spectrometry and proteomics with the goal of achieving comprehensive protein identification and quantification in complex biological samples.
Dennis Goldfarb, PhD, is an Assistant Professor in the Department of Cell Biology and Physiology at Washington University School of Medicine in St. Louis. His research focuses on computational mass spectrometry, proteomics, and their applications in biology. His lab develops open-source solutions for novel data acquisition strategies, data analysis, and visualization tailored to the unique challenges of each experiment. Dr. Goldfarb aims to increase the throughput and reproducibility of large-scale projects with automated pipelines that leverage high-performance computing. Recently his research has concentrated on instrumentation, protein complex identification, and de novo peptide sequencing.
Dr. Goldfarb received his Ph.D. in Computer Science from The University of North Carolina at Chapel Hill. During this time he studied full-time in a cancer cell biology laboratory and became proficient in the operation of liquid chromatography and mass spectrometry instrumentation, experimental design, and subsequent data analysis. He developed methods to compute isotope distributions of fragment ions, deconvolve chimeric mass spectra, and to predict protein-protein interactions from affinity purification – mass spectrometry experiments. Through his many collaborations, Dr. Goldfarb has and continues to contribute to our understanding of the human microbiome, histone code, drug-target discovery, and cancer.
- Novel data acquisition strategies achieved through programmatic control of a mass spectrometer
- Instrumentation and computational approaches for studying protein complexes
- Scalable infrastructure for high-throughput LC/MS data analysis
- Machine learning approaches to mass spectral analysis
- Biological experiments that require custom analysis methods
- Ria Jasuja, Undergraduate Researcher, Washington University in St. Louis
- Approximating Isotope Distributions of Biomolecule Fragments. ACS Omega
- MSAcquisitionSimulator: Data-Dependent Acquisition Simulator for LC-MS Shotgun Proteomics. Bioinformatics
- Spotlite: Web Application and Augmented Algorithms for Predicting Co-Complexed Proteins from Affinity Purification – Mass Spectrometry Data. Journal of Proteome Research
- NRF2 Activation in Cancer: From DNA to Protein. Cancer Research
- Proteomic Analysis of Ubiquitin Ligase KEAP1 Reveals Associated Proteins that Inhibit NRF2 Ubiquitination. Cancer Research
- Hemi-Methylated DNA Regulates DNA Methylation Inheritance through Allosteric Activation of H3 Ubiquitylation by UHRF1. Elife
- Competitive Kinase Enrichment Proteomics Reveals that Abemaciclib Inhibits GSK3β and Activates WNT Signaling. Molecular Cancer Research