Spatiotemporal proteomics
A new project from our lab explores "simultaneous proteome localization and turnover" analysis.
A new project from our lab explores "simultaneous proteome localization and turnover" analysis.
When does mRNA level not predict protein level? A new paper from our lab revisited the question of how well mRNA levels reflect protein variances across different tumors and normal tissues using CPTAC data.
Using mass spectrometry, stable isotope labeling, and kinetic modeling to determine protein half-life in vivo.
We are interested in applying proteomics and bioinformatics methods to discover secreted proteins and long-range endocrine signals from different cells and tissues.
R and Python tools developed in the lab for proteomics studies.
A new study from our lab shows a computational workflow to prioritize useful RNA-seq signatures by considering how well they predict protein changes.
We are looking for post-doctoral, post-baccalaureate, and undergraduate researchers to join our team!