Measuring protein turnover in cells and tissues
Using mass spectrometry, stable isotope labeling, and kinetic modeling to determine protein half-life
Using mass spectrometry, stable isotope labeling, and kinetic modeling to determine protein half-life
We are interested in applying proteomics and bioinformatics methods to discover secreted proteins and long-range endocrine signals from different cells and tissues.
A new publication on Software Impact describes the current version of JCAST.
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!