Lindsay K. Pino is a Ph.D. candidate at the University of Washington’s Department of Genome Sciences in the MacCoss lab. Her research interests include the development of large-scale proteomics assays using data independent acquisition-MS to investigate complex mixtures and applying computational techniques to mine the resulting high-dimensional data. Prior to joining the MacCoss lab, she worked as a research associate at the Broad Institute of MIT and Harvard in Dr. Steve Carr’s Proteomics Platform, where she worked under Dr. Susan Abbatiello to improve the speed and selectivity of targeted proteomics assays using high-field asymmetric waveform ion mobility spectrometry (FAIMS).

Applying lessons learned from targeted mass spectrometry to data-independent acquisition (DIA) assays 

Advantages of a data independent acquisition (DIA)-MS workflow include comprehensive, unbiased, and reproducible sampling of ions, which coupled to peptide-centric analysis provides mass spectrometrists with data sets that make subsequent comparison quantification of target analytes much easier. Read More
However, challenges in making confident, reproducible quantifications on such a large scale remain. In this presentation, I will present the adaption of strategies we have found important in fully targeted assay development (i.e SRM and PRM) towards the quantification of peptides from DIA experiments.