Micro-proteomics with iterative data analysis: proteome analysis in XXXX at the single worm level.

@entity1457 @entity2199
UNASSIGNED: Proteomics studies typically analyze proteins at a population level, using extracts prepared from tens of thousands to millions of cells. The resulting measurements correspond to average values across the cell population and can mask considerable variation in protein expression and function between individual cells or organisms. Here, we report the development of micro-proteomics for the analysis of @entity2199 , a eukaryote composed of 959 somatic cells and    1,500 germ cells, measuring the worm proteome at a single organism level to a depth of     3,000 proteins. This includes detection of proteins across a wide dynamic range of expression levels (> 6 orders of magnitude), including many chromatin-associated factors involved in chromosome structure and gene regulation. We apply the micro-proteomics workflow to measure the global proteome response to @entity1457 in individual @entity2199 . This shows variation between individual animals in the magnitude of proteome response following @entity1457 , including variable induction of @entity1457 . The micro-proteomics pipeline thus facilitates the investigation of stochastic variation in protein expression between individuals within an isogenic population of @entity2199 . All data described in this study are available online via the Encyclopedia of Proteome Dynamics (http://www.peptracker.com/epd), an open access, searchable database resource. This article is protected by copyright. All rights reserved.
