Micro‐proteomics with iterative data analysis: Proteome analysis in C. elegans at the single worm level. Issue 3 (7th January 2016)

• Record Type: Journal Article
• Authors: Bensaddek, Dalila; Narayan, Vikram; Nicolas, Armel; Brenes Murillo, Alejandro; Gartner, Anton; Kenyon, Cynthia J.; Lamond, Angus I.
• Is Part Of: Proteomics. Volume 16:Issue 3(2016)
• Page Start: 381
• Page End: 392
• Publication Date: 2016-01-07
• Subjects: Caenorhabditis elegans -- Heat‐shock -- Micro‐proteomics -- Nematode -- Single worm proteomics -- Technology; Proteins -- Separation -- Periodicals; Bioinformatics -- Periodicals; Proteomics -- Periodicals; Genomes -- Periodicals; Molecular genetics -- Periodicals; 572.605
• DOI: 10.1002/pmic.201500264
• Languages: English
• ISSNs: 1615-9853

Abstract

Abstract : 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 Caenorhabditis elegans, a eukaryote composed of 959 somatic cells and ∼1500 germ cells, measuring the worm proteome at a single organism level to a depth of ∼3000 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 heat‐shock in individual nematodes. This shows variation between individual animals in the magnitude of proteome response following heat‐shock, including variable induction of heat‐shock proteins. The micro‐proteomics pipeline thus facilitates the investigation of stochastic variation in protein expression between individuals within an isogenic population of C. elegans . 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.