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.

Highlights

  • Improvements in proteomics technology have increased the depth of proteome coverage, including both the total numbers of proteins and the degree of sequence coverage achieved, leading to reports of near complete proteome measurements [1]

  • We report a workflow for micro-proteomics analyses in C. elegans, identifying ß3000 proteins from single adult worms and quantifying their expression levels across a dynamic range of ß6 orders of magnitude, detecting interindividual fluctuations of protein expression levels

  • Worms were maintained at 20ЊC on nematode growth medium (NGM) plates seeded with E. coli strain OP50

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Summary

Introduction

Improvements in proteomics technology have increased the depth of proteome coverage, including both the total numbers of proteins and the degree of sequence coverage achieved, leading to reports of near complete proteome measurements [1]. Large-scale proteomics studies on model organisms such as yeast report complete proteome coverage with ß4000 proteins [2, 3], while studies on mammalian cells report >10 000 proteins [4]. The dynamic range of protein expression in human cells is estimated to span seven to eight orders of magnitude while the dynamic range covered by a single LC-MS injection in large-scale proteomics is currently limited to ß106 [12]. This presents a significant analytical challenge because proteomics does not allow for amplification steps akin to PCR based transcriptomics. While single cell analyses are currently out of the range of proteomics technology, it appeared possible to develop procedures

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