Jan 10, 2014

Genetics of single-cell protein abundance variation in large yeast populations

Nature
Frank W AlbertLeonid Kruglyak

Abstract

Variation among individuals arises in part from differences in DNA sequences, but the genetic basis for variation in most traits, including common diseases, remains only partly understood. Many DNA variants influence phenotypes by altering the expression level of one or several genes. The effects of such variants can be detected as expression quantitative trait loci (eQTL). Traditional eQTL mapping requires large-scale genotype and gene expression data for each individual in the study sample, which limits sample sizes to hundreds of individuals in both humans and model organisms and reduces statistical power. Consequently, many eQTL are probably missed, especially those with smaller effects. Furthermore, most studies use messenger RNA rather than protein abundance as the measure of gene expression. Studies that have used mass-spectrometry proteomics reported unexpected differences between eQTL and protein QTL (pQTL) for the same genes, but these studies have been even more limited in scope. Here we introduce a powerful method for identifying genetic loci that influence protein expression in the yeast Saccharomyces cerevisiae. We measure single-cell protein abundance through the use of green fluorescent protein tags in very larg...Continue Reading

  • References41
  • Citations43

Mentioned in this Paper

Single-Cell Analysis
Saccharomyces cerevisiae Proteins
Quantitative Trait Loci
Cellular Process
Saccharomyces cerevisiae allergenic extract
Genes, Reiterated
RNA, Fungal
Gene Expression Regulation, Fungal
Gene Expression
Fluorescent stain

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