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Population-scale proteome variation in human induced pluripotent stem cells

Mirauta, BA; Seaton, DD; Bensaddek, D; Brenes, A; Bonder, MJ; Kilpinen, H; HipSci Consortium; ... Lamond, AI; + view all (2020) Population-scale proteome variation in human induced pluripotent stem cells. eLife , 9 , Article e57390. 10.7554/eLife.57390. Green open access

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Abstract

Human disease phenotypes are driven primarily by alterations in protein expression and/or function. To date, relatively little is known about the variability of the human proteome in populations and how this relates to variability in mRNA expression and to disease loci. Here, we present the first comprehensive proteomic analysis of human induced pluripotent stem cells (iPSC), a key cell type for disease modelling, analysing 202 iPSC lines derived from 151 donors, with integrated transcriptome and genomic sequence data from the same lines. We characterised the major genetic and non-genetic determinants of proteome variation across iPSC lines and assessed key regulatory mechanisms affecting variation in protein abundance. We identified 654 protein quantitative trait loci (pQTLs) in iPSCs, including disease-linked variants in protein-coding sequences and variants with trans regulatory effects. These include pQTL linked to GWAS variants that cannot be detected at the mRNA level, highlighting the utility of dissecting pQTL at peptide level resolution.

Type: Article
Title: Population-scale proteome variation in human induced pluripotent stem cells
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.7554/eLife.57390
Publisher version: http://dx.doi.org/10.7554/eLife.57390
Language: English
Additional information: © 2020, Mirauta et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
Keywords: deleterious variants, genetics, genomics, human, induced pluripotent stem cells, proteomics
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Genetics and Genomic Medicine Dept
URI: https://discovery.ucl.ac.uk/id/eprint/10112929
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