Dataset Information


HipSci: the iPSC proteomic compendium

ABSTRACT: Human induced pluripotent stem cell (iPSC) technology holds great potential for therapeutic and research purposes, by providing improved models of disease and for studying mechanisms regulating differentiation. The Human Induced Pluripotent Stem Cell Initiative (HipSci) was established to generate large panel of high-quality human iPSC lines from both healthy donors and disease cohorts for the research community. Here we present a resource featuring a comprehensive proteomic analysis of >200 human iPSC lines obtained from >100 different donors. This dataset has identified in total >16,000 proteins expressed in iPSCs, with expression levels spanning 7 orders of magnitude. Our analysis of these lines has provided insight into mechanisms regulating primed pluripotency. All the proteomics data we have integrated into the Enclyclopedia of Proteome Dynamics where it can be browsed and analysed interactively.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Homo sapiens  

TISSUE(S): Tissue Not Applicable To Dataset

DISEASE(S): Bardet-biedl Syndrome

SUBMITTER: Alejandro Brenes  

LAB HEAD: Angus I. Lamond

PROVIDER: PXD010557 | Pride | 2019-07-25


Dataset's files

Action DRS
HIPSCI_library_for_DIAnew.xls Xls
PT6374-1.raw Raw
PT6374-10.raw Raw
PT6374-11.raw Raw
PT6374-12.raw Raw
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Population-scale proteome variation in human induced pluripotent stem cells.

Mirauta Bogdan Andrei BA   Seaton Daniel D DD   Bensaddek Dalila D   Brenes Alejandro A   Bonder Marc Jan MJ   Kilpinen Helena H   Stegle Oliver O   Lamond Angus I AI  

eLife 20200810

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 an  ...[more]

Publication: 1/2

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