ArticleeLife2020
Population-scale proteome variation in human induced pluripotent stem cells.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
38 citing papers in PubMed, 68 citations in OpenAlex.
- Genome-wide pQTL mapping in human skin identifies specific genetic regulators and mechanistic links to skin disorders.Nature communications · 2026Article
- Multi-Tissue Omics Analysis Uncovers Translational Regulation Underlying Complex Traits in Pigs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- A genome-scale single-cell CRISPRi map of trans gene regulation across human pluripotent stem cell lines.Cell genomics · 2026Article
- Adjusting PSC culture for neural organoid generation.Stem cell reports · 2026Article
- Systems genetics reveals the influence of expression QTLs in mouse embryonic stem cells on transcriptional variation later in differentiated neural progenitor cells.G3 (Bethesda, Md.) · 2025Article
- Mass spectrometry-based mapping of plasma protein QTLs in children and adolescents.Nature genetics · 2025Article
- Cross cell-type systems genetics reveals the influence of eQTL at multiple points in the developmental trajectory of mouse neural progenitor cells.bioRxiv : the preprint server for biology · 2025Article
- Mutation impact on mRNA versus protein expression across human cancers.GigaScience · 2025Article
- Article
- Bridging the Gap From Proteomics Technology to Clinical Application: Highlights From the 68th Benzon Foundation Symposium.Molecular & cellular proteomics : MCP · 2024Article
- Promises and Challenges of populational Proteomics in Health and Disease.Molecular & cellular proteomics : MCP · 2024Article
- Patient-derived induced pluripotent stem cells with aWorld journal of stem cells · 2024Article
- Species-wide quantitative transcriptomes and proteomes reveal distinct genetic control of gene expression variation in yeast.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Harnessing the power of proteomics in precision diabetes medicine.Diabetologia · 2024Review
- Integrating population genetics, stem cell biology and cellular genomics to study complex human diseases.Nature genetics · 2024Article
- Article
- Proteomics applications in next generation induced pluripotent stem cell models.Expert review of proteomics · 2024Review
- Reliable multiplex generation of pooled induced pluripotent stem cells.Cell reports methods · 2023Article
- Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits.Nature communications · 2023Article
- iPSC-derived retinal pigmented epithelial cells from patients with macular telangiectasia show decreased mitochondrial function.The Journal of clinical investigation · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 5 countries.
Funding
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
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.