Single-cell RNA-seq of differentiating iPS cells reveals dynamic genetic effects on gene expression
Anna S. E. CuomoiD, Daniel D. SeatoniD, Davis James McCarthyiD, Iker Martinez, Marc Jan BonderiD, José Garcia‐BernardoiD, Shradha Amatya, Pedro MadrigaliD, Abigail IsaacsoniD, Florian BuettneriD, Andrew J. KnightsiD, Kedar Nath NatarajaniD, Chukwuma A. AguiD, Alex Alderton, Petr DanecekiD, Rachel Denton, Richard Michael DurbiniD, Daniel J. GaffneyiD, Ângela GonçalvesiD, Reena Halai, Sarah Harper, Christopher M. Kirton, Anja Kolb‐Kokocinski, Andreas LehaiD, Shane McCarthyiD, , Oliver StegleiD
Abstract
Recent developments in stem cell biology have enabled the study of cell fate decisions in early human development that are impossible to study in vivo. However, understanding how development varies across individuals and, in particular, the influence of common genetic variants during this process has not been characterised. Here, we exploit human iPS cell lines from 125 donors, a pooled experimental design, and single-cell RNA-sequencing to study population variation of endoderm differentiation. We identify molecular markers that are predictive of differentiation efficiency, and utilise heterogeneity in the genetic background across individuals to map hundreds of expression quantitative trait loci that influence expression dynamically during differentiation and across cellular contexts.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 331
- FWCI
- 17.27
- Field percentile
- top 1%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation
Julie Jerber, Daniel D. Seaton, … Oliver Stegle·Nature GeneticsPeer-reviewed·Mar 1, 2021
- Impact of regulatory variation across human iPSCs and differentiated cells
Nicholas E. Banovich, Yang Li, … Yoav Gilad·Genome ResearchPeer-reviewed·Jan 1, 2018
- Discovery and characterization of variance QTLs in human induced pluripotent stem cells
Abhishek Sarkar, Po‐Yuan Tung, … Yoav Gilad·PLoS GeneticsPeer-reviewed·Apr 19, 2019
- Identifying extrinsic versus intrinsic drivers of variation in cell behaviour in human iPS cell lines from healthy donors
Alessandra Vigilante, Anna Laddach, … Fiona M. Watt·bioRxiv·May 10, 2018
- Single cell eQTL analysis identifies cell type-specific genetic control of gene expression in fibroblasts and reprogrammed induced pluripotent stem cells
Drew R. Neavin, Quan Hoang Nguyen, … Joseph E. Powell·Genome BiologyPeer-reviewed·Dec 1, 2021
- Common genetic variation drives molecular heterogeneity in human iPSCs
Helena Kilpinen, Angela Goncalves, … Daniel J Gaffney·NaturePeer-reviewed·May 10, 2017