Evidence map›Paper›PMID 33664506›Full record

ArticleNature genetics2021

Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation.

Julie Jerber, Daniel D Seaton, Anna S E Cuomo, Natsuhiko Kumasaka, James Haldane, Juliette Steer, Minal Patel, Daniel Pearce, Malin Andersson, Marc Jan Bonder and 8 more

Abstract read
In one paragraph

Article in Nature genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 194 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
194citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

194 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review

134 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Julie Jerber *Open Targets, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Daniel D Seaton *European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0002-5222-3893
Anna S E Cuomo *European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0001-5168-6979
Natsuhiko KumasakaWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0002-3557-0375
James HaldaneWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0001-7778-9036
Juliette SteerWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0001-8086-7955
Minal PatelWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Daniel PearceWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Malin AnderssonWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0003-1935-1989
Marc Jan BonderEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Ed MountjoyOpen Targets, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Maya GhoussainiOpen Targets, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Madeline A LancasterMRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK.
HipSci Consortium
John C MarioniWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK. marioni@ebi.ac.uk.ORCID http://orcid.org/0000-0001-9092-0852
Florian T MerkleMetabolic Research Laboratories and Medical Research Council Metabolic Diseases Unit, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, UK. fm436@medschl.cam.ac.uk.ORCID http://orcid.org/0000-0002-8513-2998
Daniel J GaffneyWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK. dg13@sanger.ac.uk.ORCID http://orcid.org/0000-0002-1529-1862
Oliver StegleWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK. o.stegle@dkfz-heidelberg.de.ORCID http://orcid.org/0000-0002-8818-7193

Funding

Cancer Research UK 22231Cancer Research UK C9545/A29580Department of HealthMedical Research Council MC_UP_1201/9Medical Research Council MR/M008975/1Medical Research Council MR/P501967/1Medical Research Council MR/R015724/1Wellcome Trust 211221Wellcome Trust 211221/Z/18/ZWellcome Trust WT206194
6 · The paper itself

Abstract

Studying the function of common genetic variants in primary human tissues and during development is challenging. To address this, we use an efficient multiplexing strategy to differentiate 215 human induced pluripotent stem cell (iPSC) lines toward a midbrain neural fate, including dopaminergic neurons, and use single-cell RNA sequencing (scRNA-seq) to profile over 1 million cells across three differentiation time points. The proportion of neurons produced by each cell line is highly reproducible and is predictable by robust molecular markers expressed in pluripotent cells. Expression quantitative trait loci (eQTL) were characterized at different stages of neuronal development and in response to rotenone-induced oxidative stress. Of these, 1,284 eQTL colocalize with known neurological trait risk loci, and 46% are not found in the Genotype-Tissue Expression (GTEx) catalog. Our study illustrates how coupling scRNA-seq with long-term iPSC differentiation enables mechanistic studies of human trait-associated genetic variants in otherwise inaccessible cell states.

Indexed as

Quantitative Trait LociTranscriptomeCell DifferentiationDopaminergic NeuronsGenetic Predisposition to DiseaseHumansInduced Pluripotent Stem CellsNeurogenesisOxidative StressReceptor, Fibroblast Growth Factor, Type 1RotenoneSequence Analysis, RNASingle-Cell AnalysisFGFR1 protein, humanReceptor, Fibroblast Growth Factor, Type 1Rotenone

Identifiers

PMID33664506
PMCPMC7610897

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.