Evidence map›Paper›PMID 33734084›Full record

ArticleeLife2021

Whole-organism eQTL mapping at cellular resolution with single-cell sequencing.

Eyal Ben-David, James Boocock, Longhua Guo, Stefan Zdraljevic, Joshua S Bloom, Leonid Kruglyak

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.5field-weighted citation impact, top 4% of its field
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

32 citing papers in PubMed, 52 citations in OpenAlex.

  1. DivergenteLife · 2026
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  4. bioRxiv : the preprint server for biology · 2026
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  5. Review
  6. A gene expression atlas of a juvenile nervous system.bioRxiv : the preprint server for biology · 2025
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  7. Polyamine homeostasisbioRxiv : the preprint server for biology · 2025
    Article
  8. Review
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  10. Article
  11. Article
  12. A novel exploration ofJournal of pharmaceutical analysis · 2025
    Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 2 countries.

Eyal Ben-DavidDepartment of Human Genetics, Department of Biological Chemistry, and Howard Hughes Medical Institute, University of California, Los Angeles, Los Angeles, United States.ORCID 0000-0003-0514-0400
James BoocockDepartment of Human Genetics, Department of Biological Chemistry, and Howard Hughes Medical Institute, University of California, Los Angeles, Los Angeles, United States.
Longhua GuoDepartment of Human Genetics, Department of Biological Chemistry, and Howard Hughes Medical Institute, University of California, Los Angeles, Los Angeles, United States.
Stefan ZdraljevicDepartment of Human Genetics, Department of Biological Chemistry, and Howard Hughes Medical Institute, University of California, Los Angeles, Los Angeles, United States.
Joshua S BloomDepartment of Human Genetics, Department of Biological Chemistry, and Howard Hughes Medical Institute, University of California, Los Angeles, Los Angeles, United States.ORCID 0000-0002-7241-1648
Leonid KruglyakDepartment of Human Genetics, Department of Biological Chemistry, and Howard Hughes Medical Institute, University of California, Los Angeles, Los Angeles, United States.ORCID 0000-0002-8065-3057
Howard Hughes Medical Institute · US

Funding

Genetic dissection of transcriptional and organismal phenotypes in C. elegansR01HG004321 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KRUGLYAK, LEONID · 2007 to 2014
$1.9M
Dissecting tissue-specific gene expression across individuals and species using single-cell sequencingK99HG010369 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEN-DAVID, EYAL · 2018 to 2019
$214k
Howard Hughes Medical InstituteNHGRI NIH HHS K99 HG010369NHGRI NIH HHS R01 HG004321
6 · The paper itself

Abstract

Genetic regulation of gene expression underlies variation in disease risk and other complex traits. The effect of expression quantitative trait loci (eQTLs) varies across cell types; however, the complexity of mammalian tissues makes studying cell-type eQTLs highly challenging. We developed a novel approach in the model nematode

Indexed as

Quantitative Trait LociAnimalsCaenorhabditis elegansChromosome MappingSingle-Cell AnalysisC. eleganscell-typeseqtlgeneticsgenomicsmappingrna-seqsingle-cell

Identifiers

PMID33734084
PMCPMC8062134
OpenAlexW3138886768

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.