Evidence map›Paper›PMID 40073070›Full record

ArticleeLife2025

Single-cell eQTL mapping in yeast reveals a tradeoff between growth and reproduction.

James Boocock, Noah Alexander, Leslie Alamo Tapia, Laura Walter-McNeill, Shivani Prashant Patel, Chetan Munugala, Joshua S Bloom, Leonid Kruglyak

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

James BoocockDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, United States.ORCID https://orcid.org/0000-0003-0323-8818
Noah AlexanderDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, United States.
Leslie Alamo TapiaDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, United States.
Laura Walter-McNeillDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, United States.
Shivani Prashant PatelDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, United States.
Chetan MunugalaDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, United States.
Joshua S BloomDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, United States.ORCID https://orcid.org/0000-0002-7241-1648
Leonid KruglyakDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, United States.ORCID https://orcid.org/0000-0002-8065-3057

Funding

Toward comprehensive genetic dissection of complex traits in yeastR01GM102308 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEONID KRUGLYAK · 2012 to 2026
$3.3M
NIGMS NIH HHS R01 GM102308NIH HHS 2RO1GM102308-06
6 · The paper itself

Abstract

Expression quantitative trait loci (eQTLs) provide a key bridge between noncoding DNA sequence variants and organismal traits. The effects of eQTLs can differ among tissues, cell types, and cellular states, but these differences are obscured by gene expression measurements in bulk populations. We developed a one-pot approach to map eQTLs in

Indexed as

Quantitative Trait LociSaccharomyces cerevisiaeSingle-Cell AnalysisAllelesCell CycleChromosome MappingGene Expression Regulation, FungalReproductionSequence Analysis, RNAeQTLevolutionary biologygene expressiongeneticsgenomicsS. cerevisiaesingle-cell RNA sequencing

Identifiers

PMID40073070
PMCPMC11903034

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.