Evidence map›Paper›PMID 38341412›Full record

ArticleNature communications2024

The dynamic genetic determinants of increased transcriptional divergence in spermatids.

Jasper Panten, Tobias Heinen, Christina Ernst, Nils Eling, Rebecca E Wagner, Maja Satorius, John C Marioni, Oliver Stegle, Duncan T Odom

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

9 authors at 4 institutions in 3 countries.

Jasper PantenDivision of Regulatory Genomics and Cancer Evolution, German Cancer Research Centre (DKFZ), 69120, Heidelberg, Germany.
Tobias HeinenDivision of Computational Genomics and Systems Genetics, German Cancer Research Centre (DKFZ), 69120, Heidelberg, Germany.
Christina ErnstSchool of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland.ORCID 0000-0002-3569-2209
Nils ElingUniversity of Zurich, Department of Quantitative Biomedicine, Zurich, 8057, Switzerland.ORCID 0000-0002-4711-1176
Rebecca E WagnerFaculty of Biosciences, Heidelberg University, 69117, Heidelberg, Germany.
Maja SatoriusDivision of Regulatory Genomics and Cancer Evolution, German Cancer Research Centre (DKFZ), 69120, Heidelberg, Germany.
John C MarioniCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.ORCID 0000-0001-9092-0852
Oliver StegleDivision of Computational Genomics and Systems Genetics, German Cancer Research Centre (DKFZ), 69120, Heidelberg, Germany. o.stegle@dkfz-heidelberg.de.ORCID 0000-0002-8818-7193
Duncan T OdomDivision of Regulatory Genomics and Cancer Evolution, German Cancer Research Centre (DKFZ), 69120, Heidelberg, Germany. d.odom@dkfz-heidelberg.de.ORCID 0000-0001-6201-5599
German Cancer Research Center · DEÉcole Polytechnique Fédérale de Lausanne · CHEuropean Bioinformatics Institute · GBUniversity of Zurich · CH

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 031L0174CEC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 788937EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 810296Wellcome TrustWellcome Trust (Wellcome) 202878_Z_16_Z
6 · The paper itself

Abstract

Cis-genetic effects are key determinants of transcriptional divergence in discrete tissues and cell types. However, how cis- and trans-effects act across continuous trajectories of cellular differentiation in vivo is poorly understood. Here, we quantify allele-specific expression during spermatogenic differentiation at single-cell resolution in an F1 hybrid mouse system, allowing for the comprehensive characterisation of cis- and trans-genetic effects, including their dynamics across cellular differentiation. Collectively, almost half of the genes subject to genetic regulation show evidence for dynamic cis-effects that vary during differentiation. Our system also allows us to robustly identify dynamic trans-effects, which are less pervasive than cis-effects. In aggregate, genetic effects were strongest in round spermatids, which parallels their increased transcriptional divergence we identified between species. Our approach provides a comprehensive quantification of the variability of genetic effects in vivo, and demonstrates a widely applicable strategy to dissect the impact of regulatory variants on gene regulation in dynamic systems.

Indexed as

Gene Expression RegulationSpermatidsAnimalsMaleMice

Identifiers

PMID38341412
PMCPMC10858866
OpenAlexW4391716605

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.