Evidence map›Paper›PMID 37940702›Full record

ArticleNature communications2023

The transcriptional legacy of developmental stochasticity.

Sara Ballouz, Risa Karakida Kawaguchi, Maria T Pena, Stephan Fischer, Megan Crow, Leon French, Frank M Knight, Linda B Adams, Jesse Gillis

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

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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 6 institutions in 5 countries.

Sara Ballouz *Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA.
Risa Karakida Kawaguchi *Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA.ORCID 0000-0003-1764-5721
Maria T PenaUS Department of Health and Human Services, Health Resources and Services Administration, Healthcare System Bureau, National Hansen's Disease Program, Baton Rouge, LA, 70803, USA.
Stephan FischerCold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA.ORCID 0000-0002-7034-4103
Megan CrowCold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA.
Leon FrenchPhysiology Department and Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-9409-4583
Frank M KnightUniversity of the Ozarks, Clarksville, AR, 72830, USA.
Linda B AdamsUS Department of Health and Human Services, Health Resources and Services Administration, Healthcare System Bureau, National Hansen's Disease Program, Baton Rouge, LA, 70803, USA.ORCID 0000-0001-6265-3531
Jesse GillisCold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA. jesse.gillis@utoronto.ca.ORCID 0000-0002-0936-9774
Cold Spring Harbor Laboratory · USHealth Resources and Services Administration · USUniversity of Toronto · CAInstitut Pasteur · FRKyoto University · JPUniversity of the Ozarks · US

Funding

Revealing the transcriptomic basis of neuronal identity through functional meta-analysisR01MH113005 · NIMH · COLD SPRING HARBOR LABORATORY · PI GILLIS, JESSE · 2017 to 2021
$2.4M
Heuristics to evaluate biomedical and genomic knowledge bases for validityR01LM012736 · NLM · COLD SPRING HARBOR LABORATORY · PI GILLIS, JESSE · 2017 to 2020
$1.9M
NIAAA NIH HHS L30 AA015006NIMH NIH HHS R01 MH113005NLM NIH HHS R01 LM012736
6 · The paper itself

Abstract

Genetic and environmental variation are key contributors during organism development, but the influence of minor perturbations or noise is difficult to assess. This study focuses on the stochastic variation in allele-specific expression that persists through cell divisions in the nine-banded armadillo (Dasypus novemcinctus). We investigated the blood transcriptome of five wild monozygotic quadruplets over time to explore the influence of developmental stochasticity on gene expression. We identify an enduring signal of autosomal allelic variability that distinguishes individuals within a quadruplet despite their genetic similarity. This stochastic allelic variation, akin to X-inactivation but broader, provides insight into non-genetic influences on phenotype. The presence of stochastically canalized allelic signatures represents a novel axis for characterizing organismal variability, complementing traditional approaches based on genetic and environmental factors. We also developed a model to explain the inconsistent penetrance associated with these stochastically canalized allelic expressions. By elucidating mechanisms underlying the persistence of allele-specific expression, we enhance understanding of development's role in shaping organismal diversity.

Indexed as

ArmadillosAllelesAnimalsHumansPenetrancePhenotype

Identifiers

PMID37940702
PMCPMC10632366
OpenAlexW4388537105

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.