Evidence map›Paper›PMID 34822715›Full record

ArticleDevelopment (Cambridge, England)2021

SMAD4 target genes are part of a transcriptional network that integrates the response to BMP and SHH signaling during early limb bud patterning.

Julie Gamart, Iros Barozzi, Frédéric Laurent, Robert Reinhardt, Laurène Ramos Martins, Thomas Oberholzer, Axel Visel, Rolf Zeller, Aimée Zuniga

Open access · hybridAbstract read
In one paragraph

Article in Development (Cambridge, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Recombinant Limb Assay asFrontiers in cell and developmental biology · 2022
    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 2 institutions in 2 countries.

Julie GamartDevelopmental Genetics, Department of Biomedicine, University of Basel, 4058 Basel, Switzerland.
Iros BarozziFunctional Genomics Department, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.ORCID 0000-0003-0690-3473
Frédéric LaurentDevelopmental Genetics, Department of Biomedicine, University of Basel, 4058 Basel, Switzerland.ORCID 0000-0001-7563-9800
Robert ReinhardtDevelopmental Genetics, Department of Biomedicine, University of Basel, 4058 Basel, Switzerland.
Laurène Ramos MartinsDevelopmental Genetics, Department of Biomedicine, University of Basel, 4058 Basel, Switzerland.
Thomas OberholzerDevelopmental Genetics, Department of Biomedicine, University of Basel, 4058 Basel, Switzerland.
Axel ViselFunctional Genomics Department, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.ORCID 0000-0002-4130-7784
Rolf ZellerDevelopmental Genetics, Department of Biomedicine, University of Basel, 4058 Basel, Switzerland.ORCID 0000-0002-3186-7403
Aimée ZunigaDevelopmental Genetics, Department of Biomedicine, University of Basel, 4058 Basel, Switzerland.ORCID 0000-0002-9953-3637
University of Basel · CHLawrence Berkeley National Laboratory · US

Funding

Generation of an In Vivo Human Genome Transcriptional Enhancer DatasetR01HG003988 · NHGRI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI Len Alexander Pennacchio · 2006 to 2026
$24.1M
Center for Mammalian Regulatory GenomicsU54HG006997 · NHGRI · LUDWIG INSTITUTE FOR CANCER RES LTD · PI REN, BING · 2012 to 2016
$14.3M
In Vivo Characterization of Major ENCODE-Predicted Classes of Noncoding ElementsUM1HG009421 · NHGRI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI PENNACCHIO, LEN ALEXANDER, VISEL, AXEL · 2017 to 2021
$6.8M
A Single-Cell Resolution Enhancer Atlas of Craniofacial DevelopmentR01DE028599 · NIDCR · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI VISEL, AXEL · 2019 to 2023
$4.2M
NHGRI NIH HHS R01 HG003988NHGRI NIH HHS U54 HG006997NHGRI NIH HHS UM1 HG009421NIDCR NIH HHS R01 DE028599
6 · The paper itself

Abstract

SMAD4 regulates gene expression in response to BMP and TGFβ signal transduction, and is required for diverse morphogenetic processes, but its target genes have remained largely elusive. Here, we identify the SMAD4 target genes in mouse limb buds using an epitope-tagged Smad4 allele for ChIP-seq analysis in combination with transcription profiling. This analysis shows that SMAD4 predominantly mediates BMP signal transduction during early limb bud development. Unexpectedly, the expression of cholesterol biosynthesis enzymes is precociously downregulated and intracellular cholesterol levels are reduced in Smad4-deficient limb bud mesenchymal progenitors. Most importantly, our analysis reveals a predominant function of SMAD4 in upregulating target genes in the anterior limb bud mesenchyme. Analysis of differentially expressed genes shared between Smad4- and Shh-deficient limb buds corroborates this function of SMAD4 and also reveals the repressive effect of SMAD4 on posterior genes that are upregulated in response to SHH signaling. This analysis uncovers opposing trans-regulatory inputs from SHH- and SMAD4-mediated BMP signal transduction on anterior and posterior gene expression during the digit patterning and outgrowth in early limb buds.

Indexed as

Body PatterningSignal TransductionAnimalsBone Morphogenetic ProteinsGene Expression Regulation, DevelopmentalHedgehog ProteinsHindlimbLimb BudsMiceMice, TransgenicSmad4 ProteinBone Morphogenetic ProteinsHedgehog ProteinsShh protein, mouseSmad4 ProteinSmad4 protein, mouseAnteriorBMPChIP-seqCistromeLimb developmentMouseRNA-seqSHHSMAD4

Identifiers

PMID34822715
PMCPMC8714076
OpenAlexW3216216647

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.