Evidence map›Paper›PMID 39250420›Full record

ArticleDevelopment (Cambridge, England)2024

Dose-dependent responses to canonical Wnt transcriptional complexes in the regulation of mammalian nephron progenitors.

Helena Bugacov, Balint Der, Bohdana-Myroslava Briantseva, Qiuyu Guo, Sunghyun Kim, Nils O Lindström, Andrew P McMahon

Abstract read
In one paragraph

Article in Development (Cambridge, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

7 authors.

Helena BugacovDepartment of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0002-9575-3333
Balint DerDepartment of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0003-0604-8411
Bohdana-Myroslava BriantsevaDepartment of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90089, USA.
Qiuyu GuoDiscovery Biomarkers, Amgen Research, 1 Amgen Center Drive, Thousand Oaks, CA 91320, USA.
Sunghyun KimDepartment of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90089, USA.
Nils O LindströmDepartment of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90089, USA.
Andrew P McMahonDepartment of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0002-3779-1729

Funding

CELL INTERACTIONS IN DEVELOPMENT OF THE MAMMALIAN KIDNEYR01DK054364 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MCMAHON, ANDREW P. · 1998 to 2022
$6.9M
Training in Developmental Biology, Stem Cells and RegenerationT32HD060549 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Gage D Crump · 2011 to 2026
$2.5M
Transcriptional Programming in the Maintenance and Commitment of Nephron ProgenitorsF31DK122777 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUGACOV, HELENA · 2019 to 2022
$178k
NICHD NIH HHS T32 HD060549NIDDK NIH HHS F31 DK122777NIDDK NIH HHS R01 DK054364NIH HHS R01 DK054364
6 · The paper itself

Abstract

In vivo and in vitro studies argue that concentration-dependent Wnt signaling regulates mammalian nephron progenitor cell (NPC) programs. Canonical Wnt signaling is regulated through the stabilization of β-catenin, a transcriptional co-activator when complexed with Lef/Tcf DNA-binding partners. Using the GSK3β inhibitor CHIR99021 (CHIR) to block GSK3β-dependent destruction of β-catenin, we examined dose-dependent responses to β-catenin in mouse NPCs, using mRNA transduction to modify gene expression. Low CHIR-dependent proliferation of NPCs was blocked on β-catenin removal, with evidence of NPCs arresting at the G2-M transition. While NPC identity was maintained following β-catenin removal, mRNA-seq identified low CHIR and β-catenin dependent genes. High CHIR activated nephrogenesis. Nephrogenic programming was dependent on Lef/Tcf factors and β-catenin transcriptional activity. Molecular and cellular features of early nephrogenesis were driven in the absence of CHIR by a mutated stabilized form of β-catenin. Chromatin association studies indicate low and high CHIR response genes are likely direct targets of canonical Wnt transcriptional complexes. Together, these studies provide evidence for concentration-dependent Wnt signaling in the regulation of NPCs and provide new insight into Wnt targets initiating mammalian nephrogenesis.

Indexed as

beta CateninNephronsStem CellsWnt Signaling PathwayAnimalsCell ProliferationGene Expression Regulation, DevelopmentalGlycogen Synthase Kinase 3 betaMiceOrganogenesisPyridinesPyrimidinesTranscription, Geneticbeta CateninChir 99021Glycogen Synthase Kinase 3 betaPyridinesPyrimidinesDifferentiationInductionNephron progenitor cellsProliferationWnt/β-catenin signaling

Identifiers

PMID39250420
PMCPMC11463962

What OpenQuestion holds

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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.