Evidence map›Paper›PMID 28282036›Full record

ArticleCell death and differentiation2017

Heterarchy of transcription factors driving basal and luminal cell phenotypes in human urothelium.

Carl Fishwick, Janet Higgins, Lawrence Percival-Alwyn, Arianna Hustler, Joanna Pearson, Sarah Bastkowski, Simon Moxon, David Swarbreck, Chris D Greenman, Jennifer Southgate

Open access · hybridAbstract read
In one paragraph

Article in Cell death and differentiation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

37 citing papers in PubMed, 54 citations in OpenAlex.

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  12. Bladder cancer.Nature reviews. Disease primers · 2023
    Review
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  16. GATA3 Expression in Human Tumors: A Tissue Microarray Study on 16,557 Tumors.Pathobiology : journal of immunopathology, molecular and cellular biology · 2023
    Article
  17. Article
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  19. Review
  20. Review
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

10 authors at 3 institutions in 1 country.

Carl FishwickJack Birch Unit for Molecular Carcinogenesis, Department of Biology, University of York, York YO10 5DD, UK.
Janet HigginsEarlham Institute, Norwich Research Park, Norwich NR4 7UZ, UK.ORCID 0000-0002-7560-2212
Lawrence Percival-AlwynEarlham Institute, Norwich Research Park, Norwich NR4 7UZ, UK.ORCID 0000-0001-7725-9203
Arianna HustlerJack Birch Unit for Molecular Carcinogenesis, Department of Biology, University of York, York YO10 5DD, UK.
Joanna PearsonJack Birch Unit for Molecular Carcinogenesis, Department of Biology, University of York, York YO10 5DD, UK.
Sarah BastkowskiEarlham Institute, Norwich Research Park, Norwich NR4 7UZ, UK.
Simon MoxonEarlham Institute, Norwich Research Park, Norwich NR4 7UZ, UK.
David SwarbreckEarlham Institute, Norwich Research Park, Norwich NR4 7UZ, UK.
Chris D GreenmanSchool of Computing Sciences, University of East Anglia, Norwich NR4 7TJ, UK.
Jennifer SouthgateJack Birch Unit for Molecular Carcinogenesis, Department of Biology, University of York, York YO10 5DD, UK.ORCID 0000-0002-0135-480X
Norwich Research Park · GBUniversity of York · GBUniversity of East Anglia · GB

Funding

Biotechnology and Biological Sciences Research Council BB/J010375/1
6 · The paper itself

Abstract

Cell differentiation is affected by complex networks of transcription factors that co-ordinate re-organisation of the chromatin landscape. The hierarchies of these relationships can be difficult to dissect. During in vitro differentiation of normal human uro-epithelial cells, formaldehyde-assisted isolation of regulatory elements (FAIRE-seq) and RNA-seq was used to identify alterations in chromatin accessibility and gene expression changes following activation of the nuclear receptor peroxisome proliferator-activated receptor gamma (PPARγ) as a differentiation-initiating event. Regions of chromatin identified by FAIRE-seq, as having altered accessibility during differentiation, were found to be enriched with sequence-specific binding motifs for transcription factors predicted to be involved in driving basal and differentiated urothelial cell phenotypes, including forkhead box A1 (FOXA1), P63, GRHL2, CTCF and GATA-binding protein 3 (GATA3). In addition, co-occurrence of GATA3 motifs was observed within subsets of differentiation-specific peaks containing P63 or FOXA1. Changes in abundance of GRHL2, GATA3 and P63 were observed in immunoblots of chromatin-enriched extracts. Transient siRNA knockdown of P63 revealed that P63 favoured a basal-like phenotype by inhibiting differentiation and promoting expression of basal marker genes. GATA3 siRNA prevented differentiation-associated downregulation of P63 protein and transcript, and demonstrated positive feedback of GATA3 on PPARG transcript, but showed no effect on FOXA1 transcript or protein expression. This approach indicates that as a transcriptionally regulated programme, urothelial differentiation operates as a heterarchy, wherein GATA3 is able to co-operate with FOXA1 to drive expression of luminal marker genes, but that P63 has potential to transrepress expression of the same genes.

Indexed as

CCCTC-Binding FactorCell DifferentiationCell LineChromatinDNA-Binding ProteinsEpithelial CellsFormaldehydeGATA3 Transcription FactorGene Expression RegulationHepatocyte Nuclear Factor 3-alphaHumansPhenotypePPAR gammaRegulatory Elements, TranscriptionalRNA, MessengerRNA, Small InterferingCCCTC-Binding FactorChromatinCTCF protein, humanDNA-Binding ProteinsFormaldehydeFOXA1 protein, humanGATA3 protein, humanGATA3 Transcription FactorGRHL2 protein, humanHepatocyte Nuclear Factor 3-alphaPPAR gammaRNA, MessengerRNA, Small InterferingTP63 protein, humanTranscription FactorsTumor Suppressor Proteins

Identifiers

PMID28282036
PMCPMC5423105
OpenAlexW2591099423

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.