Evidence map›Paper›PMID 19925682›Full record

ArticleBMC genomics2009

Ligand-specific sequential regulation of transcription factors for differentiation of MCF-7 cells.

Yuko Saeki, Takaho Endo, Kaori Ide, Takeshi Nagashima, Noriko Yumoto, Tetsuro Toyoda, Harukazu Suzuki, Yoshihide Hayashizaki, Yoshiyuki Sakaki, Mariko Okada-Hatakeyama

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
1.3field-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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Article
  6. From Cell States to Cell Fates: Control of Cell State Transitions.Methods in molecular biology (Clifton, N.J.) · 2024
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  7. Synchronization between Attractors: Genomic Mechanism of Cell-Fate Change.International journal of molecular sciences · 2023
    Review
  8. Spatial-Temporal Genome Regulation in Stress-Response and Cell-Fate Change.International journal of molecular sciences · 2023
    Review
  9. Article
  10. A Unified Genomic Mechanism of Cell-Fate Change.Results and problems in cell differentiation · 2022
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. [Identifying critical state of breast cancer cell differentiation based on landscape dynamic network biomarkers].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020
    Article
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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

10 authors at 3 institutions in 1 country.

Yuko SaekiCellular Systems Modeling Team, Computational Systems Biology Research Group, Advanced Computational Sciences Department, RIKEN Advanced Science Institute, 1-7-22 Suehiro-cho Tsurumi-ku Yokohama, Kanagawa 230-0045, Japan.
Takaho Endo
Kaori Ide
Takeshi Nagashima
Noriko Yumoto
Tetsuro Toyoda
Harukazu Suzuki
Yoshihide Hayashizaki
Yoshiyuki Sakaki
Mariko Okada-Hatakeyama
RIKEN Center for Integrative Medical Sciences · JPRIKEN Advanced Science Institute · JPToyohashi University of Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSharing a common ErbB/HER receptor signaling pathway, heregulin (HRG) induces differentiation of MCF-7 human breast cancer cells while epidermal growth factor (EGF) elicits proliferation. Although cell fates resulting from action of the aforementioned ligands completely different, the respective gene expression profiles in early transcription are qualitatively similar, suggesting that gene expression during late transcription, but not early transcription, may reflect ligand specificity. In this study, based on both the data from time-course quantitative real-time PCR on over 2,000 human transcription factors and microarray of all human genes, we identified a series of transcription factors which may control HRG-specific late transcription in MCF-7 cells.

resultsWe predicted that four transcription factors including EGR4, FRA-1, FHL2, and DIPA should have responsibility of regulation in MCF-7 cell differentiation. Validation analysis suggested that one member of the activator protein 1 (AP-1) family, FOSL-1 (FRA-1 gene), appeared immediately following c-FOS expression, might be responsible for expression of transcription factor FHL2 through activation of the AP-1 complex. Furthermore, RNAi gene silencing of FOSL-1 and FHL2 resulted in increase of extracellular signal-regulated kinase (ERK) phosphorylation of which duration was sustained by HRG stimulation.

conclusionOur analysis indicated that a time-dependent transcriptional regulatory network including c-FOS, FRA-1, and FHL2 is vital in controlling the ERK signaling pathway through a negative feedback loop for MCF-7 cell differentiation.

Indexed as

Cell DifferentiationCell Line, TumorEpidermal Growth FactorGene Expression ProfilingGene Expression RegulationHumansLigandsNeuregulin-1PhenotypePolymerase Chain ReactionReproducibility of ResultsRNA InterferenceSignal TransductionTime FactorsTranscription FactorsEpidermal Growth FactorLigandsNeuregulin-1Transcription Factors

Identifiers

PMID19925682
PMCPMC2785842
OpenAlexW2089448177

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.