Evidence map›Paper›PMID 29155860›Full record

ArticlePloS one2017

ChIP-Seq analysis identifies p27(Kip1)-target genes involved in cell adhesion and cell signalling in mouse embryonic fibroblasts.

Atilla Biçer, Serena Orlando, Abul B M M K Islam, Edurne Gallastegui, Arnaud Besson, Rosa Aligué, Oriol Bachs, Maria Jesús Pujol

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. p27 transcriptionally coregulates cJun to drive programs of tumor progression.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  5. Article
  6. Role of p27Oncotarget · 2018
    Review
  7. p27Oncotarget · 2018
    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

8 authors at 3 institutions in 3 countries.

Atilla BiçerDepartment of Biomedical Sciences, University of Barcelona-IDIBAPS (Institut d'investigacions Biomèdiques August Pi i Sunyer), Barcelona, Spain.
Serena OrlandoDepartment of Biomedical Sciences, University of Barcelona-IDIBAPS (Institut d'investigacions Biomèdiques August Pi i Sunyer), Barcelona, Spain.
Abul B M M K IslamDepartment of Genetic Engineering and Biotechnology, University of Dhaka, Dhaka, Bangladesh.
Edurne GallasteguiDepartment of Biomedical Sciences, University of Barcelona-IDIBAPS (Institut d'investigacions Biomèdiques August Pi i Sunyer), Barcelona, Spain.
Arnaud BessonINSERM UMR1037, Cancer Research Center of Toulouse, Toulouse, France.
Rosa AliguéDepartment of Biomedical Sciences, University of Barcelona-IDIBAPS (Institut d'investigacions Biomèdiques August Pi i Sunyer), Barcelona, Spain.
Oriol BachsDepartment of Biomedical Sciences, University of Barcelona-IDIBAPS (Institut d'investigacions Biomèdiques August Pi i Sunyer), Barcelona, Spain.ORCID http://orcid.org/0000-0003-1843-5929
Maria Jesús PujolDepartment of Biomedical Sciences, University of Barcelona-IDIBAPS (Institut d'investigacions Biomèdiques August Pi i Sunyer), Barcelona, Spain.
Consorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESCentre National de la Recherche Scientifique · FRUniversity of Dhaka · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The protein p27Kip1 (p27), a member of the Cip-Kip family of cyclin-dependent kinase inhibitors, is involved in tumorigenesis and a correlation between reduced levels of this protein in human tumours and a worse prognosis has been established. Recent reports revealed that p27 also behaves as a transcriptional regulator. Thus, it has been postulated that the development of tumours with low amounts of p27 could be propitiated by deregulation of transcriptional programs under the control of p27. However, these programs still remain mostly unknown. The aim of this study has been to define the transcriptional programs regulated by p27 by first identifying the p27-binding sites (p27-BSs) on the whole chromatin of quiescent mouse embryonic fibroblasts. The chromatin regions associated to p27 have been annotated to the most proximal genes and it has been considered that the expression of these genes could by regulated by p27. The identification of the chromatin p27-BSs has been performed by Chromatin Immunoprecipitation Sequencing (ChIP-seq). Results revealed that p27 associated with 1839 sites that were annotated to 1417 different genes being 852 of them protein coding genes. Interestingly, most of the p27-BSs were in distal intergenic regions and introns whereas, in contrast, its association with promoter regions was very low. Gene ontology analysis of the protein coding genes revealed a number of relevant transcriptional programs regulated by p27 as cell adhesion, intracellular signalling and neuron differentiation among others. We validated the interaction of p27 with different chromatin regions by ChIP followed by qPCR and demonstrated that the expressions of several genes belonging to these programs are actually regulated by p27. Finally, cell adhesion assays revealed that the adhesion of p27-/- cells to the plates was much higher that controls, revealing a role of p27 in the regulation of a transcriptional program involved in cell adhesion.

Indexed as

GenomeTranscription, GeneticAnimalsBinding SitesCell AdhesionChromatinChromatin ImmunoprecipitationChromosome MappingCyclin-Dependent Kinase Inhibitor p27DNA, IntergenicEmbryo, MammalianFibroblastsGene Expression RegulationGene OntologyHCT116 CellsHumansChromatinCyclin-Dependent Kinase Inhibitor p27DNA, Intergenic

Identifiers

PMID29155860
PMCPMC5695801
OpenAlexW2770977216

What OpenQuestion holds

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Registered trials

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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.