Evidence map›Paper›PMID 28934481›Full record

ArticleNucleic acids research2017

Automatic identification of informative regions with epigenomic changes associated to hematopoiesis.

Enrique Carrillo-de-Santa-Pau, David Juan, Vera Pancaldi, Felipe Were, Ignacio Martin-Subero, Daniel Rico, Alfonso Valencia, BLUEPRINT Consortium

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  4. Evolutionarily conserved enhancer-associated features within theFrontiers in cell and developmental biology · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
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  14. Epigenetic Priming in Childhood Acute Lymphoblastic Leukemia.Frontiers in cell and developmental biology · 2019
    Review
  15. Article
  16. 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.

Enrique Carrillo-de-Santa-PauStructural Biology and BioComputing Programme, Spanish National Cancer Research Centre (CNIO), Madrid, 28029, Spain.
David JuanInstitut de Biologia Evolutiva, Consejo Superior de Investigaciones Científicas-Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Barcelona, 08003, Spain.
Vera PancaldiBarcelona Supercomputing Centre (BSC), Barcelona, 08034, Spain.
Felipe WereStructural Biology and BioComputing Programme, Spanish National Cancer Research Centre (CNIO), Madrid, 28029, Spain.
Ignacio Martin-SuberoInstitut d'Investigacions Biomédiques August Pi i Sunyer (IDIBAPS), Department of Anatomic Pathology, Pharmacology and Microbiology, University of Barcelona, Barcelona, 08036, Spain.
Daniel RicoInstitute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.
Alfonso ValenciaBarcelona Supercomputing Centre (BSC), Barcelona, 08034, Spain.
BLUEPRINT Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematopoiesis is one of the best characterized biological systems but the connection between chromatin changes and lineage differentiation is not yet well understood. We have developed a bioinformatic workflow to generate a chromatin space that allows to classify 42 human healthy blood epigenomes from the BLUEPRINT, NIH ROADMAP and ENCODE consortia by their cell type. This approach let us to distinguish different cells types based on their epigenomic profiles, thus recapitulating important aspects of human hematopoiesis. The analysis of the orthogonal dimension of the chromatin space identify 32,662 chromatin determinant regions (CDRs), genomic regions with different epigenetic characteristics between the cell types. Functional analysis revealed that these regions are linked with cell identities. The inclusion of leukemia epigenomes in the healthy hematological chromatin sample space gives us insights on the healthy cell types that are more epigenetically similar to the disease samples. Further analysis of tumoral epigenetic alterations in hematopoietic CDRs points to sets of genes that are tightly regulated in leukemic transformations and commonly mutated in other tumors. Our method provides an analytical approach to study the relationship between epigenomic changes and cell lineage differentiation. Method availability: https://github.com/david-juan/ChromDet.

Indexed as

Epigenesis, GeneticBinding SitesChromatinEpigenomicsHematopoiesisHematopoietic Stem CellsHistone CodeHumansLeukemiaTranscription FactorsChromatinTranscription Factors

Identifiers

PMID28934481
PMCPMC5716146

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.