Evidence map›Paper›PMID 24671951›Full record

ArticleBlood2014

High-throughput transcription profiling identifies putative epigenetic regulators of hematopoiesis.

Punit Prasad, Michelle Rönnerblad, Erik Arner, Masayoshi Itoh, Hideya Kawaji, Timo Lassmann, Carsten O Daub, Alistair R R Forrest, Andreas Lennartsson, Karl Ekwall and 1 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Blood, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Punit PrasadDepartment of Bioscience and Nutrition, Center for Biosciences, NOVUM, Karolinska Institutet, Stockholm, Sweden;
Michelle Rönnerblad
Erik Arner
Masayoshi Itoh
Hideya Kawaji
Timo Lassmann
Carsten O Daub
Alistair R R Forrest
Andreas Lennartsson
Karl Ekwall
FANTOM consortium
Karolinska Institutet · SERIKEN Center for Integrative Medical Sciences · JPRIKEN · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematopoietic differentiation is governed by a complex regulatory program controlling the generation of different lineages of blood cells from multipotent hematopoietic stem cells. The transcriptional program that dictates hematopoietic cell fate and differentiation requires an epigenetic memory function provided by a network of epigenetic factors regulating DNA methylation, posttranslational histone modifications, and chromatin structure. Aberrant interactions between epigenetic factors and transcription factors cause perturbations in the blood cell differentiation program that result in various types of hematopoietic disorders. To elucidate the contributions of different epigenetic factors in human hematopoiesis, high-throughput cap analysis of gene expression was used to build transcription profiles of 199 epigenetic factors in a wide range of blood cells. Our epigenetic transcriptome analysis revealed cell type- (eg, HELLS and ACTL6A), lineage- (eg, MLL), and/or leukemia- (eg, CHD2, CBX8, and EPC1) specific expression of several epigenetic factors. In addition, we show that several epigenetic factors use alternative transcription start sites in different cell types. This analysis could serve as a resource for the scientific community for further characterization of the role of these epigenetic factors in blood development.

Indexed as

Epigenesis, GeneticGene Expression RegulationCell DifferentiationCell LineageDNA MethylationGene Expression ProfilingHematopoiesisHematopoietic Stem CellsHumansPrincipal Component AnalysisTranscription, Genetic

Identifiers

PMID24671951
OpenAlexW1964648031

What OpenQuestion holds

Textmetadata
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.