Evidence map›Paper›PMID 27633377›Full record

ArticleBMC genomics2016

Genome-wide identification and characterisation of HOT regions in the human genome.

Hao Li, Feng Liu, Chao Ren, Xiaochen Bo, Wenjie Shu

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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  5. Network analysis identifies chromosome intermingling regions as regulatory hotspots for transcription.Proceedings of the National Academy of Sciences of the United States of America · 2017
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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

5 authors at 1 institution in 1 country.

Hao LiDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, 100850, China.
Feng LiuDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, 100850, China.
Chao RenDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, 100850, China.
Xiaochen BoDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, 100850, China. boxc@bmi.ac.cn.
Wenjie ShuDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, 100850, China. shuwj@bmi.ac.cn.
Beijing Radiation Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHOT (high-occupancy target) regions, which are bound by a surprisingly large number of transcription factors, are considered to be among the most intriguing findings of recent years. An improved understanding of the roles that HOT regions play in biology would be afforded by knowing the constellation of factors that constitute these domains and by identifying HOT regions across the spectrum of human cell types.

resultsWe characterised and validated HOT regions in embryonic stem cells (ESCs) and produced a catalogue of HOT regions in a broad range of human cell types. We found that HOT regions are associated with genes that control and define the developmental processes of the respective cell and tissue types. We also showed evidence of the developmental persistence of HOT regions at primitive enhancers and demonstrate unique signatures of HOT regions that distinguish them from typical enhancers and super-enhancers. Finally, we performed a dynamic analysis to reveal the dynamical regulation of HOT regions upon H1 differentiation.

conclusionsTaken together, our results provide a resource for the functional exploration of HOT regions and extend our understanding of the key roles of HOT regions in development and differentiation.

Indexed as

Binding SitesGenome, HumanGenomicsChromatin ImmunoprecipitationComputational BiologyEmbryonic Stem CellsEnhancer Elements, GeneticEpigenesis, GeneticHigh-Throughput Nucleotide SequencingHumansRegulatory Sequences, Nucleic AcidReproducibility of ResultsTranscription FactorsTranscription FactorsBivalent markersCell development and differentiationDynamic epigenetic regulationHOT regionsSuper-enhancers

Identifiers

PMID27633377
PMCPMC5025555
OpenAlexW2951145523

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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.