Evidence map›Paper›PMID 34526084›Full record

ArticleGenome biology2021

Mapping the evolving landscape of super-enhancers during cell differentiation.

Yan Kai, Bin E Li, Ming Zhu, Grace Y Li, Fei Chen, Yingli Han, Hye Ji Cha, Stuart H Orkin, Wenqing Cai, Jialiang Huang and 1 more

Abstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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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

11 authors.

Yan Kai *Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, 02115, USA.
Bin E Li *Cancer and Blood Disorders Center, Boston Children's Hospital and Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA.
Ming Zhu *State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, 361102, Fujian, China.
Grace Y LiCancer and Blood Disorders Center, Boston Children's Hospital and Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA.
Fei ChenState Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, 361102, Fujian, China.
Yingli HanState Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, 361102, Fujian, China.
Hye Ji ChaCancer and Blood Disorders Center, Boston Children's Hospital and Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA.
Stuart H OrkinCancer and Blood Disorders Center, Boston Children's Hospital and Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA.
Wenqing CaiCancer and Blood Disorders Center, Boston Children's Hospital and Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA. caiwqwq@gmail.com.
Jialiang HuangState Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, 361102, Fujian, China. jhuang@xmu.edu.cn.
Guo-Cheng YuanDepartment of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, 02115, USA. guo-cheng.yuan@mssm.edu.ORCID 0000-0002-2283-4714

Funding

Stem Cell and Transplantation BiologyU54DK106829 · NIDDK · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DEREK L STIREWALT · 2015 to 2026
$9.1M
MOLECULAR ANALYSIS OF NORMAL AND TYHALASSEMIC DNAR01HL032259 · NHLBI · CHILDREN'S HOSPITAL BOSTON · PI ORKIN, STUART H · 1985 to 2022
$8.8M
Proteomics CoreU54DK110858 · NIDDK · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Anna E Beaudin, JAMES Eric COX · 2016 to 2026
$8.6M
A systems biology approach for dissecting enhancer hierarchyR01HG009663 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI YUAN, GUO-CHENG · 2017 to 2020
$2.8M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
NHGRI NIH HHS R01 HG009663NIDDK NIH HHS U54 DK106829NIDDK NIH HHS U54 DK110858NIH HHS S10 OD026880
6 · The paper itself

Abstract

backgroundSuper-enhancers are clusters of enhancer elements that play critical roles in the maintenance of cell identity. Current investigations on super-enhancers are centered on the established ones in static cell types. How super-enhancers are established during cell differentiation remains obscure.

resultsHere, by developing an unbiased approach to systematically analyze the evolving landscape of super-enhancers during cell differentiation in multiple lineages, we discover a general trend where super-enhancers emerge through three distinct temporal patterns: conserved, temporally hierarchical, and de novo. The three types of super-enhancers differ further in association patterns in target gene expression, functional enrichment, and 3D chromatin organization, suggesting they may represent distinct structural and functional subtypes. Furthermore, we dissect the enhancer repertoire within temporally hierarchical super-enhancers, and find enhancers that emerge at early and late stages are enriched with distinct transcription factors, suggesting that the temporal order of establishment of elements within super-enhancers may be directed by underlying DNA sequence. CRISPR-mediated deletion of individual enhancers in differentiated cells shows that both the early- and late-emerged enhancers are indispensable for target gene expression, while in undifferentiated cells early enhancers are involved in the regulation of target genes.

conclusionsIn summary, our analysis highlights the heterogeneity of the super-enhancer population and provides new insights to enhancer functions within super-enhancers.

Indexed as

Enhancer Elements, GeneticAnimalsCell DifferentiationChromatinHumansMiceChromatin3D genomeDifferentiationDynamicsEnhancerHierarchySuper-enhancers

Identifiers

PMID34526084
PMCPMC8442463

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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.