Evidence map›Paper›PMID 36653336›Full record

ArticleCell death discovery2023

Dynamic chromatin landscape encodes programs for perinatal transition of cardiomyocytes.

Jing Zhang, Zhaohui Ouyang, Limei Xia, Qi Wang, Feng Zheng, Kun Xu, Yuexian Xing, Ke Wei, Shaolin Shi, Chaojun Li and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cell death discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 3 citations in OpenAlex.

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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 at 5 institutions in 1 country.

Jing Zhang *State Key Laboratory of Pharmaceutical Biotechnology, Medical School, Nanjing University, 210093, Nanjing, Jiangsu, China.
Zhaohui Ouyang *Institute for Regenerative Medicine, Shanghai East Hospital, Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, 200092, Shanghai, China.
Limei XiaState Key Laboratory of Pharmaceutical Biotechnology, Medical School, Nanjing University, 210093, Nanjing, Jiangsu, China.
Qi WangState Key Laboratory of Pharmaceutical Biotechnology, Medical School, Nanjing University, 210093, Nanjing, Jiangsu, China.
Feng ZhengState Key Laboratory of Pharmaceutical Biotechnology, Medical School, Nanjing University, 210093, Nanjing, Jiangsu, China.
Kun XuState Key Laboratory of Pharmaceutical Biotechnology, Medical School, Nanjing University, 210093, Nanjing, Jiangsu, China.
Yuexian XingState Key Laboratory of Pharmaceutical Biotechnology, Medical School, Nanjing University, 210093, Nanjing, Jiangsu, China.
Ke WeiInstitute for Regenerative Medicine, Shanghai East Hospital, Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, 200092, Shanghai, China. kewei@tongji.edu.cn.ORCID http://orcid.org/0000-0001-8542-2146
Shaolin ShiState Key Laboratory of Pharmaceutical Biotechnology, Medical School, Nanjing University, 210093, Nanjing, Jiangsu, China. shaolinshi1001@yahoo.com.ORCID http://orcid.org/0000-0003-2297-6496
Chaojun LiState Key Laboratory of Reproductive Medicine and China International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Gusu School, Nanjing Medical University, 211166, Nanjing, China. lichaojun@njmu.edu.cn.
Jingping YangState Key Laboratory of Pharmaceutical Biotechnology, Medical School, Nanjing University, 210093, Nanjing, Jiangsu, China. jpyang@nju.edu.cn.ORCID http://orcid.org/0000-0001-9655-1162
Nanjing University · CNChina Pharmaceutical University · CNNanjing Medical University · CNShanghai East Hospital · CNTongji University · CN

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2018YFA0800104,2017YFA0105601National Natural Science Foundation of China (National Science Foundation of China) 32070823,31771613National Natural Science Foundation of China (National Science Foundation of China) 92168205
6 · The paper itself

Abstract

The perinatal period occurring immediately before and after birth is critical for cardiomyocytes because they must change rapidly to accommodate the switch from fetal to neonatal circulation after birth. This transition is a well-orchestrated process, and any perturbation leads to unhealthy cardiomyocytes and heart disease. Despite its importance, little is known about how this transition is regulated and controlled. Here, by mapping the genome-wide chromatin accessibility, transcription-centered long-range chromatin interactions and gene expression in cardiomyocytes undergoing perinatal transition, we discovered two key transcription factors, MEF2 and AP1, that are crucial for driving the phenotypic changes within the perinatal window. Thousands of dynamic regulatory elements were found in perinatal cardiomyocytes and we show these elements mediated the transcriptional reprogramming through an elegant chromatin high-order architecture. We recompiled transcriptional program of induced stem cell-derived cardiomyocytes according to our discovered network, and they showed adult cardiomyocyte-like electrophysiological expression. Our work provides a comprehensive regulatory resource of cardiomyocytes perinatal reprogramming, and aids the gap-filling of cardiac translational research.

Identifiers

PMID36653336
PMCPMC9849264
OpenAlexW4317213634

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.