Evidence map›Paper›PMID 33677093›Full record

ArticleMolecular therapy : the journal of the American Society of Gene Therapy2021

The cardiac translational landscape reveals that micropeptides are new players involved in cardiomyocyte hypertrophy.

Youchen Yan, Rong Tang, Bin Li, Liangping Cheng, Shangmei Ye, Tiqun Yang, Yan-Chuang Han, Chen Liu, Yugang Dong, Liang-Hu Qu and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular therapy : the journal of the American Society of Gene Therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

35 citing papers in PubMed, 59 citations in OpenAlex.

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  17. Loss of NAT10 Reduces the Translation ofJournal of the American Heart Association · 2024
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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

13 authors at 3 institutions in 1 country.

Youchen YanDepartment of Cardiology, Center for Translational Medicine, Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China; NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University, Guangzhou 510080, China.
Rong TangDepartment of Cardiology, Center for Translational Medicine, Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China; NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University, Guangzhou 510080, China.
Bin LiKey Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510275, China.
Liangping ChengDepartment of Cardiology, Center for Translational Medicine, Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China; NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University, Guangzhou 510080, China.
Shangmei YeDepartment of Cardiology, Center for Translational Medicine, Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China; NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University, Guangzhou 510080, China.
Tiqun YangDepartment of Cardiology, Center for Translational Medicine, Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China; NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University, Guangzhou 510080, China.
Yan-Chuang HanDepartment of Cardiology, Center for Translational Medicine, Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China; NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University, Guangzhou 510080, China.
Chen LiuDepartment of Cardiology, Center for Translational Medicine, Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China; NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University, Guangzhou 510080, China.
Yugang DongDepartment of Cardiology, Center for Translational Medicine, Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China; NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University, Guangzhou 510080, China.
Liang-Hu QuKey Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510275, China.
Kathy O LuiDepartment of Chemical Pathology, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR 999077, China.
Jian-Hua YangKey Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510275, China. Electronic address: yangjh7@mail.sysu.edu.cn.
Zhan-Peng HuangDepartment of Cardiology, Center for Translational Medicine, Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China; NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University, Guangzhou 510080, China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Guangzhou 510080, China. Electronic address: huangzhp27@mail.sysu.edu.cn.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNChinese University of Hong Kong · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertrophic growth of cardiomyocytes is one of the major compensatory responses in the heart after physiological or pathological stimulation. Protein synthesis enhancement, which is mediated by the translation of messenger RNAs, is one of the main features of cardiomyocyte hypertrophy. Although the transcriptome shift caused by cardiac hypertrophy induced by different stimuli has been extensively investigated, translatome dynamics in this cellular process has been less studied. Here, we generated a nucleotide-resolution translatome as well as transcriptome data from isolated primary cardiomyocytes undergoing hypertrophy. More than 10,000 open reading frames (ORFs) were detected from the deep sequencing of ribosome-protected fragments (Ribo-seq), which orchestrated the shift of the translatome in hypertrophied cardiomyocytes. Our data suggest that rather than increase the translational rate of ribosomes, the increased efficiency of protein synthesis in cardiomyocyte hypertrophy was attributable to an increased quantity of ribosomes. In addition, more than 100 uncharacterized short ORFs (sORFs) were detected in long noncoding RNA genes from Ribo-seq with potential of micropeptide coding. In a random test of 15 candidates, the coding potential of 11 sORFs was experimentally supported. Three micropeptides were identified to regulate cardiomyocyte hypertrophy by modulating the activities of oxidative phosphorylation, the calcium signaling pathway, and the mitogen-activated protein kinase (MAPK) pathway. Our study provides a genome-wide overview of the translational controls behind cardiomyocyte hypertrophy and demonstrates an unrecognized role of micropeptides in cardiomyocyte biology.

Indexed as

Open Reading FramesProtein BiosynthesisAnimalsCalcium SignalingCardiomegalyComputational BiologyGenomeMitogen-Activated Protein KinasesMyocytes, CardiacOxidative PhosphorylationPeptide FragmentsRatsRats, Sprague-DawleyRibosomesRNA, Long NoncodingRNA, MessengerMitogen-Activated Protein KinasesPeptide FragmentsRNA, Long NoncodingRNA, Messengercardiac hypertrophymicropeptidenoncoding RNARibo-seqshort open reading frametranslational landscape

Identifiers

PMID33677093
PMCPMC8261087
OpenAlexW3134617459

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.