Evidence map›Paper›PMID 32773582›Full record

ArticleJournal of the Chinese Medical Association : JCMA2021

Using multiple-steps bioinformatic analysis to predict the potential microRNA targets by cardiogenic HoxA11.

Chien-Ying Wang, Szu-Yuan Liu, Fu-Hsuan Kuo, Heng-Fu Lin, Chao-Yu Liu, Yi-Ping Yang, Fu-Ting Tsai, Wei-Chun Huang, Yih-Wen Tarng, Hsin-Chi Lin and 3 more

Open access · hybridAbstract read
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In one paragraph

Article in Journal of the Chinese Medical Association : JCMA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 55% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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 10 institutions in 1 country.

Chien-Ying WangSchool of Medicine, National Yang-Ming University, Taipei, Taiwan, ROC.
Szu-Yuan LiuNeurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan, ROC.
Fu-Hsuan KuoNeurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan, ROC.
Heng-Fu LinDivision of Thoracic Surgery, Department of Surgery, Far Eastern Memorial Hospital, New Taipei City, Taiwan, ROC.
Chao-Yu LiuDivision of Traumatology, Department of Surgery, Far Eastern Memorial Hospital, New Taipei City, Taiwan, ROC.
Yi-Ping YangSchool of Medicine, National Yang-Ming University, Taipei, Taiwan, ROC.
Fu-Ting TsaiSchool of Medicine, National Yang-Ming University, Taipei, Taiwan, ROC.
Wei-Chun HuangSchool of Medicine, National Yang-Ming University, Taipei, Taiwan, ROC.
Yih-Wen TarngDepartment of Orthopedics, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, ROC.
Hsin-Chi LinDepartment of General Internal Medicine, Cheng-Hsin General Hospital, Taipei, Taiwan, ROC.
Kai-Hsi LuDepartment of Medical Research and Education, Cheng-Hsin General Hospital, Taipei, Taiwan, ROC.
Wen-Chung YuSchool of Medicine, National Yang-Ming University, Taipei, Taiwan, ROC.
Meng-Yin YangNeurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan, ROC.
Cheng Hsin General Hospital · TWFar Eastern Memorial Hospital · TWNational Yang Ming Chiao Tung University · TWCentral Taiwan University of Science and Technology · TWKaohsiung Veterans General Hospital · TWNational Defense Medical Center · TWNational Taipei University · TWTaipei Hospital · TWTaipei Veterans General Hospital · TWTri-Service General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn this study, our major aim is to using multiple-steps bioinformatic analysis to predict cardiogenic genes with targeting mRNA profiling for predicting cardiogenic HoxA11 gene.

methodsWe first analyzed the microarray data with bioinformatic measurement, including combining with panel module 1 (mouse embryonic stem cells), panel module 2 (mouse induced pluripotent stem cells), and panel module 3 (gene list form literature of heart development). A literature-based comparison of the two microarrays and a software-based (Targetscan program, www.targetscan.org) comparative analysis of the two datasets. Furthermore, we select the common central pathways and potential candidate genes involved in the cardiomyocyte-lineaged differentiation and development.

resultsSchematic presentation of a putative miR181a target site in Hox-A11 3'UTR. The bioinformatic result showed that potential interacted cardiogenic targets of Tbx5, Tbx20, Mal2c, Nkx2.5, cTNT, Cx43, MHC, and MCK in different treatment groups of pluripotent stem cells by using a literature-based comparison of the two microarrays and a software-based gene-lineage system.

conclusionOur findings support that mir181a is an up-stream regulating microRNA to target the 3'UTR of HoxA11 mRNA during the process of cardiomyocyte differentiation.

Indexed as

AnimalsComputational BiologyConnexin 43Homeodomain ProteinsMiceMice, Inbred C57BLMicroRNAsConnexin 43Homeodomain ProteinsHoxa11 protein, mouseMicroRNAsmirn181 microRNA, mouse

Identifiers

PMID32773582
PMCPMC12966092
OpenAlexW3048416520

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.