Evidence map›Paper›PMID 36382196›Full record

ArticleComputational and structural biotechnology journal2022

Dynamic alternative polyadenylation during iPSC differentiation into cardiomyocytes.

Yanbo Yang, Xiaohong Wu, Wenqian Yang, Weiwei Jin, Dongyang Wang, Jianye Yang, Guanghui Jiang, Wen Zhang, Xiaohui Niu, Jing Gong

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. RNA binding proteins in cardiovascular development and disease.Current topics in developmental biology · 2024
    Article
  4. Review
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

10 authors at 1 institution in 1 country.

Yanbo YangHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Xiaohong WuHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Wenqian YangHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Weiwei JinHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Dongyang WangHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Jianye YangHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Guanghui JiangHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Wen ZhangHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Xiaohui NiuHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Jing GongHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Huazhong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alternative polyadenylation (APA) is an important post-transcription regulatory mechanism widely occurring in eukaryotes and has been associated with special traits/diseases by several studies. However, the dynamic roles and patterns of APA in cell differentiation remain largely unknown. Here, we systematically characterized the APA profiles during the differentiation of induced pluripotent stem cells (iPSCs) to cardiomyocytes by the previously published RNA-seq data across 16 time points. We identified 950 differential APA events and found five dynamic APA patterns with fuzzy c-means clustering analysis. Among them, 3'UTR progressive lengthening is the main APA pattern over time, the genes of which are enriched in cell cycle and mRNA metabolic process pathways. By constructing the linear mixed-effects model, we also indicated that

Indexed as

Alternative polyadenylationAPA, Alternative polyadenylationCardiomyocyteCell differentiationDynamic regulationiPSCs, induced pluripotent stem cellsmiRNA

Identifiers

PMID36382196
PMCPMC9636549
OpenAlexW4307240322

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.