Evidence map›Paper›PMID 34508354›Full record

ArticleNucleic acids research2022

scAPAdb: a comprehensive database of alternative polyadenylation at single-cell resolution.

Sheng Zhu, Qiwei Lian, Wenbin Ye, Wei Qin, Zhe Wu, Guoli Ji, Xiaohui Wu

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

19 citing papers in PubMed, 23 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

7 authors at 2 institutions in 1 country.

Sheng ZhuPasteurien College, Soochow University, Suzhou, Jiangsu 215000, China.
Qiwei LianDepartment of Automation, Xiamen University, Xiamen, Fujian 361005, China.
Wenbin YeDepartment of Automation, Xiamen University, Xiamen, Fujian 361005, China.
Wei QinDepartment of Automation, Xiamen University, Xiamen, Fujian 361005, China.
Zhe WuDepartment of Automation, Xiamen University, Xiamen, Fujian 361005, China.
Guoli JiDepartment of Automation, Xiamen University, Xiamen, Fujian 361005, China.
Xiaohui WuPasteurien College, Soochow University, Suzhou, Jiangsu 215000, China.ORCID 0000-0003-0356-7785
Xiamen University · CNSoochow University · CN

Funding

National Natural Science Foundation of China 61673323
6 · The paper itself

Abstract

Alternative polyadenylation (APA) is a widespread regulatory mechanism of transcript diversification in eukaryotes, which is increasingly recognized as an important layer for eukaryotic gene expression. Recent studies based on single-cell RNA-seq (scRNA-seq) have revealed cell-to-cell heterogeneity in APA usage and APA dynamics across different cell types in various tissues, biological processes and diseases. However, currently available APA databases were all collected from bulk 3'-seq and/or RNA-seq data, and no existing database has provided APA information at single-cell resolution. Here, we present a user-friendly database called scAPAdb (http://www.bmibig.cn/scAPAdb), which provides a comprehensive and manually curated atlas of poly(A) sites, APA events and poly(A) signals at the single-cell level. Currently, scAPAdb collects APA information from > 360 scRNA-seq experiments, covering six species including human, mouse and several other plant species. scAPAdb also provides batch download of data, and users can query the database through a variety of keywords such as gene identifier, gene function and accession number. scAPAdb would be a valuable and extendable resource for the study of cell-to-cell heterogeneity in APA isoform usages and APA-mediated gene regulation at the single-cell level under diverse cell types, tissues and species.

Indexed as

3' Untranslated RegionsDatabases, GeneticPolyadenylationUser-Computer InterfaceAnimalsAtlases as TopicBinding SitesCell LineageChlamydomonas reinhardtiiEukaryotic CellsHumansInternetMiceMicroRNAsOrgan SpecificityPlants3' Untranslated RegionsMicroRNAsRNA-Binding ProteinsRNA, Messenger

Identifiers

PMID34508354
PMCPMC8728153
OpenAlexW3197352194

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.