Evidence map›Paper›PMID 40186419›Full record

ArticleDatabase : the journal of biological databases and curation2025

mirTarCLASH: a comprehensive miRNA target database based on chimeric read-based experiments.

Tzu-Hsien Yang, Xiang-Wei Li, Yuan-Han Lee, Shang-Yi Lu, Wei-Sheng Wu, Heng-Chi Lee

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

6 authors.

Tzu-Hsien YangDepartment of Biomedical Engineering, National Cheng Kung University, No.1, University Road, Tainan 701, Taiwan.ORCID 0000-0001-9420-196X
Xiang-Wei LiDepartment of Electrical Engineering, National Cheng Kung University, No.1, University Road, Tainan 701, Taiwan.
Yuan-Han LeeDepartment of Electrical Engineering, National Cheng Kung University, No.1, University Road, Tainan 701, Taiwan.
Shang-Yi LuDepartment of Electrical Engineering, National Cheng Kung University, No.1, University Road, Tainan 701, Taiwan.
Wei-Sheng WuDepartment of Electrical Engineering, National Cheng Kung University, No.1, University Road, Tainan 701, Taiwan.ORCID 0000-0002-9919-9579
Heng-Chi LeeDepartment of Molecular Genetics and Cell Biology, University of Chicago, 920 E. 58th Street, Suite 1106, Chicago, IL 60637, USA.ORCID 0000-0001-8154-906X

Funding

piRNA-mediated genome surveillance of germline transcriptsR01GM132457 · NIGMS · UNIVERSITY OF CHICAGO · PI LEE, HENG-CHI · 2019 to 2023
$1.7M
Miin Wu School of Computing at National Cheng Kung UniversityMinistry of Education, TaiwanMinistry of Science and Technology Council of Taiwan MOST 110-2221-E-006-198-MY3 MOST 112-2221-E-006-129-MY2 NSTC 111-2221-E-006-151-MY3 NSTC 113-2221-E-006-135-MY3National Cheng Kung UniversityNIGMS NIH HHS R01 GM132457NIH HHS R01-GM132457
6 · The paper itself

Abstract

MicroRNAs (miRNAs) can target messenger RNAs to control their degradation or translation repression effects. Therefore, identifying the target and binding sites of different miRNAs is essential for understanding miRNA functions. To investigate these interactions, researchers have employed the cross-linking, ligation, and sequencing of hybrids (CLASH-seq) and similar CLASH-like approaches to generate chimeric reads formed by miRNAs and their targeting segments. These chimeric reads allow for the direct extraction of both the miRNA-target gene pairs and their corresponding binding sites. Nevertheless, these studies lack user-friendly platforms for researchers to investigate these interactions efficiently, thus hindering scientists' ability to explore miRNA functions. To address this gap, we developed mirTarCLASH, a comprehensive database that deposits 502 061/322 707/224 452 unique hybrid reads from human/mouse/worm miRNA chimeric read-based experiments. In mirTarCLASH, the chimera analysis algorithm ChiRA and two distinct binding site inference tools, RNAup and miRanda, were adopted to facilitate the exploration of miRNA-target pairs derived from CLASH-like experiments. Compared with existing similar repositories, mirTarCLASH further enables several confidence evaluation filters with visualization functions for the extracted results. The results can be further refined based on the key properties of the miRNA targeting sites, including read depths, numbers of supporting algorithms, and cross-linking-induced mutations, to enhance confidence levels. In addition, these miRNA-binding sites are visually represented through an integrated transcript atlas. Finally, we demonstrated the biological applicability of mirTarCLASH via the well-characterized example interaction between cel-let-7-5p and lin-41 in Caenorhabditis elegans, showcasing the potential of mirTarCLASH to provide novel insights for subsequent experimental research designs. The constructed mirTarCLASH database is freely available at https://cosbi.ee.ncku.edu.tw/MirTarClash. Database URL: https://cosbi.ee.ncku.edu.tw/MirTarClash.

Indexed as

Databases, GeneticDatabases, Nucleic AcidMicroRNAsRNA, MessengerAnimalsBinding SitesCaenorhabditis elegansHumansMiceMicroRNAsRNA, Messenger

Identifiers

PMID40186419
PMCPMC11971479

What OpenQuestion holds

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LicenceCC BY
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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.