Evidence map›Paper›PMID 29897582›Full record

ArticleNucleic acids research2018

pirScan: a webserver to predict piRNA targeting sites and to avoid transgene silencing in C. elegans.

Wei-Sheng Wu, Wei-Che Huang, Jordan S Brown, Donglei Zhang, Xiaoyan Song, Hao Chen, Shikui Tu, Zhiping Weng, Heng-Chi Lee

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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

32 citing papers in PubMed.

  1. DivergenteLife · 2026
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  9. Analysis of crosslinking sites suggestsbioRxiv : the preprint server for biology · 2025
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  12. Review
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  15. Web Services for RNA-RNA Interaction Prediction.Methods in molecular biology (Clifton, N.J.) · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Identification of piRNA disease associations using deep learning.Computational and structural biotechnology journal · 2022
    Article
  20. 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

9 authors.

Wei-Sheng WuDepartment of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan.
Wei-Che HuangDepartment of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan.
Jordan S BrownDepartment of Molecular Genetics and Cell Biology, University of Chicago, Chicago, IL 60637, USA.
Donglei ZhangDepartment of Molecular Genetics and Cell Biology, University of Chicago, Chicago, IL 60637, USA.
Xiaoyan SongDepartment of Clinical Laboratory, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Hao ChenProgram in Bioinformatics and Integrative Biology, University of Mass. Medical School, Worcester, MA 01605, USA.
Shikui TuProgram in Bioinformatics and Integrative Biology, University of Mass. Medical School, Worcester, MA 01605, USA.
Zhiping WengProgram in Bioinformatics and Integrative Biology, University of Mass. Medical School, Worcester, MA 01605, USA.
Heng-Chi LeeDepartment of Molecular Genetics and Cell Biology, University of Chicago, Chicago, IL 60637, USA.

Funding

PREDOCTORAL TRAINING IN GENETICS AND REGULATIONT32GM007197 · NIGMS · UNIVERSITY OF CHICAGO · PI ROTHMAN-DENES, LUCIA B. B · 1985 to 2020
$17.0M
Mechanism of piRNA-mediated recognition and silencing of foreign genesR00GM108866 · NIGMS · UNIVERSITY OF CHICAGO · PI LEE, HENG-CHI · 2016 to 2018
$747k
NIGMS NIH HHS R00 GM108866NIGMS NIH HHS T32 GM007197
6 · The paper itself

Abstract

pirScan is a web-based tool for identifying C. elegans piRNA-targeting sites within a given mRNA or spliced DNA sequence. The purpose of our tool is to allow C. elegans researchers to predict piRNA targeting sites and to avoid the persistent germline silencing of transgenes that has rendered many constructs unusable. pirScan fulfills this purpose by first enumerating the predicted piRNA-targeting sites present in an input sequence. This prediction can be exported in a tabular or graphical format. Subsequently, pirScan suggests silent mutations that can be introduced to the input sequence that would allow the modified transgene to avoid piRNA targeting. The user can customize the piRNA targeting stringency and the silent mutations that he/she wants to introduce into the sequence. The modified sequences can be re-submitted to be certain that any previously present piRNA-targeting sites are now absent and no new piRNA-targeting sites are accidentally generated. This revised sequence can finally be downloaded as a text file and/or visualized in a graphical format. pirScan is freely available for academic use at http://cosbi4.ee.ncku.edu.tw/pirScan/.

Indexed as

InternetSoftwareAnimalsCaenorhabditis elegansComputational BiologyRNA, Small InterferingRNA, Small Interfering

Identifiers

PMID29897582
PMCPMC6030828

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.