Evidence map›Paper›PMID 34058988›Full record

ArticleBMC bioinformatics2021

A tool for analyzing and visualizing ribo-seq data at the isoform level.

Wei-Sheng Wu, Yi-Hong Tsao, Sheng-Cian Shiue, Ting-Yu Chen, Yan-Yuan Tseng, Joseph T Tseng

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2021. 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
0.2field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. A review of Ribosome profiling and tools used in Ribo-seq data analysis.Computational and structural biotechnology journal · 2024
    Review
  2. Review
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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 at 2 institutions in 2 countries.

Wei-Sheng WuDepartment of Electrical Engineering, National Cheng Kung University, Tainan, 701, Taiwan. wessonwu@mail.ncku.edu.tw.
Yi-Hong TsaoDepartment of Biotechnology and Bioindustry Sciences, National Cheng Kung University, Tainan, 701, Taiwan.
Sheng-Cian ShiueDepartment of Electrical Engineering, National Cheng Kung University, Tainan, 701, Taiwan.
Ting-Yu ChenDepartment of Electrical Engineering, National Cheng Kung University, Tainan, 701, Taiwan.
Yan-Yuan TsengCenter for Molecular Medicine and Genetics, School of Medicine, Wayne State University, Detroit, MI, 48201, USA.
Joseph T TsengDepartment of Biotechnology and Bioindustry Sciences, National Cheng Kung University, Tainan, 701, Taiwan. tctseng@mail.ncku.edu.tw.
National Cheng Kung University · TWWayne State University · US

Funding

Ministry of Science and Technology, Taiwan 107-2221-E-006-225-MY3Ministry of Science and Technology, Taiwan 108-2628-E-006-004-MY3
6 · The paper itself

Abstract

backgroundTranslational regulation is one important aspect of gene expression regulation. Dysregulation of translation results in abnormal cell physiology and leads to diseases. Ribosome profiling (RP), also called ribo-seq, is a powerful experimental technique to study translational regulation. It can capture a snapshot of translation by deep sequencing of ribosome-protected mRNA fragments. Many ribosome profiling data processing tools have been developed. However, almost all tools analyze ribosome profiling data at the gene level. Since different isoforms of a gene may produce different proteins with distinct biological functions, it is advantageous to analyze ribosome profiling data at the isoform level. To meet this need, previously we developed a pipeline to analyze 610 public human ribosome profiling data at the isoform level and constructed HRPDviewer database.

resultsTo allow other researchers to use our pipeline as well, here we implement our pipeline as an easy-to-use software tool called RPiso. Compared to Ribomap (a widely used tool which provides isoform-level ribosome profiling analyses), our RPiso (1) estimates isoform abundance more accurately, (2) supports analyses on more species, and (3) provides a web-based viewer for interactively visualizing ribosome profiling data on the selected mRNA isoforms.

conclusionsIn this study, we developed RPiso software tool ( http://cosbi7.ee.ncku.edu.tw/RPiso/ ) to provide isoform-level ribosome profiling analyses. RPiso is very easy to install and execute. RPiso also provides a web-based viewer for interactively visualizing ribosome profiling data on the selected mRNA isoforms. We believe that RPiso is a useful tool for researchers to analyze and visualize their own ribosome profiling data at the isoform level.

Indexed as

Protein BiosynthesisRibosomesHumansProtein IsoformsRNA, MessengerSoftwareProtein IsoformsRNA, MessengerIsoform-levelPipelineRibo-seqRibosome profilingSoftwareToolVisualization

Identifiers

PMID34058988
PMCPMC8323483
OpenAlexW3164628811

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.