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A tool for analyzing and visualizing ribo-seq data at the isoform level.
Wu, Wei-Sheng; Tsao, Yi-Hong; Shiue, Sheng-Cian; Chen, Ting-Yu; Tseng, Yan-Yuan; Tseng, Joseph T.
Afiliación
  • Wu WS; Department of Electrical Engineering, National Cheng Kung University, Tainan, 701, Taiwan. wessonwu@mail.ncku.edu.tw.
  • Tsao YH; Department of Biotechnology and Bioindustry Sciences, National Cheng Kung University, Tainan, 701, Taiwan.
  • Shiue SC; Department of Electrical Engineering, National Cheng Kung University, Tainan, 701, Taiwan.
  • Chen TY; Department of Electrical Engineering, National Cheng Kung University, Tainan, 701, Taiwan.
  • Tseng YY; Center for Molecular Medicine and Genetics, School of Medicine, Wayne State University, Detroit, MI, 48201, USA.
  • Tseng JT; Department of Biotechnology and Bioindustry Sciences, National Cheng Kung University, Tainan, 701, Taiwan. tctseng@mail.ncku.edu.tw.
BMC Bioinformatics ; 22(Suppl 10): 271, 2021 May 25.
Article en En | MEDLINE | ID: mdl-34058988
ABSTRACT

BACKGROUND:

Translational 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.

RESULTS:

To 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.

CONCLUSIONS:

In 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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Ribosomas / Biosíntesis de Proteínas Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Ribosomas / Biosíntesis de Proteínas Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article