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Updated: Feb 19, 2026

Polysome Fractionation and Analysis of Mammalian Translatomes on a Genome-wide Scale
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TranslatomeDB: a comprehensive database and cloud-based analysis platform for translatome sequencing data.

Wanting Liu1, Lunping Xiang2, Tingkai Zheng1

  • 1Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, Jinan University, Guangzhou 510632, China.

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|November 7, 2017
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Summary

TranslatomeDB is a new database that collects and analyzes translatome sequencing data. It offers tools for differential gene expression and translation efficiency analysis, simplifying proteome research.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Translation links the transcriptome and proteome, playing a crucial regulatory role.
  • Ribosome profiling (Ribo-seq) and sequencing of translating mRNA (RNC-seq) are key methods for translatome investigation.

Purpose of the Study:

  • To establish TranslatomeDB, a comprehensive database for translatome sequencing data.
  • To provide integrated analysis tools for published and user-generated translatome data.

Main Methods:

  • Collected 2453 Ribo-seq, 10 RNC-seq, and 1394 mRNA-seq datasets across 13 species.
  • Developed a unified analysis pipeline using FANSe3 and edgeR for differential gene expression and translation efficiency.
  • Integrated differential gene expression analysis, translation ratios, elongation velocity index, and translational efficiency calculations.

Main Results:

  • TranslatomeDB currently houses extensive translatome and transcriptome data.
  • The database enables comparative analysis between datasets at both transcriptome and translatome levels.
  • Users can upload and analyze their own data using the same standardized pipeline.

Conclusions:

  • TranslatomeDB serves as a valuable, centralized platform for translatome and proteome research.
  • It simplifies complex data analysis, eliminating the need for local computational resources.
  • Facilitates deeper understanding of gene expression regulation at the translational level.