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TEx-MST: tissue expression profiles of MANE select transcripts.

Kuo-Feng Tung1, Wen-Chang Lin1,2

  • 1Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan, R.O.C.

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|September 28, 2022
PubMed
Summary
This summary is machine-generated.

A new database, TEx-MST, provides tissue expression profiles for human protein-coding genes. It integrates data from the Matched Annotation from the NCBI and EMBL-EBI (MANE) select transcripts and the Genotype-Tissue Expression (GTEx) project.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Gene Expression Analysis

Background:

  • The Matched Annotation from the NCBI and EMBL-EBI (MANE) select project established unified representative transcripts for human protein-coding genes.
  • However, explicit tissue expression data for these MANE select transcripts were lacking, hindering functional interpretation.

Purpose of the Study:

  • To provide comprehensive tissue expression profiles for MANE select transcripts across various normal human tissues.
  • To create a user-friendly web database (TEx-MST) for exploring these expression patterns and their functional significance.

Main Methods:

  • Utilized the Genotype-Tissue Expression (GTEx) V9 dataset, based on long-read sequencing, for enhanced assessment of alternative splicing.
  • Integrated MANE select transcript data with GTEx expression data, cross-referencing with GENCODE biotype information.
  • Developed a web-based bioinformatics database (TEx-MST) with search and browsing functionalities.

Main Results:

  • A total of 18,083 genes showed overlap between MANE and GTEx datasets.
  • 13,245 MANE select transcripts were identified as top-ranked, highly expressed transcripts in the GTEx V9 dataset, confirming their dominant expression.
  • The TEx-MST database offers a visualized interface for normal tissue expression patterns of MANE select transcripts.

Conclusions:

  • The TEx-MST database successfully integrates MANE select transcript information with GTEx expression data, providing valuable insights into human gene expression.
  • This resource facilitates the study of molecular modulations and functional significance of MANE select transcripts in normal human tissues.
  • The database serves as a key resource for researchers investigating gene expression patterns and alternative splicing in human health and disease.