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Published on: April 12, 2015
NMDtxDB: data-driven identification and annotation of human NMD target transcripts.
Thiago Britto-Borges1,2, Niels H Gehring3,4, Volker Boehm3,4
1Section of Bioinformatics and Systems Cardiology, Department of Internal Medicine III and Klaus Tschira Institute for Integrative Computational Cardiology, Heidelberg University Hospital, 69120 Heidelberg, Germany.
This study introduces a data-driven approach to identify nonsense-mediated RNA decay (NMD) target transcripts. The NMDtxDB database provides a comprehensive resource for studying NMD-sensitive RNAs and their regulation.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- The nonsense-mediated RNA decay (NMD) pathway is essential for mRNA quality control.
- Current NMD substrate RNA annotations rely on general rules rather than empirical data.
Purpose of the Study:
- To develop a data-driven workflow for identifying NMD target transcripts.
- To create a comprehensive database (NMDtxDB) of NMD-sensitive transcripts.
Main Methods:
- Utilized Nanopore and Illumina sequencing for transcriptome assembly.
- Integrated coding sequence information from Ensembl, Gencode, and OpenProt for enhanced annotation.
- Performed knockdowns/knockout of SMG5, SMG6, and SMG7 genes in four cell lines.
Main Results:
- Assembled 302,889 transcripts, with 24% not present in Ensembl annotations.
- Identified 48,213 transcripts containing premature stop codons.
- Found 6433 transcripts significantly upregulated in NMD-deficient versus NMD-active cells.
Conclusions:
- The NMDtxDB database offers an in-depth view of NMD-sensitive transcripts.
- The study provides an open-source analysis workflow and web application for NMD research.
- This work enhances the understanding and annotation of NMD targets.
