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Proteogenomics: Recycling Public Data to Improve Genome Annotations.

A McAfee¹, L J Foster¹

¹Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada.

Methods in Enzymology

|January 23, 2017

Summary

Accurate gene annotation is crucial for understanding newly sequenced genomes. This study introduces a proteogenomics approach, integrating genome, transcriptome, and proteome data for precise eukaryotic gene annotation.

Keywords:

Annotation Gene models Mass spectrometry Proteogenomics Proteomics RNA-seq

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Area of Science:

Genomics
Proteomics
Bioinformatics

Background:

Massively parallel sequencing accelerates genome discovery but requires accurate gene annotation.
Current gene prediction algorithms need refinement, especially for splice isoforms.
Empirical methods are essential for verifying bioinformatic gene predictions.

Purpose of the Study:

To describe a proteogenomics procedure for annotating eukaryotic genetic elements.
To integrate genome, transcriptome, and proteome data for comprehensive annotation.
To assist in annotating newly sequenced genomes and refining existing annotations.

Main Methods:

Utilizing a proteogenomics approach combining genome, transcriptome (RNA-seq), and proteome (mass spectrometry) data.
Employing RNA-seq to confirm exon-exon boundaries and transcript termini.
Using mass spectrometry for definitive proof of translation, exon expression, and protein modifications.

Main Results:

Demonstrates a procedure for accurate gene annotation in eukaryotes.
Highlights the potential of RNA-seq and mass spectrometry to identify novel genes.
Provides a framework for integrating diverse biological data for gene annotation.

Conclusions:

Proteogenomics offers a powerful strategy for precise gene annotation.
The described procedure enhances the accuracy of gene models and functional annotation.
This approach is vital for advancing genomic annotation in various species.