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Related Experiment Video

Updated: Aug 12, 2025

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

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Published on: November 15, 2017

Integrative proteogenomics using ProteomeGenerator2.

Nathaniel Kwok, Zita Aretz, Sumiko Takao

Biorxiv : the Preprint Server for Biology

|January 30, 2023

Summary

This summary is machine-generated.

ProteomeGenerator2 (PG2) expands proteomic analysis by integrating genomic and transcriptomic data to identify non-canonical protein variants. This advance enables more comprehensive studies of human biology and disease.

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Area of Science:

Genomics
Proteomics
Bioinformatics

Background:

Advances in sequencing and mass spectrometry enable large-scale biological studies.
Current proteomic studies are limited by reliance on canonical protein sequences in databases.

Approach:

Developed ProteomeGenerator2 (PG2), an extension of the ProteomeGenerator framework.
PG2 integrates genome and transcriptome sequencing data to identify protein variants.
Incorporates amino acid substitutions, insertions, deletions, non-canonical reading frames, and alternative exons.

Key Points:

PG2 enables the analysis of non-canonical protein sequences beyond standard databases.
Demonstrated utility with synthetic data and analysis of human leukemia cells.
Facilitates integration with existing and emerging sequencing and mass spectrometry analysis tools.

Conclusions:

PG2 significantly enhances the scope of proteomic analysis by accounting for genetic and transcriptomic variation.
This tool supports more comprehensive population-scale studies of biology and disease.