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Proteomics

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...

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Related Experiment Video

Updated: Aug 23, 2025

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

Published on: January 10, 2025

Enhanced Proteomic Data Analysis with MetaMorpheus.

Rachel M Miller¹, Robert J Millikin¹, Zach Rolfs¹

¹University of Wisconsin-Madison, Department of Chemistry, Madison, WI, USA.

Methods in Molecular Biology (Clifton, N.J.)

|October 29, 2022

Summary

This summary is machine-generated.

MetaMorpheus is a free software for comprehensive proteomic data analysis. It enhances information retrieval from mass spectrometry data using advanced algorithms and visualization tools.

Keywords:

Bottom-up Crosslink Database search Glycopeptides Open-source Post-translational modification discovery Proteomics Tandem mass spectrometry

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Last Updated: Aug 23, 2025

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

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

Published on: November 15, 2017

Area of Science:

Proteomics
Bioinformatics
Computational Biology

Background:

Bottom-up proteomics involves digesting proteins into peptides for mass spectrometric analysis.
Analyzing resulting spectra is crucial for identifying peptides and inferring protein presence.
Existing software may not fully maximize information extraction from complex proteomic datasets.

Purpose of the Study:

To introduce MetaMorpheus, a free and open-source software for comprehensive proteomic data analysis.
To detail the capabilities of MetaMorpheus in maximizing information from proteomic data.
To provide a protocol for using MetaMorpheus and customizing its workflows.

Main Methods:

Utilizes mass calibration for improved accuracy.
Incorporates post-translational modification discovery.
Employs multiple search algorithms for diverse experimental types (traditional, crosslinking, glycoproteomics).
Supports isotope-based or label-free quantification.
Features multi-protease protein inference.
Includes spectral annotation and data visualization.

Main Results:

MetaMorpheus offers a comprehensive suite of tools for proteomic data analysis.
The software is designed to maximize information extraction through various analytical strategies.
Customizable workflows allow users to tailor analyses to specific research needs.

Conclusions:

MetaMorpheus provides a powerful, versatile, and accessible platform for proteomic data analysis.
The software facilitates deeper insights into proteomic samples through advanced features.
Detailed protocols enable effective utilization and customization for researchers.