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Related Concept Videos

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
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Proteomics01:33

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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: Jul 6, 2025

Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data
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ProtPipe: A Multifunctional Data Analysis Pipeline for Proteomics and Peptidomics.

Ziyi Li, Cory A Weller, Syed Shah

    Biorxiv : the Preprint Server for Biology
    |January 3, 2024
    PubMed
    Summary

    Mass spectrometry (MS) data analysis is complex. ProtPipe is a new open-source software tool that automates high-throughput proteomics and peptidomics data processing for better biological insights.

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    Area of Science:

    • Proteomics and Systems Biology
    • Biomedical Applications
    • Computational Biology

    Background:

    • Mass spectrometry (MS) is crucial for protein identification and characterization in diverse fields like personalized medicine and systems biology.
    • Analyzing complex MS data, including protein and peptide identification, quantification, and functional exploration, is a critical bottleneck.
    • Current MS data analysis workflows can be intricate and time-consuming, hindering rapid biological discovery.

    Approach:

    • Developed ProtPipe, an open-source software pipeline to automate and streamline high-throughput proteomics and peptidomics data analysis.
    • ProtPipe integrates data quality control, sample filtering, normalization, and comprehensive downstream analyses.
    • The software provides tools for differential abundance analysis, pathway enrichment, protein-protein interaction analysis, and MHC1-peptide binding affinity prediction.

    Key Points:

    • ProtPipe automates critical steps in MS data processing, from quality control to advanced downstream analyses.
    • The pipeline supports identification of differential abundance proteins and peptides, pathway enrichment, and protein-protein interaction networks.
    • It generates annotated tables and visualizations for clear interpretation of results across experimental conditions.

    Conclusions:

    • ProtPipe offers a robust and efficient solution for analyzing complex proteomics and peptidomics datasets.
    • The open-source nature and web interface enhance accessibility for researchers in biomedical and systems biology fields.
    • This tool facilitates deeper understanding of protein function, cellular signaling, and disease mechanisms through automated MS data analysis.