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Related Concept Videos

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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...
Proteomics01:33

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 proteomics...

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Related Experiment Video

Updated: Jun 23, 2026

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
14:51

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

Published on: November 13, 2021

SPOTTER: Automated Tissue-Barcoding Platform for Spatial Proteomics and Phosphoproteomics.

Yuanwei Xu, Hyeon-Cheol Park, Jason Li

    Biorxiv : the Preprint Server for Biology
    |June 22, 2026
    PubMed
    Summary
    This summary is machine-generated.

    SPOTTER is a robotic platform for automated spatial proteomics, enabling high-resolution mapping of proteins and phosphoproteins directly on intact tissue sections. This technology enhances scalability and throughput for spatial omics research.

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

    Published on: November 15, 2017

    Related Experiment Videos

    Last Updated: Jun 23, 2026

    Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
    14:51

    Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

    Published on: November 13, 2021

    Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
    09:19

    Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

    Published on: July 6, 2022

    Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
    10:37

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

    Published on: November 15, 2017

    Area of Science:

    • Proteomics
    • Biotechnology
    • Molecular Biology

    Background:

    • Spatial proteomics links molecular states to tissue architecture.
    • Current methods face scalability and throughput limitations.
    • Existing workflows are labor-intensive and low-plex.

    Purpose of the Study:

    • Introduce SPOTTER, a robotic platform for automated spatial proteomics.
    • Enable micron-scale spatial barcoding on intact tissue sections.
    • Facilitate whole-tissue proteome and phosphoproteome mapping.

    Main Methods:

    • Developed a customizable robotic platform (SPOTTER).
    • Implemented automated, in situ protein labeling for spatial barcoding.
    • Utilized high-resolution LC-MS/MS for deep proteome and phosphoproteome analysis.

    Main Results:

    • Achieved automated, micron-scale spatial barcoding on intact tissues.
    • Enabled unbiased whole-tissue proteome mapping.
    • Performed the first spatial phosphoproteome profiling from intact sections.
    • Demonstrated deep proteome and phosphoproteome coverage with preserved histology.

    Conclusions:

    • SPOTTER offers a scalable solution for high-plex spatial proteomics.
    • This platform overcomes limitations of previous spatial omics techniques.
    • SPOTTER facilitates the resolution of spatially distinct molecular regions within tissues.