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Related Concept Videos

Proteomics01:33

Proteomics

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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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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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Updated: Sep 9, 2025

TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis
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TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis

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TDEase: An Open-Source Data Visualization Software Framework for Targeted Proteoform Characterization by Top-Down

Yucheng Liao1, Rui Qian2, Mengting Zhang2

  • 1Center For Machine Learning Research, Peking University, Beijing, China.

Proteomics
|August 29, 2025
PubMed
Summary
This summary is machine-generated.

TDEase streamlines top-down proteomics (TDP) analysis with integrated data processing and interactive visualization. This open-source framework simplifies proteoform characterization for researchers.

Keywords:
data processing and analysismass spectrometrypost‐translational modification analysistop‐down proteomics

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Large-scale Top-down Proteomics Using Capillary Zone Electrophoresis Tandem Mass Spectrometry

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Area of Science:

  • Proteomics
  • Biochemistry
  • Computational Biology

Background:

  • Top-down proteomics (TDP) enables intact protein and proteoform characterization.
  • Existing TDP software often presents fragmented workflows and limited interactive visualization.
  • Non-expert users face challenges with steep learning curves in current TDP tools.

Purpose of the Study:

  • To introduce TDEase, an integrated analytical framework to streamline TDP data interpretation.
  • To enhance TDP data analysis through automated processing and interactive visualization.
  • To focus on targeted proteoform characterization, initially integrating with the TopPIC suite.

Main Methods:

  • TDEase employs a modular architecture with TDPipe for multi-process data processing and TDVis for interactive visualization.
  • TDPipe automates mainstream TDP algorithms via a user-configurable pipeline for reproducible processing.
  • TDVis generates dynamic dashboards for multidimensional data exploration, including feature maps and PTM analysis.

Main Results:

  • Demonstrated TDEase capabilities in proteoform identification and comparative analysis using histone datasets.
  • TDPipe ensures seamless and reproducible data processing.
  • TDVis and TDVisWeb provide interactive, web-based visualization for enhanced data exploration.

Conclusions:

  • TDEase offers a comprehensive solution to challenges in TDP data interpretation.
  • The open-source Python framework facilitates future development and integration of new data types.
  • TDEase empowers researchers with efficient and accessible tools for proteoform analysis.