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Related Experiment Video

Updated: Dec 17, 2025

TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis
07:44

TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis

Published on: June 8, 2020

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

Silveli Suzuki-Hatano1, Ang-Chen Tsai1, Audrey Daugherty1

  • 1Department of Pediatrics, University of Florida.

Journal of Visualized Experiments : Jove
|June 23, 2020
PubMed
Summary
This summary is machine-generated.

This study details an optimized protocol for proteomic analysis using TMT labeling, enabling reliable protein expression profiling in various tissues and cell cultures for better understanding biological mechanisms.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Proteomics

Background:

  • Proteomic technologies offer a global view of biological systems.
  • Understanding disease and treatment impacts on the proteome is crucial.
  • Standardized protocols are essential for reliable proteomic data.

Purpose of the Study:

  • To provide a detailed protocol for comprehensive proteomic analysis.
  • To optimize Tandem Mass Tag (TMT) labeling for improved data reliability.
  • To demonstrate the application of the protocol across diverse biological samples.

Main Methods:

  • Detailed protocol covering protein extraction, quantification, precipitation, and digestion.
  • Optimized TMT labeling protocol with reduced tag-label concentration.
  • Data analysis strategies for large-scale proteomic datasets.

Main Results:

  • Achieved consistently reliable proteomic data using the optimized TMT labeling protocol.
  • Successfully evaluated protein expression profiles in mouse heart, skeletal muscle, and brain tissues.
  • Demonstrated the ability to analyze thousands of proteins from complex biological samples.

Conclusions:

  • The presented protocol provides a robust method for proteomic analysis.
  • Optimized TMT labeling enhances the reliability and efficiency of protein expression profiling.
  • This methodology facilitates a deeper understanding of biological mechanisms in health and disease.