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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and
Anthony A High1, Haiyan Tan2, Vishwajeeth R Pagala2
1St. Jude Proteomics Facility, St. Jude Children's Research Hospital; anthony.high@stjude.org.
This study presents a deep proteomics profiling protocol using 10-plex tandem mass tag (TMT) labeling and LC/LC-MS/MS for accurate whole proteome quantitation. The method reliably identifies over 10,000 proteins in complex mammalian samples.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biochemistry
Background:
- Mass spectrometry (MS)-based proteomics has advanced significantly, particularly with liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) and isobaric labeling.
- Accurate quantitation of whole proteomes in complex biological samples remains a challenge.
Purpose of the Study:
- To introduce a deep-proteomics profiling protocol for accurate whole proteome quantitation.
- To combine 10-plex tandem mass tag (TMT) labeling with an extensive LC/LC-MS/MS platform and computational interference correction.
Main Methods:
- Protein extraction, digestion, and 10-plex TMT labeling.
- Two-dimensional (2D) liquid chromatography (LC) coupled to high-resolution tandem mass spectrometry (LC-MS/MS).
- Post-MS computational interference correction for accurate quantitation and quality control.
Main Results:
- The protocol enables confident quantitation of over 10,000 proteins in mammalian samples.
- Demonstrated robustness and applicability to various complex samples like cell cultures, tissues, and clinical specimens.
- Potential for adaptation to quantitate post-translational modifications.
Conclusions:
- This multiplexed and robust method offers a powerful tool for deep proteome profiling.
- The protocol enhances the accuracy and capacity of quantitative proteomics.
- Facilitates comprehensive proteomic analysis across diverse biological contexts.
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