Abstract
Proteomic technologies are powerful methodologies that can aid our understanding of mechanisms of action in biological systems by providing a global view of the impact of a disease, treatment, or other condition on the proteome as a whole. This report provides a detailed protocol for the extraction, quantification, precipitation, digestion, labeling, and subsequent data analysis of protein samples. Our optimized TMT labeling protocol requires a lower tag-label concentration and achieves consistently reliable data. We have used this protocol to evaluate protein expression profiles in a variety of mouse tissues (i.e., heart, skeletal muscle, and brain) as well as cells cultured in vitro. In addition, we demonstrate how to evaluate thousands of proteins from the resulting dataset.
Original language | English (US) |
---|---|
Article number | e60970 |
Pages (from-to) | 1-6 |
Number of pages | 6 |
Journal | Journal of Visualized Experiments |
Volume | 2020 |
Issue number | 160 |
DOIs | |
State | Published - 2020 |
Bibliographical note
Funding Information:We would like to acknowledge the UF-ICBR proteomics facility for their processing of our samples. This work was supported in part by the National Institutes of Health R01 HL136759-01A1 (CAP).
Publisher Copyright:
© 2020, Journal of Visualized Experiments. All rights reserved.
Keywords
- Biochemistry
- Issue 160
- Multiplex proteomics
- Processing proteomics data
- Protein dysregulation
- Protein sample preparation
- Quantitative proteomics
- Tandem mass tag
- Untargeted proteomics
PubMed: MeSH publication types
- Journal Article
- Research Support, N.I.H., Extramural
- Video-Audio Media