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Published on: August 28, 2021
Limited Proteolysis Mass Spectrometry to Identify Protein Structural Differences in Brain Tissue
Haley E Tarbox1, Stephen D Fried1,2
1Department of Chemistry, Johns Hopkins University, Baltimore, MD, USA.
This study details a Limited Proteolysis Mass Spectrometry (LiP-MS) protocol to identify protein structural changes in brain tissue. The method uses proteinase K and free software for proteome-wide analysis.
Area of Science:
- Proteomics
- Structural Biology
- Biochemistry
Background:
- Structural proteomics enables the study of protein structural differences between conditions.
- Limited proteolysis mass spectrometry (LiP-MS) uses protease cleavage to report on protein structure.
- Previous LiP-MS implementations require specific protocols for proteome-wide analysis.
Purpose of the Study:
- To present a detailed protocol for a Limited Proteolysis Mass Spectrometry (LiP-MS) workflow.
- To enable the identification of proteome-wide protein structural changes between two experimental conditions.
- To provide a reliable and accessible method for structural proteomics research.
Main Methods:
- The protocol involves homogenizing tissue under native conditions, followed by limited proteolysis with proteinase K (PK).
- Samples are prepared for mass spectrometry (MS) and analyzed using data-dependent acquisition (DDA) or data-independent acquisition (DIA).
- Data processing utilizes FragPipe and FragPipe Limited-Proteolysis Processor (FLiPPR), including permutation analyses for reliability.
Main Results:
- The protocol successfully identifies proteins exhibiting structural changes between different experimental conditions in a proteome-wide manner.
- The workflow is applicable to brain tissue, providing insights into condition-specific structural alterations.
- Key features include the use of free and open-source software (FragPipe and FLiPPR).
Conclusions:
- This LiP-MS protocol offers a robust method for investigating proteome-wide protein structural changes.
- The described workflow is efficient, with sample preparation achievable in two days.
- The protocol facilitates reliable structural proteomics studies using accessible tools.
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