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Covalent Labelling Estimation And Normalization (CLEAN) Package

Analysis of LC-MS/MS data.

Validation

Covalent labeling data is cleanly displayed in a hierarchy based on protein state, reagent and replicate. The validation view allows the user to modify automatic peak selection and to verify correct fragment identification.

Automated processing is enabled via the “Reprocess All” button. Automated peak area selections can be adjusted by click and dragging left-to-right to select an area and right-to-left to deselect. Peak areas need not be continuous.

Inset sequence and column graph shows the identified fragments and relative residue labeling yields. Orange fragments correspond to intensity-imputed fragments. For more information please see our publication linked below.

 

Visualization

Labeling yields can be previewed on the protein sequence(s) by peptide or residue. Yields may be displayed by absolute or relative yields with respect to a control. Maps can be exported by right-clicking and selecting “Save Image”.

 

Export

Processed data can be exported in a number of CSV files including normalized yields by residue and a text file ready for mapping to a protein structure via the “Render by Attribute” functionality in UCSF Chimera.

 

Reference

[Link]: Ziemianowicz DS, Sarpe V, Schriemer DC. 2019. Quantitative Analysis of Protein Covalent Labeling Mass Spectrometry Data in the Mass Spec Studio. Analytical Chemistry.

Get Started

Download a pre-created project to learn about the features of the CLEAN analysis package. To open, File -> Open Project and select the .mssproj file.

Tutorial

About Us

We are the Structural Mass Spectrometry group at the University of Calgary. We use protein mass spectrometry to measure protein structure and dynamics. Our research is driven by fundamental interests in molecular processes related to cell division, DNA damage repair and host-pathogen interactions. We've built several software solutions in the past to complement our research activities. Our goal is to share Mass Spec Studio and enable the mass spec community to build robust analysis workflows which are easy to integrate, maintain and utilize.

Visit our webpage

Contact Us

  • Dept. of Biochemistry & Molecular Biology, Faculty of Medicine, Rm. 379 Heritage Research Building, University of Calgary, Calgary, Alberta, Canada, T2N 4N1
  • dschriem@ucalgary.ca
  • (403) 283-8727
  • (403) 210-3811
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