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Efficient Analysis of Proteome-wide FPOP Data by FragPipe
Monitoring protein structure before and after perturbations can give insights into the role and function of proteins. Fast photochemical oxidation of proteins (FPOP) coupled with mass spectrometry (MS) allows monitoring of structural rearrangements by exposing proteins to OH radicals that oxidize so...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10274679/ https://www.ncbi.nlm.nih.gov/pubmed/37333157 http://dx.doi.org/10.1101/2023.06.01.543263 |
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author | Ramírez, Carolina Rojas Espino, Jessica Arlett Jones, Lisa M. Polasky, Daniel A. Nesvizhskii, Alexey I. |
author_facet | Ramírez, Carolina Rojas Espino, Jessica Arlett Jones, Lisa M. Polasky, Daniel A. Nesvizhskii, Alexey I. |
author_sort | Ramírez, Carolina Rojas |
collection | PubMed |
description | Monitoring protein structure before and after perturbations can give insights into the role and function of proteins. Fast photochemical oxidation of proteins (FPOP) coupled with mass spectrometry (MS) allows monitoring of structural rearrangements by exposing proteins to OH radicals that oxidize solvent accessible residues, indicating protein regions undergoing movement. Some of the benefits of FPOP include high throughput and lack of scrambling due to label irreversibility. However, the challenges of processing FPOP data have thus far limited its proteome-scale uses. Here, we present a computational workflow for fast and sensitive analysis of FPOP datasets. Our workflow combines the speed of MSFragger search with a unique hybrid search method to restrict the large search space of FPOP modifications. Together, these features enable more than 10-fold faster FPOP searches that identify 50% more modified peptide spectra than previous methods. We hope this new workflow will increase the accessibility of FPOP to enable more protein structure and function relationships to be explored. |
format | Online Article Text |
id | pubmed-10274679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-102746792023-06-17 Efficient Analysis of Proteome-wide FPOP Data by FragPipe Ramírez, Carolina Rojas Espino, Jessica Arlett Jones, Lisa M. Polasky, Daniel A. Nesvizhskii, Alexey I. bioRxiv Article Monitoring protein structure before and after perturbations can give insights into the role and function of proteins. Fast photochemical oxidation of proteins (FPOP) coupled with mass spectrometry (MS) allows monitoring of structural rearrangements by exposing proteins to OH radicals that oxidize solvent accessible residues, indicating protein regions undergoing movement. Some of the benefits of FPOP include high throughput and lack of scrambling due to label irreversibility. However, the challenges of processing FPOP data have thus far limited its proteome-scale uses. Here, we present a computational workflow for fast and sensitive analysis of FPOP datasets. Our workflow combines the speed of MSFragger search with a unique hybrid search method to restrict the large search space of FPOP modifications. Together, these features enable more than 10-fold faster FPOP searches that identify 50% more modified peptide spectra than previous methods. We hope this new workflow will increase the accessibility of FPOP to enable more protein structure and function relationships to be explored. Cold Spring Harbor Laboratory 2023-06-05 /pmc/articles/PMC10274679/ /pubmed/37333157 http://dx.doi.org/10.1101/2023.06.01.543263 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Ramírez, Carolina Rojas Espino, Jessica Arlett Jones, Lisa M. Polasky, Daniel A. Nesvizhskii, Alexey I. Efficient Analysis of Proteome-wide FPOP Data by FragPipe |
title | Efficient Analysis of Proteome-wide FPOP Data by FragPipe |
title_full | Efficient Analysis of Proteome-wide FPOP Data by FragPipe |
title_fullStr | Efficient Analysis of Proteome-wide FPOP Data by FragPipe |
title_full_unstemmed | Efficient Analysis of Proteome-wide FPOP Data by FragPipe |
title_short | Efficient Analysis of Proteome-wide FPOP Data by FragPipe |
title_sort | efficient analysis of proteome-wide fpop data by fragpipe |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10274679/ https://www.ncbi.nlm.nih.gov/pubmed/37333157 http://dx.doi.org/10.1101/2023.06.01.543263 |
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