Top-Down and Intact Protein Mass Spectrometry Data Visualization for Proteoform Analysis Using VisioProt-MS

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Top-Down and Intact Protein Mass Spectrometry Data Visualization for Proteoform Analysis Using VisioProt-MS. / Lesne, Jean; Bousquet, Marie-Pierre; Marcoux, Julien; Locard-Paulet, Marie.

In: Bioinformatics and Biology Insights, Vol. 13, 2019.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Lesne, J, Bousquet, M-P, Marcoux, J & Locard-Paulet, M 2019, 'Top-Down and Intact Protein Mass Spectrometry Data Visualization for Proteoform Analysis Using VisioProt-MS', Bioinformatics and Biology Insights, vol. 13. https://doi.org/10.1177/1177932219868223

APA

Lesne, J., Bousquet, M-P., Marcoux, J., & Locard-Paulet, M. (2019). Top-Down and Intact Protein Mass Spectrometry Data Visualization for Proteoform Analysis Using VisioProt-MS. Bioinformatics and Biology Insights, 13. https://doi.org/10.1177/1177932219868223

Vancouver

Lesne J, Bousquet M-P, Marcoux J, Locard-Paulet M. Top-Down and Intact Protein Mass Spectrometry Data Visualization for Proteoform Analysis Using VisioProt-MS. Bioinformatics and Biology Insights. 2019;13. https://doi.org/10.1177/1177932219868223

Author

Lesne, Jean ; Bousquet, Marie-Pierre ; Marcoux, Julien ; Locard-Paulet, Marie. / Top-Down and Intact Protein Mass Spectrometry Data Visualization for Proteoform Analysis Using VisioProt-MS. In: Bioinformatics and Biology Insights. 2019 ; Vol. 13.

Bibtex

@article{5a7dc4caf7da426ea9cea6895a932471,
title = "Top-Down and Intact Protein Mass Spectrometry Data Visualization for Proteoform Analysis Using VisioProt-MS",
abstract = "The rise of intact protein analysis by mass spectrometry (MS) was accompanied by an increasing need for flexible tools allowing data visualization and analysis. These include inspection of the deconvoluted molecular weights of the proteoforms eluted alongside liquid chromatography (LC) through their representation in three-dimensional (3D) liquid chromatography coupled to mass spectrometry (LC-MS) maps (plots of deconvoluted molecular weights, retention times, and intensity of the MS signal). With this aim, we developed a free and open-source web application named VisioProt-MS (https://masstools.ipbs.fr/mstools/visioprot-ms/). VisioProt-MS is highly compatible with many algorithms and software developed by the community to integrate and deconvolute top-down and intact protein MS data. Its dynamic and user-friendly features greatly facilitate analysis through several graphical representations dedicated to MS and tandem mass spectrometry (MS/MS) analysis of proteoforms in complex samples. Here, we will illustrate the importance of LC-MS map visualization to optimize top-down acquisition/search parameters and analyze intact protein MS data. We will go through the main features of VisioProt-MS using the human proteasomal 20S core particle as a user-case.",
author = "Jean Lesne and Marie-Pierre Bousquet and Julien Marcoux and Marie Locard-Paulet",
year = "2019",
doi = "10.1177/1177932219868223",
language = "English",
volume = "13",
journal = "Bioinformatics and Biology Insights",
issn = "1177-9322",
publisher = "Libertas Academica Ltd.",

}

RIS

TY - JOUR

T1 - Top-Down and Intact Protein Mass Spectrometry Data Visualization for Proteoform Analysis Using VisioProt-MS

AU - Lesne, Jean

AU - Bousquet, Marie-Pierre

AU - Marcoux, Julien

AU - Locard-Paulet, Marie

PY - 2019

Y1 - 2019

N2 - The rise of intact protein analysis by mass spectrometry (MS) was accompanied by an increasing need for flexible tools allowing data visualization and analysis. These include inspection of the deconvoluted molecular weights of the proteoforms eluted alongside liquid chromatography (LC) through their representation in three-dimensional (3D) liquid chromatography coupled to mass spectrometry (LC-MS) maps (plots of deconvoluted molecular weights, retention times, and intensity of the MS signal). With this aim, we developed a free and open-source web application named VisioProt-MS (https://masstools.ipbs.fr/mstools/visioprot-ms/). VisioProt-MS is highly compatible with many algorithms and software developed by the community to integrate and deconvolute top-down and intact protein MS data. Its dynamic and user-friendly features greatly facilitate analysis through several graphical representations dedicated to MS and tandem mass spectrometry (MS/MS) analysis of proteoforms in complex samples. Here, we will illustrate the importance of LC-MS map visualization to optimize top-down acquisition/search parameters and analyze intact protein MS data. We will go through the main features of VisioProt-MS using the human proteasomal 20S core particle as a user-case.

AB - The rise of intact protein analysis by mass spectrometry (MS) was accompanied by an increasing need for flexible tools allowing data visualization and analysis. These include inspection of the deconvoluted molecular weights of the proteoforms eluted alongside liquid chromatography (LC) through their representation in three-dimensional (3D) liquid chromatography coupled to mass spectrometry (LC-MS) maps (plots of deconvoluted molecular weights, retention times, and intensity of the MS signal). With this aim, we developed a free and open-source web application named VisioProt-MS (https://masstools.ipbs.fr/mstools/visioprot-ms/). VisioProt-MS is highly compatible with many algorithms and software developed by the community to integrate and deconvolute top-down and intact protein MS data. Its dynamic and user-friendly features greatly facilitate analysis through several graphical representations dedicated to MS and tandem mass spectrometry (MS/MS) analysis of proteoforms in complex samples. Here, we will illustrate the importance of LC-MS map visualization to optimize top-down acquisition/search parameters and analyze intact protein MS data. We will go through the main features of VisioProt-MS using the human proteasomal 20S core particle as a user-case.

U2 - 10.1177/1177932219868223

DO - 10.1177/1177932219868223

M3 - Journal article

C2 - 31452600

VL - 13

JO - Bioinformatics and Biology Insights

JF - Bioinformatics and Biology Insights

SN - 1177-9322

ER -

ID: 227188767