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Selymatra: A web application for protein‐profiling analysis of mass spectra

Surface enhanced laser desorption/ionization‐time of flight (SELDI‐TOF) mass spectrometry is a variant of the matrix‐assisted laser desorption/ionization‐time of flight (MALDI‐TOF) mass spectrometry. It is used in many cases especially for the analysis of protein profiling and for preliminary screen...

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Autores principales: Nardone, Davide, Ciaramella, Angelo, Cerreta, Mariangela, Pulcrano, Salvatore, Bellenchi, Gian C., Leone, Linda, Manco, Giuseppe, Febbraio, Ferdinando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912196/
https://www.ncbi.nlm.nih.gov/pubmed/34487563
http://dx.doi.org/10.1002/bab.2249
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author Nardone, Davide
Ciaramella, Angelo
Cerreta, Mariangela
Pulcrano, Salvatore
Bellenchi, Gian C.
Leone, Linda
Manco, Giuseppe
Febbraio, Ferdinando
author_facet Nardone, Davide
Ciaramella, Angelo
Cerreta, Mariangela
Pulcrano, Salvatore
Bellenchi, Gian C.
Leone, Linda
Manco, Giuseppe
Febbraio, Ferdinando
author_sort Nardone, Davide
collection PubMed
description Surface enhanced laser desorption/ionization‐time of flight (SELDI‐TOF) mass spectrometry is a variant of the matrix‐assisted laser desorption/ionization‐time of flight (MALDI‐TOF) mass spectrometry. It is used in many cases especially for the analysis of protein profiling and for preliminary screening of biomarkers in complex samples. Unfortunately, these analyses are time consuming and protein identification is generally strictly limited. SELDI‐TOF analysis of mass spectra (SELYMATRA) is a web application (WA) developed to reduce these limitations by (i) automating the identification processes and (ii) introducing the possibility to predict proteins in complex mixtures from cells and tissues. The WA architectural pattern is the model‐view‐controller, commonly used in software development. The WA compares the mass value between two mass spectra (sample vs. control) to extract differences, and, according to the set parameters, it queries a local database to predict most likely proteins based on their masses and different expression amplification. The WA was validated in a cellular model overexpressing a tagged NURR1 receptor, being able to recognize the tagged protein in the profiling of transformed cells. A help page, including a description of parameters for WA use, is available on the website.
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spelling pubmed-99121962023-02-11 Selymatra: A web application for protein‐profiling analysis of mass spectra Nardone, Davide Ciaramella, Angelo Cerreta, Mariangela Pulcrano, Salvatore Bellenchi, Gian C. Leone, Linda Manco, Giuseppe Febbraio, Ferdinando Biotechnol Appl Biochem Original Articles Surface enhanced laser desorption/ionization‐time of flight (SELDI‐TOF) mass spectrometry is a variant of the matrix‐assisted laser desorption/ionization‐time of flight (MALDI‐TOF) mass spectrometry. It is used in many cases especially for the analysis of protein profiling and for preliminary screening of biomarkers in complex samples. Unfortunately, these analyses are time consuming and protein identification is generally strictly limited. SELDI‐TOF analysis of mass spectra (SELYMATRA) is a web application (WA) developed to reduce these limitations by (i) automating the identification processes and (ii) introducing the possibility to predict proteins in complex mixtures from cells and tissues. The WA architectural pattern is the model‐view‐controller, commonly used in software development. The WA compares the mass value between two mass spectra (sample vs. control) to extract differences, and, according to the set parameters, it queries a local database to predict most likely proteins based on their masses and different expression amplification. The WA was validated in a cellular model overexpressing a tagged NURR1 receptor, being able to recognize the tagged protein in the profiling of transformed cells. A help page, including a description of parameters for WA use, is available on the website. John Wiley and Sons Inc. 2021-09-20 2022-10 /pmc/articles/PMC9912196/ /pubmed/34487563 http://dx.doi.org/10.1002/bab.2249 Text en © 2021 The Authors. Biotechnology and Applied Biochemistry published by Wiley Periodicals LLC on behalf of International Union of Biochemistry and Molecular Biology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Nardone, Davide
Ciaramella, Angelo
Cerreta, Mariangela
Pulcrano, Salvatore
Bellenchi, Gian C.
Leone, Linda
Manco, Giuseppe
Febbraio, Ferdinando
Selymatra: A web application for protein‐profiling analysis of mass spectra
title Selymatra: A web application for protein‐profiling analysis of mass spectra
title_full Selymatra: A web application for protein‐profiling analysis of mass spectra
title_fullStr Selymatra: A web application for protein‐profiling analysis of mass spectra
title_full_unstemmed Selymatra: A web application for protein‐profiling analysis of mass spectra
title_short Selymatra: A web application for protein‐profiling analysis of mass spectra
title_sort selymatra: a web application for protein‐profiling analysis of mass spectra
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912196/
https://www.ncbi.nlm.nih.gov/pubmed/34487563
http://dx.doi.org/10.1002/bab.2249
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