Mass spectrometry (MS)-based proteomics is currently the most successful approach to measure and compare peptides and proteins in a large variety of biological samples. Modern mass spectrometers, equipped with high-resolution analyzers, provide large amounts of data output. This is the case of shotgun/bottom-up proteomics, which consists in the enzymatic digestion of protein into peptides that are then measured by MS-instruments through a data dependent acquisition (DDA) mode. Dedicated bioinformatic tools and platforms have been developed to face the increasing size and complexity of raw MS data that need to be processed and interpreted for large-scale protein identification and quantification. This chapter illustrates the most popular bioinformatics solution for the analysis of shotgun MS-proteomics data. A general description will be provided on the data preprocessing options and the different search engines available, including practical suggestions on how to optimize the parameters for peptide search, based on hands-on experience.

Software Options for the Analysis of MS-Proteomic Data / A. Yadav, F. Marini, A. Cuomo, T. Bonaldi (METHODS IN MOLECULAR BIOLOGY). - In: Proteomics Data Analysis / [a cura di] J.M. Walker. - [s.l] : Humana Press Inc., 2021. - ISBN 978-1-0716-1640-6. - pp. 35-59 [10.1007/978-1-0716-1641-3_3]

Software Options for the Analysis of MS-Proteomic Data

T. Bonaldi
Ultimo
Writing – Review & Editing
2021

Abstract

Mass spectrometry (MS)-based proteomics is currently the most successful approach to measure and compare peptides and proteins in a large variety of biological samples. Modern mass spectrometers, equipped with high-resolution analyzers, provide large amounts of data output. This is the case of shotgun/bottom-up proteomics, which consists in the enzymatic digestion of protein into peptides that are then measured by MS-instruments through a data dependent acquisition (DDA) mode. Dedicated bioinformatic tools and platforms have been developed to face the increasing size and complexity of raw MS data that need to be processed and interpreted for large-scale protein identification and quantification. This chapter illustrates the most popular bioinformatics solution for the analysis of shotgun MS-proteomics data. A general description will be provided on the data preprocessing options and the different search engines available, including practical suggestions on how to optimize the parameters for peptide search, based on hands-on experience.
Algorithms; Databases; Mass spectrometry; Protein identification; Protein quantification; Shotgun proteomics; Software
Settore BIO/13 - Biologia Applicata
Settore BIO/10 - Biochimica
2021
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/948071
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