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msproteomics sitereport: reporting DIA-MS phosphoproteomics experiments at site level with ease.
Pham, Thang V; Henneman, Alex A; Truong, Nam X; Jimenez, Connie R.
Affiliation
  • Pham TV; Amsterdam UMC location Vrije Universiteit Amsterdam, OncoProteomics Laboratory, Medical Oncology, De Boelelaan 1117, Amsterdam, the Netherlands.
  • Henneman AA; Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, the Netherlands.
  • Truong NX; Amsterdam UMC location Vrije Universiteit Amsterdam, OncoProteomics Laboratory, Medical Oncology, De Boelelaan 1117, Amsterdam, the Netherlands.
  • Jimenez CR; Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, the Netherlands.
Bioinformatics ; 40(7)2024 07 01.
Article de En | MEDLINE | ID: mdl-38944032
ABSTRACT

SUMMARY:

Identification and quantification of phosphorylation sites are essential for biological interpretation of a phosphoproteomics experiment. For data independent acquisition mass spectrometry-based (DIA-MS) phosphoproteomics, extracting a site-level report from the output of current processing software is not straightforward as multiple peptides might contribute to a single site, multiple phosphorylation sites can occur on the same peptides, and protein isoforms complicate site specification. Currently only limited support is available from a commercial software package via a platform-specific solution with a rather simple site quantification method. Here, we present sitereport, a software tool implemented in an extendable Python package called msproteomics to report phosphosites and phosphopeptides from a DIA-MS phosphoproteomics experiment with a proven quantification method called MaxLFQ. We demonstrate the use of sitereport for downstream data analysis at site level, allowing benchmarking different DIA-MS processing software tools. AVAILABILITY AND IMPLEMENTATION sitereport is available as a command line tool in the Python package msproteomics, released under the Apache License 2.0 and available from the Python Package Index (PyPI) at https//pypi.org/project/msproteomics and GitHub at https//github.com/tvpham/msproteomics.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Phosphoprotéines / Logiciel / Protéomique Langue: En Journal: Bioinformatics Sujet du journal: INFORMATICA MEDICA Année: 2024 Type de document: Article Pays d'affiliation: Pays-Bas Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Phosphoprotéines / Logiciel / Protéomique Langue: En Journal: Bioinformatics Sujet du journal: INFORMATICA MEDICA Année: 2024 Type de document: Article Pays d'affiliation: Pays-Bas Pays de publication: Royaume-Uni