Your browser doesn't support javascript.
loading
Simple, efficient and thorough shotgun proteomic analysis with PatternLab V.
Santos, Marlon D M; Lima, Diogo B; Fischer, Juliana S G; Clasen, Milan A; Kurt, Louise U; Camillo-Andrade, Amanda Caroline; Monteiro, Leandro C; de Aquino, Priscila F; Neves-Ferreira, Ana G C; Valente, Richard H; Trugilho, Monique R O; Brunoro, Giselle V F; Souza, Tatiana A C B; Santos, Renata M; Batista, Michel; Gozzo, Fabio C; Durán, Rosario; Yates, John R; Barbosa, Valmir C; Carvalho, Paulo C.
Afiliación
  • Santos MDM; Laboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil.
  • Lima DB; Department of Structural Biology, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany.
  • Fischer JSG; Laboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil.
  • Clasen MA; Laboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil.
  • Kurt LU; Laboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil.
  • Camillo-Andrade AC; Laboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil.
  • Monteiro LC; Laboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil.
  • de Aquino PF; Leonidas and Maria Deane Institute, Fiocruz Amazonas, Manaus, Brazil.
  • Neves-Ferreira AGC; Laboratory of Toxinology, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro, Brazil.
  • Valente RH; Laboratory of Toxinology, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro, Brazil.
  • Trugilho MRO; Laboratory of Toxinology, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro, Brazil.
  • Brunoro GVF; Center for Technological Development in Health, Fiocruz, Rio de Janeiro, Brazil.
  • Souza TACB; Research and Development in Biotechnology, Blau Farmacêutica S/A, Cotia, Brazil.
  • Santos RM; Laboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil.
  • Batista M; Laboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil.
  • Gozzo FC; Chemistry Institute, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Durán R; Mass spectrometry facility, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil.
  • Yates JR; Dalton Mass Spectrometry Laboratory, University of Campinas, São Paulo, Brazil.
  • Barbosa VC; Analytical Biochemistry and Proteomics Unit, Instituto de Investigaciones Biológicas Clemente Estable/Institut Pasteur, Montevideo, Uruguay.
  • Carvalho PC; Laboratory for Biological Mass Spectrometry, The Scripps Research Institute, La Jolla, CA, USA.
Nat Protoc ; 17(7): 1553-1578, 2022 07.
Article en En | MEDLINE | ID: mdl-35411045
ABSTRACT
Shotgun proteomics aims to identify and quantify the thousands of proteins in complex mixtures such as cell and tissue lysates and biological fluids. This approach uses liquid chromatography coupled with tandem mass spectrometry and typically generates hundreds of thousands of mass spectra that require specialized computational environments for data analysis. PatternLab for proteomics is a unified computational environment for analyzing shotgun proteomic data. PatternLab V (PLV) is the most comprehensive and crucial update so far, the result of intensive interaction with the proteomics community over several years. All PLV modules have been optimized and its graphical user interface has been completely updated for improved user experience. Major improvements were made to all aspects of the software, ranging from boosting the number of protein identifications to faster extraction of ion chromatograms. PLV provides modules for preparing sequence databases, protein identification, statistical filtering and in-depth result browsing for both labeled and label-free quantitation. The PepExplorer module can even pinpoint de novo sequenced peptides not already present in the database. PLV is of broad applicability and therefore suitable for challenging experimental setups, such as time-course experiments and data handling from unsequenced organisms. PLV interfaces with widely adopted software and community initiatives, e.g., Comet, Skyline, PEAKS and PRIDE. It is freely available at http//www.patternlabforproteomics.org .
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Proteómica Idioma: En Revista: Nat Protoc Año: 2022 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Proteómica Idioma: En Revista: Nat Protoc Año: 2022 Tipo del documento: Article País de afiliación: Brasil