Literature DB >> 23811049

A Candida albicans PeptideAtlas.

Vital Vialas1, Zhi Sun2, Carla Verónica Loureiro y Penha3, Montserrat Carrascal4, Joaquín Abián4, Lucía Monteoliva3, Eric W Deutsch2, Ruedi Aebersold5, Robert L Moritz2, Concha Gil6.   

Abstract

Candida albicans public proteomic datasets, though growing steadily in the last few years, still have a very limited presence in online repositories. We report here the creation of a C. albicans PeptideAtlas comprising near 22,000 distinct peptides at a 0.24% False Discovery Rate (FDR) that account for over 2500 canonical proteins at a 1.2% FDR. Based on data from 16 experiments, we attained coverage of 41% of the C. albicans open reading frame sequences (ORFs) in the database used for the searches. This PeptideAtlas provides several useful features, including comprehensive protein and peptide-centered search capabilities and visualization tools that establish a solid basis for the study of basic biological mechanisms key to virulence and pathogenesis such as dimorphism, adherence, and apoptosis. Further, it is a valuable resource for the selection of candidate proteotypic peptides for targeted proteomic experiments via Selected Reaction Monitoring (SRM) or SWATH-MS. BIOLOGICAL SIGNIFICANCE: This C. albicans PeptideAtlas resolves the previous absence of fungal pathogens in the PeptideAtlas project. It represents the most extensive characterization of the proteome of this fungus that exists up to the current date, including evidence for uncharacterized ORFs. Through its web interface, PeptideAtlas supports the study of interesting proteins related to basic biological mechanisms key to virulence such as apoptosis, dimorphism and adherence. It also provides a valuable resource to select candidate proteotypic peptides for future (SRM) targeted proteomic experiments. This article is part of a Special Issue entitled: Trends in Microbial Proteomics.
© 2013.

Entities:  

Keywords:  CGD; Candida Genome Database; Candida albicans; ESS; Empirical Suitability Score; FDR; False Discovery Rate; PRIDE; PSM; PSS; PeptideAtlas; Peptide–Spectrum Match; Predicted Suitability Score; Protein Identifications Database; Proteotypic peptides; SRM; Selected Reaction Monitoring

Mesh:

Substances:

Year:  2013        PMID: 23811049      PMCID: PMC3951211          DOI: 10.1016/j.jprot.2013.06.020

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  42 in total

1.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

2.  Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis.

Authors:  Ludovic C Gillet; Pedro Navarro; Stephen Tate; Hannes Röst; Nathalie Selevsek; Lukas Reiter; Ron Bonner; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2012-01-18       Impact factor: 5.911

3.  Tranche distributed repository and ProteomeCommons.org.

Authors:  Bryan E Smith; James A Hill; Mark A Gjukich; Philip C Andrews
Journal:  Methods Mol Biol       Date:  2011

Review 4.  Candida albicans biology and pathogenicity: insights from proteomics.

Authors:  Aida Pitarch; César Nombela; Concha Gil
Journal:  Methods Biochem Anal       Date:  2006

Review 5.  The Candida Genome Database: facilitating research on Candida albicans molecular biology.

Authors:  Maria C Costanzo; Martha B Arnaud; Marek S Skrzypek; Gail Binkley; Christopher Lane; Stuart R Miyasato; Gavin Sherlock
Journal:  FEMS Yeast Res       Date:  2006-08       Impact factor: 2.796

6.  Absolute quantification of transcription factors during cellular differentiation using multiplexed targeted proteomics.

Authors:  Jovan Simicevic; Adrien W Schmid; Paola A Gilardoni; Benjamin Zoller; Sunil K Raghav; Irina Krier; Carine Gubelmann; Frédérique Lisacek; Felix Naef; Marc Moniatte; Bart Deplancke
Journal:  Nat Methods       Date:  2013-04-14       Impact factor: 28.547

7.  Total and putative surface proteomics of malaria parasite salivary gland sporozoites.

Authors:  Scott E Lindner; Kristian E Swearingen; Anke Harupa; Ashley M Vaughan; Photini Sinnis; Robert L Moritz; Stefan H I Kappe
Journal:  Mol Cell Proteomics       Date:  2013-01-16       Impact factor: 5.911

8.  Engineered control of cell morphology in vivo reveals distinct roles for yeast and filamentous forms of Candida albicans during infection.

Authors:  Stephen P Saville; Anna L Lazzell; Carlos Monteagudo; Jose L Lopez-Ribot
Journal:  Eukaryot Cell       Date:  2003-10

9.  The Mtb proteome library: a resource of assays to quantify the complete proteome of Mycobacterium tuberculosis.

Authors:  Olga T Schubert; Jeppe Mouritsen; Christina Ludwig; Hannes L Röst; George Rosenberger; Patrick K Arthur; Manfred Claassen; David S Campbell; Zhi Sun; Terry Farrah; Martin Gengenbacher; Alessio Maiolica; Stefan H E Kaufmann; Robert L Moritz; Ruedi Aebersold
Journal:  Cell Host Microbe       Date:  2013-05-15       Impact factor: 21.023

10.  The impact of esophageal candidiasis on hospital charges and costs across patient subgroups.

Authors:  Kuo B Tong; Kirsten N Murtagh; Christopher Lau; Raafat Seifeldin
Journal:  Curr Med Res Opin       Date:  2008-01       Impact factor: 2.580

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  10 in total

1.  State of the Human Proteome in 2014/2015 As Viewed through PeptideAtlas: Enhancing Accuracy and Coverage through the AtlasProphet.

Authors:  Eric W Deutsch; Zhi Sun; David Campbell; Ulrike Kusebauch; Caroline S Chu; Luis Mendoza; David Shteynberg; Gilbert S Omenn; Robert L Moritz
Journal:  J Proteome Res       Date:  2015-07-24       Impact factor: 4.466

2.  The Human Plasma Proteome Draft of 2017: Building on the Human Plasma PeptideAtlas from Mass Spectrometry and Complementary Assays.

Authors:  Jochen M Schwenk; Gilbert S Omenn; Zhi Sun; David S Campbell; Mark S Baker; Christopher M Overall; Ruedi Aebersold; Robert L Moritz; Eric W Deutsch
Journal:  J Proteome Res       Date:  2017-10-10       Impact factor: 4.466

3.  Candida albicans cell shaving uncovers new proteins involved in cell wall integrity, yeast to hypha transition, stress response and host-pathogen interaction.

Authors:  Ana Gil-Bona; Claudia Marcela Parra-Giraldo; María Luisa Hernáez; Jose Antonio Reales-Calderon; Norma V Solis; Scott G Filler; Lucia Monteoliva; Concha Gil
Journal:  J Proteomics       Date:  2015-06-15       Impact factor: 4.044

4.  The Arabidopsis PeptideAtlas: Harnessing worldwide proteomics data to create a comprehensive community proteomics resource.

Authors:  Klaas J van Wijk; Tami Leppert; Qi Sun; Sascha S Boguraev; Zhi Sun; Luis Mendoza; Eric W Deutsch
Journal:  Plant Cell       Date:  2021-11-04       Impact factor: 12.085

5.  A comprehensive Candida albicans PeptideAtlas build enables deep proteome coverage.

Authors:  Vital Vialas; Zhi Sun; Jose A Reales-Calderón; María L Hernáez; Vanessa Casas; Montserrat Carrascal; Joaquín Abián; Lucía Monteoliva; Eric W Deutsch; Robert L Moritz; Concha Gil
Journal:  J Proteomics       Date:  2015-10-19       Impact factor: 4.044

6.  Candida albicans Shaving to Profile Human Serum Proteins on Hyphal Surface.

Authors:  Elvira Marín; Claudia M Parra-Giraldo; Carolina Hernández-Haro; María L Hernáez; César Nombela; Lucía Monteoliva; Concha Gil
Journal:  Front Microbiol       Date:  2015-12-08       Impact factor: 5.640

Review 7.  Host-pathogen interactions between the human innate immune system and Candida albicans-understanding and modeling defense and evasion strategies.

Authors:  Sybille Dühring; Sebastian Germerodt; Christine Skerka; Peter F Zipfel; Thomas Dandekar; Stefan Schuster
Journal:  Front Microbiol       Date:  2015-06-30       Impact factor: 5.640

8.  Proteomic Analysis of Pathogenic Fungi Reveals Highly Expressed Conserved Cell Wall Proteins.

Authors:  Jackson Champer; James I Ito; Karl V Clemons; David A Stevens; Markus Kalkum
Journal:  J Fungi (Basel)       Date:  2016-01-12

Review 9.  Exploring the potential of public proteomics data.

Authors:  Marc Vaudel; Kenneth Verheggen; Attila Csordas; Helge Raeder; Frode S Berven; Lennart Martens; Juan A Vizcaíno; Harald Barsnes
Journal:  Proteomics       Date:  2015-12-15       Impact factor: 3.984

Review 10.  Adaptations of the Secretome of Candida albicans in Response to Host-Related Environmental Conditions.

Authors:  Frans M Klis; Stanley Brul
Journal:  Eukaryot Cell       Date:  2015-10-09
  10 in total

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