Literature DB >> 32924495

Peptide-Spectrum Match Validation with Internal Standards (P-VIS): Internally-Controlled Validation of Mass Spectrometry-Based Peptide Identifications.

Timothy Aaron Wiles1, Laura M Saba1, Thomas Delong1.   

Abstract

Liquid chromatography-tandem mass spectrometry is an increasingly powerful tool for studying proteins in the context of disease. As technological advances in instrumentation and data analysis have enabled deeper profiling of proteomes and peptidomes, the need for a rigorous, standardized approach to validate individual peptide-spectrum matches (PSMs) has emerged. To address this need, we developed a novel and broadly applicable workflow: PSM validation with internal standards (P-VIS). In this approach, the fragmentation spectrum and chromatographic retention time of a peptide within a biological sample are compared with those of a synthetic version of the putative peptide sequence match. Similarity measurements obtained for a panel of internal standard peptides are then used to calculate a prediction interval for valid matches. If the observed degree of similarity between the biological and the synthetic peptide falls within this prediction interval, then the match is considered valid. P-VIS enables systematic and objective assessment of the validity of individual PSMs, providing a measurable degree of confidence when identifying peptides by mass spectrometry.

Entities:  

Keywords:  hybrid insulin peptides; immunopeptidomics; immunotherapy; peptide splicing; peptide−spectrum match; peptidomics; post-translational modification; validation

Mesh:

Substances:

Year:  2020        PMID: 32924495      PMCID: PMC7775876          DOI: 10.1021/acs.jproteome.0c00355

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  35 in total

1.  Response to Comment on "A subset of HLA-I peptides are not genomically templated: Evidence for cis- and trans-spliced peptide ligands".

Authors:  Pouya Faridi; Chen Li; Sri H Ramarathinam; Patricia T Illing; Nicole A Mifsud; Rochelle Ayala; Jiangning Song; Linden J Gearing; Nathan P Croft; Anthony W Purcell
Journal:  Sci Immunol       Date:  2019-08-16

2.  Improved Peptide Retention Time Prediction in Liquid Chromatography through Deep Learning.

Authors:  Chunwei Ma; Yan Ren; Jiarui Yang; Zhe Ren; Huanming Yang; Siqi Liu
Journal:  Anal Chem       Date:  2018-08-29       Impact factor: 6.986

Review 3.  Peptide splicing by the proteasome.

Authors:  Nathalie Vigneron; Violette Ferrari; Vincent Stroobant; Joanna Abi Habib; Benoit J Van den Eynde
Journal:  J Biol Chem       Date:  2017-11-06       Impact factor: 5.157

4.  A Case for a Human Immuno-Peptidome Project Consortium.

Authors:  Etienne Caron; Ruedi Aebersold; Amir Banaei-Esfahani; Chloe Chong; Michal Bassani-Sternberg
Journal:  Immunity       Date:  2017-08-15       Impact factor: 31.745

5.  In Immunopeptidomics We Need a Sniper Instead of a Shotgun.

Authors:  Pouya Faridi; Anthony W Purcell; Nathan Paul Croft
Journal:  Proteomics       Date:  2018-03-07       Impact factor: 3.984

6.  Global Identification of Post-Translationally Spliced Peptides with Neo-Fusion.

Authors:  Zach Rolfs; Stefan K Solntsev; Michael R Shortreed; Brian L Frey; Lloyd M Smith
Journal:  J Proteome Res       Date:  2018-10-31       Impact factor: 4.466

7.  Matrix effects break the LC behavior rule for analytes in LC-MS/MS analysis of biological samples.

Authors:  Nianbai Fang; Shanggong Yu; Martin Jj Ronis; Thomas M Badger
Journal:  Exp Biol Med (Maywood)       Date:  2014-10-10

8.  The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition.

Authors:  Eric W Deutsch; Attila Csordas; Zhi Sun; Andrew Jarnuczak; Yasset Perez-Riverol; Tobias Ternent; David S Campbell; Manuel Bernal-Llinares; Shujiro Okuda; Shin Kawano; Robert L Moritz; Jeremy J Carver; Mingxun Wang; Yasushi Ishihama; Nuno Bandeira; Henning Hermjakob; Juan Antonio Vizcaíno
Journal:  Nucleic Acids Res       Date:  2016-10-18       Impact factor: 16.971

9.  Understanding and using sensitivity, specificity and predictive values.

Authors:  Rajul Parikh; Annie Mathai; Shefali Parikh; G Chandra Sekhar; Ravi Thomas
Journal:  Indian J Ophthalmol       Date:  2008 Jan-Feb       Impact factor: 1.848

Review 10.  SciPy 1.0: fundamental algorithms for scientific computing in Python.

Authors:  Pauli Virtanen; Ralf Gommers; Travis E Oliphant; Matt Haberland; Tyler Reddy; David Cournapeau; Evgeni Burovski; Pearu Peterson; Warren Weckesser; Jonathan Bright; Stéfan J van der Walt; Matthew Brett; Joshua Wilson; K Jarrod Millman; Nikolay Mayorov; Andrew R J Nelson; Eric Jones; Robert Kern; Eric Larson; C J Carey; İlhan Polat; Yu Feng; Eric W Moore; Jake VanderPlas; Denis Laxalde; Josef Perktold; Robert Cimrman; Ian Henriksen; E A Quintero; Charles R Harris; Anne M Archibald; Antônio H Ribeiro; Fabian Pedregosa; Paul van Mulbregt
Journal:  Nat Methods       Date:  2020-02-03       Impact factor: 28.547

View more
  1 in total

1.  Characterization of Human CD4 T Cells Specific for a C-Peptide/C-Peptide Hybrid Insulin Peptide.

Authors:  Timothy A Wiles; Anita Hohenstein; Laurie G Landry; Mylinh Dang; Roger Powell; Perrin Guyer; Eddie A James; Maki Nakayama; Kathryn Haskins; Thomas Delong; Rocky L Baker
Journal:  Front Immunol       Date:  2021-05-25       Impact factor: 7.561

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.