Literature DB >> 28872757

PROCAL: A Set of 40 Peptide Standards for Retention Time Indexing, Column Performance Monitoring, and Collision Energy Calibration.

Daniel Paul Zolg1, Mathias Wilhelm1, Peng Yu1, Tobias Knaute2, Johannes Zerweck2, Holger Wenschuh2, Ulf Reimer2, Karsten Schnatbaum2, Bernhard Kuster1,3,4.   

Abstract

Beyond specific applications, such as the relative or absolute quantification of peptides in targeted proteomic experiments, synthetic spike-in peptides are not yet systematically used as internal standards in bottom-up proteomics. A number of retention time standards have been reported that enable chromatographic aligning of multiple LC-MS/MS experiments. However, only few peptides are typically included in such sets limiting the analytical parameters that can be monitored. Here, we describe PROCAL (ProteomeTools Calibration Standard), a set of 40 synthetic peptides that span the entire hydrophobicity range of tryptic digests, enabling not only accurate determination of retention time indices but also monitoring of chromatographic separation performance over time. The fragmentation characteristics of the peptides can also be used to calibrate and compare collision energies between mass spectrometers. The sequences of all selected peptides do not occur in any natural protein, thus eliminating the need for stable isotope labeling. We anticipate that this set of peptides will be useful for multiple purposes in individual laboratories but also aiding the transfer of data acquisition and analysis methods between laboratories, notably the use of spectral libraries.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  LC-MS/MS; ProteomeTools; Retention time index; Retention time standardization; Synthetic peptides

Mesh:

Substances:

Year:  2017        PMID: 28872757     DOI: 10.1002/pmic.201700263

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  15 in total

1.  ProteomeTools: Systematic Characterization of 21 Post-translational Protein Modifications by Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS) Using Synthetic Peptides.

Authors:  Daniel Paul Zolg; Mathias Wilhelm; Tobias Schmidt; Guillaume Médard; Johannes Zerweck; Tobias Knaute; Holger Wenschuh; Ulf Reimer; Karsten Schnatbaum; Bernhard Kuster
Journal:  Mol Cell Proteomics       Date:  2018-05-29       Impact factor: 5.911

2.  Construction of à la carte QconCAT protein standards for multiplexed quantification of user-specified target proteins.

Authors:  James Johnson; Victoria M Harman; Catarina Franco; Edward Emmott; Nichola Rockliffe; Yaqi Sun; Lu-Ning Liu; Ayako Takemori; Nobuaki Takemori; Robert J Beynon
Journal:  BMC Biol       Date:  2021-09-08       Impact factor: 7.431

Review 3.  Expanding the Use of Spectral Libraries in Proteomics.

Authors:  Eric W Deutsch; Yasset Perez-Riverol; Robert J Chalkley; Mathias Wilhelm; Stephen Tate; Timo Sachsenberg; Mathias Walzer; Lukas Käll; Bernard Delanghe; Sebastian Böcker; Emma L Schymanski; Paul Wilmes; Viktoria Dorfer; Bernhard Kuster; Pieter-Jan Volders; Nico Jehmlich; Johannes P C Vissers; Dennis W Wolan; Ana Y Wang; Luis Mendoza; Jim Shofstahl; Andrew W Dowsey; Johannes Griss; Reza M Salek; Steffen Neumann; Pierre-Alain Binz; Henry Lam; Juan Antonio Vizcaíno; Nuno Bandeira; Hannes Röst
Journal:  J Proteome Res       Date:  2018-10-11       Impact factor: 4.466

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

Authors:  Timothy Aaron Wiles; Laura M Saba; Thomas Delong
Journal:  J Proteome Res       Date:  2020-09-29       Impact factor: 4.466

5.  Rebuilding core abscisic acid signaling pathways of Arabidopsis in yeast.

Authors:  Moritz Ruschhaupt; Julia Mergner; Stefanie Mucha; Michael Papacek; Isabel Doch; Stefanie V Tischer; Daniel Hemmler; David Chiasson; Kai H Edel; Jörg Kudla; Philippe Schmitt-Kopplin; Bernhard Kuster; Erwin Grill
Journal:  EMBO J       Date:  2019-08-01       Impact factor: 11.598

6.  CIDer: A Statistical Framework for Interpreting Differences in CID and HCD Fragmentation.

Authors:  Damien B Wilburn; Alicia L Richards; Danielle L Swaney; Brian C Searle
Journal:  J Proteome Res       Date:  2021-03-17       Impact factor: 4.466

7.  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

8.  Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics.

Authors:  Mathias Wilhelm; Daniel P Zolg; Michael Graber; Siegfried Gessulat; Tobias Schmidt; Karsten Schnatbaum; Celina Schwencke-Westphal; Philipp Seifert; Niklas de Andrade Krätzig; Johannes Zerweck; Tobias Knaute; Eva Bräunlein; Patroklos Samaras; Ludwig Lautenbacher; Susan Klaeger; Holger Wenschuh; Roland Rad; Bernard Delanghe; Andreas Huhmer; Steven A Carr; Karl R Clauser; Angela M Krackhardt; Ulf Reimer; Bernhard Kuster
Journal:  Nat Commun       Date:  2021-06-07       Impact factor: 14.919

9.  ProteomicsDB.

Authors:  Tobias Schmidt; Patroklos Samaras; Martin Frejno; Siegfried Gessulat; Maximilian Barnert; Harald Kienegger; Helmut Krcmar; Judith Schlegl; Hans-Christian Ehrlich; Stephan Aiche; Bernhard Kuster; Mathias Wilhelm
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

10.  ProteomicsDB: a multi-omics and multi-organism resource for life science research.

Authors:  Patroklos Samaras; Tobias Schmidt; Martin Frejno; Siegfried Gessulat; Maria Reinecke; Anna Jarzab; Jana Zecha; Julia Mergner; Piero Giansanti; Hans-Christian Ehrlich; Stephan Aiche; Johannes Rank; Harald Kienegger; Helmut Krcmar; Bernhard Kuster; Mathias Wilhelm
Journal:  Nucleic Acids Res       Date:  2020-01-08       Impact factor: 16.971

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