Literature DB >> 25429922

Current peptidomics: applications, purification, identification, quantification, and functional analysis.

David C Dallas1, Andres Guerrero, Evan A Parker, Randall C Robinson, Junai Gan, J Bruce German, Daniela Barile, Carlito B Lebrilla.   

Abstract

Peptidomics is an emerging field branching from proteomics that targets endogenously produced protein fragments. Endogenous peptides are often functional within the body-and can be both beneficial and detrimental. This review covers the use of peptidomics in understanding digestion, and identifying functional peptides and biomarkers. Various techniques for peptide and glycopeptide extraction, both at analytical and preparative scales, and available options for peptide detection with MS are discussed. Current algorithms for peptide sequence determination, and both analytical and computational techniques for quantification are compared. Techniques for statistical analysis, sequence mapping, enzyme prediction, and peptide function, and structure prediction are explored.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Functional prediction; MS; Peptidomics; Quantitation; Structure prediction; Systems biology

Mesh:

Substances:

Year:  2015        PMID: 25429922      PMCID: PMC4371869          DOI: 10.1002/pmic.201400310

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


  151 in total

1.  Open mass spectrometry search algorithm.

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Journal:  J Proteome Res       Date:  2004 Sep-Oct       Impact factor: 4.466

Review 2.  Urine peptidomics for clinical biomarker discovery.

Authors:  Xuefeng B Ling; Elizabeth D Mellins; Karl G Sylvester; Harvey J Cohen
Journal:  Adv Clin Chem       Date:  2010       Impact factor: 5.394

3.  Relationship between surface hydrophilicity of a protein and its stability against denaturation by organic solvents.

Authors:  Y L Khmelnitsky; A B Belova; A V Levashov; V V Mozhaev
Journal:  FEBS Lett       Date:  1991-06-24       Impact factor: 4.124

4.  PepNovo: de novo peptide sequencing via probabilistic network modeling.

Authors:  Ari Frank; Pavel Pevzner
Journal:  Anal Chem       Date:  2005-02-15       Impact factor: 6.986

5.  A label-free nano-liquid chromatography-mass spectrometry approach for quantitative serum peptidomics in Crohn's disease patients.

Authors:  Paolo Nanni; Fredrik Levander; Giulia Roda; Alessandra Caponi; Peter James; Aldo Roda
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2009-08-07       Impact factor: 3.205

Review 6.  Capillary electrophoresis-mass spectrometry as a powerful tool in clinical diagnosis and biomarker discovery.

Authors:  Walter Kolch; Christian Neusüss; Matthias Pelzing; Harald Mischak
Journal:  Mass Spectrom Rev       Date:  2005 Nov-Dec       Impact factor: 10.946

7.  Urinary proteomic biomarkers in coronary artery disease.

Authors:  Lukas U Zimmerli; Eric Schiffer; Petra Zürbig; David M Good; Markus Kellmann; Laetitia Mouls; Andrew R Pitt; Joshua J Coon; Roland E Schmieder; Karlheinz H Peter; Harald Mischak; Walter Kolch; Christian Delles; Anna F Dominiczak
Journal:  Mol Cell Proteomics       Date:  2007-10-19       Impact factor: 5.911

8.  Highly selective enrichment of phosphorylated peptides using titanium dioxide.

Authors:  Tine E Thingholm; Thomas J D Jørgensen; Ole N Jensen; Martin R Larsen
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

Review 9.  The process chain for peptidomic biomarker discovery.

Authors:  Michael Schrader; Hartmut Selle
Journal:  Dis Markers       Date:  2006       Impact factor: 3.434

10.  Peptidome analysis of cerebrospinal fluid by LC-MALDI MS.

Authors:  Mikko Hölttä; Henrik Zetterberg; Ekaterina Mirgorodskaya; Niklas Mattsson; Kaj Blennow; Johan Gobom
Journal:  PLoS One       Date:  2012-08-06       Impact factor: 3.240

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  39 in total

Review 1.  Personalizing protein nourishment.

Authors:  David C Dallas; Megan R Sanctuary; Yunyao Qu; Shabnam Haghighat Khajavi; Alexandria E Van Zandt; Melissa Dyandra; Steven A Frese; Daniela Barile; J Bruce German
Journal:  Crit Rev Food Sci Nutr       Date:  2017-10-13       Impact factor: 11.176

2.  Absolute Quantitation of Oxidizable Peptides by Coulometric Mass Spectrometry.

Authors:  Pengyi Zhao; Richard N Zare; Hao Chen
Journal:  J Am Soc Mass Spectrom       Date:  2019-08-19       Impact factor: 3.109

Review 3.  Enzymes in Human Milk.

Authors:  David C Dallas; J Bruce German
Journal:  Nestle Nutr Inst Workshop Ser       Date:  2017-03-27

Review 4.  Peptidomics for the discovery and characterization of neuropeptides and hormones.

Authors:  Elena V Romanova; Jonathan V Sweedler
Journal:  Trends Pharmacol Sci       Date:  2015-07-01       Impact factor: 14.819

5.  Differential Post-Translational Amino Acid Isomerization Found among Neuropeptides in Aplysia californica.

Authors:  David H Mast; James W Checco; Jonathan V Sweedler
Journal:  ACS Chem Biol       Date:  2020-01-07       Impact factor: 5.100

6.  Identification of Antimicrobial Peptides from Novel Lactobacillus fermentum Strain.

Authors:  Anna S Pavlova; Georgii D Ozhegov; Georgij P Arapidi; Ivan O Butenko; Eduard S Fomin; Nikolai A Alemasov; Dmitry A Afonnikov; Dina R Yarullina; Vadim T Ivanov; Vadim M Govorun; Airat R Kayumov
Journal:  Protein J       Date:  2020-02       Impact factor: 2.371

7.  Quantitative Characterization of the Neuropeptide Level Changes in Dorsal Horn and Dorsal Root Ganglia Regions of the Murine Itch Models.

Authors:  Emily G Tillmaand; Krishna D B Anapindi; Eduardo A De La Toba; Changxiong J Guo; Jessica Krebs; Ashley E Lenhart; Qin Liu; Jonathan V Sweedler
Journal:  J Proteome Res       Date:  2020-02-03       Impact factor: 4.466

8.  Milk Peptidomics to Identify Functional Peptides and for Quality Control of Dairy Products.

Authors:  David Dallas; Søren Drud Nielsen
Journal:  Methods Mol Biol       Date:  2018

9.  Substrate-biased activity-based probes identify proteases that cleave receptor CDCP1.

Authors:  Thomas Kryza; Tashbib Khan; Scott Lovell; Brittney S Harrington; Julia Yin; Sean Porazinski; Marina Pajic; Hannu Koistinen; Juha K Rantala; Tobias Dreyer; Viktor Magdolen; Ute Reuning; Yaowu He; Edward W Tate; John D Hooper
Journal:  Nat Chem Biol       Date:  2021-04-15       Impact factor: 15.040

10.  An Algorithm to Improve the Speed of Semi and Non-Specific Enzyme Searches in Proteomics.

Authors:  Zach Rolfs; Robert J Millikin; Lloyd M Smith
Journal:  Curr Bioinform       Date:  2020       Impact factor: 3.543

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