Literature DB >> 16464157

The peptidomics concept.

Peter Schulz-Knappe1, Michael Schrader, Hans-Dieter Zucht.   

Abstract

Peptides are a paramount example of how nature diversifies from one single gene to release multiple, regulated functionalities at the desired sites and time. To achieve this, peptides are sequentially generated by a complex network of more than 500 proteases, acting at intracellular sites, upon secretion, in extracellular environments, and, finally, serving (regulated) degradation. This cycle of maturation, activation, and degradation points out that the peptidome is mechanistically linked to the proteome: the distribution between both is regulated by proteases and counter-regulated by protease inhibitors. Given the high diversity of peptides in living systems and their involvement in key regulatory processes, a need for improved peptide discovery, ideally combining peptide sequence identification with peptide profiling, has emerged. Standard proteomic approaches are not suitable for a systematic peptide analysis, since they do not cover the low molecular mass window. The new direction in proteomic research to analyse this "terra incognita" is peptidomics. This novel concept aims at the comprehensive visualization and analysis of small polypeptides, thus covering the mass range between proteomics and metabonomics. The pacemakers for the development of peptidomics technologies are modern mass spectrometry and bioinformatics. They are ideally suited for sensitive and comprehensive peptide analysis, especially in combination with the massive information content of today's genomic and transcriptomic databases. Given the high diversity of native peptides in living systems, clinical chemistry and modern medicine are the prime application areas. The discovery of relevant peptide biomarkers and drug targets will strongly benefit from peptidomics.

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Year:  2005        PMID: 16464157     DOI: 10.2174/138620705774962418

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  17 in total

Review 1.  The blood peptidome: a higher dimension of information content for cancer biomarker discovery.

Authors:  Emanuel F Petricoin; Claudio Belluco; Robyn P Araujo; Lance A Liotta
Journal:  Nat Rev Cancer       Date:  2006-11-09       Impact factor: 60.716

2.  Peptidomic Analysis of Urine from Youths with Early Type 1 Diabetes Reveals Novel Bioactivity of Uromodulin Peptides In Vitro.

Authors:  Julie A D Van; Sergi Clotet-Freixas; Joyce Zhou; Ihor Batruch; Chunxiang Sun; Michael Glogauer; Luca Rampoldi; Yesmino Elia; Farid H Mahmud; Etienne Sochett; Eleftherios P Diamandis; James W Scholey; Ana Konvalinka
Journal:  Mol Cell Proteomics       Date:  2019-12-26       Impact factor: 5.911

3.  Mechanistic peptidomics: factors that dictate specificity in the formation of endogenous peptides in human milk.

Authors:  Andres Guerrero; David C Dallas; Stephanie Contreras; Sabrina Chee; Evan A Parker; Xin Sun; Lauren Dimapasoc; Daniela Barile; J Bruce German; Carlito B Lebrilla
Journal:  Mol Cell Proteomics       Date:  2014-08-29       Impact factor: 5.911

4.  Optimized sample preparation of endoscopic collected pancreatic fluid for SDS-PAGE analysis.

Authors:  Joao A Paulo; Linda S Lee; Bechien Wu; Kathryn Repas; Peter A Banks; Darwin L Conwell; Hanno Steen
Journal:  Electrophoresis       Date:  2010-07       Impact factor: 3.535

5.  Proteomic analysis of endoscopically (endoscopic pancreatic function test) collected gastroduodenal fluid using in-gel tryptic digestion followed by LC-MS/MS.

Authors:  Joao A Paulo; Linda S Lee; Bechien Wu; Kathryn Repas; Peter A Banks; Darwin L Conwell; Hanno Steen
Journal:  Proteomics Clin Appl       Date:  2010-09       Impact factor: 3.494

6.  Exploring the Sea Urchin Neuropeptide Landscape by Mass Spectrometry.

Authors:  Eric B Monroe; Suresh P Annangudi; Andinet A Wadhams; Timothy A Richmond; Ning Yang; Bruce R Southey; Elena V Romanova; Liliane Schoofs; Geert Baggerman; Jonathan V Sweedler
Journal:  J Am Soc Mass Spectrom       Date:  2018-04-17       Impact factor: 3.109

7.  Discrimination of different species from the genus Drosophila by intact protein profiling using matrix-assisted laser desorption ionization mass spectrometry.

Authors:  Ralph Feltens; Renate Görner; Stefan Kalkhof; Helke Gröger-Arndt; Martin von Bergen
Journal:  BMC Evol Biol       Date:  2010-04-07       Impact factor: 3.260

8.  Candidate markers for the detection of hepatocellular carcinoma in low-molecular weight fraction of serum.

Authors:  Radoslav Goldman; Habtom W Ressom; Mohamed Abdel-Hamid; Lenka Goldman; Antai Wang; Rency S Varghese; Yanming An; Christopher A Loffredo; Steven K Drake; Sohair A Eissa; Iman Gouda; Sameera Ezzat; Francoise Seillier Moiseiwitsch
Journal:  Carcinogenesis       Date:  2007-08-27       Impact factor: 4.944

Review 9.  Biomarker discovery in neurodegenerative diseases: a proteomic approach.

Authors:  Min Shi; W Michael Caudle; Jing Zhang
Journal:  Neurobiol Dis       Date:  2008-09-26       Impact factor: 5.996

10.  A new strategy for faster urinary biomarkers identification by Nano-LC-MALDI-TOF/TOF mass spectrometry.

Authors:  K Benkali; P Marquet; Jp Rérolle; Y Le Meur; Ln Gastinel
Journal:  BMC Genomics       Date:  2008-11-14       Impact factor: 3.969

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