Literature DB >> 11281836

Peptidomics: the comprehensive analysis of peptides in complex biological mixtures.

P Schulz-Knappe1, H D Zucht, G Heine, M Jürgens, R Hess, M Schrader.   

Abstract

Progress in the sequencing of genomes has resulted in an increasing demand for a functional analysis of gene products in order to understand the underlying physiology. Proteomics has established itself as a highly valuable technology for producing functionally related data in an unparalleled fashion, but is methodologically restricted to the analysis of proteins with higher molecular masses (>10 kDa). The development of a technology which covers peptides with low molecular weight and small proteins (0.5 to 15 kDa) was necessary, since peptides, amongst them families of hormones, cytokines and growth factors, play a central role in many biological processes. To summarise the technologies used for this approach the term "peptidomics" is introduced. In this article, we present the rationale and first results of a novel, universal peptide display approach for the analysis and visualisation of peptides and small proteins from biological samples. Special attention is given to samples derived from extracellular fluids such as blood plasma and cerebrospinal fluid. Additionally, a high throughput identification procedure for the analysis of peptides in their native and processed molecular form is outlined.

Mesh:

Substances:

Year:  2001        PMID: 11281836     DOI: 10.2174/1386207013331246

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


  14 in total

1.  Peptidomic analysis of human peripheral monocytes persistently infected by Chlamydia trachomatis.

Authors:  Birgit Krausse-Opatz; Annette Busmann; Harald Tammen; Christoph Menzel; Thomas Möhring; Nicolas Le Yondre; Cornelia Schmidt; Peter Schulz-Knappe; Henning Zeidler; Hartmut Selle; Lars Köhler
Journal:  Med Microbiol Immunol       Date:  2007-01-06       Impact factor: 3.402

2.  Development and evaluation of normalization methods for label-free relative quantification of endogenous peptides.

Authors:  Kim Kultima; Anna Nilsson; Birger Scholz; Uwe L Rossbach; Maria Fälth; Per E Andrén
Journal:  Mol Cell Proteomics       Date:  2009-07-12       Impact factor: 5.911

Review 3.  Analysis of mouse brain peptides using mass spectrometry-based peptidomics: implications for novel functions ranging from non-classical neuropeptides to microproteins.

Authors:  Lloyd D Fricker
Journal:  Mol Biosyst       Date:  2010-04-28

4.  Protein quantitation using mass spectrometry.

Authors:  Guoan Zhang; Beatrix M Ueberheide; Sofia Waldemarson; Sunnie Myung; Kelly Molloy; Jan Eriksson; Brian T Chait; Thomas A Neubert; David Fenyö
Journal:  Methods Mol Biol       Date:  2010

5.  Analysis of peptides secreted from cultured mouse brain tissue.

Authors:  Julia S Gelman; Sayani Dasgupta; Iryna Berezniuk; Lloyd D Fricker
Journal:  Biochim Biophys Acta       Date:  2013-02-10

6.  Analysis of peptides by denaturing ultrafiltration and LC-MALDI-TOF-MS.

Authors:  Yanming An; Radoslav Goldman
Journal:  Methods Mol Biol       Date:  2013

7.  Determining the calibration of confidence estimation procedures for unique peptides in shotgun proteomics.

Authors:  Viktor Granholm; José Fernández Navarro; William Stafford Noble; Lukas Käll
Journal:  J Proteomics       Date:  2012-12-23       Impact factor: 4.044

Review 8.  Sample preparation techniques for the untargeted LC-MS-based discovery of peptides in complex biological matrices.

Authors:  Inez Finoulst; Martijn Pinkse; William Van Dongen; Peter Verhaert
Journal:  J Biomed Biotechnol       Date:  2011-12-12

9.  PepBank--a database of peptides based on sequence text mining and public peptide data sources.

Authors:  Timur Shtatland; Daniel Guettler; Misha Kossodo; Misha Pivovarov; Ralph Weissleder
Journal:  BMC Bioinformatics       Date:  2007-08-01       Impact factor: 3.169

10.  Alterations of the intracellular peptidome in response to the proteasome inhibitor bortezomib.

Authors:  Julia S Gelman; Juan Sironi; Iryna Berezniuk; Sayani Dasgupta; Leandro M Castro; Fabio C Gozzo; Emer S Ferro; Lloyd D Fricker
Journal:  PLoS One       Date:  2013-01-07       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.