Literature DB >> 15988981

Limitations of current proteomics technologies.

Spyros Garbis1, Gert Lubec, Michael Fountoulakis.   

Abstract

Application of proteomics technologies in the investigation of biological systems creates new possibilities in the elucidation of biopathomechanisms and the discovery of novel drug targets and early disease markers. A proteomic analysis involves protein separation and protein identification as well as characterization of the post-translational modifications. Proteomics has been applied in the investigation of various disorders, like neurological diseases, and the application has resulted in the detection of a large number of differences in the levels and the modifications of proteins between healthy and diseased states. However, the current proteomics technologies are still under development and show certain limitations. In this article, we discuss the major drawbacks and pitfalls of proteomics we have observed in our laboratory and in particular during the application of proteomics technologies in the investigation of the brain.

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Year:  2005        PMID: 15988981     DOI: 10.1016/j.chroma.2005.04.059

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  49 in total

Review 1.  Proteomic studies on the development of the central nervous system and beyond.

Authors:  Chenggang Zhang
Journal:  Neurochem Res       Date:  2010-06-25       Impact factor: 3.996

2.  Relative quantitation of protein nitration by liquid chromatography-mass spectrometry using isotope-coded dimethyl labeling and chemoprecipitation.

Authors:  Jia Guo; Katalin Prokai-Tatrai; Laszlo Prokai
Journal:  J Chromatogr A       Date:  2012-01-09       Impact factor: 4.759

3.  Characterization of voltage degradation in dynamic field gradient focusing.

Authors:  Jeffrey M Burke; Cornelius F Ivory
Journal:  Electrophoresis       Date:  2008-03       Impact factor: 3.535

Review 4.  Proteomics of the human placenta: promises and realities.

Authors:  J M Robinson; W E Ackerman; D A Kniss; T Takizawa; D D Vandré
Journal:  Placenta       Date:  2008-01-28       Impact factor: 3.481

5.  A new method for 2D gel spot alignment: application to the analysis of large sample sets in clinical proteomics.

Authors:  Sabine Pérès; Laurence Molina; Nicolas Salvetat; Claude Granier; Franck Molina
Journal:  BMC Bioinformatics       Date:  2008-10-28       Impact factor: 3.169

Review 6.  Two-dimensional protein electrophoresis: from molecular pathway discovery to biomarker discovery in neurological disorders.

Authors:  Leila H Choe; Brenda G Werner; Kelvin H Lee
Journal:  NeuroRx       Date:  2006-07

7.  Cypermethrin-induced nigrostriatal dopaminergic neurodegeneration alters the mitochondrial function: a proteomics study.

Authors:  Sonal Agrawal; Ashish Singh; Pratibha Tripathi; Manisha Mishra; Pradhyumna Kumar Singh; Mahendra Pratap Singh
Journal:  Mol Neurobiol       Date:  2014-04-24       Impact factor: 5.590

8.  Membrane localization of small proteins in Escherichia coli.

Authors:  Fanette Fontaine; Ryan T Fuchs; Gisela Storz
Journal:  J Biol Chem       Date:  2011-07-21       Impact factor: 5.157

9.  Harvest: an open-source tool for the validation and improvement of peptide identification metrics and fragmentation exploration.

Authors:  Leo C McHugh; Jonathan W Arthur
Journal:  BMC Bioinformatics       Date:  2010-09-06       Impact factor: 3.169

10.  Changes induced by dietary energy intake and divergent selection for muscle fat content in rainbow trout (Oncorhynchus mykiss), assessed by transcriptome and proteome analysis of the liver.

Authors:  Catherine-Ines Kolditz; Gilles Paboeuf; Maïena Borthaire; Diane Esquerré; Magali SanCristobal; Florence Lefèvre; Françoise Médale
Journal:  BMC Genomics       Date:  2008-10-29       Impact factor: 3.969

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