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Proteomics: Technologies and applications

Authors: Mark P, Molloy; Frank A, Witzmann;

Proteomics: Technologies and applications

Abstract

Enabling technologies for proteomics (studies examining the protein complement of the genome) have been in development for over 20 years. However, more recently, the field has become formalized by combining the techniques for large-scale protein separation (two-dimensional electrophoresis) with very precise, high fidelity approaches to the analysis and characterisation of the separated proteins (mass spectrometry). These approaches bring to reality the powerful scope of proteomics, enabling the interpretation of cell physiology through profiling the molecular biodescriptors of gene expression, the proteins. Applications of proteomics are wide ranging and can be found within many disciplines, although one of the more developed fields that is examined here covers the arena of toxicological and pharmacological profiling. In this paper, the current technologies that make proteomics possible will be looked at. Some areas where proteomics has delivered valuable biological insight will also be considered, and there will be a look towards future areas of development.

Related Organizations
Keywords

Proteomics, Solubility, Proteins, Electrophoresis, Gel, Two-Dimensional, Hydrogen-Ion Concentration, Mass Spectrometry

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Average
Top 10%
Average
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