The molecular scanner: concept and developments

Autor: Carla Pasquarello, Garry L. Corthals, Christine Hoogland, Markus Müller, Ron D. Appel, Catherine Gabrielle Zimmermann, Pierre-Alain Binz, Denis F. Hochstrasser, Jean-Charles Sanchez
Rok vydání: 2004
Předmět:
Proteomics
Scanner
Biomedical Engineering
Bioengineering
Computational biology
Gene Expression Profiling/instrumentation/methods/trends
Mass spectrometry
User-Computer Interface
Sequence Analysis
Protein
Protein purification
Animals
Humans
Electrophoresis
Gel
Two-Dimensional
ddc:576
Proteins/analysis/chemistry
Chromatography
Proteomics/instrumentation/methods/trends
Electrophoresis
Gel
Two-Dimensional/instrumentation/methods
Chemistry
Gene Expression Profiling
Proteins
Equipment Design
Biological materials
Highly sensitive
Sequence Analysis
Protein/instrumentation/methods/trends
Spectrometry
Mass
Matrix-Assisted Laser Desorption-Ionization/instrumentation/methods/trends
Systems Integration
Spectrometry
Mass
Matrix-Assisted Laser Desorption-Ionization
Biotechnology/instrumentation/methods/trends
Proteome
Protein identification
Molecular imaging
Biotechnology
Zdroj: Current Opinion in Biotechnology, Vol. 15, No 1 (2004) pp. 17-23
ISSN: 0958-1669
Popis: Approaches aimed at deciphering the proteome have illustrated the need for relatively complex and highly sensitive methodologies. The major elements of proteome analysis, such as powerful protein separation and enzymatic processing, mass spectrometry and dedicated bioinformatics have been assembled in the development of the molecular scanner. This highly flexible and data-rich approach has combined the power of electrophoretic protein separation, the simultaneous digestion and transfer of proteins through an enzymatic membrane, the immediate use of the MALDI mass spectrometer to scan a collecting membrane, and the development of dedicated bioinformatics tools to perform protein identification and molecular imaging of the proteome. Clinical applications of the molecular scanner have also started to be developed for disease diagnosis in biological material.
Databáze: OpenAIRE
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