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A mechanism-based ICAT strategy for comparing relative expression and activity levels of glycosidases in biological systems.
- Source :
-
Journal of proteome research [J Proteome Res] 2008 Aug; Vol. 7 (8), pp. 3282-92. Date of Electronic Publication: 2008 Jun 19. - Publication Year :
- 2008
-
Abstract
- An activity-based isotope-coded affinity tagging (AB-ICAT) strategy for proteome-wide quantitation of active retaining endoglycosidases has been developed. Two pairs of biotinylated, cleavable, AB-ICAT reagents (light H(8) and heavy D(8)) have been synthesized, one incorporating a recognition element for cellulases and the other incorporating a recognition element for xylanases. The accuracy of the AB-ICAT methodology in quantifying relative glycosidase expression/activity levels in any two samples of interest has been verified using several pairs of model enzyme mixtures where one or more enzyme amounts and/or activities were varied. The methodology has been applied to the biomass-degrading secretomes of the soil bacterium, Cellulomonas fimi, under induction by different polyglycan growth substrates to obtain a quantitative profile of the relative expression/activity levels of individual active retaining endoglycanases per C. fimi cell. Such biological profiles are valuable in understanding the strategies employed by biomass-degrading organisms in exploiting environments containing different biomass polysaccharides. This is the first report on the application of an activity-based ICAT method to a biological system.
- Subjects :
- Bacterial Proteins chemistry
Biomass
Cellulases chemistry
Cellulases metabolism
Deuterium
Disaccharides chemical synthesis
Disaccharides chemistry
Glucosides chemical synthesis
Glucosides chemistry
Glycoside Hydrolases chemistry
Hydrogen
Indicators and Reagents
Isotope Labeling
Proteome chemistry
Soil Microbiology
Spectrometry, Mass, Electrospray Ionization
Xylosidases chemistry
Xylosidases metabolism
Bacterial Proteins metabolism
Cellulomonas enzymology
Glycoside Hydrolases metabolism
Proteome metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1535-3893
- Volume :
- 7
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Journal of proteome research
- Publication Type :
- Academic Journal
- Accession number :
- 18563928
- Full Text :
- https://doi.org/10.1021/pr7008302