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Activity-based protein profiling as a robust method for enzyme identification and screening in extremophilic Archaea
- Source :
- Nature Communications, Vol 8, Iss 1, Pp 1-12 (2017), Nature Communications
- Publication Year :
- 2017
- Publisher :
- Nature Portfolio, 2017.
-
Abstract
- Archaea are characterized by a unique life style in often environmental extremes but their thorough investigation is currently hampered by a limited set of suitable in vivo research methodologies. Here, we demonstrate that in vivo activity-based protein profiling (ABPP) may be used to sensitively detect either native or heterogeneously expressed active enzymes in living archaea even under these extreme conditions. In combination with the development of a genetically engineered archaeal screening strain, ABPP can furthermore be used in functional enzyme screenings from (meta)genome samples. We anticipate that our ABPP approach may therefore find application in basic archaeal research but also in the discovery of novel enzymes from (meta)genome libraries.<br />Activity-based protein profiling (ABPP) is a chemical proteomics method to profile activity states of enzymes under physiological conditions. Here the authors show that ABPP can be applied to archaeal serine hydrolases in the model organism Sulfolobus acidocaldarius and can be used to identify novel putative serine hydrolases.
- Subjects :
- Proteomics
0301 basic medicine
Hydrolases
Archaeal Proteins
Science
030106 microbiology
Chemie
General Physics and Astronomy
Computational biology
Biology
Genome
Mass Spectrometry
Article
General Biochemistry, Genetics and Molecular Biology
Microbiology
Extremophiles
03 medical and health sciences
Serine
chemistry.chemical_classification
Multidisciplinary
Genetically engineered
Strain (biology)
fungi
Activity-based proteomics
Reproducibility of Results
food and beverages
General Chemistry
biology.organism_classification
3. Good health
Protein profiling
030104 developmental biology
Enzyme
chemistry
Identification (biology)
Biologie
Archaea
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 8
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Nature Communications
- Accession number :
- edsair.doi.dedup.....2bd02200549eefd090432431479a629a