-
Something wrong with this record ?
An automated method to evaluate the enzyme kinetics of β-glucosidases
P. Klimeš, P. Mazura, D. Turek, B. Brzobohatý,
Language English Country United States
Document type Journal Article
NLK
Free Medical Journals
from 1992 to 1 year ago
PubMed Central
from 1992 to 1 year ago
Europe PubMed Central
from 1992 to 1 year ago
Medline Complete (EBSCOhost)
from 2010-01-01 to 1 year ago
Wiley Free Content
from 1996 to 1 year ago
PubMed
27862518
DOI
10.1002/pro.3078
Knihovny.cz E-resources
- MeSH
- Automation MeSH
- beta-Glucosidase chemistry MeSH
- Catalysis MeSH
- Kinetics MeSH
- Zea mays enzymology MeSH
- Plant Proteins chemistry MeSH
- Publication type
- Journal Article MeSH
Enzyme kinetic measurements are important for the characterization and engineering of biocatalysts, with applications in a wide range of research fields. The measurement of initial reaction velocity is usually slow and laborious, which motivated us to explore the possibilities for automating this process. Our model enzyme is the maize β-glucosidase Zm-p60.1. Zm-p60.1 plays a significant role in plant growth and development by regulating levels of the active plant hormone cytokinin. Zm-p60.1 belongs to a wide group of hydrolytic enzymes. Members of this group hydrolyze several different types of glucosides, releasing glucose as a secondary product. Enzyme kinetic measurements using artificial substrates are well established, but burdensome and time-consuming. Thus, they are a suitable target for process automation. Simple optical methods for enzyme kinetic measurements using natural substrates are often impossible given the optical properties of the enzymatic reaction products. However, we have developed an automated method based on glucose detection, as glucose is released from all substrates of glucosidase reactions. The presented method can obtain 24 data points from up to 15 substrate concentrations to precisely describe the enzyme kinetics. The combination of an automated liquid handling process with assays that have been optimized for measuring the initial hydrolysis velocity of β-glucosidases yields two distinct methods that are faster, cheaper, and more accurate than the established protocols.
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc17031282
- 003
- CZ-PrNML
- 005
- 20171101114947.0
- 007
- ta
- 008
- 171025s2017 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1002/pro.3078 $2 doi
- 035 __
- $a (PubMed)27862518
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Klimeš, Pavel $u Department of Molecular Biology and Radiobiology, Laboratory of Plant Molecular Biology, Institute of Biophysics AS CR, v.v.i. and CEITEC-Central European Institute of Technology, Mendel University in Brno, Zemědělská 1, Brno, CZ-613 00, Czech Republic.
- 245 13
- $a An automated method to evaluate the enzyme kinetics of β-glucosidases / $c P. Klimeš, P. Mazura, D. Turek, B. Brzobohatý,
- 520 9_
- $a Enzyme kinetic measurements are important for the characterization and engineering of biocatalysts, with applications in a wide range of research fields. The measurement of initial reaction velocity is usually slow and laborious, which motivated us to explore the possibilities for automating this process. Our model enzyme is the maize β-glucosidase Zm-p60.1. Zm-p60.1 plays a significant role in plant growth and development by regulating levels of the active plant hormone cytokinin. Zm-p60.1 belongs to a wide group of hydrolytic enzymes. Members of this group hydrolyze several different types of glucosides, releasing glucose as a secondary product. Enzyme kinetic measurements using artificial substrates are well established, but burdensome and time-consuming. Thus, they are a suitable target for process automation. Simple optical methods for enzyme kinetic measurements using natural substrates are often impossible given the optical properties of the enzymatic reaction products. However, we have developed an automated method based on glucose detection, as glucose is released from all substrates of glucosidase reactions. The presented method can obtain 24 data points from up to 15 substrate concentrations to precisely describe the enzyme kinetics. The combination of an automated liquid handling process with assays that have been optimized for measuring the initial hydrolysis velocity of β-glucosidases yields two distinct methods that are faster, cheaper, and more accurate than the established protocols.
- 650 _2
- $a automatizace $7 D001331
- 650 _2
- $a katalýza $7 D002384
- 650 _2
- $a kinetika $7 D007700
- 650 _2
- $a rostlinné proteiny $x chemie $7 D010940
- 650 _2
- $a kukuřice setá $x enzymologie $7 D003313
- 650 _2
- $a beta-glukosidasa $x chemie $7 D001617
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Mazura, Pavel $u Department of Molecular Biology and Radiobiology, Laboratory of Plant Molecular Biology, Institute of Biophysics AS CR, v.v.i. and CEITEC-Central European Institute of Technology, Mendel University in Brno, Zemědělská 1, Brno, CZ-613 00, Czech Republic.
- 700 1_
- $a Turek, Dušan $u Department of Molecular Biology and Radiobiology, Laboratory of Plant Molecular Biology, Institute of Biophysics AS CR, v.v.i. and CEITEC-Central European Institute of Technology, Mendel University in Brno, Zemědělská 1, Brno, CZ-613 00, Czech Republic.
- 700 1_
- $a Brzobohatý, Břetislav $u Department of Molecular Biology and Radiobiology, Laboratory of Plant Molecular Biology, Institute of Biophysics AS CR, v.v.i. and CEITEC-Central European Institute of Technology, Mendel University in Brno, Zemědělská 1, Brno, CZ-613 00, Czech Republic.
- 773 0_
- $w MED00008270 $t Protein science a publication of the Protein Society $x 1469-896X $g Roč. 26, č. 2 (2017), s. 382-388
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/27862518 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20171025 $b ABA008
- 991 __
- $a 20171101115039 $b ABA008
- 999 __
- $a ok $b bmc $g 1254875 $s 992309
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2017 $b 26 $c 2 $d 382-388 $e 20161124 $i 1469-896X $m Protein science $n Protein Sci $x MED00008270
- LZP __
- $a Pubmed-20171025