• Something wrong with this record ?

An automated method to evaluate the enzyme kinetics of β-glucosidases

P. Klimeš, P. Mazura, D. Turek, B. Brzobohatý,

. 2017 ; 26 (2) : 382-388. [pub] 20161124

Language English Country United States

Document type Journal Article

E-resources Online Full text

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

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

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...