Literature DB >> 24856176

In situ stability of substrate-associated cellulases studied by DSC.

Kadri Alasepp1, Kim Borch, Nicolaj Cruys-Bagger, Silke Badino, Kenneth Jensen, Trine H Sørensen, Michael S Windahl, Peter Westh.   

Abstract

This work shows that differential scanning calorimetry (DSC) can be used to monitor the stability of substrate-adsorbed cellulases during long-term hydrolysis of insoluble cellulose. Thermal transitions of adsorbed enzyme were measured regularly in subsets of a progressing hydrolysis, and the size of the transition peak was used as a gauge of the population of native enzyme. Analogous measurements were made for enzymes in pure buffer. Investigations of two cellobiohydrolases, Cel6A and Cel7A, from Trichoderma reesei, which is an anamorph of the fungus Hypocrea jerorina, showed that these enzymes were essentially stable at 25 °C. Thus, over a 53 h experiment, Cel6A lost less than 15% of the native population and Cel7A showed no detectable loss for either the free or substrate-adsorbed state. At higher temperatures we found significant losses in the native populations, and at the highest tested temperature (49 °C) about 80% Cel6A and 35% of Cel7A was lost after 53 h of hydrolysis. The data consistently showed that Cel7A was more long-term stable than Cel6A and that substrate-associated enzyme was less long-term stable than enzyme in pure buffer stored under otherwise equal conditions. There was no correlation between the intrinsic stability, specified by the transition temperature in the DSC, and the long-term stability derived from the peak area. The results are discussed with respect to the role of enzyme denaturation for the ubiquitous slowdown observed in the enzymatic hydrolysis of cellulose.

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Year:  2014        PMID: 24856176     DOI: 10.1021/la500161e

Source DB:  PubMed          Journal:  Langmuir        ISSN: 0743-7463            Impact factor:   3.882


  7 in total

1.  Temperature Effects on Kinetic Parameters and Substrate Affinity of Cel7A Cellobiohydrolases.

Authors:  Trine Holst Sørensen; Nicolaj Cruys-Bagger; Michael Skovbo Windahl; Silke Flindt Badino; Kim Borch; Peter Westh
Journal:  J Biol Chem       Date:  2015-07-16       Impact factor: 5.157

2.  Systematic deletions in the cellobiohydrolase (CBH) Cel7A from the fungus Trichoderma reesei reveal flexible loops critical for CBH activity.

Authors:  Corinna Schiano-di-Cola; Nanna Røjel; Kenneth Jensen; Jeppe Kari; Trine Holst Sørensen; Kim Borch; Peter Westh
Journal:  J Biol Chem       Date:  2018-12-11       Impact factor: 5.157

3.  Kinetics of cellobiohydrolase (Cel7A) variants with lowered substrate affinity.

Authors:  Jeppe Kari; Johan Olsen; Kim Borch; Nicolaj Cruys-Bagger; Kenneth Jensen; Peter Westh
Journal:  J Biol Chem       Date:  2014-09-30       Impact factor: 5.157

4.  Free Energy Diagram for the Heterogeneous Enzymatic Hydrolysis of Glycosidic Bonds in Cellulose.

Authors:  Trine Holst Sørensen; Nicolaj Cruys-Bagger; Kim Borch; Peter Westh
Journal:  J Biol Chem       Date:  2015-07-16       Impact factor: 5.157

5.  Probing substrate interactions in the active tunnel of a catalytically deficient cellobiohydrolase (Cel7).

Authors:  Francieli Colussi; Trine H Sørensen; Kadri Alasepp; Jeppe Kari; Nicolaj Cruys-Bagger; Michael S Windahl; Johan P Olsen; Kim Borch; Peter Westh
Journal:  J Biol Chem       Date:  2014-12-04       Impact factor: 5.157

6.  A sustainable approach for cotton bioscouring: reuse of the pectate lyase containing treatment bath.

Authors:  Bruna Lyra Colombi; Marlon David Palozi; Rita de Cássia Siqueira Curto Valle; Jürgen Andreaus; Manuel José Lis Arias; José Alexandre Borges Valle
Journal:  Bioprocess Biosyst Eng       Date:  2022-07-23       Impact factor: 3.434

7.  Cellulose surface degradation by a lytic polysaccharide monooxygenase and its effect on cellulase hydrolytic efficiency.

Authors:  Manuel Eibinger; Thomas Ganner; Patricia Bubner; Stephanie Rošker; Daniel Kracher; Dietmar Haltrich; Roland Ludwig; Harald Plank; Bernd Nidetzky
Journal:  J Biol Chem       Date:  2014-10-31       Impact factor: 5.157

  7 in total

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