首页> 美国卫生研究院文献>other >Activity-based protein profiling of secreted cellulolytic enzyme activity dynamics in Trichoderma reesei QM6a NG14 and RUT-C30
【2h】

Activity-based protein profiling of secreted cellulolytic enzyme activity dynamics in Trichoderma reesei QM6a NG14 and RUT-C30

机译:里氏木霉QM6aNG14和RUT-C30中分泌的纤维素分解酶活性动态的基于活性的蛋白谱分析

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Lignocellulosic biomass has great promise as a highly abundant and renewable source for the production of biofuels. However, the recalcitrant nature of lignocellulose toward hydrolysis into soluble sugars remains a significant challenge to harnessing the potential of this source of bioenergy. A primary method for deconstructing lignocellulose is via chemical treatments, high temperatures, and hydrolytic enzyme cocktails, many of which are derived from the fungus Trichoderma reesei. Herein, we use an activity-based probe for glycoside hydrolases to rapidly identify optimal conditions for maximum enzymatic lignocellulose deconstruction. We also demonstrate that subtle changes to enzyme composition and activity in various strains of T. reesei can be readily characterized by our probe approach. The approach also permits multimodal measurements, including fluorescent gel-based analysis of activity in response to varied conditions and treatments, and mass spectrometry-based quantitative identification of labelled proteins. We demonstrate the promise this probe approach holds to facilitate rapid production of enzyme cocktails for high-efficiency lignocellulose deconstruction to accommodate high-yield biofuel production.
机译:木质纤维素生物质作为生产生物燃料的高度丰富和可再生来源具有广阔的前景。然而,木质纤维素难以水解为可溶糖的性质对于利用这种生物能源的潜力仍然是一项重大挑战。解构木质纤维素的主要方法是通过化学处理,高温和水解酶混合物,其中许多都来自里氏木霉属真菌。在这里,我们使用基于活性的糖苷水解酶探针,以快速确定最大酶解木质纤维素解构的最佳条件。我们还证明,通过我们的探针方法可以很容易地表征里氏木霉各种菌株中酶组成和活性的细微变化。该方法还允许进行多峰测量,包括对各种条件和治疗做出响应的基于荧光凝胶的活性分析,以及基于质谱的标记蛋白质的定量鉴定。我们证明了这种探针方法所带来的希望,即促进酶混合物的快速生产,以进行高效的木质纤维素解构,以适应高产量的生物燃料生产。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号