Suppr超能文献

纤维素分解RoboLector——迈向用于重组纤维素酶表达的自动化高通量筛选平台

Cellulolytic RoboLector - towards an automated high-throughput screening platform for recombinant cellulase expression.

作者信息

Mühlmann Martina, Kunze Martin, Ribeiro Joaquim, Geinitz Bertram, Lehmann Christian, Schwaneberg Ulrich, Commandeur Ulrich, Büchs Jochen

机构信息

AVT-Chair for Biochemical Engineering, RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany.

Chair for Biotechnology, RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany.

出版信息

J Biol Eng. 2017 Jan 7;11:1. doi: 10.1186/s13036-016-0043-2. eCollection 2017.

Abstract

BACKGROUND

Cellulases are key player in the hydrolyzation of cellulose. Unfortunately, this reaction is slow and a bottleneck in the process chain from biomass to intermediates and biofuels due to low activities of the enzymes. To overcome this draw back, a lot of effort is put into the area of protein engineering, to modify these enzymes by directed evolution or rational design. Huge clone libraries are constructed and have to be screened for improved variants. High-throughput screening is the method of choice to tackle this experimental effort, but up to now only a few process steps are adapted to automated platforms and little attention has been turned to the reproducibility of clone rankings.

RESULTS

In this study, an extended robotic platform is presented to conduct automated high-throughput screenings of clone libraries including preculture synchronization and biomass specific induction. Automated upstream, downstream and analytical process steps are described and evaluated using and as model organisms. Conventional protocols for media preparation, cell lysis, Azo-CMC assay and PAHBAH assay are successfully adapted to automatable high-throughput protocols. Finally, a recombinant celA2 clone library was screened and a reliable clone ranking could be realized.

CONCLUSION

The RoboLector device is a suitable platform to perform all process steps of an automated high-throughput clone library screening for improved cellulases. On-line biomass growth measurement controlling liquid handling actions enables fair comparison of clone variants.

摘要

背景

纤维素酶是纤维素水解过程中的关键因素。不幸的是,由于这些酶的活性较低,该反应速度缓慢,成为从生物质到中间体及生物燃料的工艺链中的一个瓶颈。为克服这一缺点,人们在蛋白质工程领域投入了大量精力,通过定向进化或理性设计来改造这些酶。构建了庞大的克隆文库,必须对其进行筛选以获得改良变体。高通量筛选是应对这一实验工作的首选方法,但到目前为止,只有少数工艺步骤适用于自动化平台,且很少有人关注克隆排序的可重复性。

结果

在本研究中,展示了一个扩展的机器人平台,用于对克隆文库进行自动化高通量筛选,包括预培养同步化和生物质特异性诱导。描述并评估了使用[具体生物名称1]和[具体生物名称2]作为模式生物的自动化上游、下游及分析工艺步骤。用于培养基制备、细胞裂解、偶氮 - 羧甲基纤维素(Azo - CMC)测定和对羟基苯甲酸(PAHBAH)测定的传统方案已成功适用于可自动化的高通量方案。最后,对一个重组[具体名称]celA2克隆文库进行了筛选,并实现了可靠的克隆排序。

结论

RoboLector设备是一个合适的平台,可用于执行自动化高通量克隆文库筛选以获得改良纤维素酶的所有工艺步骤。在线生物质生长测量控制液体处理操作能够对克隆变体进行公平比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04da/5219752/3a6ec698be18/13036_2016_43_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验