Systems biological approaches towards understanding cellulase production by Trichoderma reesei.
Systems biological approaches towards understanding cellulase production by Trichoderma reesei.
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DOI：
10.1016/j.jbiotec.2012.05.020
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发表时间：
2013-01-20
影响因子：
4.1
通讯作者：
Kubicek, Christian P.
中科院分区：
文献类型：
--
作者：
Kubicek, Christian P.
►首次对里氏木霉进行系统生物学综述。里氏木霉与其他木霉的►First‘组学比较►的组学结果提供了对生物质水解酶的新理解。给出了进一步研究的►路线。“组学”技术的最新进展和改进使得通过综合的全基因组方法来研究生物体的生理学成为可能。这样做的好处是，可以研究整体反应，而不是生物体内孤立的路径和回路(“系统生物学”)。里氏木霉(Teleomomph Hypocrea Jecorina)是一种真菌，它是生物质降解酶的主要生产者，利用可再生的木质纤维材料生产生物燃料和生物精炼产品。里氏木霉基因组的测序为在基因组范围内研究这种生物及其酶的生产提供了可能性。在这篇综述中，我将重点介绍基因组学、转录组学、蛋白质组学和代谢组学的应用，以便更好地、更新地理解与分泌蛋白大量过剩有关的生化过程。
► First systems biology review on Trichoderma reesei. ► First ‘omics comparison of Trichoderma reesei and other Trichoderma spp. ► The ‘omics results offer novel understanding of biomass hydrolyzing enzymes. ► Routes for further research are illustrated. Recent progress and improvement in “-omics” technologies has made it possible to study the physiology of organisms by integrated and genome-wide approaches. This bears the advantage that the global response, rather than isolated pathways and circuits within an organism, can be investigated (“systems biology”). The sequencing of the genome of Trichoderma reesei (teleomorph Hypocrea jecorina), a fungus that serves as a major producer of biomass-degrading enzymes for the use of renewable lignocellulosic material towards production of biofuels and biorefineries, has offered the possibility to study this organism and its enzyme production on a genome wide scale. In this review, I will highlight the use of genomics, transcriptomics, proteomics and metabolomics towards an improved and novel understanding of the biochemical processes that involve in the massive overproduction of secreted proteins.
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影响因子：
6.3
作者：
Kubicek CP;Mikus M;Schuster A;Schmoll M;Seiboth B
通讯作者：
Seiboth B
影响因子：
12.3
作者：
Kubicek CP;Herrera-Estrella A;Seidl-Seiboth V;Martinez DA;Druzhinina IS;Thon M;Zeilinger S;Casas-Flores S;Horwitz BA;Mukherjee PK;Mukherjee M;Kredics L;Alcaraz LD;Aerts A;Antal Z;Atanasova L;Cervantes-Badillo MG;Challacombe J;Chertkov O;McCluskey K;Coulpier F;Deshpande N;von Döhren H;Ebbole DJ;Esquivel-Naranjo EU;Fekete E;Flipphi M;Glaser F;Gómez-Rodríguez EY;Gruber S;Han C;Henrissat B;Hermosa R;Hernández-Oñate M;Karaffa L;Kosti I;Le Crom S;Lindquist E;Lucas S;Lübeck M;Lübeck PS;Margeot A;Metz B;Misra M;Nevalainen H;Omann M;Packer N;Perrone G;Uresti-Rivera EE;Salamov A;Schmoll M;Seiboth B;Shapiro H;Sukno S;Tamayo-Ramos JA;Tisch D;Wiest A;Wilkinson HH;Zhang M;Coutinho PM;Kenerley CM;Monte E;Baker SE;Grigoriev IV
通讯作者：
Grigoriev IV
基因表达和蛋白质生产率的相关性——一项系统范围的研究。
影响因子：
4.4
作者：
Arvas M;Pakula T;Smit B;Rautio J;Koivistoinen H;Jouhten P;Lindfors E;Wiebe M;Penttilä M;Saloheimo M
通讯作者：
Saloheimo M
影响因子：
11.4
作者：
Banerjee, Goutami;Car, Suzana;Walton, Jonathan D.
通讯作者：
Walton, Jonathan D.
影响因子：
3.7
作者：
Druzhinina IS;Komoń-Zelazowska M;Atanasova L;Seidl V;Kubicek CP
通讯作者：
Kubicek CP