Literature DB >> 21704745

iTRAQ-based quantitative proteomic analysis of Thermobifida fusca reveals metabolic pathways of cellulose utilization.

Sunil S Adav1, Chee Sheng Ng, Siu Kwan Sze.   

Abstract

Thermobifida fusca is an aerobic, thermophilic, cellulose degrading bacterium identified in heated organic materials. This study applied iTRAQ quantitative proteomic analysis to the cellular and membrane proteomes of T. fusca grown in presence and absence of cellulose to elucidate the cellular processes induced by cellulose nutrient. Using an iTRAQ-based quantitative proteomic approach, 783 cytosolic and 181 membrane proteins expressed during cellulose hydrolysis were quantified with ≤1% false discovery rate. The comparative iTRAQ quantification revealed considerable induction in the expression levels and up-regulation of specific proteins in cellulosic medium than non-cellulosic medium. The regulated proteins in cellulosic medium were grouped under central carbohydrate metabolism such as glycolysis/gluconeogenesis, pentose phosphate pathways, citric acid cycle, starch, sugars, pyruvate, propanoate and butanoate metabolism; energy metabolism that includes oxidative phosphorylation, nitrogen, methane and sulfur metabolism; fatty acid metabolism, amino acid metabolic pathways, purine and pyrimidine metabolism, and main cellular genetic information processing functions like replication, transcription, translation, and cell wall synthesis; and environmental information processing (membrane transport and signal transduction). The results demonstrated cellulose induced several metabolic pathways during cellulose utilization.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21704745     DOI: 10.1016/j.jprot.2011.05.038

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  9 in total

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Journal:  Curr Microbiol       Date:  2017-07-22       Impact factor: 2.188

2.  iTRAQ-based analysis of developmental dynamics in the soybean leaf proteome reveals pathways associated with leaf photosynthetic rate.

Authors:  Jun Qin; Jianan Zhang; Duan Liu; Changcheng Yin; Fengmin Wang; Pengyin Chen; Hao Chen; Jinbing Ma; Bo Zhang; Jin Xu; Mengchen Zhang
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3.  iTRAQ-facilitated proteomic analysis of Bacillus cereus via degradation of malachite green.

Authors:  Bobo Wang; Jing Lu; Junfang Zheng; Zhisheng Yu
Journal:  J Microbiol       Date:  2021-02-01       Impact factor: 3.422

4.  Quantitative secretomic analysis of Trichoderma reesei strains reveals enzymatic composition for lignocellulosic biomass degradation.

Authors:  Sunil S Adav; Lim Tze Chao; Siu Kwan Sze
Journal:  Mol Cell Proteomics       Date:  2012-02-20       Impact factor: 5.911

5.  The Hybrid Strategy of Thermoactinospora rubra YIM 77501T for Utilizing Cellulose as a Carbon Source at Different Temperatures.

Authors:  Yi-Rui Yin; Zhao-Hui Meng; Qing-Wen Hu; Zhao Jiang; Wen-Dong Xian; Lin-Hua Li; Wei Hu; Feng Zhang; En-Min Zhou; Xiao-Yang Zhi; Wen-Jun Li
Journal:  Front Microbiol       Date:  2017-05-29       Impact factor: 5.640

6.  Metabolic Profile of the Cellulolytic Industrial Actinomycete Thermobifida fusca.

Authors:  Niti Vanee; J Paul Brooks; Stephen S Fong
Journal:  Metabolites       Date:  2017-11-11

7.  Effects of amino acids on the lignocellulose degradation by Aspergillus fumigatus Z5: insights into performance, transcriptional, and proteomic profiles.

Authors:  Jiaxi Miao; Mengmeng Wang; Lei Ma; Tuo Li; Qiwei Huang; Dongyang Liu; Qirong Shen
Journal:  Biotechnol Biofuels       Date:  2019-01-04       Impact factor: 6.040

8.  Proteomic analysis of elite soybean Jidou17 and its parents using iTRAQ-based quantitative approaches.

Authors:  Jun Qin; Feng Gu; Duan Liu; Changcheng Yin; Shuangjin Zhao; Hao Chen; Jianan Zhang; Chunyan Yang; Xu Zhan; Mengchen Zhang
Journal:  Proteome Sci       Date:  2013-03-26       Impact factor: 2.480

9.  Secretome diversity and quantitative analysis of cellulolytic Aspergillus fumigatus Z5 in the presence of different carbon sources.

Authors:  Dongyang Liu; Juan Li; Shuang Zhao; Ruifu Zhang; Mengmeng Wang; Youzhi Miao; Yifei Shen; Qirong Shen
Journal:  Biotechnol Biofuels       Date:  2013-10-16       Impact factor: 6.040

  9 in total

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