Literature DB >> 21863565

Application of RNA-seq to reveal the transcript profile in bacteria.

A C Pinto1, H P Melo-Barbosa, A Miyoshi, A Silva, V Azevedo.   

Abstract

The large number of microbial genomes deposited in databanks has opened the door for in-depth studies of organisms, including post-genomics investigations. Thanks to new generation sequencing technology, these studies have made advances that have lead to extraordinary discoveries in bacterial transcriptomics. In this review, we describe bacterial RNA sequencing studies that use these new techniques. We also examined the advantages and biases of these new generation technologies; advances in bioinformatics make it possible to overcome the biases, providing interesting and surprising results.

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Year:  2011        PMID: 21863565     DOI: 10.4238/vol10-3gmr1554

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  31 in total

1.  Antimicrobial nodule-specific cysteine-rich peptides induce membrane depolarization-associated changes in the transcriptome of Sinorhizobium meliloti.

Authors:  Hilda Tiricz; Attila Szucs; Attila Farkas; Bernadett Pap; Rui M Lima; Gergely Maróti; Éva Kondorosi; Attila Kereszt
Journal:  Appl Environ Microbiol       Date:  2013-08-30       Impact factor: 4.792

Review 2.  Emerging tools for synthetic genome design.

Authors:  Bo-Rahm Lee; Suhyung Cho; Yoseb Song; Sun Chang Kim; Byung-Kwan Cho
Journal:  Mol Cells       Date:  2013-05-02       Impact factor: 5.034

3.  SearchDOGS bacteria, software that provides automated identification of potentially missed genes in annotated bacterial genomes.

Authors:  Seán S Óhéigeartaigh; David Armisén; Kevin P Byrne; Kenneth H Wolfe
Journal:  J Bacteriol       Date:  2014-03-21       Impact factor: 3.490

4.  Integrated transcriptomic and proteomic analysis of the global response of Synechococcus to high light stress.

Authors:  Qian Xiong; Jie Feng; Si-ting Li; Gui-ying Zhang; Zhi-xian Qiao; Zhuo Chen; Ying Wu; Yan Lin; Tao Li; Feng Ge; Jin-dong Zhao
Journal:  Mol Cell Proteomics       Date:  2015-02-13       Impact factor: 5.911

5.  Response to copper stress in Streptomyces lividans extends beyond genes under direct control of a copper-sensitive operon repressor protein (CsoR).

Authors:  Srivatsa Dwarakanath; Amanda K Chaplin; Michael A Hough; Sébastien Rigali; Erik Vijgenboom; Jonathan A R Worrall
Journal:  J Biol Chem       Date:  2012-03-26       Impact factor: 5.157

6.  Analysis of strand-specific RNA-seq data using machine learning reveals the structures of transcription units in Clostridium thermocellum.

Authors:  Wen-Chi Chou; Qin Ma; Shihui Yang; Sha Cao; Dawn M Klingeman; Steven D Brown; Ying Xu
Journal:  Nucleic Acids Res       Date:  2015-03-12       Impact factor: 16.971

7.  Integrated transcriptomic and proteomic analysis of the bile stress response in a centenarian-originated probiotic Bifidobacterium longum BBMN68.

Authors:  Haoran An; François P Douillard; Guohong Wang; Zhengyuan Zhai; Jin Yang; Shuhui Song; Jianyun Cui; Fazheng Ren; Yunbo Luo; Bing Zhang; Yanling Hao
Journal:  Mol Cell Proteomics       Date:  2014-06-25       Impact factor: 5.911

8.  Global transcriptome analysis of hexavalent chromium stress responses in Staphylococcus aureus LZ-01.

Authors:  Xiaowei Zhang; Wenyang Wu; Nolan Virgo; Luming Zou; Pu Liu; Xiangkai Li
Journal:  Ecotoxicology       Date:  2014-08-03       Impact factor: 2.823

9.  Comparison of transcriptomes of wild-type and isothiazolone-resistant Pseudomonas aeruginosa by using RNA-seq.

Authors:  Gang Zhou; Qing-Shan Shi; Xiao-Mo Huang; Xiao-Bao Xie
Journal:  Mol Biol Rep       Date:  2016-04-12       Impact factor: 2.316

10.  Interactions between closely related bacterial strains are revealed by deep transcriptome sequencing.

Authors:  Pedro González-Torres; Leszek P Pryszcz; Fernando Santos; Manuel Martínez-García; Toni Gabaldón; Josefa Antón
Journal:  Appl Environ Microbiol       Date:  2015-10-02       Impact factor: 4.792

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