Literature DB >> 20437237

An optimized RNA amplification method for prokaryotic expression profiling analysis.

Feng-Lin Cao1, Han-Hua Liu, Ya-Hui Wang, Yu Liu, Xiao-Yu Zhang, Jian-Qing Zhao, Yi-Min Sun, Jin Zhou, Liang Zhang.   

Abstract

DNA microarray technology has been extensively used for gene expression analysis of both eukaryotic and prokaryotic organisms. For eukaryotic gene expression profiling, the poly(A)-based reverse transcription of messenger RNA (mRNA) followed by T7 RNA polymerase-based in vitro transcription is generally required to produce enough RNA targets for hybridization with the microarray chips. However, the same method cannot be directly applied to prokaryotic mRNAs due to the lack of poly(A) sequences at the 3' ends. Conventional methods usually require large amounts of starting RNAs and lead to high background noise. Recently developed amplification methods enable smaller amounts of prokaryotic RNA to be used from samples with species-specific primers, oligo(dT) primers, or random primers. In this study, three target preparation methods, including the direct labeling, polyadenylation-involved oligo-dT priming, and random priming amplification (respectively referred to as DL, PAOD, and RPA hereafter) were evaluated through expression profiling of a heat shock model of Escherichia coli. The PAOD method was found to be more sensitive and more specific in differential gene expression measurements than either DL and RPA, even when the E. coli RNA was only a small proportion of the simulated eukaryotic host RNA. The results suggest that PAOD is the preferred target preparation method for prokaryotic transcriptome.

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Year:  2010        PMID: 20437237     DOI: 10.1007/s00253-010-2459-9

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  7 in total

1.  Whole-genome transcriptional analysis of Escherichia coli during heat inactivation processes related to industrial cooking.

Authors:  A Guernec; P Robichaud-Rincon; L Saucier
Journal:  Appl Environ Microbiol       Date:  2013-06-14       Impact factor: 4.792

2.  Multiple propionyl coenzyme A-supplying pathways for production of the bioplastic poly(3-hydroxybutyrate-co-3-hydroxyvalerate) in Haloferax mediterranei.

Authors:  Jing Han; Jing Hou; Fan Zhang; Guomin Ai; Ming Li; Shuangfeng Cai; Hailong Liu; Lei Wang; Zejian Wang; Siliang Zhang; Lei Cai; Dahe Zhao; Jian Zhou; Hua Xiang
Journal:  Appl Environ Microbiol       Date:  2013-02-22       Impact factor: 4.792

3.  Analysis of the transcriptional regulator GlpR, promoter elements, and posttranscriptional processing involved in fructose-induced activation of the phosphoenolpyruvate-dependent sugar phosphotransferase system in Haloferax mediterranei.

Authors:  Lei Cai; Shuangfeng Cai; Dahe Zhao; Jinhua Wu; Lei Wang; Xiaoqing Liu; Ming Li; Jing Hou; Jian Zhou; Jingfang Liu; Jing Han; Hua Xiang
Journal:  Appl Environ Microbiol       Date:  2013-12-13       Impact factor: 4.792

4.  Multiple replication origins with diverse control mechanisms in Haloarcula hispanica.

Authors:  Zhenfang Wu; Jingfang Liu; Haibo Yang; Hailong Liu; Hua Xiang
Journal:  Nucleic Acids Res       Date:  2013-11-22       Impact factor: 16.971

5.  Polyphenols from olive mill waste affect biofilm formation and motility in Escherichia coli K-12.

Authors:  Lisa Carraro; Luca Fasolato; Filomena Montemurro; Maria Elena Martino; Stefania Balzan; Maurizio Servili; Enrico Novelli; Barbara Cardazzo
Journal:  Microb Biotechnol       Date:  2014-03-15       Impact factor: 5.813

Review 6.  Extraction of bacterial RNA from soil: challenges and solutions.

Authors:  Yong Wang; Masahito Hayatsu; Takeshi Fujii
Journal:  Microbes Environ       Date:  2012       Impact factor: 2.912

7.  Transcriptome-Stable Isotope Probing Provides Targeted Functional and Taxonomic Insights Into Microaerobic Pollutant-Degrading Aquifer Microbiota.

Authors:  Lauren M Bradford; Gisle Vestergaard; András Táncsics; Baoli Zhu; Michael Schloter; Tillmann Lueders
Journal:  Front Microbiol       Date:  2018-11-13       Impact factor: 5.640

  7 in total

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