An optimized RNA amplification method for prokaryotic expression profiling analysis

被引:0
|
作者
Feng-Lin Cao
Han-Hua Liu
Ya-Hui Wang
Yu Liu
Xiao-Yu Zhang
Jian-Qing Zhao
Yi-Min Sun
Jin Zhou
Liang Zhang
机构
[1] The First Clinical College of Harbin Medical University,The Institute of Hematology and Oncology of Heilongjiang Province
[2] National Engineering Research Center for Beijing Biochip Technology,The Cell Transplantation Key Laboratory of Health Ministry of China
[3] The First Clinical College of Harbin Medical University,undefined
来源
Applied Microbiology and Biotechnology | 2010年 / 87卷
关键词
Microarray analysis; Prokaryotic expression; RNA amplification; Target preparation method;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:343 / 352
页数:9
相关论文
共 50 条
  • [31] High-copy cDNA amplification of minimal total RNA quantities for gene expression analyses
    Holger Schwabe
    Ulrike Stein
    Wolfgang Walther
    Molecular Biotechnology, 2000, 14 : 165 - 172
  • [32] High-copy cDNA amplification of minimal total RNA quantities for gene expression analyses
    Schwabe, H
    Stein, U
    Walther, W
    MOLECULAR BIOTECHNOLOGY, 2000, 14 (02) : 165 - 172
  • [33] Analysis of protein expression and a new prokaryotic expression system for goat (Capra hircus) spermadhesin Bdh-2 cDNA
    Cajazeiras, J. B.
    Melo, L. M.
    Albuquerque, E. S.
    Radis-Baptista, G.
    Cavada, B. S.
    Freitas, V. J. F.
    GENETICS AND MOLECULAR RESEARCH, 2009, 8 (03) : 1147 - 1157
  • [34] Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture
    Raedle, Bernd
    Rutkowski, Andrzej J.
    Ruzsics, Zsolt
    Friedel, Caroline C.
    Koszinowski, Ulrich H.
    Doelken, Lars
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2013, (78):
  • [35] Comparison of Blood RNA Extraction Methods Used for Gene Expression Profiling in Amyotrophic Lateral Sclerosis
    Bayatti, Nadhim
    Cooper-Knock, Johnathan
    Bury, Joanna J.
    Wyles, Matthew
    Heath, Paul R.
    Kirby, Janine
    Shaw, Pamela J.
    PLOS ONE, 2014, 9 (01):
  • [36] Comprehensive circular RNA expression profiling with associated ceRNA network reveals their therapeutic potential in cholesteatoma
    Gao, Juanjuan
    Tang, Qi
    Xue, Ruoyan
    Zhu, Xiaohui
    Wang, Shihua
    Zhang, Yongli
    Liu, Wenbin
    Gao, Zhiqiang
    Yang, Hua
    ONCOLOGY REPORTS, 2020, 43 (04) : 1234 - 1244
  • [37] Prokaryotic Expression and Analysis on the Ag85b-Esat-6 Fusion Gene of Mycobacterium Bovis
    Luo, Bao-feng
    Wang, Chun-fang
    Chen, Jing-rui
    Shi, Hui
    Liu, Lei
    Ma, Hong-xia
    Yao, Nai-quan
    Liu, Shu-ming
    Gao, Yun-hang
    Gong, Qian
    Jiang, Xiu-yun
    2015 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND MANAGEMENT ENGINEERING (ICISME 2015), 2015, : 203 - 209
  • [38] Evaluation and validation of a robust single cell RNA-amplification protocol through transcriptional profiling of enriched lung cancer initiating cells
    Rothwell, Dominic G.
    Li, Yaoyong
    Ayub, Mahmood
    Tate, Catriona
    Newton, Gillian
    Hey, Yvonne
    Carter, Louise
    Faulkner, Suzanne
    Moro, Massimo
    Pepper, Stuart
    Miller, Crispin
    Blackhall, Fiona
    Bertolini, Giulia
    Roz, Luca
    Dive, Caroline
    Brady, Ged
    BMC GENOMICS, 2014, 15
  • [39] A novel isothermal method using rolling circle reverse transcription for accurate amplification of small RNA sequences
    Ning, Lufang
    Wang, Xingyu
    Xu, Ke
    Song, Shixi
    Li, Qiao
    Yang, Xingbin
    BIOCHIMIE, 2019, 163 : 137 - 141
  • [40] Response to water deficit in glume of wheat: expression profiling by microarray analysis
    Liu, Changxin
    Mi, Huicong
    Liu, Huawei
    Xie, Shuangze
    Wu, Yongjun
    Ning, Pan
    Liang, Taishuai
    Lv, Jinyin
    EUPHYTICA, 2017, 213 (01)