The next generation: using new sequencing technologies to analyse gene regulation.

作者: Rebecca Cullum , Olivia Alder , Pamela A Hoodless

DOI: 10.1111/J.1440-1843.2010.01899.X

关键词: ChIA-PETGenomicsChIP-sequencingGeneticsComputational biologyDNA methylationDNA sequencingRNA-SeqRegulation of gene expressionGene expression profilingBiology

摘要: Next generation sequencing (NGS) has pushed back the limitations of prior technologies to advance genomic knowledge infinitely by allowing cost-effective, rapid become a reality. Genome-wide transcriptional profiling can be achieved using NGS with either Tag-Seq, in which short tags cDNA represent gene, or RNA-Seq, entire transcriptome is sequenced. Furthermore, level and diversity miRNA within different tissues cell types monitored specifically small RNA. The biological mechanisms underlying differential gene regulation also explored coupling chromatin immunoprecipitation (ChIP-Seq). Using this methodology genome-wide binding sites for transcription factors, RNAP II, epigenetic modifiers distribution modified histones assessed. superior, high-resolution data generated adopting technology allows researchers distinguish precise location bound protein correlate observed expression patterns. Additional methods have been established examine other factors influencing such as DNA methylation conformation on scale. Within any research setting, these techniques provide relevant answer numerous questions about regulation. advances made pairing strategic experimental protocols will continue impact community.

参考文章(103)
Kim M. Lonergan, Raj Chari, Ronald J. deLeeuw, Ashleen Shadeo, Bryan Chi, Ming-Sound Tsao, Steven Jones, Marco Marra, Victor Ling, Raymond Ng, Calum MacAulay, Stephen Lam, Wan L. Lam, Identification of novel lung genes in bronchial epithelium by serial analysis of gene expression American Journal of Respiratory Cell and Molecular Biology. ,vol. 35, pp. 651- 661 ,(2006) , 10.1165/RCMB.2006-0056OC
Rimantas Kodzius, Miki Kojima, Hiromi Nishiyori, Mari Nakamura, Shiro Fukuda, Michihira Tagami, Daisuke Sasaki, Kengo Imamura, Chikatoshi Kai, Matthias Harbers, Yoshihide Hayashizaki, Piero Carninci, CAGE: cap analysis of gene expression Nature Methods. ,vol. 3, pp. 211- 222 ,(2006) , 10.1038/NMETH0306-211
Zoltán Hegedűs, Anna Zakrzewska, Vilmos C. Ágoston, Anita Ordas, Péter Rácz, Mátyás Mink, Herman P. Spaink, Annemarie H. Meijer, Deep sequencing of the zebrafish transcriptome response to mycobacterium infection. Molecular Immunology. ,vol. 46, pp. 2918- 2930 ,(2009) , 10.1016/J.MOLIMM.2009.07.002
Zhibin Hu, Xi Chen, Yang Zhao, Tian Tian, Guangfu Jin, Yongqian Shu, Yijiang Chen, Lin Xu, Ke Zen, Chenyu Zhang, Hongbing Shen, Serum MicroRNA Signatures Identified in a Genome-Wide Serum MicroRNA Expression Profiling Predict Survival of Non–Small-Cell Lung Cancer Journal of Clinical Oncology. ,vol. 28, pp. 1721- 1726 ,(2010) , 10.1200/JCO.2009.24.9342
Johannes H. Schulte, Tobias Marschall, Marcel Martin, Philipp Rosenstiel, Pieter Mestdagh, Stefanie Schlierf, Theresa Thor, Jo Vandesompele, Angelika Eggert, Stefan Schreiber, Sven Rahmann, Alexander Schramm, Deep sequencing reveals differential expression of microRNAs in favorable versus unfavorable neuroblastoma Nucleic Acids Research. ,vol. 38, pp. 5919- 5928 ,(2010) , 10.1093/NAR/GKQ342
Shirley Pepke, Barbara Wold, Ali Mortazavi, Computation for ChIP-seq and RNA-seq studies Nature Methods. ,vol. 6, ,(2009) , 10.1038/NMETH.1371
Peter Ruzanov, Donald L. Riddle, Deep SAGE analysis of the Caenorhabditis elegans transcriptome Nucleic Acids Research. ,vol. 38, pp. 3252- 3262 ,(2010) , 10.1093/NAR/GKQ035
Didier Serteyn, David Piquemal, Laurent Vanderheyden, Jean-Philippe Lejeune, Denis Verwilghen, Charlotte Sandersen, Gene expression profiling from leukocytes of horses affected by osteochondrosis. Journal of Orthopaedic Research. ,vol. 28, pp. 965- 970 ,(2010) , 10.1002/JOR.21089
Joshua S Bloom, Zia Khan, Leonid Kruglyak, Mona Singh, Amy A Caudy, Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays. BMC Genomics. ,vol. 10, pp. 221- 221 ,(2009) , 10.1186/1471-2164-10-221
Lei-Miao Yin, Gong-Hao Jiang, Yu Wang, Yan Wang, Yan-Yan Liu, Wei-Rong Jin, Yu-Dong Xu, Qing-Hua Zhang, Yong-Qing Yang, Use of serial analysis of gene expression to reveal the specific regulation of gene expression profile in asthmatic rats treated by acupuncture Journal of Biomedical Science. ,vol. 16, pp. 46- 46 ,(2009) , 10.1186/1423-0127-16-46