Literature DB >> 21769472

Identification of potential antisense transcripts in rice using conventional microarray.

Qiang Gan1, Dejun Li, Guozhen Liu, Lihuang Zhu.   

Abstract

Natural antisense transcripts (NATs) are endogenous transcripts that contain reverse complementary sequences to other RNAs (usually called sense transcripts). NATs regulate the expression of sense transcripts in a wide range of species. The identification and analysis of NATs are the prerequisite to elucidate their functions. Microarray is a genome-wide method to detect gene expression. However, conventional microarrays do not contain the specific probes of NATs; thus, they cannot be utilized to detect NATs. In this article, we developed a novel method to identify potential NATs with the conventional microarrays. In this method of our study, we labeled the first strand cDNA from one sample with Cy5 and labeled the second strand cDNA from another sample with Cy3, and then hybridized these labeled samples with oligonucleotide microarray. Using this method, we identified 920 potential NATs in rice variety Nipponbare. Among these potential NATs, 88 of them were confirmed by either full-length cDNA or orientated ESTs (expressed sequence tags). This is the first time that a conventional oligonucleotide microarray was employed to identify NATs in rice.

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Year:  2012        PMID: 21769472     DOI: 10.1007/s12033-011-9438-y

Source DB:  PubMed          Journal:  Mol Biotechnol        ISSN: 1073-6085            Impact factor:   2.695


  26 in total

1.  Over 20% of human transcripts might form sense-antisense pairs.

Authors:  Jianjun Chen; Miao Sun; W James Kent; Xiaoqiu Huang; Hanqing Xie; Wenquan Wang; Guolin Zhou; Run Zhang Shi; Janet D Rowley
Journal:  Nucleic Acids Res       Date:  2004-09-08       Impact factor: 16.971

2.  Widespread occurrence of antisense transcription in the human genome.

Authors:  Rodrigo Yelin; Dvir Dahary; Rotem Sorek; Erez Y Levanon; Orly Goldstein; Avi Shoshan; Alex Diber; Sharon Biton; Yael Tamir; Rami Khosravi; Sergey Nemzer; Elhanan Pinner; Shira Walach; Jeanne Bernstein; Kinneret Savitsky; Galit Rotman
Journal:  Nat Biotechnol       Date:  2003-03-17       Impact factor: 54.908

3.  Transcriptional characteristics of Xa21-mediated defense responses in rice.

Authors:  Qiang Gan; Hui Bai; Xianfeng Zhao; Yong Tao; Haipan Zeng; Yuning Han; Wenyuan Song; Lihuang Zhu; Guozhen Liu
Journal:  J Integr Plant Biol       Date:  2011-04       Impact factor: 7.061

4.  Mouse genomic representational oligonucleotide microarray analysis: detection of copy number variations in normal and tumor specimens.

Authors:  B Lakshmi; Ira M Hall; Christopher Egan; Joan Alexander; Anthony Leotta; John Healy; Lars Zender; Mona S Spector; Wen Xue; Scott W Lowe; Michael Wigler; Robert Lucito
Journal:  Proc Natl Acad Sci U S A       Date:  2006-07-14       Impact factor: 11.205

Review 5.  In search of antisense.

Authors:  Giovanni Lavorgna; Dvir Dahary; Ben Lehner; Rotem Sorek; Christopher M Sanderson; Giorgio Casari
Journal:  Trends Biochem Sci       Date:  2004-02       Impact factor: 13.807

6.  Systematic identification of sense-antisense transcripts in mammalian cells.

Authors:  Øystein Røsok; Mouldy Sioud
Journal:  Nat Biotechnol       Date:  2003-12-14       Impact factor: 54.908

7.  Sense-antisense pairs in mammals: functional and evolutionary considerations.

Authors:  Pedro A F Galante; Daniel O Vidal; Jorge E de Souza; Anamaria A Camargo; Sandro J de Souza
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

8.  Identification of differentially expressed sense and antisense transcript pairs in breast epithelial tissues.

Authors:  Anita Grigoriadis; Gavin R Oliver; Austin Tanney; Howard Kendrick; Matt J Smalley; Parmjit Jat; A Munro Neville
Journal:  BMC Genomics       Date:  2009-07-17       Impact factor: 3.969

9.  Genome-wide analysis of antisense transcription with Affymetrix exon array.

Authors:  Xijin Ge; Wendy S Rubinstein; Yong-Chul Jung; Qingfa Wu
Journal:  BMC Genomics       Date:  2008-01-22       Impact factor: 3.969

10.  Antisense artifacts in transcriptome microarray experiments are resolved by actinomycin D.

Authors:  Fabiana Perocchi; Zhenyu Xu; Sandra Clauder-Münster; Lars M Steinmetz
Journal:  Nucleic Acids Res       Date:  2007-09-26       Impact factor: 16.971

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  2 in total

1.  Genome-wide identification and characterization of novel lncRNAs in Populus under nitrogen deficiency.

Authors:  Min Chen; Chenlu Wang; Hai Bao; Hui Chen; Yanwei Wang
Journal:  Mol Genet Genomics       Date:  2016-05-02       Impact factor: 3.291

2.  Prediction and identification of natural antisense transcripts and their small RNAs in soybean (Glycine max).

Authors:  Hu Zheng; Jiang Qiyan; Ni Zhiyong; Zhang Hui
Journal:  BMC Genomics       Date:  2013-04-24       Impact factor: 3.969

  2 in total

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