Literature DB >> 19446516

Microarrays and high-throughput transcriptomic analysis in species with incomplete availability of genomic sequences.

Lorraine Pariset1, Giovanni Chillemi, Silvia Bongiorni, Vincenzo Romano Spica, Alessio Valentini.   

Abstract

Microarrays produce a measurement of gene expression based on the relative measures of dye intensities that correspond to the amount of target RNA. This technology is fast developing and its application is expanding from Homo sapiens to a wide number of species, where enough information on sequences and annotations exist. Anyway, the number of species for which a dedicated platform exists is not high. The use of heterologous array hybridization, screening for gene expression in one species using an array developed for another one, is still quite frequent, even though cross-species microarray hybridization has raised many arguments. Some methods which are high throughput and do not rely on knowledge of the DNA/RNA sequence exist, namely serial analysis of gene expression (SAGE), Massively Parallel Signature Sequencing (MPSS) and deep sequencing of full transcriptome. Although very powerful, particularly the latter, they are still quite costly and cumbersome methods. In some species where genome sequences are largely unknown, several anonymous sequences are deposited in gene banks as a result of Expressed Sequence Tags (ESTs) sequencing projects. The ESTs databases represent a valuable knowledge that can be exploited with some bioinformatic effort to build species-specific microarrays. We present here a method of high-density in situ synthesized microarrays starting from available EST sequences in, Ovis aries. Our data indicate that the method is very efficient and can be easily extended to other species of which genetic sequences are present in public databases, but neglected so far with advanced devices like microarrays. As a perspective, the approach can be applied also to species of which no sequences are available to date, thanks to high-throughput deep sequencing methods.

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Year:  2009        PMID: 19446516     DOI: 10.1016/j.nbt.2009.03.013

Source DB:  PubMed          Journal:  N Biotechnol        ISSN: 1871-6784            Impact factor:   5.079


  10 in total

1.  Design, validation and annotation of transcriptome-wide oligonucleotide probes for the oligochaete annelid Eisenia fetida.

Authors:  Ping Gong; Mehdi Pirooznia; Xin Guan; Edward J Perkins
Journal:  PLoS One       Date:  2010-12-08       Impact factor: 3.240

2.  In vitro homology search array comprehensively reveals highly conserved genes and their functional characteristics in non-sequenced species.

Authors:  Atsushi Ogura; Masa-aki Yoshida; Mutsumi Fukuzaki; Jun Sese
Journal:  BMC Genomics       Date:  2010-12-02       Impact factor: 3.969

3.  A tool for sheep product quality: custom microarrays from public databases.

Authors:  Silvia Bongiorni; Giovanni Chillemi; Gianluca Prosperini; Susana Bueno; Alessio Valentini; Lorraine Pariset
Journal:  Nutrients       Date:  2009-12-04       Impact factor: 5.717

4.  Exploring Differentially Expressed Genes and Natural Antisense Transcripts in Sheep (Ovis aries) Skin with Different Wool Fiber Diameters by Digital Gene Expression Profiling.

Authors:  Yaojing Yue; Tingting Guo; Jianbin Liu; Jian Guo; Chao Yuan; Ruilin Feng; Chune Niu; Xiaoping Sun; Bohui Yang
Journal:  PLoS One       Date:  2015-06-15       Impact factor: 3.240

5.  A Transcriptomic Comparison of Two Bambara Groundnut Landraces under Dehydration Stress.

Authors:  Faraz Khan; Hui Hui Chai; Ishan Ajmera; Charlie Hodgman; Sean Mayes; Chungui Lu
Journal:  Genes (Basel)       Date:  2017-04-18       Impact factor: 4.096

6.  Detection of eight foodborne bacterial pathogens by oligonucleotide array hybridization.

Authors:  Zohreh Nasrabadi; Reza Ranjbar; Fatemeh Poorali; Meysam Sarshar
Journal:  Electron Physician       Date:  2017-05-25

7.  Identification of genes related to the development of bamboo rhizome bud.

Authors:  Kuihong Wang; Huazheng Peng; Erpei Lin; Qunying Jin; Xiqi Hua; Sheng Yao; Hongwu Bian; Ning Han; Jianwei Pan; Junhui Wang; Mingjuan Deng; Muyuan Zhu
Journal:  J Exp Bot       Date:  2009-12-04       Impact factor: 6.992

8.  Microarray gene expression profiling of neural tissues in bovine spastic paresis.

Authors:  Lorraine Pariset; Silvia Bongiorni; Susana Bueno; Cesare E M Gruber; Gianluca Prosperini; Giovanni Chillemi; Silvia Bicorgna; Arcangelo Gentile; Alessio Valentini
Journal:  BMC Vet Res       Date:  2013-06-19       Impact factor: 2.741

9.  RNA-seq and microarray complement each other in transcriptome profiling.

Authors:  Sunitha Kogenaru; Yan Qing; Yinping Guo; Nian Wang
Journal:  BMC Genomics       Date:  2012-11-15       Impact factor: 3.969

Review 10.  The quest for tolerant varieties: the importance of integrating "omics" techniques to phenotyping.

Authors:  Michel Zivy; Stefanie Wienkoop; Jenny Renaut; Carla Pinheiro; Estelle Goulas; Sebastien Carpentier
Journal:  Front Plant Sci       Date:  2015-07-09       Impact factor: 5.753

  10 in total

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