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

机译:基因组序列不完全可用的物种中的微阵列和高通量转录组学分析

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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 highthroughput deep sequencing methods.
机译:基于与靶RNA的量相对应的染料强度的相对量度,微阵列产生基因表达的量度。这项技术发展迅速,其应用范围从智人扩展到了种类繁多的物种,那里有足够的有关序列和注释的信息。无论如何,存在专用平台的物种数量并不多。尽管异种微阵列杂交引起了许多争论,但使用异源阵列杂交,使用为另一个物种开发的阵列筛选一种物种中的基因表达,仍然非常频繁。存在一些高通量且不依赖于DNA / RNA序列知识的方法,即基因表达的串行分析(SAGE),大规模平行特征测序(MPSS)和完整转录组的深度测序。尽管它们非常强大,尤其是后者,但它们仍然是相当昂贵且繁琐的方法。在某些物种中,基因组序列基本未知的情况下,由于表达序列标签(EST)测序项目的缘故,一些匿名序列沉积在基因库中。 ESTs数据库代表着宝贵的知识,可以通过一些生物信息学努力加以利用,以建立物种特异性的微阵列。我们在这里介绍一种从Ovis aries中可用的EST序列开始的高密度原位合成微阵列的方法。我们的数据表明,该方法非常有效,可以轻松扩展到公共数据库中存在其遗传序列的其他物种,但迄今为止,这种先进的方法仍被微阵列等设备所忽略。从一个角度来看,由于高通量深度测序方法的存在,该方法还可以应用于迄今尚无序列的物种。

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