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Microarray analysis of gene expression in human donor sclera

机译:人类供体巩膜中基因表达的微阵列分析

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Purpose: To develop gene expression profiles of human sclera toallow for the identification of novel, uncharacterized genes in thistissue-type, and to identify candidate genes for scleral disorders.Methods: Total RNA was isolated from 6 donor sources of humansclerae, and reverse transcribed into cDNA using a T7-(dT) 24 primer.The resulting cDNA was in vitro transcribed to produce biotin-labeledcRNA, fragmented, and mixed with hybridization controls before a 16 hhybridization step with oligonucleotide probes on 6 Affymetrix U95Achips. The chips were scanned twice at 570 nM and the data collectedusing GeneChip software. Array analyses were carried out with MicroarraySuite, version 5.0 (Affymetrix), using the expression analysis algorithmto run an absolute analysis after cell intensities were computed. Allarrays were scaled to the same target intensity using all probe sets.Reverse-transcription polymerase chain reaction (RT-PCR) was performedto validate the microarray results.Results: There were 3,751 genes with "present" calls assignedindependently to all six human scleral samples. These genes could beclustered into 4 major categories; transcription (10%), metabolism(8.8%), cell growth and proliferation (5.4%), and extracellular matrix(2%). Many extracellular matrix proteins, such as collagens 6A3 and10A1, thrombospondins 2 and 4, and dystroglycan have not previously beenshown to be expressed in sclera. RT-PCR results confirmed scleralexpression in 7 extracellular matrix genes examined.Conclusions: This study demonstrated the utility of gene microarraytechnology in identifying global patterns of scleral gene expression,and provides an extended list of genes expressed in human sclera.Identification of genes expressed in sclera contributes to ourunderstanding of scleral biology, and potentially provides positionalcandidate genes for scleral disorders such as high myopia.
机译:目的:建立人巩膜的基因表达谱,以鉴定该组织类型中新的,未表征的基因,并鉴定出巩膜疾病的候选基因。方法:从人巩膜的6个供体来源中分离总RNA,并将其反向转录为使用T7-(dT)24引物的cDNA。在体外转录所得的cDNA以产生生物素标记的cRNA,进行片段化并与杂交对照混合,然后在6个Affymetrix U95Achips上用寡核苷酸探针进行16个杂交步骤。芯片以570 nM扫描两次,并使用GeneChip软件收集数据。使用表达分析算法,使用MicroarraySuite 5.0版(Affymetrix)进行阵列分析,以在计算细胞强度后进行绝对分析。使用所有探针组将所有阵列缩放至相同的靶强度。进行逆转录聚合酶链反应(RT-PCR)以验证微阵列结果。结果:共有3,751个基因与所有六个人类巩膜样品独立分配了“现在”调用。这些基因可以分为4个主要类别。转录(10%),新陈代谢(8.8%),细胞生长和增殖(5.4%)和细胞外基质(2%)。许多细胞外基质蛋白,例如胶原蛋白6A3和10A1,血小板反应蛋白2和4,以及dystroglycan以前未显示在巩膜中表达。 RT-PCR结果证实了7种细胞外基质基因中的巩膜表达。结论:这项研究证明了基因芯片技术在鉴定巩膜基因表达的整体模式中的实用性,并提供了在人类巩膜中表达的基因的扩展列表。有助于我们对巩膜生物学的了解,并可能为巩膜疾病(例如高度近视)提供位置候选基因。

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    《Molecular vision》 |2004年第2004期|共页
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