Gene Dosage Analysis in a Clinical Environment: Gene-Targeted Microarrays as the Platform-of-Choice.

Renate Marquis-Nicholson, Debra Prosser, Jennifer M Love, Donald R Love
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引用次数: 2

Abstract

The role of gene deletion and duplication in the aetiology of disease has become increasingly evident over the last decade. In addition to the classical deletion/duplication disorders diagnosed using molecular techniques, such as Duchenne Muscular Dystrophy and Charcot-Marie-Tooth Neuropathy Type 1A, the significance of partial or whole gene deletions in the pathogenesis of a large number single-gene disorders is becoming more apparent. A variety of dosage analysis methods are available to the diagnostic laboratory but the widespread application of many of these techniques is limited by the expense of the kits/reagents and restrictive targeting to a particular gene or portion of a gene. These limitations are particularly important in the context of a small diagnostic laboratory with modest sample throughput. We have developed a gene-targeted, custom-designed comparative genomic hybridisation (CGH) array that allows twelve clinical samples to be interrogated simultaneously for exonic deletions/duplications within any gene (or panel of genes) on the array. We report here on the use of the array in the analysis of a series of clinical samples processed by our laboratory over a twelve-month period. The array has proven itself to be robust, flexible and highly suited to the diagnostic environment.

Abstract Image

Abstract Image

临床环境中的基因剂量分析:基因靶向微阵列作为首选平台。
基因缺失和重复在疾病病因学中的作用在过去十年中变得越来越明显。除了使用分子技术诊断的经典缺失/重复疾病,如杜氏肌营养不良症和Charcot-Marie-Tooth神经病变1A型外,部分或全基因缺失在大量单基因疾病发病机制中的重要性正变得越来越明显。诊断实验室可使用多种剂量分析方法,但其中许多技术的广泛应用受到试剂盒/试剂费用和对特定基因或基因部分的限制性靶向的限制。这些限制在样本吞吐量适中的小型诊断实验室中尤为重要。我们开发了一种基因靶向,定制设计的比较基因组杂交(CGH)阵列,允许12个临床样本同时被询问阵列上任何基因(或基因组)内的外显子缺失/重复。我们在这里报告了在我们实验室处理的一系列临床样本分析中使用该阵列的十二个月期间。该阵列已被证明是强大的,灵活的,非常适合于诊断环境。
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来源期刊
自引率
0.00%
发文量
0
审稿时长
11 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.
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