Cowell John K
Department of Cancer Genetics, Roswell Park Cancer Institute, Buffalo, NY 14263, USA.
Comb Chem High Throughput Screen. 2004 Sep;7(6):587-96. doi: 10.2174/1386207043328481.
Chromosome analysis has been a cornerstone both for the identification of genetic defects that predispose to a variety of genetic syndromes as well as for the analysis of cancer progression. The relatively low resolution of metaphase chromosomes, however, only allows characterization of major genetic events which are defined at the megabase level. The development of the human genome-wide bacterial artificial chromosome (BACs) libraries which were used as templates for the human genome project made it possible to design microarrays containing these BACs which can theoretically span the genome uninterrupted. Comparative genomic hybridization to these arrays using test and reference DNA samples reveals numerical chromosome abnormalities (deletions, gains and amplifications) which can be accurately defined with a resolution depending on the density of the arrays. Analysis of test DNA samples using these arrays reveals low level deletions and amplifications that cannot be detected by chromosome analysis and provides a global view of these genetic changes in a single overnight hybridization using a high throughput approach. The extent of the genetic changes can then be determined precisely and the gene content of the affected regions established. These BAC arrays have widespread application to the analysis of constitutional genetic abnormalities associated with human diseases as well as cancer patients and their tumors. The development of similar BAC arrays for the mouse genome means that it is now possible to extend the CGHa approach to the study of genetic disorders and cancer models in mice.
染色体分析一直是识别易引发各种遗传综合征的遗传缺陷以及分析癌症进展的基石。然而,中期染色体相对较低的分辨率仅能对在兆碱基水平定义的主要遗传事件进行表征。用作人类基因组计划模板的全基因组细菌人工染色体(BAC)文库的发展,使得设计包含这些BAC的微阵列成为可能,理论上这些微阵列可以不间断地覆盖整个基因组。使用测试和参考DNA样本与这些阵列进行比较基因组杂交,可揭示染色体数目异常(缺失、增加和扩增),其分辨率取决于阵列的密度,从而能够准确界定这些异常。使用这些阵列分析测试DNA样本,可揭示染色体分析无法检测到的低水平缺失和扩增,并通过高通量方法在单次过夜杂交中提供这些遗传变化的全局视图。进而能够精确确定遗传变化的程度,并确定受影响区域的基因组成。这些BAC阵列在分析与人类疾病相关的先天性遗传异常以及癌症患者及其肿瘤方面具有广泛应用。针对小鼠基因组开发类似的BAC阵列意味着现在有可能将比较基因组杂交分析(CGHa)方法扩展到小鼠遗传疾病和癌症模型的研究中。