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Hi-C作为一种用于精确检测和表征人类肿瘤中染色体重排和拷贝数变异的工具。

Hi-C as a tool for precise detection and characterisation of chromosomal rearrangements and copy number variation in human tumours.

作者信息

Harewood Louise, Kishore Kamal, Eldridge Matthew D, Wingett Steven, Pearson Danita, Schoenfelder Stefan, Collins V Peter, Fraser Peter

机构信息

Nuclear Dynamics Programme, The Babraham Institute, Cambridge, CB22 3AT, UK.

Cancer Research UK Cambridge Institute (CRUK-CI), University of Cambridge, Li Ka Shing Centre, Cambridge, UK.

出版信息

Genome Biol. 2017 Jun 27;18(1):125. doi: 10.1186/s13059-017-1253-8.

Abstract

Chromosomal rearrangements occur constitutionally in the general population and somatically in the majority of cancers. Detection of balanced rearrangements, such as reciprocal translocations and inversions, is troublesome, which is particularly detrimental in oncology where rearrangements play diagnostic and prognostic roles. Here we describe the use of Hi-C as a tool for detection of both balanced and unbalanced chromosomal rearrangements in primary human tumour samples, with the potential to define chromosome breakpoints to bp resolution. In addition, we show copy number profiles can also be obtained from the same data, all at a significantly lower cost than standard sequencing approaches.

摘要

染色体重排在普通人群中是先天性发生的,在大多数癌症中则是体细胞性发生的。检测平衡重排,如相互易位和倒位,是很麻烦的,这在肿瘤学中尤其有害,因为重排在肿瘤诊断和预后中起着重要作用。在这里,我们描述了使用Hi-C作为一种工具,用于检测原发性人类肿瘤样本中的平衡和不平衡染色体重排,并有可能将染色体断点定义到碱基对分辨率。此外,我们还表明,也可以从相同的数据中获得拷贝数图谱,所有这些的成本都比标准测序方法低得多。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5004/5488307/c1814421dfdb/13059_2017_1253_Fig1_HTML.jpg

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