SNPs Array Karyotyping in Non-Hodgkin Lymphoma.

Microarrays Pub Date : 2015-11-12 DOI:10.3390/microarrays4040551

Maryam Etebari, Mohsen Navari, Pier Paolo Piccaluga

引用次数: 7

Abstract

The traditional methods for detection of chromosomal aberrations, which included cytogenetic or gene candidate solutions, suffered from low sensitivity or the need for previous knowledge of the target regions of the genome. With the advent of single nucleotide polymorphism (SNP) arrays, genome screening at global level in order to find chromosomal aberrations like copy number variants, DNA amplifications, deletions, and also loss of heterozygosity became feasible. In this review, we present an update of the knowledge, gained by SNPs arrays, of the genomic complexity of the most important subtypes of non-Hodgkin lymphomas.

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非霍奇金淋巴瘤的snp阵列核型分析。

传统的染色体畸变检测方法，包括细胞遗传学或基因候选溶液，存在灵敏度低或需要预先了解基因组目标区域的问题。随着单核苷酸多态性(SNP)阵列的出现，在全球水平上进行基因组筛选，以发现染色体畸变，如拷贝数变异、DNA扩增、缺失和杂合性丧失，变得可行。在这篇综述中，我们提出了最新的知识，通过snp阵列获得的非霍奇金淋巴瘤最重要亚型的基因组复杂性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Microarrays

自引率

0.00%

发文量

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.