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SNP 微阵列分析揭示了 SVT/t 驱动的小鼠乳腺癌中肿瘤发展过程中的拷贝数改变和渐进性基因组重排。

SNP microarray analyses reveal copy number alterations and progressive genome reorganization during tumor development in SVT/t driven mice breast cancer.

机构信息

Bioinformatics, Technical University of Applied Sciences Wildau, 15745 Wildau, Bahnhofstrasse, Germany.

出版信息

BMC Cancer. 2012 Aug 31;12:380. doi: 10.1186/1471-2407-12-380.

Abstract

BACKGROUND

Tumor development is known to be a stepwise process involving dynamic changes that affect cellular integrity and cellular behavior. This complex interaction between genomic organization and gene, as well as protein expression is not yet fully understood. Tumor characterization by gene expression analyses is not sufficient, since expression levels are only available as a snapshot of the cell status. So far, research has mainly focused on gene expression profiling or alterations in oncogenes, even though DNA microarray platforms would allow for high-throughput analyses of copy number alterations (CNAs).

METHODS

We analyzed DNA from mouse mammary gland epithelial cells using the Affymetrix Mouse Diversity Genotyping array (MOUSEDIVm520650) and calculated the CNAs. Segmental copy number alterations were computed based on the probeset CNAs using the circular binary segmentation algorithm. Motif search was performed in breakpoint regions (inter-segment regions) with the MEME suite to identify common motif sequences.

RESULTS

Here we present a four stage mouse model addressing copy number alterations in tumorigenesis. No considerable changes in CNA were identified for non-transgenic mice, but a stepwise increase in CNA was found during tumor development. The segmental copy number alteration revealed informative chromosomal fragmentation patterns. In inter-segment regions (hypothetical breakpoint sides) unique motifs were found.

CONCLUSIONS

Our analyses suggest genome reorganization as a stepwise process that involves amplifications and deletions of chromosomal regions. We conclude from distinctive fragmentation patterns that conserved as well as individual breakpoints exist which promote tumorigenesis.

摘要

背景

肿瘤的发展被认为是一个涉及动态变化的逐步过程,这些变化会影响细胞的完整性和细胞行为。基因组组织与基因以及蛋白质表达之间的这种复杂相互作用尚未被完全理解。通过基因表达分析对肿瘤进行特征描述是不够的,因为表达水平只是细胞状态的一个快照。到目前为止,研究主要集中在基因表达谱分析或癌基因的改变上,尽管 DNA 微阵列平台可以进行高通量的拷贝数改变(CNA)分析。

方法

我们使用 Affymetrix Mouse Diversity Genotyping array(MOUSEDIVm520650)分析了来自小鼠乳腺上皮细胞的 DNA,并计算了 CNA。基于探针集 CNA 使用循环二进制分割算法计算了片段拷贝数改变。在断点区域(片段间区域)中使用 MEME 套件进行基序搜索,以识别常见的基序序列。

结果

在这里,我们提出了一个四阶段的小鼠模型,用于解决肿瘤发生过程中的拷贝数改变问题。未发现非转基因小鼠的 CNA 有明显变化,但在肿瘤发展过程中发现 CNA 逐渐增加。片段拷贝数改变揭示了有信息量的染色体碎片化模式。在片段间区域(假设的断点侧)中发现了独特的基序。

结论

我们的分析表明,基因组重排是一个逐步的过程,涉及染色体区域的扩增和缺失。我们从独特的碎片化模式中得出结论,存在保守和个体的断点,这些断点促进了肿瘤的发生。

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