相关实验视频
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Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
Published on: May 6, 2010
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使用InfoHiC使用全基因组测序预测3D癌症基因组
Yeonghun Lee1, Sung-Hye Park2,3, Hyunju Lee4,5
1School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-gu, Gwangju, 61005, Republic of Korea.
Molecular systems biology
|September 25, 2024
概括
InfoHiC从全基因组测序数据中预测3D癌症基因组,识别结构变异和超级增强器劫持事件. 这一框架有助于发现癌症患者的新疗法目标.
科学领域:
- 基因组学就是基因组学.
- 癌症生物学 癌症生物学
- 生物信息学是一种生物信息学.
背景情况:
- 在非编码区域的结构变化 (SVs) 显著影响癌症的发展.
- 了解3D基因组结构对于癌症研究至关重要.
研究的目的:
- 开发一个系统框架 (InfoHiC) 来直接从全基因组测序 (WGS) 预测3D癌症基因组.
- 确定SVs对瘤形成的影响,并发现新的治疗点.
主要方法:
- 在InfoHiC中,使用的是contig-specific的复制号码编码和contig-to-total HiC转换.
- 该框架预测了来自各种SV类型的3D基因组折叠.
- 应用于乳腺癌细胞系数据,患者WGS数据 (乳腺癌,髓母细胞瘤).
主要成果:
- InfoHiC成功地预测了跨多种SV的3D基因组折叠.
- 在患者数据中确定了新拓学关联域.
- 在乳腺癌中发现了超强增强剂劫持事件,与瘤性过度表达和低生存率有关.
- 发现非编码的SVs导致超强增强器劫持关键的脑髓母细胞瘤驱动基因.
结论:
- InfoHiC提供了一种可靠的方法,用于从WGS数据中进行3D癌症基因组预测.
- 该框架揭示了SVs在癌症中的影响,确定了潜在的治疗点.
- 已出版的模型可用于从WGS数据中进行癌症Hi-C预测.
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Cancer-Critical Genes II: Tumor Suppressor Genes
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
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