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相关概念视频

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Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
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Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.
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Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
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Early diagnosis and treatment can often cure cancer. However, even with treatment, residual cells called cancer stem cells (CSC) might remain, often causing tumor recurrence. These cancer stem cells possess the potential for self-renewal and multi-lineage differentiation and are often responsible for the therapeutic resistance displayed in most cancers.
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使用普遍可变基因对恶性细胞状态进行聚类.

Sang-Ho Yoon1,2,3, Jin-Wu Nam1,2,4,3

  • 1Department of Life Science, College of Natural Sciences, Hanyang University, Seoul 04763, Republic of Korea.

Briefings in bioinformatics
|December 12, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了普遍可变基因 (UVGs),以改善单细胞RNA测序 (scRNA-seq) 分析. 紫外线减少了样本特定偏差,揭示了恶性细胞的真正分子标志.

关键词:
聚类集群是指聚类的聚类.功能选择 功能选择这就是scRNA-seqq.瘤微环境是一个微环境.

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科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 癌症研究 癌症研究

背景情况:

  • 单细胞RNA测序 (scRNA-seq) 提供了对恶性细胞异质性的见解.
  • 患者特异性基因组变化使scRNA-seq数据解释复杂化,导致人工集群.
  • 现有的方法很难区分真正的生物变异和样本特定的噪音.

研究的目的:

  • 开发一种用于分析scRNA-seq数据的新方法,以减轻样本特定偏差.
  • 确定普遍变异基因 (UVGs) 作为分析恶性细胞群体的更强大的指标.
  • 改进检测潜在的分子标志和独特的恶性细胞状态.

主要方法:

  • 样本间基因表达变异的规范化.
  • 通过比较基因表达变异性来识别普遍可变基因 (UVGs).
  • 应用UVG对来自恶性细胞的scRNA-seq数据的集群分析.

主要成果:

  • 提出的方法成功地减少了样本特定集群的形成.
  • 与标准的高度可变基因相比,普遍可变基因 (UVGs) 显示出更高的性能.
  • 紫外线可以更准确地检测出不同的恶性细胞状态及其分子特征.

结论:

  • 全球变量基因 (UVGs) 提供了一种强大的方法,用于在基因组变化存在时分析scRNA-seq数据.
  • 这种方法提高了癌症研究中恶性细胞异质性的解释性.
  • 这一发现为探索癌细胞复杂生物学的新途径提供了建议.