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相关概念视频

Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

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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...
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Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

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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...
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lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
8.6K
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

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Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
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mTOR Signaling and Cancer Progression03:03

mTOR Signaling and Cancer Progression

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The mammalian target of rapamycin or mTOR protein was discovered in 1994 due to its direct interaction with rapamycin. The protein gets its name from a yeast homolog called TOR. The mTOR protein complex in mammalian cells plays a major role in balancing anabolic processes such as the synthesis of proteins, lipids, and nucleotides and catabolic processes, such as autophagy in response to environmental cues, such as availability of nutrients and growth factors.
The mTOR pathway or the...
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Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

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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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相关实验视频

Updated: Jul 18, 2025

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres
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Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

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通过网络分析识别癌症类型特定的转录程序.

Jiji T Kurup1,2, Seongho Kim1,2, Benjamin L Kidder1,2

  • 1Department of Oncology, Wayne State University School of Medicine, Detroit, MI 48201, USA.

Cancers
|August 26, 2023
PubMed
概括

研究人员确定了17种癌症类型的关键基因调节网络和转录因子. 这些因素可以预测患者的生存率,有助于癌症诊断和治疗开发.

科学领域:

  • 基因组学就是基因组学.
  • 系统生物学 系统生物学
  • 癌症生物学 癌症生物学

背景情况:

  • 识别癌症特异性基因对于开发向治疗和诊断方法至关重要.
  • 虽然癌症的分子驱动因素已知,但区分正常细胞和恶性细胞的细胞类型特异性转录因子仍然不清楚.

研究的目的:

  • 在17种癌症类型中识别癌症类型特定的基因调节网络 (GRNs) 和核心转录因子 (TFs).
  • 探索这些TF作为癌症患者生存预后指标的潜力.

主要方法:

  • 利用网络生物学框架来分析细胞命运转换忠诚度.
  • 从正常和癌症组织中进行基因表达数据的综合分析.
  • 将正常细胞的GRNs与癌症特异性的GRNs进行比较.

主要成果:

  • 针对多种癌症类型的阐明核心TF和GRN.
  • 确定了影响网络的关键TFs,其表达与患者存活相关.
  • 证明了TF表达作为各种癌症患者队列的预后指标的实用性.

结论:

  • 这项研究为了解癌症类型特定网络提供了宝贵的资源.
关键词:
癌症 癌症 癌症 癌症 癌症基因监管网络 基因监管网络网络生物学 网络生物学

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  • 确定的TF可以作为癌症诊断,预后和治疗策略的潜在生物标志物.