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相关概念视频

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.
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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.
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Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
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Cancer Survival Analysis

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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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.
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相关实验视频

Updated: Jul 18, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

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一个蛋白质基因组学数据驱动的人类癌症知识库.

Yuxing Liao1, Sara R Savage1, Yongchao Dou1

  • 1Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.

Cell systems
|August 24, 2023
PubMed
概括

LinkedOmicsKB提供了癌症蛋白质组学数据的公共知识库,整合了基因组学和蛋白质组学. 这种资源加速了改善癌症理解和治疗的发现.

关键词:
在CPTAC中,我们可以看到.癌症 癌症 癌症 癌症 癌症数据整合数据集成.知识基础知识基础多种主题的多种主题.胰腺癌是一种癌症.光蛋白质组学 光蛋白质组学 光蛋白质组学蛋白质基因组学蛋白质组学 蛋白质组学视觉化的可视化

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Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
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相关实验视频

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Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
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科学领域:

  • 在瘤学瘤学.
  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.

背景情况:

  • 蛋白质基因组学集成了多基因组学数据,用于全面的癌症分子分析.
  • 临床蛋白质组瘤分析联盟 (CPTAC) 已经生成了广泛的泛癌症蛋白质组学数据.

研究的目的:

  • 介绍LinkedOmicsKB,这是一个新的知识库,用于公开访问的CPTAC蛋白质基因组学数据.
  • 通过综合数据平台,促进癌症研究中的探索和发现.

主要方法:

  • 开发一个蛋白质基因组学数据驱动的知识库 (LinkedOmicsKB).
  • 系统的预计算和一致的CPTAC全癌症蛋白质组学数据的处理.
  • 用可视化工具创建基因,蛋白质,突变和表型为中心的网页.

主要成果:

  • LinkedOmicsKB提供了对19701个编码基因,125,969个酸盐和256个基因型/表型的预计算数据的访问权限.
  • 案例研究表明LinkedOmicsKB在揭示癌症生物学方面的新见解方面具有实用性.
  • 该平台可以有效地探索复杂的,相互连接的蛋白质基因组学数据.

结论:

  • LinkedOmicsKB是加速蛋白质基因组学发现的全面资源.
  • 该知识库旨在改善对人类癌症的理解和治疗.
  • 公共可用,系统处理的数据增强了癌症的合作研究.