Personalized Genomics Laboratory, Center for Computational Systems Biology, Roy G. Perry College of Engineering, Prairie View A&M University, Prairie View, TX 77446, USA.
Genes (Basel). 2019 Jul 25;10(8):560. doi: 10.3390/genes10080560.
The dynamic and never exactly repeatable tumor transcriptomic profile of people affected by the same form of cancer requires a personalized and time-sensitive approach of the gene therapy. The Gene Master Regulators (GMRs) were defined as genes whose highly controlled expression by the homeostatic mechanisms commands the cell phenotype by modulating major functional pathways through expression correlation with their genes. The Gene Commanding Height (GCH), a measure that combines the expression control and expression correlation with all other genes, is used to establish the gene hierarchy in each cell phenotype. We developed the experimental protocol, the mathematical algorithm and the computer software to identify the GMRs from transcriptomic data in surgically removed tumors, biopsies or blood from cancer patients. The GMR approach is illustrated with applications to our microarray data on human kidney, thyroid and prostate cancer samples, and on thyroid, prostate and blood cancer cell lines. We proved experimentally that each patient has his/her own GMRs, that cancer nuclei and surrounding normal tissue are governed by different GMRs, and that manipulating the expression has larger consequences for genes with higher GCH. Therefore, we launch the hypothesis that silencing the GMR may selectively kill the cancer cells from a tissue.
患有同种癌症的人群的肿瘤转录组谱是动态的,且从不完全重复,这就需要采用基因治疗的个性化和时敏方法。基因主调控因子(GMR)被定义为那些通过与其基因的表达相关性来调节主要功能途径,从而通过高度控制稳态机制的表达来指挥细胞表型的基因。基因控制高度(GCH)是一种衡量标准,它结合了表达控制和与所有其他基因的表达相关性,用于在每个细胞表型中建立基因层次结构。我们开发了实验方案、数学算法和计算机软件,以从癌症患者的手术切除肿瘤、活检或血液中的转录组数据中识别 GMR。GMR 方法通过应用于我们关于人类肾脏、甲状腺和前列腺癌样本以及甲状腺、前列腺和血液癌细胞系的微阵列数据进行了说明。我们通过实验证明,每个患者都有自己的 GMR,癌症核和周围正常组织受不同的 GMR 控制,并且操纵表达对具有更高 GCH 的基因具有更大的影响。因此,我们提出假设,沉默 GMR 可能会选择性地杀死组织中的癌细胞。