Conditionally Reprogrammed Cells and Robotic High-Throughput Screening for Precision Cancer Therapy.
Conditionally Reprogrammed Cells and Robotic High-Throughput Screening for Precision Cancer Therapy.
复制标题
用于精准癌症治疗的条件性重编程细胞和机器人高通量筛选。
DOI：
10.3389/fonc.2021.761986
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发表时间：
2021
影响因子：
4.7
通讯作者：
Alkhilaiwi F
中科院分区：
文献类型：
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作者：
Alkhilaiwi F
癌症是一种毁灭性的疾病，每年在全球夺走数百万人的生命。精确的癌症治疗基于患者的肿瘤组织病理学、表达分析和/或肿瘤RNA或DNA分析。只有2%-20%的实体瘤患者受益于基于基因组学的精准肿瘤学。因此，精确的癌症治疗需要功能诊断和患者来源的癌症模型。在这篇综述中，我们将总结条件细胞重编程（CR）和机器人高通量筛选在精准癌症医学中的潜在用途。简单地说，CR方法包括将辐照的Swiss-3 T3-J2小鼠成纤维细胞与消化的原代非致病性或致病性细胞一起在Rho相关丝氨酸-苏氨酸蛋白激酶抑制剂Y-27632的存在下共培养，产生外部培养环境，使细胞具有获得干细胞的部分性质的能力。另一方面，定量高通量筛选（qHTS）分析在短时间内筛选数千种使用细胞的化合物。这两种技术的结合有可能成为精确癌症治疗的驱动力。
Cancer is a devastating disease that takes the lives of millions of people globally every year. Precision cancer therapy is based on a patient’s tumor histopathology, expression analyses, and/or tumor RNA or DNA analysis. Only 2%–20% of patients with solid tumors benefit from genomics-based precision oncology. Therefore, functional diagnostics and patient-derived cancer models are needed for precision cancer therapy. In this review, we will summarize the potential use of conditional cell reprogramming (CR) and robotic high-throughput screening in precision cancer medicine. Briefly, the CR method includes the co-culturing of irradiated Swiss-3T3-J2 mouse fibroblast cells alongside digested primary non-pathogenic or pathogenic cells with the existence of Rho-associated serine–threonine protein kinase inhibitor called Y-27632, creating an exterior culture environment, allowing the cells to have the ability to gain partial properties of stem cells. On the other hand, quantitative high-throughput screening (qHTS) assays screen thousands of compounds that use cells in a short period of time. The combination of both technologies has the potential to become a driving force for precision cancer therapy.
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影响因子：
7.4
作者：
Attene-Ramos, Matias S.;Miller, Nicole;Huang, Ruili;Michael, Sam;Itkin, Misha;Kavlock, Robert J.;Austin, Christopher P.;Shinn, Paul;Simeonov, Anton;Tice, Raymond R.;Xia, Menghang
通讯作者：
Xia, Menghang
影响因子：
64.5
作者：
Cheung KJ;Gabrielson E;Werb Z;Ewald AJ
通讯作者：
Ewald AJ
影响因子：
3.8
作者：
Brown, Daniel D.;Dabbs, David J.;McAuliffe, Priscilla F.
通讯作者：
McAuliffe, Priscilla F.
影响因子：
4.6
作者：
Chen C;Choudhury S;Wangsa D;Lescott CJ;Wilkins DJ;Sripadhan P;Liu X;Wangsa D;Ried T;Moskaluk C;Wick MJ;Glasgow E;Schlegel R;Agarwal S
通讯作者：
Agarwal S
影响因子：
64.8
作者：
通讯作者：
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