The Human Cancer Stem Cells miScript miRNA PCR Array profiles the expression of 84 miRNAs involved in cancer stem cell (CSC) biology. Cancer researchers have struggled with the vexing problem that although many cancer drugs dramatically reduce the size of the tumors, most cancers eventually relapse. Dynamic changes in cancer cell populations during treatment suggest that a small population of cells resistant to current therapies is ultimately responsible for the re-growth of tumors. Furthermore, studies imply that these cells may provide a reservoir for the generation and propagation of mutant cells, providing further resistance to therapy. The cancer stem cell hypothesis posits that only a very rare population of cells within tumors has the capacity for limitless self-renewal. This concept has important therapeutic implications, and may explain why many cancers return even after treatment removes any detectable tumor cells. If current treatments do not eliminate CSCs, then they may regenerate the tumor once treatment stops. Advances in technology have allowed the prospective identification and purification of CSCs from various different types of cancers for further characterization. Recent studies support the critical regulatory roles of the miRNAs represented by this array in CSC pluripotency, self-renewal, differentiation, metastasis, and tumor suppression. Profiling the differential expression of miRNAs in CSCs would allow a better understanding of miRNA function in CSCs and may provide invaluable insights into the molecular mechanisms of tumorigenesis and tumor progression. A set of controls present on each array enables data analysis using the ΔΔCT method of relative quantification, assessment of reverse transcription performance, and assessment of PCR performance. Using SYBR Green real-time PCR, the expression of a focused panel of cancer stem cell miRNAs can be easily and reliably analyzed with this miScript miRNA PCR Array. 96-well, 384-well ( 4 x 96 ), and Rotor-Disc 100 formats are available 癌症干细胞miRNA PCR芯片用于研究与肿瘤干细胞(CSCs)生物学相关的84个miRNA的表达。癌症研究人员疲于应对棘手的问题,尽管许多抗癌药物大幅减少肿瘤的大小,最终大多数癌症复发。在治疗期间癌症细胞种群的动态变化表明,一个小种群细胞抵抗目前的治疗方法是最终负责肿瘤复发。此外,研究表明,这些细胞可能会提供一个突变细胞的生成和传播储蓄池提供进一步的抵抗治疗。肿瘤干细胞假说认为在肿瘤中只有很少的细胞具有无限的自我更新能力。这一概念具有重要的治疗意义,甚至也许可以解释为什么许多癌症恢复甚至在治疗清除任何检测到的肿瘤细胞后。目前的治疗如果不消除癌症干细胞,那么一旦停止治疗它们可能会再生肿瘤。最近技术的进步使得CSCs从不同类型的癌症中做的预期鉴定和纯化作进一步鉴定。这个芯片包括CSC分子标记和调节CSC增殖、自我更新和多潜能帮助确保CSC隔离培养的稳定性的基因。还包括参与CSC不对称细胞分裂、迁移和转移、促进CSC鉴定的相关信号转导通路的基因,以及当前已测试的治疗靶点。分析CSCs中miRNA的差异表达将助于更好地理解肿瘤发生和肿瘤进展的分子机制。每张芯片含一个对照组使得分析数据时可以用相对定量ΔΔCT方法评估逆转录效率,基因组DNA污染,和PCR效率。利用这张芯片,通过实时定量PCR,可以简易且可靠地分析癌症干细胞miRNA的表达。 Pluripotency & Differentiation: let-7a-5p, miR-122-5p, miR-122-5p, miR-134-5p, miR-137, miR-145-5p, miR-181a-5p, miR-181c-5p, miR-183-5p, miR-184, miR-200a-3p, miR-200c-3p, miR-320d, miR-34a-5p. Self-Renewal & Proliferation: miR-134-5p, miR-137, miR-141-3p, miR-182-5p, miR-183-5p, miR-184, miR-200b-3p, miR-203a, miR-21-5p, miR-296-5p, miR-302a-3p, miR-429, miR-9-5p, miR-96-5p. Migration & Metastasis: let-7a-5p, let-7a-5p, let-7b-5p, let-7c-5p, let-7d-5p, let-7e-5p, let-7f-5p, let-7g-5p, let-7i-5p, miR-16-5p, miR-17-5p, miR-181b-5p, miR-200a-3p, miR-200b-3p, miR-200c-3p, miR-22-3p, miR-302a-3p, miR-373-3p, miR-517a-3p, miR-9-5p. Oncogenesis & Tumor Suppression: let-7a-5p, let-7b-5p, let-7c-5p, let-7d-5p, let-7e-5p, let-7f-5p, let-7g-5p, let-7i-5p, miR-181b-5p, miR-373-3p, miR-517a-3p. Differentially Expressed miRNAs: Up-Regulated: miR-105-5p, miR-106b-5p, miR-125b-5p, miR-132-3p, miR-135b-5p, miR-142-3p, miR-146a-5p, miR-146b-5p, miR-150-5p, miR-155-5p, miR-16-2-3p, miR-193a-3p, miR-199b-5p, miR-20a-5p, miR-221-3p, miR-222-3p, miR-223-3p, miR-25-3p, miR-299-5p, miR-29b-3p, miR-31-5p, miR-409-3p, miR-423-5p, miR-455-3p, miR-455-5p, miR-494-3p, miR-516a-5p, miR-522-3p, miR-744-5p. Down-Regulated: miR-103a-3p, miR-10a-5p, miR-1181, miR-1207-5p, miR-128-3p, miR-130a-3p, miR-15a-5p, miR-15b-5p, miR-185-5p, miR-425-5p, miR-451a, miR-486-5p, miR-548d-5p, miR-636. Regulated: miR-107, miR-142-5p, miR-151a-3p, miR-365a-3p.
What miScript miRNA PCR Arrays offer? Guaranteed Performance* - ready-to-use for gene expression analysis Time & Cost Saving - less than 30 min hands-on time to analyze 84 or 372 miRNA Simple Data Analysis - easy-to-use Excel-Based Data Analysis Template |