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- miRNome miRNA PCR Array
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- 2026年01月16日
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miRNome miRNA PCR Array
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SAB
| Human miRNome miRNA PCR Array: MIHS-216Z | |
| The Human miRNome miScript miRNA PCR Array (V16.0, 96-well/Rotor-Disc 100) profiles the expression of the 1008 most abundantly expressed and best characterized miRNA sequences in the human miRNA genome (miRNome) as annotated in miRBase Release 16 (www.mirbase.org). Although they are well characterized, each of these miRNA sequences can regulate one to several messenger RNA transcripts, and conversely one mRNA can be regulated by one to several miRNA sequences. Therefore, the complex role that any given known miRNA sequence plays has yet to be completely defined. Use of the Human miRNome miScript miRNA PCR Array maximizes the likelihood of discovering miRNA sequences whose expression patterns correlate with the biological phenotypes under study. A set of controls included on each plate enables data analysis using the ΔΔCT method of relative quantification, assessment of reverse transcription performance, and assessment of PCR performance. The Human miRNome miScript miRNA PCR Array enables easy and reliable, SYBR Green-based real-time PCR analysis of the expression of 1008 miRNA sequences and discovery of those most important to the research area of interest. miScript miRNA PCR Arrays are intended for molecular biology applications. This product is not intended for the diagnosis, prevention or treatment of a disease. Both 96-well and Rotor-Disc 100 formats are available |
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文献和实验Profiling the miRNome: Detecting Global miRNA Expression Levels with DNA Microarrays
The ability to profile the miRNome (global microRNA/miRNA expression levels) accurately has become essential for multiple aspects of biological research. However, this process is complicated by the short length of the mature
的小分子――筛选一定大小的RNA分子，连接到3'和5'的适配子（adapters），逆转录并通过PCR扩增、亚克隆并测序。miRNA前体在基因组上的定位和聚类是通过向基因组数据库查询进行。这个方法有助于判断miRNAs是否是mRNAs、tRNAs、rRNAs等分子的降解产物。 有的实验室通过一种RNA folding program 'mfold'来判断C. elegans和C. briggsae之间的高度保守区域是否含有潜在的miRNA前体，然后用Northern Blots的方法来确定
。一般是做6张可以了。但是还要有后继实验的啊，比如real time pcr，进行验证芯片结果。做几十例，然后做统计。 要是配对的样本做配对T检验，但先做F检验，看是正态还是偏态分布。然后选择合适的统计方法。 以上是个人意见。 lide658 你好：我也曾经做过PCR-array芯片，首先我觉得你实验组和对照组各做3张完全可以计算P值，其次一般认为有差异的倍数是3倍，若是条件放宽一点，2倍的也可以入选。对于结果分析方面，有些公司
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