Mirna receptivity analysis of the endometrium
An endometrial, receptive technique that is used for diagnostic and therapeutic purposes and can address issues such as low specificity
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example 1
[0105] Example 1: Materials and methods for generating miRNA expression profiles.
[0106] Endometrium specimens. Five days after progesterone administration in a hormone replacement therapy cycle (P+5) or seven days after the endogenous luteinizing hormone surge in a natural cycle (LH+7), endometrial suction curettes using the Pipelle (Cooper Surgical Company (Cooper Surgical, Inc.) collected endometrial samples from the female uterine cavity. The endometrial tissue was then stored in RNAlater.
[0107] RNA extraction and miRNA enrichment. Total RNA was isolated from endometrial tissue using the miRNeasy Micro Kit (QIAGEN) following the manufacturer's instructions. Briefly, five milligrams of endometrial tissue were disrupted with a motor and pestle and homogenized in liquid nitrogen. 700 microliters of QIAzol Lysis Reagent was added to the homogenized tissue, and the resulting sample was incubated at room temperature for five minutes to facilitate dissociation of the nuc...
example 2
[0110] Example 2: In silico miRNA analysis algorithms and their use.
[0111] like image 3 As shown in , an in silico miRNA analysis algorithm (MIRA) is constructed by performing one or more of the following steps: data normalization, data scaling, data transformation, predictive modeling, and cross-validation.
[0112] Data normalization. To make the distributions the same in statistical properties, normalize the data by percentile normalization. see image 3 Equation (A) in ; see also Bolstad et al., "A comparison of normalization methods for high density oligonucleotide array data based on variance and bias", Bioinformatics, 2003, 19(2): 185-193.
[0113] Data scaling. To ensure that the objective function is functioning properly, the numerical range of the data can be normalized so that the data have zero mean and unit variance. see image 3 Formula (B) in.
[0114] data conversion. For data reduction and feature extraction reasons, PCA compresses information from...
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