piRNA Microarray Service

With the improvement of microarray and high-throughput sequencing technologies, researchers are able to conduct comprehensive and in-depth studies on the biological functions of piRNAs. piRNA microarrays are designed to analyze tens of thousands of piRNAs with high specificity and sensitivity, can be used for studying piRNA biology, molecular function, and biomarker applications. We offer a complete piRNA microarray service, from sample to thorough bioinformatics analysis.

Overview

piRNA (Piwi-interacting RNA) is a class of non-coding small RNAs isolated from mammalian germ cells. Mature piRNAs are a class of single-stranded small RNA molecules about 26-32 nt in length. The number of species of piRNA can be hundreds of times that of miRNA. piRNAs are poorly conserved even among closely related species and are distinct from miRNAs in length, expression type, and gene structure.

CD Genomics has developed piRNA microarray for human, mouse, and rat, which can detect the overall expression of piRNA. We employed an appropriate strategy to select probes and then used a duplex method to design antisense oligonucleotide probes. We will provide comprehensive services from sample preparation to full data analysis.

Features

High Sensitivity & High Precision High Specificity Comprehensive Annotations Professional Bioinformatics
Can detect low expression of single copy in each cell. piRNA microarray probes ensure the reliability of detection. Comprehensive piRNA targets and provides sufficient piRNA biological function annotations. High quality lncRNA database, systematic and detailed annotation and functional analysis.

Project Workflow

Sample Preparation

1. Sample Preparation

RNA purification; quality assessment and quantification.

Library Preparation

2. Labeled RNA

Prepare fluorescently labeled probes and use a labeling kit to fluorescently label piRNA.

Sequencing

3. Microarray Hybridization

The labeled probe was hybridized with a high-density microarray under standard conditions.

Data Analysis

4. Data Analysis

Preprocess and visualize results, and perform custom bioinformatics analysis.

Data Analysis:

Provide basic data information, including probe position, probe name, original signal value, corrected signal value, normalized signal value, the ratio of piRNA expression between samples;

Differentially expressed piRNA analysis;

Further data analysis: Scatter Plot (mainly for correlation R value calculation for single-color repeated experimental data); Hierarchical clustering (when performing multiple sample experiments, clustering is performed according to the similarity of gene expression, to classify multiple samples); calculate CV value, p value, and Volcano Plot (for repeated experiments (≥3)).

Sample Requirements

RNA samples or well-preserved tissue/cell specimens; RNA≥200 ng; Species: human, mouse, rat

Sample storage: Cell samples or fresh tissue pieces (cut into 5-10 mg pieces) can be treated with TRIzol or RNA protectant, frozen in liquid nitrogen, and stored at -80°C. RNA samples can be dissolved in ethanol or RNA-free ultrapure water, and stored at -80°C. Avoid repeated freezing and thawing during sample storage.

Shipping Method: The sample is stored in a 1.5 mL Eppendorf tube, sealed with sealing film. Shipments are generally recommended to contain 5-10 pounds of dry ice per 24 hours.

References:

  1. Reeves ME, Firek M, Jliedi A, Amaar YG. Identification and characterization of RASSF1C piRNA target genes in lung cancer cells. Oncotarget. 2017 May 23;8(21).
  2. Cheng J, Guo JM, Xiao BX, et al. piRNA, the new non-coding RNA, is aberrantly expressed in human cancer cells. Clinica chimica acta. 2011 Aug 17;412(17-18).
* For Research Use Only. Not for use in diagnostic procedures.


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