miRNA Microarray Service

MicroRNAs (miRNAs) are small non-coding RNAs (ncRNAs) that regulate the expression of target mRNAs. Microarray-based expression analysis is an ideal strategy for identifying candidate miRNAs associated with biological pathways and generating molecular signatures of disease states. The main applications of miRNA microarray include the screening of differentially expressed miRNAs and differential miRNA target gene prediction.


miRNAs belong to small ncRNAs. miRNAs are a class of endogenous non-coding RNAs with regulatory functions found in eukaryotes, with a length of about 18-25 nt. miRNAs do not have the ability to encode proteins. It is a major regulator of gene expression. Recent studies have shown that miRNAs play a huge role in cell differentiation, biological development and the occurrence and development of diseases.

CD Genomics uses a special probe design to distinguish mature miRNA and miRNA precursor microarray platform, which does not need to separate miRNA, and can directly use total RNA for experiments. As little as 100 ng of Total RNA can be used for RNA labeling, avoiding the influence of separation, enrichment, amplification and other processes. It can be widely used for miRNA detection of various samples, including tissue, serum, plasma, FFPE, frozen section tissue, exfoliated cells, etc.


High Sensitivity & High Precision High Specificity Comprehensive Annotations Professional Bioinformatics
Can detect low expression of single copy in each cell. miRNA-specific microarray probes ensure the reliability of detection. Comprehensive miRNA targets and provides sufficient miRNA 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. Library Preparation

cDNA library construction, labeling, and labeling efficiency quality assessment.


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.

LncRNA Microarray Service

Bioinformatics Analysis Pipeline

In-depth data analysis:

  • Data quality control & data standardization
  • Principal component analysis (PCA)
  • Differential gene statistical analysis cluster analysis: target gene prediction, GO/KEGG analysis.
  • Sample correlation analysis
  • Tests of cluster (STC) analysis
  • GO network construction
  • Pathway network construction
  • Time course analysis

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.


  1. Wang QX, Zhu YQ, Zhang H, Xiao J. Altered MiRNA expression in gastric cancer: a systematic review and meta-analysis. Cellular Physiology and Biochemistry. 2015;35(3):933-44.
  2. Zhao JJ, Yang J, Lin J, et al. Identification of miRNAs associated with tumorigenesis of retinoblastoma by miRNA microarray analysis. Child's Nervous System. 2009 Jan;25(1).
* For Research Use Only. Not for use in diagnostic procedures.


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