Gene Expression Array Service

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Arraystar offers the complete service based on Agilent whole genome microarrays, from sample to publishable data!


• Our expertise in the microarray experiments and high array technical quality are the key to the success of gene expression profiling.

• Our service is based on the most powerful platform in this field, Agilent, offering variety of choices in array content, density and analysis tools.

The gene expression arrays that are most often selected by our customers include:

Microarray Species Format Probe length Coverage
Whole Human Genome Human 4 * 44K 60-mer 27,958
Whole Mouse Genome Mouse 4 * 44K 60-mer 39,430
Whole Rat Genome Rat 4 * 44K 60-mer 26,930

Service NameFormatPrice
Gene Expression Array Service 4*44K
Gene Expression Array Service 8*60K

Arraystar's bioinformatics team has extensive experience in analyzing gene expression array data. We provide comprehensive data analyses, including:

• Raw Data Files

• Summary Report

• Box Plot, Scatter Plot and Hierarchical Clustering

• Differentially Expressed Gene Screening

• GO Analysis and Pathway Analysis(Fig.1)


Fig.1 GO and Pathway Analysis.  Significant GO terms/Pathways of differentially expressed gene. A bar plot is generated from the top 10 GO terms/Pathways containing the largest fold enrichment of differentially expressed genes. The plot gives a more intuitive view of the significant GO terms/Pathways.

Please refer to Sample Submission for details in how to get your project started.

• RNA isolation (Optional)


• cDNA synthesis

• Target preparation by labeling with Cy3

• Array hybridization, washing, and scanning

• Data extraction, analysis and summarization

Identification and characterization of a novel adiponectin receptor agonist adipo anti-inflammation agonist and its anti-inflammatory effects in vitro and in vivo. Qiu W, et al. British Journal of Pharmacology, 2021

A surrogate of Roux-en-Y gastric bypass (the enterogastro anastomosis surgery) regulates multiple beta-cell pathways during resolution of diabetes in ob/ob mice. Amouyal C, et al. EBioMedicine, 2020

Dietary carbohydrates modulate metabolic and beta cell adaptation to high fat diet-induced obesity. Her T, et al. American Journal of Physiology-Endocrinology and Metabolism. 2020

Astrocytes influence medulloblastoma phenotypes and CD133 surface expression. Gronseth E, et al. PloS one, 2020

The Toxoplasma effector TEEGR promotes parasite persistence by modulating NF-?B signalling via EZH2. Braun L, et al. Nature microbiology, 2019

Application of hydroxyapatite nanoparticles in tumor-associated bone segmental defect. Zhang K, et al. Science Advances, 2019

Engineered triple inhibitory receptor resistance improves anti-tumor CAR-T cell performance via CD56. Zou F, et al. Nature communications, 2019

Lymphocyte-Derived Exosomal MicroRNAs Promote Pancreatic ß Cell Death and May Contribute to Type 1 Diabetes Development. Guay C,et al. Cell metabolism, 2018

Osteoblast-secreted factors mediate dormancy of metastatic prostate cancer in the bone via activation of the TGFßRIII-p38MAPK-pS249/T252RB pathway. Yu-Lee L Y, et al. Cancer Research, 2018

MicroRNA-Mediated Dynamic Bidirectional Shift between the Subclasses of Glioblastoma Stem-like Cells. Rooj A K, et al. Cell Reports, 2017

MicroRNA Signatures and Molecular Subtypes of Glioblastoma: The Role of Extracellular Transfer. Godlewski J,  et al. Stem Cell Reports, 2017

Bmal1 is required for beta cell compensatory expansion, survival and metabolic adaptation to diet-induced obesity in mice. Rakshit K, et al. Diabetologia, 2016

FOXP3 promotes tumor growth and metastasis by activating Wnt/ß-catenin signaling pathway and EMT in non-small cell lung cancer. Yang S,et al. Molecular Cancer, 2017

Long noncoding RNA CRNDE stabilized by hnRNPUL2 accelerates cell proliferation and migration in colorectal carcinoma via activating Ras/MAPK signaling pathways. Jiang H, et al. Cell Death & Disease, 2017

In vitro expansion impaired the stemness of early passage mesenchymal stem cells for treatment of cartilage defects. Jiang T, et al. Cell Death & Disease, 2017

Circular RNAs as novel regulators of ß-cell functions in normal and disease conditions. Stoll L, et al. Molecular Metabolism, 2017

More Publications>>