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Updated: Jun 5, 2026
A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces
Published on: March 1, 2017
[Screening and identification of differential expression genes related to stress fracture by cDNA microarray assay]
Hua-bing Zhao1, Yi-zheng Wang, Xiao-xia Lan
1Key Laboratory of Biomarkers for Occupational and Environmental Hazard, Medical College of Chinese People's Armed Police Forces, Tianjin 300162, China.
Objective:
To evaluate the differentially expressed genes between the Stress fracture (SF) cases and controls.
Methods:
Total RNA was extracted and purified from peripheral blood sample of 3 SF cases and 3 controls who conducted a 1:1 matched case-control study, then used for Human Genome Array analysis. The hybridization data were analyzed using SAM software. Parts of these genes were analyzed and identified by real-time PCR.
Results:
Upregulated and downregulated genes were 22 and 1, respectively. Thus the highest ratio and most significant cytokine was tumor necrosis factor receptor superfamily, member 10c (TNFRSF10C). The result of real-time PCR shows that TNFRSF10C was over-expressed in 3 cases and low-expressed in 1 case.
Conclusion:
Obvious difference exists in gene expression between SF cases and controls, showing there may be a lot of genes involving in the occurrence and development of SF. Meanwhile, the identification of the specific genes is helpful for biomechanics study, early diagnosis and screening of SF.
