New Method for Analyzing Low-Expression Genes in Liver Cancer
Author Information
Author(s): Pan Yi-Shin, Lee Yun-Shien, Lee Yung-Lin, Lee Wei-Chen, Hsieh Sen-Yung
Primary Institution: Chang Gung Memorial Hospital, Tao-Yuan, Taiwan
Hypothesis
Can a modified SSH/microarray approach improve the detection of low-expression genes in human hepatoma?
Conclusion
The modified SSH/microarray approach is a highly sensitive and efficient tool for profiling low-expression transcriptomes in human hepatocellular carcinoma.
Supporting Evidence
- The modified SSH/microarray assays detected about ten times more differentially expressed genes than regular cDNA microarray assays.
- 5015 of the 9376 genes originally filtered out by regular cDNA microarray assays became analyzable by the SSH/microarray assays.
- The differential expression was validated in 9 randomly selected genes using quantitative RT-PCR.
Takeaway
Researchers found a better way to look at genes that are hard to see in liver cancer, helping them find more important genes that could be involved in the disease.
Methodology
The study used a modified suppressive subtractive hybridization (SSH) combined with cDNA microarray techniques to analyze mRNA from hepatoma and non-hepatoma liver tissues.
Limitations
The study was limited to three pairs of liver tissue samples from patients with different underlying liver diseases.
Participant Demographics
Three patients with hepatoma, including those with chronic hepatitis C and B.
Statistical Information
P-Value
p<0.01
Statistical Significance
p<0.01
Digital Object Identifier (DOI)
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