Microarray를 이용한 비용의 유전자 발현 분석
Gene Expression Analysis in Nasal Polyp Using Microarray
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초록
Background and Objectives A nasal polyp is a chronic inflammatory disease that affects 1~4% of the general adult population. It is characterized by edematous inflamed mucosa prolapsing into the nose, leading to nasal obstruction, abnormal secretions, loss of smell, headache, and a reduced quality of life. We sought to screen for diseases related genes in nasal polyp by using DNA microarray and to validate the altered expression of selected genes. Subjects and Method The samples were obtained from nine patients with nasal polyps and two patients with pituitary adenoma. DNA microarrays containing 22,063 genes were used to compare individual gene profiles of nasal polyp samples and normal mucosal samples. A study of mRNA expression of selected genes was performed using RT-PCR. Results 126 genes were up-regulated at least 2-fold, and 161 genes were down-regulated at least 50% in nasal polyps compared with the normal sinus mucosa. The three most up-regulated genes (STATH, TCN1, DMBT1) and one most down-regulated gene (SCGB1A1) were retested by means of RT-PCR. RT-PCR confirmed the differential expressions of all the genes in nasal polyp compared with normal sinus mucosa. Conclusion This study could provide a clue for investigating possible pathophysiologic processes involved in nasal polyps.
Abstract
Background and Objectives A nasal polyp is a chronic inflammatory disease that affects 1~4% of the general adult population. It is characterized by edematous inflamed mucosa prolapsing into the nose, leading to nasal obstruction, abnormal secretions, loss of smell, headache, and a reduced quality of life. We sought to screen for diseases related genes in nasal polyp by using DNA microarray and to validate the altered expression of selected genes. Subjects and Method The samples were obtained from nine patients with nasal polyps and two patients with pituitary adenoma. DNA microarrays containing 22,063 genes were used to compare individual gene profiles of nasal polyp samples and normal mucosal samples. A study of mRNA expression of selected genes was performed using RT-PCR. Results 126 genes were up-regulated at least 2-fold, and 161 genes were down-regulated at least 50% in nasal polyps compared with the normal sinus mucosa. The three most up-regulated genes (STATH, TCN1, DMBT1) and one most down-regulated gene (SCGB1A1) were retested by means of RT-PCR. RT-PCR confirmed the differential expressions of all the genes in nasal polyp compared with normal sinus mucosa. Conclusion This study could provide a clue for investigating possible pathophysiologic processes involved in nasal polyps.
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