Insights from gene arrays on the development and growth regulation of uterine leiomyomata

基因芯片分析揭示子宫平滑肌瘤的发育和生长调控机制

阅读:1

Abstract

OBJECTIVE: To use microarray analysis as an unbiased approach to identify genes involved in the induction and growth of uterine leiomyomata. DESIGN: Screen by arrays for up to 12,000 genes in leiomyoma (L) and control myometrium (M) from nine patients. SETTING: University research laboratories. PATIENT(S): Nine patients in the follicular and luteal phases of the menstrual cycle. INTERVENTION(S): mRNA from L and M was converted to biotin-labeled cRNA and hybridized to cDNA oligonucleotide sequences on the arrays. MAIN OUTCOME MEASURE(S): Greater than two-fold change in gene expression between leiomyoma and matched myometrium. RESULT(S): Prominent among the 67 genes overexpressed in L relative to M were dlk or Pref-1, doublecortin, JM27, ionotropic glutamate receptor subunit 2, apolipoprotein E3, IGF2, semaphorin F, myelin proteolipid protein, MEST, frizzled, CRABP II, stromelysin-3, and TGFbeta3. The genes dlk, IGF2, and MEST are paternally expressed imprinted genes, and the others are involved in tissue differentiation and growth. Prominent among the 78 genes down-regulated in L relative to M were alcohol dehydrogenases 1alpha-gamma, tryptase, dermatopontin, thrombospondin, coxsackievirus receptor, nur77, and c-kit. CONCLUSION(S): Arrays offer large-scale screening of mRNA expression, which will help us differentiate between the genes and metabolic pathways necessary for leiomyoma growth and those regulating myometrial contractions.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。