胎盘催乳素
生物
滋养层
GATA转录因子
人胎盘催乳素
转录因子
关贸总协定
转染
发起人
基因
基因表达调控
分子生物学
基因表达
胎盘
细胞生物学
遗传学
胎儿
怀孕
作者
Yuk-Kiu Ng,Kathleen M. George,James Douglas Engel,Daniel I. H. Linzer
出处
期刊:Development
[The Company of Biologists]
日期:1994-11-01
卷期号:120 (11): 3257-3266
被引量:137
标识
DOI:10.1242/dev.120.11.3257
摘要
The molecular determinants governing tissue-specific gene expression in the placenta are at present only poorly defined, particularly with respect to the regulation of specific hormone genes whose products are vital to embryonic development and the maintenance of a nurturing maternal environment. In continuing our analysis of the trophoblast-specific expression of the mouse placental lactogen I gene, we now demonstrate that the transcription factors GATA-2 and GATA-3 regulate the activity of this gene promoter. These factors are expressed in placental trophoblast cells, with peak levels of the GATA-2, GATA-3 and placental lactogen I mRNAs each accumulating at midgestation. Analysis of a region of the placental lactogen I gene promoter, previously shown to be sufficient for directing trophoblast-specific transcription, revealed the presence of three consensus binding sites for GATA-2 or GATA-3. Both GATA-2 and GATA-3 bind to these sites in vitro and mutation of these sites results in a significant decrease in promoter activity as assayed by transient transfection into the choriocarcinoma-derived cell line Rcho-1, which expresses endogenous GATA-2 and GATA-3. Furthermore, overexpression of GATA factors in Rcho-1 cells stimulates transcription from a co-transfected placental lactogen I gene promoter. Most significantly, expression of GATA-2 or GATA-3 was found to induce transcription from this promoter in transfected non-trophoblast (fibroblast) cells. These data indicate that GATA factors are both limiting and required transcriptional regulatory molecules in placental trophoblasts, and that the tissue specificity of the placental lactogen I gene is determined, at least in part, by GATA-2 and/or GATA-3.
科研通智能强力驱动
Strongly Powered by AbleSci AI