Genome-wide identification of transcriptional enhancers during human placental development and association with function, differentiation, and disease

被引:1
|
作者
Owen, David M. [1 ,2 ,3 ]
Kwon, Minjung [1 ,2 ]
Huang, Xuan [1 ,2 ]
Nagari, Anusha [1 ,2 ]
Nandu, Tulip [1 ,2 ]
Kraus, W. Lee [1 ,2 ,4 ]
机构
[1] Univ Texas Southwestern Med Ctr, Cecil H & Ida Green Ctr Reprod Biol Sci, Lab Signaling & Gene Regulat, Dallas, TX USA
[2] Univ Texas Southwestern Med Ctr, Dept Obstet & Gynecol, Div Basic Res, Dallas, TX USA
[3] Univ Texas Southwestern Med Ctr, Dept Obstet & Gynecol, Div Gen Obstet & Gynecol, Dallas, TX USA
[4] Univ Texas Southwestern Med Ctr Dallas, Cecil H & Ida Green Ctr Reprod Biol Sci, 5323 Harry Hines Blvd, Dallas, TX 75390 USA
关键词
placenta; trophoblast; stem cell; gene expression; transcription factor; genomics; RNA-sequencing (RNA-seq); chromatin immunoprecipitation-sequencing (ChIP-seq); RNA-SEQ REVEALS; GENE-EXPRESSION; SINGLE-CELL; BIRTH-WEIGHT; PREECLAMPSIA; PATHOLOGY; PATTERNS; NETWORK; RISK;
D O I
10.1093/biolre/ioad119
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The placenta is a dynamic organ that must perform a remarkable variety of functions during its relatively short existence in order to support a developing fetus. These functions include nutrient delivery, gas exchange, waste removal, hormone production, and immune barrier protection. Proper placenta development and function are critical for healthy pregnancy outcomes, but the underlying genomic regulatory events that control this process remain largely unknown. We hypothesized that mapping sites of transcriptional enhancer activity and associated changes in gene expression across gestation in human placenta tissue would identify genomic loci and predicted transcription factor activity related to critical placenta functions. We used a suite of genomic assays [i.e., RNA-sequencing (RNA-seq), Precision run-on-sequencing (PRO-seq), and Chromatin immunoprecipitation-sequencing (ChIP-seq)] and computational pipelines to identify a set of >20 000 enhancers that are active at various time points in gestation. Changes in the activity of these enhancers correlate with changes in gene expression. In addition, some of these enhancers encode risk for adverse pregnancy outcomes. We further show that integrating enhancer activity, transcription factor motif analysis, and transcription factor expression can identify distinct sets of transcription factors predicted to be more active either in early pregnancy or at term. Knockdown of selected identified transcription factors in a trophoblast stem cell culture model altered the expression of key placental marker genes. These observations provide a framework for future mechanistic studies of individual enhancer-transcription factor-target gene interactions and have the potential to inform genetic risk prediction for adverse pregnancy outcomes.
引用
收藏
页码:965 / 981
页数:17
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