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

Author:

Owen David M123454,Kwon Minjung1234,Huang Xuan1234,Nagari Anusha1234,Nandu Tulip1234,Kraus W Lee1234

Affiliation:

1. Laboratory of Signaling and Gene Regulation , Cecil H. and Ida Green Center for Reproductive Biology Sciences, , Dallas, TX , USA

2. University of Texas Southwestern Medical Center , Cecil H. and Ida Green Center for Reproductive Biology Sciences, , Dallas, TX , USA

3. Division of Basic Research , Department of Obstetrics and Gynecology, , Dallas, TX , USA

4. University of Texas Southwestern Medical Center , Department of Obstetrics and Gynecology, , Dallas, TX , USA

5. Division of General Obstetrics and Gynecology , Department of Obstetrics and Gynecology, , Dallas, TX , USA

Abstract

Abstract 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.

Funder

National Institutes of Health

National Institute of Child Health and Human Development

Burroughs Wellcome Fund Next Gen Pregnancy Initiative

National Human Genome Research Institute

Cecil H. and Ida Green Center for Reproductive Biology Sciences

Publisher

Oxford University Press (OUP)

Subject

Cell Biology,General Medicine,Reproductive Medicine

Reference96 articles.

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