Dataset Information

Unbiased evaluation of cell-free amniotic fluid transcriptome of term and preterm infants to detect fetal maturity

ABSTRACT: Objective: Amniotic fluid (AF) is a proximal fluid to the fetus containing higher amounts of cell-free fetal RNA/DNA than maternal serum, thereby making it a promising source for novel biomarker discovery of fetal development and maturation. Our aim was to compare AF transcriptomic profiles at different time points in pregnancy to demonstrate unique genetic signatures that would serve as potential biomarkers indicative of fetal maturation. Methods: We isolated AF RNA from 16 women at different time points in pregnancy: 4 from 18-24 weeks, 6 from 34-36 weeks, and 6 from at 39-40 weeks. RNA-sequencing was performed on cell-free RNA. Gene expression and splicing analyses were performed in conjunction with cell-type and pathway inference. Results: Sample-level analysis at different time points in pregnancy yielded a strong correlation with cell types found in the intrauterine environment and fetal respiratory, digestive and external barrier tissues of the fetus, using high-confidence cellular molecular markers. While some genes and splice variants were present throughout pregnancy, an abundant number of transcripts were uniquely expressed at different time points in pregnancy and associated with distinct fetal co-morbidities (respiratory distress and gavage feeding), indicating fetal immaturity. Conclusions: The AF transcriptome exhibits unique cell- and organ-selective expression patterns at different time points in pregnancy that can potentially identify fetal organ maturity and predict neonatal morbidity. Developing novel biomarkers indicative of the maturation of multiple organ systems can improve upon our current methods of fetal maturity testing which focus solely on the lung, and better inform obstetrical decisions regarding delivery timing.

ORGANISM(S): Homo sapiens

PROVIDER: GSE68180 | GEO | 2015/10/12

SECONDARY ACCESSION(S): PRJNA281986

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:The placenta is a dynamic organ which undergoes extensive remodeling throughout pregnancy to support, protect and nourish the developing fetus. Despite the importance of the placenta, very little is known about its gene expression beyond very early pregnancy and post-partum. Therefore, we utilized RNA-sequencing to characterize the transcriptome from the fetal (chorioallantois) and maternal (endometrium) components of the placenta from mares throughout gestation (4, 6, 10, 11 m). Within the endometrium, 47% of genes changed throughout pregnancy, while in the chorioallantois, 29% of genes underwent significant changes in expression. Further bioinformatic analyses of both differentially expressed genes and highly expressed genes help reveal similarities and differences between tissues. Overall, the tissues were more similar than different, with ~ 95% of genes expressed in both tissues, and high similarities between the most highly expressed genes (9/20 conserved), as well as marked similarities between the PANTHER pathways identified. The most highly expressed genes fell under a few broad categories, including endocrine and immune-related transcripts, iron-binding proteins, extracellular matrix proteins, transport proteins and antioxidants. Serine protease inhibitors were particularly abundant, including SERPINA3, 6 and 14, as well as SPINK7 and 9. This paper also demonstrates the ability to effectively separate maternal and fetal components of the placenta, with only a minimal amount of chorioallantoic contamination in the endometrium (~8%). This aspect of equine placentation is a boon for better understanding gestational physiology and allows the horse to be used in areas where a separation of fetal and maternal tissues is essential. Overall, these data represent the first large-scale characterization of placental gene expression in any species and include time points from multiple mid- to late-gestational stages, helping further our understanding of gestational physiology.

Dataset Information

Unbiased evaluation of cell-free amniotic fluid transcriptome of term and preterm infants to detect fetal maturity

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure