The amniotic fluid transcriptome: a source of novel information about human fetal development
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE33168 | GEO | 2012/01/11
SECONDARY ACCESSION(S): PRJNA149231
REPOSITORIES: GEO
Similar Datasets
Project description:Amniotic fluid (AF) is a complex biological material that provides a unique window into the developing human. Residual AF supernatant contains cell-free fetal RNA. The objective of this study was to develop an understanding of the AF core transcriptome by identifying the transcripts ubiquitously present in the AF supernatant of euploid midtrimester fetuses. We detected 476 well-annotated genes present in all twelve AF samples. Functional analysis identified 6 physiological systems represented in the AF core transcriptome, including musculoskeletal and nervous system development and function and embryonic/ organismal development. mTOR signaling was identified as a key canonical pathway. Twenty-three highly organ-specific transcripts were identified; six of these are known to be highly expressed by fetal brain. This study demonstrates that AF cell-free fetal RNA can provide biological information about multiple fetal organ systems. This was an in silico investigation of gene expression in 12 euploid midtrimester AF samples acquired primarily for advanced maternal age. We focused on the transcripts called M-bM-^@M-^\presentM-bM-^@M-^] in all of the samples. Functional analyses were performed using Ingenuity software. Fetal-organ specificity was examined for each transcript using the GNF Gene Expression Atlas. For fetal organs not represented in the atlas, manual literature searching and Ingenuity analysis were used.
2012-01-11 | E-GEOD-33168 | biostudies-arrayexpress
Project description: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.
2015-10-12 | GSE68180 | GEO
Project description:Background: Turner syndrome, a common sex chromosome aneuploidy, has characteristics and malformations associated with the phenotype. Fetal amniotic fluid is a complex biological material that could contribute to the understanding Turner syndrome pathogenesis. Global gene expression analysis of Turner syndrome fetal amniotic fluid supernatant was utilized to identify organ systems and specific genes that may play a role in the pathophysiologic changes that are seen in individuals with Turner syndrome. Methods: Global gene expression analysis was performed utilizing cell-free RNA from five midtrimester fetuses with Turner syndrome matched with five euploid female fetuses. Total RNA was extracted, amplified, hybridized onto GeneChipM-BM-. Human Genome U133 Plus 2.0 arrays. Network and pathway analysis of differentially expressed genes were completed. Chromosomal distribution of gene expression differences, differential expression by pathway and organ system (a M-bM-^@M-^\Turner syndrome core transcriptomeM-bM-^@M-^]), and candidate genes that could play a pathological role were identified. Results: There were 470 differentially expressed genes identified in the Turner syndrome transcriptome. The differentially expressed genes were distributed randomly across different chromosomes. Among genes on the X chromosome, XIST was down-regulated, and SHOX not differentially expressed. The most highly represented organ systems were hematologic/immune and neurologic. Increased representation of differentially expressed genes in the hematologic/immune system distinguishes the Turner syndrome transcriptome from the euploid, trisomy 18 and trisomy 21 transcriptomes previously studied in our laboratory. Manual curation of the differentially expressed gene list identified genes including NFATC3, IGFBP5, and LDLR that warrant further study. 2nd trimester amniotic fluid mRNA expression was compared between 5 Turners and 5 euploid fetuses.
2014-06-13 | E-GEOD-58435 | biostudies-arrayexpress
Project description:Background: Turner syndrome, a common sex chromosome aneuploidy, has characteristics and malformations associated with the phenotype. Fetal amniotic fluid is a complex biological material that could contribute to the understanding Turner syndrome pathogenesis. Global gene expression analysis of Turner syndrome fetal amniotic fluid supernatant was utilized to identify organ systems and specific genes that may play a role in the pathophysiologic changes that are seen in individuals with Turner syndrome. Methods: Global gene expression analysis was performed utilizing cell-free RNA from five midtrimester fetuses with Turner syndrome matched with five euploid female fetuses. Total RNA was extracted, amplified, hybridized onto GeneChip® Human Genome U133 Plus 2.0 arrays. Network and pathway analysis of differentially expressed genes were completed. Chromosomal distribution of gene expression differences, differential expression by pathway and organ system (a “Turner syndrome core transcriptome”), and candidate genes that could play a pathological role were identified. Results: There were 470 differentially expressed genes identified in the Turner syndrome transcriptome. The differentially expressed genes were distributed randomly across different chromosomes. Among genes on the X chromosome, XIST was down-regulated, and SHOX not differentially expressed. The most highly represented organ systems were hematologic/immune and neurologic. Increased representation of differentially expressed genes in the hematologic/immune system distinguishes the Turner syndrome transcriptome from the euploid, trisomy 18 and trisomy 21 transcriptomes previously studied in our laboratory. Manual curation of the differentially expressed gene list identified genes including NFATC3, IGFBP5, and LDLR that warrant further study.
2014-06-13 | GSE58435 | GEO
Project description:The second trimester fetal transcriptome can be assessed based on cell-free RNA found within the amniotic fluid supernatant. The objective of this study was to compare the suitability of two technologies for profiling the human fetal transcriptome: RNA-Seq and expression microarray. Comparisons were based on total numbers of gene detected, rank-order gene expression, and functional genomic analysis. Fewer gene transcripts were observed using RNA-Seq than microarray (4,158 vs 8,842). Correlation of total expression within each sample ranged from R=0.43 to R=0.57. On average, there was 59% concordance in gene identity among the top 10% of genes ranked by expression. The RNA-Seq data yielded more significant pathways enrichment within the ?Physiological Systems Development and Function? categories of IPA. Alternative splicing of many well-known genes, including those previously studied in fetal development, such as H19 and IGF2 is detected by RNA-Seq. Also included in this paper is discussion of the technical challenges inherent to working with cell-free fetal RNA and possible solutions. Cell-free fetal RNA from the amniotic fluid supernatant of five second trimester fetuses was divided and prepared in tandem for analysis using either the Illumina HiSeq 2000 or Affymetrix HG-U133 Plus 2.0 GeneChip microarray.
2014-05-27 | E-GEOD-49891 | biostudies-arrayexpress
Project description:The second trimester fetal transcriptome can be assessed based on cell-free RNA found within the amniotic fluid supernatant. The objective of this study was to compare the suitability of two technologies for profiling the human fetal transcriptome: RNA-Seq and expression microarray. Comparisons were based on total numbers of gene detected, rank-order gene expression, and functional genomic analysis. Fewer gene transcripts were observed using RNA-Seq than microarray (4,158 vs 8,842). Correlation of total expression within each sample ranged from R=0.43 to R=0.57. On average, there was 59% concordance in gene identity among the top 10% of genes ranked by expression. The RNA-Seq data yielded more significant pathways enrichment within the ?Physiological Systems Development and Function? categories of IPA. Alternative splicing of many well-known genes, including those previously studied in fetal development, such as H19 and IGF2 is detected by RNA-Seq. Also included in this paper is discussion of the technical challenges inherent to working with cell-free fetal RNA and possible solutions. Cell-free fetal RNA from the amniotic fluid supernatant of five second trimester fetuses was divided and prepared in tandem for analysis using either the Illumina HiSeq 2000 or Affymetrix HG-U133 Plus 2.0 GeneChip microarray.
2014-05-27 | E-GEOD-49890 | biostudies-arrayexpress
Project description:Transcriptomic profiling is a crucial tool for understanding growth, development, behavior and predisposition to diseases and the development of health biomarkers. Here, we demonstrate the feasibility of transcriptomic assessment of cell-free fetal RNA in vervet monkey amniotic fluid supernatant (AFS).
2019-09-13 | GSE119908 | GEO
Project description:The second trimester fetal transcriptome can be assessed based on cell-free RNA found within the amniotic fluid supernatant. The objective of this study was to compare the suitability of two technologies for profiling the human fetal transcriptome: RNA-Seq and expression microarray. Comparisons were based on total numbers of gene detected, rank-order gene expression, and functional genomic analysis. Fewer gene transcripts were observed using RNA-Seq than microarray (4,158 vs 8,842). Correlation of total expression within each sample ranged from R=0.43 to R=0.57. On average, there was 59% concordance in gene identity among the top 10% of genes ranked by expression. The RNA-Seq data yielded more significant pathways enrichment within the ?Physiological Systems Development and Function? categories of IPA. Alternative splicing of many well-known genes, including those previously studied in fetal development, such as H19 and IGF2 is detected by RNA-Seq. Also included in this paper is discussion of the technical challenges inherent to working with cell-free fetal RNA and possible solutions.
2014-05-27 | GSE49890 | GEO
Project description:The second trimester fetal transcriptome can be assessed based on cell-free RNA found within the amniotic fluid supernatant. The objective of this study was to compare the suitability of two technologies for profiling the human fetal transcriptome: RNA-Seq and expression microarray. Comparisons were based on total numbers of gene detected, rank-order gene expression, and functional genomic analysis. Fewer gene transcripts were observed using RNA-Seq than microarray (4,158 vs 8,842). Correlation of total expression within each sample ranged from R=0.43 to R=0.57. On average, there was 59% concordance in gene identity among the top 10% of genes ranked by expression. The RNA-Seq data yielded more significant pathways enrichment within the ?Physiological Systems Development and Function? categories of IPA. Alternative splicing of many well-known genes, including those previously studied in fetal development, such as H19 and IGF2 is detected by RNA-Seq. Also included in this paper is discussion of the technical challenges inherent to working with cell-free fetal RNA and possible solutions.
2014-05-27 | GSE49891 | GEO
Project description:To investigate fetal gene expression in obese compared to lean women in the second trimester, by performing global gene expression analysis of amniotic fluid (AF) cell-free RNA Analysis of paired data from obese cases and lean controls revealed differential expression of 205 genes. Functional analysis of differentially expressed genes suggested down-regulation of apoptosis in fetuses of obese women, particularly within nervous system pathways involving the cerebral cortex, and activation of pro-estrogenic, pro-inflammatory transcriptional regulators. Prospective whole transcriptome microarray study analyzing cell-free RNA in AF from obese cases and lean controls in the second trimester. Significantly differentially-regulated genes in fetuses of obese cases (N= 8) vs. matched lean controls (N = 8) were identified and functional analyses were performed. Tissue-specific differential gene expression in fetuses of obese women was also examined.
2013-07-04 | E-GEOD-48521 | biostudies-arrayexpress