A single-cell atlas of human fetal lung development between 14 and 19 weeks of gestation
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1180968 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR31191041.fastq.gz | Fastqsanger.gz | |||
| SRR31191042.fastq.gz | Fastqsanger.gz | |||
| SRR31191043.fastq.gz | Fastqsanger.gz | |||
| SRR31191044.fastq.gz | Fastqsanger.gz | |||
| SRR31191045.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 32 |
Similar Datasets
Project description:Rationale. Human lung development has been mainly described in morphologic studies and the potential underlying molecular mechanisms were extrapolated from animal models. Therefore, there is a need to gather knowledge from native human lung tissue. In this study we describe changes at a single-cell level in human fetal lungs during the pseudoglandular stage. Methods. We report the cellular composition, cell trajectories and cell-to-cell communication in developing human lungs with single-nuclei RNA sequencing (snRNA-seq) on 23,251 nuclei isolated from nine human fetuses with gestational ages between 14 to 19 weeks of gestation. Results. We identified nine main lung cell populations and 21 sub-populations, including a rare pulmonary neuroendocrine cells population. For each cell type, marker genes are reported, and selected marker genes are used for spatial validation with fluorescent RNA in situ hybridization. Enrichment and changes in cell state analysis across the different gestational ages provide insight into molecular mechanisms and signaling pathways within individual cell clusters according to gestational age. Lastly, ligand-receptor analysis highlights determinants of cell-to-cell communication among the different cell types through the pseudoglandular stage, including general developmental pathways (NOTCH and TGFB), as well as more specific pathways involved in vasculogenesis, neurogenesis, and immune system regulation. Conclusion. These findings provide a clinically relevant background for research hypotheses generation in projects studying normal or impaired lung development and help to develop and validate surrogate models to study human lung development, such as human lung organoids.
2025-01-17 | GSE280880 | GEO
Project description:Embryo DNA fingerprinting represents an important tool for tracking embryo-specific outcomes after multiple embryo transfer during IVF. The situation in which 2 embryos are transferred and only one implants represents a unique opportunity for the most well-controlled comparison of competent and incompetent embryos. Specifically, this design eliminates all patient-related variables from the comparison of embryos with or without reproductive potential. However, in order to determine which embryo implanted, the investigator must wait until newborn DNA is available upon delivery. This study validates a non-invasive fetal DNA fingerprinting method that reduces the time to identify which embryo implanted by approximately 31 weeks. Thirty-four patients were studied to determine if fingerprinting of fetal DNA extracted from maternal plasma at 9 gestational weeks concurred with the buccal DNA results obtained from the newborn after delivery. This validation required single nucleotide polymorphism (SNP) profiles on each couples’ preimplantation embryos, enriched fetal DNA from maternal plasma at 9 weeks gestation, and newborn DNA obtained from buccal swabs after delivery. The predictions from fetal DNA-based embryo tracking and gender assignments made at 9 weeks gestation were 100% consistent with standardized methods of assessment performed after term delivery. This study demonstrates the first validated fetal DNA fingerprinting method which predicts both gender and which embryo implanted at 9 weeks gestation following multiple embryo transfer.
2011-04-14 | GSE26404 | GEO
Project description:Embryo DNA fingerprinting represents an important tool for tracking embryo-specific outcomes after multiple embryo transfer during IVF. The situation in which 2 embryos are transferred and only one implants represents a unique opportunity for the most well-controlled comparison of competent and incompetent embryos. Specifically, this design eliminates all patient-related variables from the comparison of embryos with or without reproductive potential. However, in order to determine which embryo implanted, the investigator must wait until newborn DNA is available upon delivery. This study validates a non-invasive fetal DNA fingerprinting method that reduces the time to identify which embryo implanted by approximately 31 weeks. Thirty-four patients were studied to determine if fingerprinting of fetal DNA extracted from maternal plasma at 9 gestational weeks concurred with the buccal DNA results obtained from the newborn after delivery. This validation required single nucleotide polymorphism (SNP) profiles on each couples’ preimplantation embryos, enriched fetal DNA from maternal plasma at 9 weeks gestation, and newborn DNA obtained from buccal swabs after delivery. The predictions from fetal DNA-based embryo tracking and gender assignments made at 9 weeks gestation were 100% consistent with standardized methods of assessment performed after term delivery. This study demonstrates the first validated fetal DNA fingerprinting method which predicts both gender and which embryo implanted at 9 weeks gestation following multiple embryo transfer. Affymetrix SNP arrays were processed and successfully completed according to the manufacturer's directions on DNA extracted from 136 embryos, 33 parental blood samples, 17 enriched fetal DNA samples and 21 buccal DNA samples.
2011-04-14 | E-GEOD-26404 | biostudies-arrayexpress
Project description:RNA-Seq of human fetal hearts at 9, 12 and 16 weeks of gestation
| PRJEB27811 | ENA
Project description:RNA-sequencing of bovine fetal ovaries throughout gestation
| PRJNA739136 | ENA
Project description:Understanding the developmental origins of reproductive disorders cannot be achieved without understanding normal development and the connected transcriptomics of the fetal ovary. To better understand this, we profiled and analysed RNA from fetal ovaries across gestation (62-276 days, n=19). The platform used detected 25,133 genes for each sample across gestation. Principal Component analysis of the data clustered the samples in three stages of development [early I (up to 98 days), early II (98-135 days) and late (> 135 days)]. Differential expression of genes between the three stages will then be used to delineate the pathways which are up-/down-regulated during these developmental stages.
2022-03-04 | GSE178450 | GEO
Project description:As part of the Human Cell Atlas we will study fetal tissue.
| EGAS00001002553 | EGA
Project description:Microarray analysis of human fetal microglia from the mid-trimester period was performed. DEGs were identified between early and late stages of the mid-trimester gestation. Genes expressed in the human fetal microglia were also compared with mouse microglia core signature.
2017-11-21 | GSE107128 | GEO
Project description:Fetal neutrophils from early embryonic stages display a reduced capacity to react to inflammatory stimuli, therefore this study aimed to investigate the underlying molecular mechanisms regulating fetal neutrophil function during ontogeny. Whole transcriptome analysis of human fetal cord blood-derived neutrophils from premature (<37 weeks of gestation) and mature (>37 weeks of gestation) infants, compairing their gene expression profiles to neutrophils from healthy adult donors
2023-01-26 | GSE222156 | GEO
Project description:Normal development in the brain requires temporal changes in gene expression. A better understanding of the genomics of the fetal brain during late gestation can help to improve our understanding of the molecular events that enable the newborn to survive extra-uterine life. The purpose of the present study is to model changes and coherence of gene expression in cerebral cortex, brainstem, hippocampus, and hypothalamus throughout the second half of gestation. We used the sheep as an animal model to identify co-expressed genes in different regions of the ovine fetal brain, from mid-gestation (80 days) to one day of postnatal life. In the ewe, gestation length varies from 142 to 152 days, with an average of 147 days. Using a newly-available ovine array and weighted gene co-expression network analysis (WGCNA), we tested the hypothesis that the resulting products of genes expressed in a similar pattern through the last stage of gestation in different brain regions are functionally related and could play an important role in the normal fetal development.
2014-06-30 | GSE50460 | GEO