Tissue-specific non-heritable influence drive uterine immune system variation (ATAC-seq)
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA934582 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR23400949_1.fastq.gz | Fastqsanger.gz | |||
| SRR23400949_2.fastq.gz | Fastqsanger.gz | |||
| SRR23400950_1.fastq.gz | Fastqsanger.gz | |||
| SRR23400950_2.fastq.gz | Fastqsanger.gz | |||
| SRR23400951_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 96 |
Similar Datasets
Project description:Tissue-specific non-heritable influence drive uterine immune system variation
| PRJNA933605 | ENA
Project description:Tissue-specific non-heritable influence drive uterine immune system variation (RNA-seq)
| PRJNA934581 | ENA
Project description:Human twin studies have revealed the combined contribution of heritable and non-heritable (environmental) factors in shaping peripheral blood immune system variability. However, the heterogeneity within tissue immune compartments and the contribution of tissue-specific external factors remain unexplored. The human uterus is a tissue under constant regeneration exposed to distinct environmental factors. To assess uterine immune system variation, we have performed a transcriptomic and epigenetic analysis of uterine and peripheral blood immune cells in monozygotic twins and longitudinal samples in relation to heritable versus non-heritable factors.
2024-04-12 | GSE225040 | GEO
Project description:Human twin studies have revealed the combined contribution of heritable and non-heritable (environmental) factors in shaping peripheral blood immune system variability. However, the heterogeneity within tissue immune compartments and the contribution of tissue-specific external factors remain unexplored. The human uterus is a tissue under constant regeneration exposed to distinct environmental factors. To assess uterine immune system variation, we have performed a transcriptomic and epigenetic analysis of uterine and peripheral blood immune cells in monozygotic twins and longitudinal samples in relation to heritable versus non-heritable factors.
2024-04-12 | GSE225041 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
2024-04-12 | GSE225042 | GEO
Project description:Heritable states influence stem cell fates upon acquisition of cancer mutations
| PRJNA1106425 | ENA
Project description:Tumors with the same driver mutations can display a striking variation in their progression and treatment response, but the origins of this variation are still unclear. In this study, we use state-fate analysis to unveil that heritable stem cell states can influence how individual cells respond to the acquisition of the same cancer mutation. We develop a new methodological pipeline, single-cell Tracking of Recombinase Activation And Clonal Kinetics, and apply it to hematopoietic stem cells carrying Cre/Flp-conditional leukemia alleles. Tracking the gene expression changes and expansion kinetics of a common set of stem cell clones, with and without the same myeloid leukemia mutations, we unveil a striking heterogeneity in the malignant fates of diverse stem cells. First, we define that heritable clonal states persist in expansion cultures and cause the selection of a small group of clones with a specific fitness signature. Then, using mouse models of the most frequent initiating mutations, we define that these pre-existent stem cell states influence the mutation-induced changes in expansion, fate, and malignant gene expression programs. Initiating driver mutations increase the survival probability of clones with low fitness through enhancing their stemness programs. Surprisingly, the fate of high-fitness stem-cell clones is sometimes reversed, producing more mature leukemias, yet still carrying markers of their cell of origin. We further validate these HSC-of-origin signatures in bulk and single-cell RNAseq datasets from cancer patients. Our findings suggest that aggressive premalignant clonal expansions arise from low-fitness stem cells more frequently than previously expected.
2024-09-17 | GSE266232 | GEO
Project description:Gene expression levels are determined by the balance between rates of mRNA transcription and decay, and genetic variation in either of these processes can result in heritable differences in transcript abundance. Although the genetics of gene expression has been the subject of intense interest, the contribution of heritable variation in mRNA decay rates to gene expression variation has received far less attention. To this end, we developed a novel statistical framework and measured allele-specific differences in mRNA decay rates in a diploid yeast hybrid created by mating two genetically diverse parental strains. In total, we estimate that 31% of genes exhibit allelic differences in mRNA decay rate, of which 350 can be identified at a false discovery rate of 10%. Genes with significant allele-specific differences in mRNA decay rate have higher levels of polymorphism compared to other genes, with all gene regions contributing to allelic differences in mRNA decay rate. Strikingly, we find widespread evidence for compensatory evolution, such that variants influencing transcriptional initiation and decay having opposite effects, suggesting steady-state gene expression levels are subject to pervasive stabilizing selection. Our results demonstrate that heritable differences in mRNA decay rates are widespread, and are an important target for natural selection to maintain or fine-tune steady-state gene expression levels.
2014-09-16 | GSE60617 | GEO
Project description:LTR retrotransposons transcribed in oocytes drive species-specific and heritable changes in DNA methylation
| PRJNA448528 | ENA
Project description:Gene expression levels are determined by the balance between rates of mRNA transcription and decay, and genetic variation in either of these processes can result in heritable differences in transcript abundance. Although the genetics of gene expression has been the subject of intense interest, the contribution of heritable variation in mRNA decay rates to gene expression variation has received far less attention. To this end, we developed a novel statistical framework and measured allele-specific differences in mRNA decay rates in a diploid yeast hybrid created by mating two genetically diverse parental strains. In total, we estimate that 31% of genes exhibit allelic differences in mRNA decay rate, of which 350 can be identified at a false discovery rate of 10%. Genes with significant allele-specific differences in mRNA decay rate have higher levels of polymorphism compared to other genes, with all gene regions contributing to allelic differences in mRNA decay rate. Strikingly, we find widespread evidence for compensatory evolution, such that variants influencing transcriptional initiation and decay having opposite effects, suggesting steady-state gene expression levels are subject to pervasive stabilizing selection. Our results demonstrate that heritable differences in mRNA decay rates are widespread, and are an important target for natural selection to maintain or fine-tune steady-state gene expression levels. We measured rates of allele-specific mRNA decay (ASD) in a diploid yeast produced by mating two genetically diverse haploid Saccharomyces cerevisiae strains: the laboratory strain BY4716 (BY), which is isogenic to the reference sequence strain S288C, and the wild Californian vineyard strain RM11-1a (RM). Briefly, we introduced rpb1-1, a temperature sensitive mutation in an RNA polymerase II subunit, to each of the haploid yeast strains, mated the strains, and grew the resulting hybrid diploid to mid-log phase at 24 M-BM-0C, before rapidly shifting the culture to 37 M-BM-0C to inhibit transcription. RNA-seq was performed on culture samples taken at 0, 6, 12, 18, 24, and 42 minutes subsequent to the temperature shift. To identify ASD, we used transcribed polymorphisms to distinguish between parental transcripts, and compared the relative levels of transcript abundance over the time course. Note, this experimental design internally controls for trans-acting regulatory variation as well as environmental factors. Under the null hypothesis of no ASD, the proportion of reads from the BY transcript (p_BY = N_BY / (N_BY + N_RM)) observed over the time course remains unchanged. However, genes with ASD will exhibit an increasing or decreasing proportion of BY reads as a function of time. In total, we measured ASD from three independent biological replicates.
2014-09-16 | E-GEOD-60617 | biostudies-arrayexpress