Ontology highlight
ABSTRACT:
PROVIDER: PRJNA622839 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The mechanisms by which DNA alleles contribute to disease risk, drug response, and other human phenotypes are highly context-specific, varying across cell types and under different conditions. Human induced pluripotent stem cells (hiPSCs) are uniquely suited to study these context-dependent effects, but to do so requires cell lines from hundreds or thousands of individuals. Village cultures, where multiple hiPSC lines are cultured and differentiated in a single dish, provide an elegant solution for scaling hiPSC experiments to the necessary sample sizes required for population-scale studies. Here, we show the utility of village models, demonstrating how cells can be assigned back to a donor line using single-cell sequencing and addressing whether line-specific signalling alters the transcriptional profiles of companion lines in a village. We generated single-cell RNA sequence data from hiPSC lines cultured independently (uni-culture) and in villages at three independent sites. Using a mixed linear model framework, we estimate that the proportion of transcriptional variation across cells is predominantly due to donor effects, with minimal evidence of variation due to culturing in a village system. We demonstrate that the genetic, epigenetic or hiPSC line-specific effects explain a large percentage of gene expression variation for many genes, not the village status. This is reiterated by replication of previously identified genetic effects. Finally, we demonstrate consistency in the landscape of cell states between uni- and village-culture systems. We demonstrate that village methods can effectively detect hiPSC line-specific effects, including sensitive dynamics of cell states.
2023-02-14 | GSE224950 | GEO
Project description:To effectively monitor microbial populations in acidic environments and bioleaching systems, a comprehensive 50-mer-based oligonucleotide microarray was developed based on most of the known genes associated with the acidophiles. This array contained 1,072 probes in which there were 571 related to 16S rRNA and 501 related to functional genes. Acid mine drainage (AMD) presents numerous problems to the aquatic life and surrounding ecosystems. However, little is known about the geographic distribution, diversity, composition, structure and function of AMD microbial communities. In this study, we analyzed the geographic distribution of AMD microbial communities from twenty sites using restriction fragment length polymorphism (RFLP) analysis of 16S rRNA genes, and the results showed that AMD microbial communities were geographically distributed and had high variations among different sites. Then an AMD-specific microarray was used to further analyze nine AMD microbial communities, and showed that those nine AMD microbial communities had high variations measured by the number of detected genes, overlapping genes between samples, unique genes, and diversity indices. Statistical analyses indicated that the concentrations of Fe, S, Ca, Mg, Zn, Cu and pH had strong impacts on both phylogenetic and functional diversity, composition, and structure of AMD microbial communities. This study provides insights into our understanding of the geographic distribution, diversity, composition, structure and functional potential of AMD microbial communities and key environmental factors shaping them. This study investigated the geographic distribution of Acid Mine Drainages microbial communities using a 16S rRNA gene-based RFLP method and the diversity, composition and structure of AMD microbial communities phylogenetically and functionally using an AMD-specific microarray which contained 1,072 probes ( 571 related to 16S rRNA and 501 related to functional genes). The functional genes in the microarray were involved in carbon metabolism (158), nitrogen metabolism (72), sulfur metabolism (39), iron metabolism (68), DNA replication and repair (97), metal-resistance (27), membrane-relate gene (16), transposon (13) and IST sequence (11).
2011-03-08 | E-GEOD-27542 | biostudies-arrayexpress
Project description:The mechanisms by which DNA alleles contribute to disease risk, drug response, and other human phenotypes are highly context-specific, varying across cell types and under different conditions. Human induced pluripotent stem cells (hiPSCs) are uniquely suited to study these context-dependent effects, but to do so requires cell lines from hundreds or thousands of individuals. Village cultures, where multiple hiPSC lines are cultured and differentiated in a single dish, provide an elegant solution for scaling hiPSC experiments to the necessary sample sizes required for population-scale studies. Here, we show the utility of village models, demonstrating how cells can be assigned back to a donor line using single-cell sequencing and addressing whether line-specific signalling alters the transcriptional profiles of companion lines in a village. We generated single-cell RNA sequence data from hiPSC lines cultured independently (uni-culture) and in villages at three independent sites. Using a mixed linear model framework, we estimate that the proportion of transcriptional variation across cells is predominantly due to donor effects, with minimal evidence of variation due to culturing in a village system. We demonstrate that the genetic, epigenetic or hiPSC line-specific effects explain a large percentage of gene expression variation for many genes, not the village status. This is reiterated by replication of previously identified genetic effects. Finally, we demonstrate consistency in the landscape of cell states between uni- and village-culture systems. We demonstrate that village methods can effectively detect hiPSC line-specific effects, including sensitive dynamics of cell states.
2023-02-14 | GSE225278 | GEO
Project description:To effectively monitor microbial populations in acidic environments and bioleaching systems, a comprehensive 50-mer-based oligonucleotide microarray was developed based on most of the known genes associated with the acidophiles. This array contained 1,072 probes in which there were 571 related to 16S rRNA and 501 related to functional genes. Acid mine drainage (AMD) presents numerous problems to the aquatic life and surrounding ecosystems. However, little is known about the geographic distribution, diversity, composition, structure and function of AMD microbial communities. In this study, we analyzed the geographic distribution of AMD microbial communities from twenty sites using restriction fragment length polymorphism (RFLP) analysis of 16S rRNA genes, and the results showed that AMD microbial communities were geographically distributed and had high variations among different sites. Then an AMD-specific microarray was used to further analyze nine AMD microbial communities, and showed that those nine AMD microbial communities had high variations measured by the number of detected genes, overlapping genes between samples, unique genes, and diversity indices. Statistical analyses indicated that the concentrations of Fe, S, Ca, Mg, Zn, Cu and pH had strong impacts on both phylogenetic and functional diversity, composition, and structure of AMD microbial communities. This study provides insights into our understanding of the geographic distribution, diversity, composition, structure and functional potential of AMD microbial communities and key environmental factors shaping them.
2011-03-08 | GSE27542 | GEO
Project description:Mining of fungal genomes uncovered their great potential for the production of novel secondary metabolites (SMs). However most of them stay silent under standard laboratory cultivation conditions. Co-cultivation of fungi with organism that occur in their natural habitat has shown to be trigger for the activation of such silent SM gene clusters. Recently, we showed that the cultivation of Aspergillus nidulans with the bacterium Streptomyces rapamycinicus leads to the activation of the orsellinic acid gene cluster. Hence we decided to study this interaction further to gain insight into the regulation of SM gene clusters and more specifically to study the chromatin remodelling network actuve upon co-cultivation of the two organisms. This study gives novel insight into the regulation of the orsellinic acid gene cluster and the interaction of the two organisms. To the best of our knowledge this is the first report of mapping the chromatin landscape of microbial interactions, making this study a role model for the analysis of similar systems.
2018-10-12 | E-MTAB-5819 | biostudies-arrayexpress