MAGE
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB21521 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Microbial diversity in a landscape in Madagascar
| PRJEB19977 | ENA
Project description:Although situated ~400 km from the east coast of Africa, Madagascar exhibits cultural, linguistic, and genetic traits from both Southeast Asia and Eastern Africa. The settlement history remains contentious; we therefore used a grid-based approach to sample at high-resolution the genomic diversity (including maternal lineages, paternal lineages, and genome-wide data) across 257 villages and 2704 Malagasy individuals. We find a common Bantu and Austronesian descent for all Malagasy individuals with a limited paternal contribution from Europe and the Middle East. Admixture and demographic growth happened recently, suggesting a rapid settlement of Madagascar during the last millennium. However, the distribution of African and Asian ancestry across the island reveals that the admixture was sex biased and happened heterogeneously across Madagascar, suggesting independent colonization of Madagascar from Africa and Asia rather than settlement by an already-admixed population. In addition, there are geographic influences on the present genomic diversity, independent of the admixture, showing that a few centuries is sufficient to produce detectable genetic structure in human populations.
| EGAS00001002549 | EGA
Project description:Genotyping of RpoD mutants via amplicon sequencing from the following manuscript: \\"Systematic dissection of σ70 sequence diversity and function in bacteria\\" by Park and Wang (2020). Includes raw sequencing reads from samples from MAGE-seq single codon saturation mutagenesis and high-throughput fitness competition experiment as well as the RpoD ortholog mutants generated through recombineering and CRISPR selection.
2022-06-06 | E-MTAB-9103 | biostudies-arrayexpress
Project description:Characterisation of eggshell proteomes from the extinct Madagascar elephant bird
2023-01-20 | PXD035725 | Pride
Project description:The inability to establish stable cell lines from the vast majority of human tumors has limited the use of in vitro models to study human cancer. Currently available tumor cell lines fail to represent the biological diversity of human tumors. We have developed a cell culture medium that enabled us to routinely establish cell lines from diverse subtypes of ovarian tumors. Importantly, the twenty-five ovarian tumor cell lines described here retain the genomic landscape, histopathology, and molecular features of the original tumors. Furthermore, the molecular profile and drug response of these cell lines correlated with distinct groups of primary tumors with different outcomes. Thus, tumor cell lines derived using this methodology represent a significantly improved new platform to study human tumor biology and treatment. DNA was extracted from 25 OCI (human ovarian cancer) cell lines.
2015-06-16 | E-GEOD-40786 | biostudies-arrayexpress
Project description:The complexity of the brain and the links entailed to its functional diversity remain a major challenge of biology to understand. Distinct anatomical areas regulate a vast array of processes including organismal homeostasis, cognitive functions and susceptibility to neurological pathologies, many of which define our species. Distal enhancers have emerged as key regulatory elements that acquire epigenetic modifications in a cell-type specific manner, thus enforcing cell- and species-specific gene expression programs. Here, we survey the epigenetic landscape of promoters and cis-regulatory elements in 87 anatomically distinct regions of the human brain, spanning over a hundred different anatomical structures. ChIP-Seq of various regions of the human brain. Also includes mouse and rat samples. Contributor: The Netherlands Brain Bank
2014-10-15 | E-GEOD-40465 | biostudies-arrayexpress
Project description:The inability to establish stable cell lines from the vast majority of human tumors has limited the use of in vitro models to study human cancer. Currently available tumor cell lines fail to represent the biological diversity of human tumors. We have developed a cell culture medium that enabled us to routinely establish cell lines from diverse subtypes of ovarian tumors. Importantly, the twenty-five ovarian tumor cell lines described here retain the genomic landscape, histopathology, and molecular features of the original tumors. Furthermore, the molecular profile and drug response of these cell lines correlated with distinct groups of primary tumors with different outcomes. Thus, tumor cell lines derived using this methodology represent a significantly improved new platform to study human tumor biology and treatment. 41 samples were analyzed in singlicate. DNA was extracted from 16 OCI cell lines and the 16 uncultured tumor tissue samples from which they were derived. DNA was also extracted from 9 standard ovarian cancer cell lines.
2015-06-16 | E-GEOD-40787 | biostudies-arrayexpress
Project description:Genomic diversity of human Clostridium innocuum
| PRJNA841489 | ENA
Project description:Stochastic changes in cytosine methylation are a source of heritable epigenetic and phenotypic diversity in plants. Using the model plant Arabidopsis thaliana, we derive robust estimates of the rate at which methylation is spontaneously gained (forward epimutation) or lost (backward epimutation) at individual cytosines and construct a comprehensive picture of the epimutation landscape in this species. We demonstrate that the dynamic interplay between forward and backward epimutations is modulated by genomic context and show that subtle contextual differences have profoundly shaped patterns of methylation diversity in A. thaliana natural populations over evolutionary timescales. Theoretical arguments indicate that the epimutation rates reported here are high enough to rapidly uncouple genetic from epigenetic variation, but low enough for new epialleles to sustain long-term selection responses. Our results provide new insights into methylome evolution and its population-level consequences. MethylC-seq of Arabidopsis thaliana
2015-05-13 | E-GEOD-64463 | biostudies-arrayexpress