Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1074347 | ENA |
REPOSITORIES: ENA
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Project description:Cristiceps australis (Southern Crested Weedfish), fCriAus1, sequence data
| PRJNA1107550 | ENA
Project description:Cristiceps australis (Southern Crested Weedfish) genome, fCriAus1, haplotype 1
| PRJNA1090820 | ENA
Project description:Cristiceps australis (Southern Crested Weedfish) genome, fCriAus1, haplotype 2
| PRJNA1090821 | ENA
Project description:We recently reported that the in vitro and in vivo survival of Rickettsia australis are Atg5-dependent, in association with an inhibited level of anti-rickettsial cytokine, IL-1β. In the present study, we sought to investigate how R. australis interacts with host innate immunity via an Atg5-dependent autophagic response. We found that the serum levels of IFN-γ and G-CSF in R. australis-infected Atg5flox/floxLyz-Cre mice were significantly less compared to Atg5flox/flox mice, accompanied by significantly lower rickettsial loads in tissues with inflammatory cellular infiltrations including neutrophils. R. australis infection differentially regulated a significant number of genes in bone marrow-derived macrophages (BMMs) in an Atg5-depdent fashion as determined by RNA sequencing and Ingenuity Pathway Analysis, including genes in the molecular networks of IL-1 family cytokines and PI3K-Akt-mTOR. The secretion levels of inflammatory cytokines, such as IL-1α, IL-18, TNF-α, and IL-6, by R. australis-infected Atg5flox/floxLyz-Cre BMMs were significantly greater compared to infected Atg5flox/flox BMMs. Interestingly, R. australis significantly increased the levels of phosphorylated mTOR and P70S6K at a time when the autophagic response is induced. Rapamycin treatment nearly abolished the phosphorylated mTOR and P70S6K but did not promote significant autophagic flux during R. australis infection. These results highlight that R. australis modulates an Atg5-dependent autophagic response, which is not sensitive to regulation by mTORC1 signaling in macrophages. Overall, we demonstrate that R. australis counteracts host innate immunity including IL-1β-dependent inflammatory response to support the bacterial survival via an mTORC1-resistant autophagic response in macrophages.
2021-04-06 | GSE171160 | GEO
Project description:Sequence-based deep learning models have become the state of the art for the analysis of the genomic regulatory code. Particularly for transcriptional enhancers, deep learning models excel at deciphering sequence features and grammar that underlie their spatiotemporal activity. To enable end-to-end enhancer modeling and design, we developed a software and modeling package, called CREsted. It combines preprocessing starting from single-cell ATAC-seq data; modeling with a choice of several architectures for training classification and regression models on either topics or pseudobulk peak heights; sequence design using multiple strategies; and downstream analysis through a collection of tools to locate transcription factor (TF) binding sites, infer the effect of a TF (activating or repressing) on enhancer accessibility, decipher enhancer grammar, and score gene loci. We demonstrate CREsted using a mouse cortex model that we validate using the BICCN collection of in vivo validated mouse brain enhancers. Classical enhancers in immune cells, including the IFN-β enhanceosome are revisited using a PBMC model, and we assess the accuracy of TF binding site predictions with ChIP-seq. Additionally, we use CREsted to compare mesenchymal-like cancer cell states between tumor types; and we investigate different fine-tuning strategies of Borzoi within CREsted, comparing their performance and explainability with CREsted models trained from scratch. Finally, we train a CREsted model on a scATAC-seq atlas of zebrafish development, and use this to design and in vivo validate cell type-specific synthetic enhancers in 3 tissues. For varying datasets we demonstrate that CREsted facilitates efficient training and analyses, enabling scrutinization of the enhancer logic and design of synthetic enhancers across tissues and species. CREsted is available at https://crested.readthedocs.io.
2025-03-28 | GSE292617 | GEO
Project description:The genetic structure of the indigenous hunter-gatherer peoples of Southern Africa, the oldest known lineage of modern man, holds an important key to understanding humanity's early history. Previously sequenced human genomes have been limited to recently diverged populations. Here we present the first complete genome sequences of an indigenous hunter-gatherer from the Kalahari Desert and of a Bantu from Southern Africa, as well as protein-coding regions from an additional three hunter-gatherers from disparate regions of the Kalahari. We characterize the extent of whole-genome and exome diversity among the five men, reporting 1.3 million novel DNA differences genome-wide, and 13,146 novel amino-acid variants. These data allow genetic relationships among Southern African foragers and neighboring agriculturalists to be traced more accurately than was previously possible. Adding the described variants to current databases will facilitate inclusion of Southern Africans in medical research efforts.
2010-02-18 | GSE19048 | GEO
Project description:Comparative hybridization analysis Microarray-based genomic hybridization was used here as a high-throughput analog to traditional southern hybridization, which is the classical standard method for detecting specific DNA fragments in a genome.
2018-04-25 | GSE113644 | GEO
Project description:Here we present genome-wide high-coverage genotyping data on a panel of 75 human samples from Western Balkan region, Europe, that are used in addition to public data in studing the genetic variation of Southern Europe that was sequenced to the avwerage depth of 1X.
2014-08-22 | GSE59032 | GEO
Project description:Here we present genome-wide high-coverage genotyping data on a panel of 85 human samples from Eurasia that are used in addition to public data in studing the genomic context of a 24 kya old DNA sample from Southern Siberia that was sequenced to the avwerage depth of 1X.
2013-11-18 | GSE50727 | GEO