Project description:Nitrate-reducing iron(II)-oxidizing bacteria are widespread in the environment contribute to nitrate removal and influence the fate of the greenhouse gases nitrous oxide and carbon dioxide. The autotrophic growth of nitrate-reducing iron(II)-oxidizing bacteria is rarely investigated and poorly understood. The most prominent model system for this type of studies is enrichment culture KS, which originates from a freshwater sediment in Bremen, Germany. To gain insights in the metabolism of nitrate reduction coupled to iron(II) oxidation under in the absence of organic carbon and oxygen limited conditions, we performed metagenomic, metatranscriptomic and metaproteomic analyses of culture KS. Raw sequencing data of 16S rRNA amplicon sequencing, shotgun metagenomics (short reads: Illumina; long reads: Oxford Nanopore Technologies), metagenome assembly, raw sequencing data of shotgun metatranscriptomes (2 conditions, triplicates) can be found at SRA in https://www.ncbi.nlm.nih.gov/bioproject/PRJNA682552. This dataset contains proteomics data for 2 conditions (heterotrophic and autotrophic growth conditions) in triplicates.
2021-05-17 | PXD023186 | Pride
Project description:Monkeypox virus sequences from French Reference Center
Project description:In this study, we have optimized and directly compared epigenetic age predictors based on pyrosequencing, ddPCR and BBA-seq of specific age-associated regions. Bisulfite barcoded amplicon sequencing (BBA-seq) was performed on 9 genomic region of 77 human blood DNA and 11 genomic regions of 95 buccal swab DNA to measure age-associated regions for epigenetic age prediction. Furthermore, our data indicate that the correlation of age-associated DNAm with chronological age peaks close to CTCF binding sites. Age-associated DNAm is not coherently modified on individual DNA strands and this enabled alternative single-read age-predictors that reflect heterogeneity in epigenetic aging within a specimen.
Project description:Orthopoxviruses are large DNA viruses which can cause disease in numerous host species. Even though the eradication of variola virus - the causative agent of human smallpox M-bM-^@M-^S succeeded, with the end of vaccinations several other orthopoxviruses emerged as potential threat to human health. For instance, animal-borne monkeypox virus, cowpox virus and closely related vaccinia virus are all capable of establishing zoonotic infections in humans. The disease caused by each virus differs in terms of expression and severity, but we still know little about the reasons for these different phenotypes. They may be explained by the unique repertoire of host cell modulating factors encoded by each virus. In this study, we aimed at characterizing the specific modulation of the host cells gene expression profile by orthopoxvirus infection. In our study we analyzed changes in host cell gene expression of HeLa cells after infection with cowpox virus, monkeypox virus or vaccinia virus and compared these to each other and to the gene expression profile of non-infected cells using Agilent Whole Genome Microarray technology. We could identify major differences in viral modulation of host cell immune response genes, especially an induction of genes involved in leukocyte migration and Toll-like receptor signalling in cowpox and monkeypox virus infected cells. This was not observed following vaccinia virus infection. If these differences contribute to the different clinical manifestation of cowpox, monkeypox and vaccinia virus infections in certain host species remains to be elucidated. We analyzed the gene expression profile of HeLa cells wich were either mock-infected or infected with Vaccinia virus strain IHD-W, Cowpox virus strain Brighton Red or Monkeypox virus strain MSF#6 at a multiplicity of infection of 5. Experiments were performed in duplicate. At 6 h post infection total RNA was isolated from infected cells and used for microarray analysis.
Project description:State-of-the-art algorithms for m6A detection and quantification via nanopore direct RNA sequencing have been continuously developed, little is known about their capacities and limitations, which makes a comprehensive assessment in urgent need. Therefore, we performed comprehensive benchmarking of 10 computational tools relying on current-based and base-calling “errors” strategies for m6A detection by nanopore sequencing.