Project description:We examined the microRNA profiles of THP-1 macrophages upon the MTB infection of (1) Beijing/W and non-Beijing/W clinical strains, and (2) susceptible and multidrug-resistant (MDR-) MTB strains.
Project description:The Global Pandemic Lineage (GPL) of the amphibian pathogen Batrachochytrium dendrobatidis (Bd) has been described as a main driver of amphibian extinctions on nearly every continent. Near complete genome of three Bd-GPL strains have enabled studies of the pathogen but the genomic features that set Bd-GPL apart from other Bd lineages is not well understood due to a lack of high-quality genome assemblies and annotations from other lineages. We used long-read DNA sequencing to assemble high-quality genomes of three Bd-BRAZIL isolates and one non-pathogen outgroup species Polyrhizophydium stewartii (Ps) strain JEL0888, and compared these to genomes of previously sequenced Bd-GPL strains. The Bd-BRAZIL assemblies range in size between 22.0 and 26.1 Mb and encode 8495-8620 protein-coding genes for each strain. Our pan-genome analysis provided insight into shared and lineage-specific gene content. The core genome of Bd consists of 6278 conserved gene families, with 202 Bd-BRAZIL and 172 Bd-GPL specific gene families. We discovered gene copy number variation in pathogenicity gene families between Bd-BRAZIL and Bd-GPL strains though none were consistently expanded in Bd-GPL or Bd-BRAZIL strains. Comparison within the Batrachochytrium genus and two closely related non-pathogenic saprophytic chytrids identified variation in sequence and protein domain counts. We further test these new Bd-BRAZIL genomes to assess their utility as reference genomes for transcriptome alignment and analysis. Our analysis examines the genomic variation between strains in Bd-BRAZIL and Bd-GPL and offers insights into the application of these genomes as reference genomes for future studies.
Project description:Tuberculosis (TB) is one of the deadliest infectious disorders in the world. To effectively TB manage, an essential step is to gain insight into the lineage of Mycobacterium tuberculosis (MTB) strains and the distribution of drug resistance. Although the Campania region is declared a cluster area for the infection, to contribute to the effort to understand TB evolution and transmission, still poorly known, we have generated a dataset of 159 genomes of MTB strains, from Campania region collected during 2018-2021, obtained from the analysis of whole genome sequence data. The results show that the most frequent MTB lineage is the 4 according for 129 strains (81.11%). Regarding drug resistance, 139 strains (87.4%) were classified as multi susceptible, while the remaining 20 (12.58%) showed drug resistance. Among the drug-resistance strains, 8 were isoniazid-resistant MTB (HR-MTB), 7 were resistant only to one antibiotic (3 were resistant only to ethambutol and 3 isolate to streptomycin while one isolate showed resistance to fluoroquinolones), 4 multidrug-resistant MTB, while only one was classified as pre-extensively drug-resistant MTB (pre-XDR). This dataset expands the existing available knowledge on drug resistance and evolution of MTB, contributing to further TB-related genomics studies to improve the management of TB infection.
Project description:We repoted the Glioblastoma stem cells(GSCs) infected by two strains of ZIKA virus, the Brazil and Dakar strains. The ZIKV was added into the medium of GSCs for 48 hours, the RNA was harvested after ZIKV infection. We found that the GSCs up-regulated the Type 1&2 interferons after infected by ZIKV
Project description:We examined the microRNA profiles of THP-1 macrophages upon the MTB infection of (1) Beijing/W and non-Beijing/W clinical strains, and (2) susceptible and multidrug-resistant (MDR-) MTB strains. THP-1 cells were induced differentiation into a macrophage phenotype. Then cells were infected with three MDR (INHR, RIFR) Beijing/W, three sensitive (INHS, RIFS) Beijing/W, three MDR(INHR, RIFR) non-Beijing/W, and three sensitive (INHS, RIFS) non-Beijing/W strains. Total RNA were extracted and transfered into cDNA for miRNA profile analysis. Non-infected cells were used as control.