Project description:This set of microarray data was used to compare the effects of D. vulgaris grown syntrophically with a hydrogenotrophic methanogen versus D. vulgaris grown in sulfate-limited monoculture. Keywords: physiological response, one time point (stable continuous culture for both control and treated cells)
Project description:Objetives: study and characterization of the IL10-/- knocked out colitis model in mice at genomic level and the study of the influence of bacteria in the development of the disease. Keywords: Differentially expressed genes analysis
Project description:Dehalococcoides mccartyi are functionally important bacteria that catalyze the reductive dechlorination of chlorinated ethenes. However, these anaerobic bacteria are fastidious to isolate, making downstream genomic characterization challenging. In order to facilitate genomic analysis, a fluorescence-activated cell sorting (FACS) method was developed in this study to separate D. mccartyi cells from a microbial community, and the DNA of the isolated cells was processed by whole genome amplification (WGA) and hybridized onto a D. mccartyi microarray for comparative genomics against four sequenced strains. First, FACS was successfully applied to a D. mccartyi isolate as positive control, and then microarray results verified that WGA from 10(6) cells or ~1 ng of genomic DNA yielded high-quality coverage detecting nearly all genes across the genome. As expected, some inter- and intrasample variability in WGA was observed, but these biases were minimized by performing multiple parallel amplifications. Subsequent application of the FACS and WGA protocols to two enrichment cultures containing ~10% and ~1% D. mccartyi cells successfully enabled genomic analysis. As proof of concept, this study demonstrates that coupling FACS with WGA and microarrays is a promising tool to expedite genomic characterization of target strains in environmental communities where the relative concentrations are low.
Project description:Antibodies are immune glycoproteins that represent a crucial part of the adaptive immune system as they mediate broad protection against viruses, bacteria, and cancer. Moreover, antibodies may serve as a unique source of information on past and current physiological and pathological events in the human body. The dysregulation of the antibody-dependent response can lead to a variety of abnormalities and diseases. Antibodies are found in the secreted form in the blood (antibody phenotype) and membrane-bound on B cells as B-cell receptor (antibody genotype). Thus, investigating the relationship between genomic and phenotypic antibody diversity is of decisive importance for understanding antibody-driven immune protection and disease. In this project, we aim to establish a robust high-throughput framework for single-cell (SC) genomic and proteomic characterization of antibody repertoires using high-throughput genomic sequencing and mass spectrometry. The generated data will be analyzed using a variety of bioinformatics tools.
