Project description:An Infinium microarray platform (GPL28271, HorvathMammalMethylChip40) was used to generate DNA methylation data from skin samples of beluga whales, Maui's dolphin, and humpback whale. Tissue: Skin
Project description:Interventions: Open label Phase 1b proof of concept study to test for dysbiosis in small cohort of people identified as at risk for developing colorectal cancer (CRC) based on the background of conventional adenomatous polyps, and the potential of a light infection with hookworm to improve microbial richness and diversity.
All participants will receive in total 20 hookworm larvae (L3) to be applied by the study nurse as two doses of 10x L3 to the skin approximately 4 weeks apart. The L3 will be applied to a non-adherent dressing which will be placed on the forearm of the participant. The dressing will need to remain in place for the remainder of the day, and disposed of at night.
Analyses of blood and rectal mucosal immune responses, mucosal and faecal microbiomes will be undertaken pre and 12 months post hookworm infection.
The fidelity of the hookworm intervention will be monitored by participant reported incidence of a rash at the inoculation site (the first week after inoculation) and laboratory tests for the typical immune response (eosinophilia) and the presence of parasite eggs in faecal samples taken at the post-inoculation clinic visits.
Primary outcome(s): A composite primary outcome including measurements of bacterial species richness (number of observed operational taxonomic units, OTUs) and bacterial species diversity (Shannon Index) in faecal and colon biopsy specimens, determined by shotgun metagenomic sequencing[Week 52 post hookworm inoculation]
Study Design: Purpose: Prevention; Allocation: Non-randomised trial; Masking: Open (masking not used);Assignment: Single group;Type of endpoint: Efficacy
Project description:Archived skin samples collected during common bottlenose dolphin health assessments in Barataria Bay, LA from 2016 to 2017 were analyzed by RNA-seq to support and enhance the assessment of animal health. The transcriptomic data were analyzed in conjunction with the substantial pool of health and environmental data collected during health assessments to investigate the utility of transcriptomic data in overall assessment of dolphin health and/or as markers of specific health concerns.
2021-05-04 | GSE138935 | GEO
Project description:Diversity of bacterial communities associated with two Drosophila species under experimental conditions on lead
Project description:Analysis of gingival crevicular fluid (GCF) samples may give information of the identity of unattached (planktonic) subgingival bacteria, the 35 forefront candidates for systemic dispersal via ulcerated periodontal pocket epithelium. Our study represents the first one targeting the identity of bacteria in gingival crevicular fluid. Methodology/Principal findings: We determined bacterial species diversity in GCF samples of a group of periodontitis patients and delineated contributing bacterial and host-associated factors. Subgingival paper point (PP) samples from the same sites were taken for comparison. After DNA extraction, 16S rRNA genes were PCR amplified and DNA-DNA hybridization was performed using a microarray for over 300 bacterial species or groups. Altogether 133 species from 41 genera and 8 phyla 45 were detected with 9 to 62 and 18 to 64 species in GCF and PP samples, respectively, 46 per patient. Projection to latent structures by means of partial least squares (PLS) was applied to the multivariate data analysis. PLS regression analysis showed that species of genera including Campylobacter, Selenomonas, Porphyromonas, Catonella, Tannerella, Dialister, Peptostreptococcus, Streptococcus and Eubacterium had significant positive correlations and the number of teeth with low-grade attachment loss a significant negative correlation to species diversity in GCF samples. OPLS/O2PLS discriminant analysis revealed significant positive correlations to GCF sample group membership for species of genera Campylobacter, Leptotrichia, Prevotella, Dialister, Tannerella, Haemophilus, Fusobacterium, Eubacterium, and Actinomyces. Conclusions/Significance: Among a variety of detected species those traditionally classified as Gram-negative anaerobes growing in mature subgingival biofilms were the main predictors for species diversity in GCF samples as well as responsible for distinguishing GCF samples from PP samples. GCF bacteria may provide new prospects for studying dynamic properties of subgingival biofilms. The microbial profiles of GCF and subgingival plaque were analyzed from 17 subjects with periodontal disease.