Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Evidence of an Increased Pathogenic Footprint in the Lingual Microbiome of Untreated HIV Infected Patients

ABSTRACT: Opportunistic oral infections are ultimately presented in a vast majority of HIV-infected patients, often causing debilitating lesions that also contribute to deterioration in nutritional health. Although appreciation for the role that the microbiota is likely to play in the initiation and/or enhancement of oral infections has grown considerably in recent years, little is known about the impact of HIV infection on host-microbe interactions within the oral cavity. In the current study, we characterize modulations in the bacterial composition of the lingual microbiome in patients with treated and untreated HIV infection. Bacterial species profiles were elucidated by microarray assay and compared between untreated HIV infected patients, HIV infected patients receiving antiretroviral therapy, and healthy HIV negative controls. The relationship between clinical parameters (viral burden and CD4+ T cell depletion) and the loss or gain of bacterial species was evaluated in each HIV patient group. Characterization of modulations in the dorsal tongue (lingual) microbiota that are associated with chronic HIV infection.

ORGANISM(S): Homo sapiens

SUBMITTER: Bruce Paster

PROVIDER: E-GEOD-38908 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Shared Molecules

Only show the datasets with similarity scores above: 0.5

Threshold

0.5

Similar Datasets

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.

Project description:RNA transcripts are distributed non-uniformly in the oocytes of many animals, such that newly-divided embryo cells (blastomeres) inherit distinct transcriptomes following fertilization. In animals such as the frog, Xenopus laevis, programmed transcript regionalization directs early embryonic axis formation and is essential for normal development. However, it is unknown whether such transcriptome asymmetry directs embryogenesis in mammals, or indeed, whether it occurs at all. We here address this by transcript profiling of matching sub-cellular structures and single cells in mouse oocytes and early embryos and analytical strategies exploiting the paired data structure. Spindle samples contained a set of transcripts that was distinguishable from that of the unfertilized metaphase II (mII) oocytes from which each spindle was microsurgically dissected. Immediately following fertilization, cytokinesis produces a 1-cell embryo (zygote) and associated spindle-enriched second polar body (Pb2) whose transcript profiles also differed one from the other, partially reflecting the enrichment of spindle-associated transcripts. Non-uniform transcript distribution within zygotes did not lead to programmed transcriptome asymmetry between the blastomeres of nascent two-cell embryos, or between the second mitotic products of 3-cell embryos. These findings suggest that mammalian oocytes and zygotes exhibit transcript regionalization without subsequent transcriptome asymmetries between respective early mitotic products. This contrasts the situation in Xenopus and places constraints on the ability of maternal transcriptomic prepatterning to prescribe early mammalian development. 16 Zygote vs. Polar body pairs, 10 spindle vs. oocyte pairs, 22 2-cell embryos and 8 3-cell embryos were analysed. Although the raw data are two channel, only the Cy5 signal of each file was analyzed. The Cy5 channel for each gene is normalized to the average Cy5 intensity of the gene across all samples.