Project description:BACKGROUND: Cell lines have been developed for modeling cancer and cancer progression. The molecular background of these cell lines is often unknown to those using them to model disease behaviors. As molecular alterations are the ultimate drivers of cell phenotypes, having an understanding of the molecular make-up of these systems is critical for understanding the disease biology modeled. METHODS: Six immortalized normal, one immortalized dysplasia, one self-immortalized dysplasia, and two primary normal cell lines derived from oral tissues were analyzed for DNA copy number changes and changes in both mRNA and miRNA expression using SMRT-v.2 genome-wide tiling comparative genomic hybridization arrays, Agilent Whole Genome 4x44k expression arrays, and Exiqon V2.M-RT-PCR microRNA Human panels. RESULTS: DNA copy number alterations were detected in both normal and dysplastic immortalized cell lines—as well as in the single non-immortalized dysplastic cell line. These lines were found to have changes in expression of genes related to cell cycle control as well as alterations in miRNAs that are deregulated in clinical oral squamous cell carcinoma tissues. Immortal lines—whether normal or dysplastic—had increased disruption in expression relative to primary lines. All data are available as a public resource. CONCLUSIONS: Molecular profiling experiments have identified DNA,mRNA,andmiRNAalterations for a panel of normal and dysplastic oral tissue cell lines. These data are a valuable resource to those modeling diseases of the oral mucosa, and give insight into the selection of model cell lines and the interpretation of data from those lines. Total RNA from oral cancer cell lines were hybridized to Agilent 4x44k gene expression microarray

2014-07-10 | E-GEOD-59238 | biostudies-arrayexpress

Proteomic alterations in oral cancer patients delineated by tobacco using habits

Project description:Molecular alterations induced by tobacco usage are not well characterized in oral squamous cell carcinoma. Tobacco consumption in chewing or smoking forms is a known risk factor in oral cancer. To understand proteomic changes due to tobacco usage in oral cancer patients we carried out comparative proteomic analysis in oral cancer patients who had history of tobacco using habits (patients who chewed tobacco and patients who smoked tobacco) and those with no history of tobacco consumption. Proteomic analysis resulted in the quantification of 5,848 proteins in smoker cohort, 5,216 in chewer, and 5,320 in non-user cohort. Among these 443, 72 and 139 were significantly dysregulated proteins (p-value≤ 0.05 and 2-fold change) in smoker, chewer and non-user cohorts, respectively. Gene ontology and pathway analysis of significantly dysregulated proteins revealed enrichment of distinct biological processes and pathways in each patient cohort. Proteins associated with collagen formation and antigen processing/presentation pathway were dysregulated in oral cancer patients who smoked tobacco, while keratinization process was enriched in patients who chewed tobacco. We also observed dysregulated proteins in non-users to be involved in ECM proteoglycans, metabolism of carbohydrates and glycosaminoglycans. Immune signaling pathways and muscle contraction were identified as common events dysregulated in all three cohorts. This study helps us to decipher the proteomic alterations induced by tobacco usage in oral cancer patients and will assist in identification of early detection markers to identify high risk population

2022-03-15 | PXD022808 | Pride

Reversion of Alzheimer’s disease signatures

Project description:Reversion of Alzheimer’s disease signatures

| PRJNA564801 | ENA

Alterations of oral microbiota and impact on the gut microbiome in type 1 diabetes mellitus revealed by multi-omic analysis

Project description:Background Alterations of the gut microbiome have been linked to multiple chronic diseases. However, the drivers of such changes remain largely unknown. The oral cavity acts as a major route of exposure to exogenous factors including pathogens, and processes therein may affect the communities in the subsequent compartments of the gastrointestinal tract. Here, we perform strain-resolved, integrated multi-omic analyses of saliva and stool samples collected from eight families with multiple cases of type 1 diabetes mellitus (T1DM). Results We identified distinct oral microbiota mostly reflecting competition between streptococcal species. More specifically, we found a decreased abundance of the commensal Streptococcus salivarius in the oral cavity of T1DM individuals, which is linked to its apparent competition with the pathobiont Streptococcus mutans. The decrease in S. salivarius in the oral cavity was also associated with its decrease in the gut as well as higher abundances in facultative anaerobes including Enterobacteria. In addition, we found evidence of gut inflammation in T1DM as reflected in the expression profiles of the Enterobacteria as well as in the human gut proteome. Finally, we were able to follow transmitted strain-variants from the oral cavity to the gut at the metagenomic, metatranscriptomic and metaproteomic levels, highlighting not only the transfer, but also the activity of the transmitted taxa along the gastrointestinal tract. Conclusions Alterations of the oral microbiome in the context of T1DM impact the microbial communities in the lower gut, in particular through the reduction of “oral-to-gut” transfer of Streptococcus salivarius. Our results indicate that the observed oral-cavity-driven gut microbiome changes may contribute towards the inflammatory processes involved in T1DM. Through the integration of multi-omic analyses, we resolve strain-variant “mouth-to-gut” transfer in a disease context.

2022-10-05 | PXD031579 | Pride

Analysis of Molecular Alterations in Oral Cell Lines

Project description:This SuperSeries is composed of the SubSeries listed below. BACKGROUND: Cell lines have been developed for modeling cancer and cancer progression. The molecular background of these cell lines is often unknown to those using them to model disease behaviors. As molecular alterations are the ultimate drivers of cell phenotypes, having an understanding of the molecular make-up of these systems is critical for understanding the disease biology modeled. METHODS: Six immortalized normal, one immortalized dysplasia, one self-immortalized dysplasia, and two primary normal cell lines derived from oral tissues were analyzed for DNA copy number changes and changes in both mRNA and miRNA expression using SMRT-v.2 genome-wide tiling comparative genomic hybridization arrays, Agilent Whole Genome 4x44k expression arrays, and Exiqon V2.M-RT-PCR microRNA Human panels. RESULTS: DNA copy number alterations were detected in both normal and dysplastic immortalized cell lines?as well as in the single non-immortalized dysplastic cell line. These lines were found to have changes in expression of genes related to cell cycle control as well as alterations in miRNAs that are deregulated in clinical oral squamous cell carcinoma tissues. Immortal lines?whether normal or dysplastic?had increased disruption in expression relative to primary lines. All data are available as a public resource. CONCLUSIONS: Molecular profiling experiments have identified DNA,mRNA,andmiRNAalterations for a panel of normal and dysplastic oral tissue cell lines. These data are a valuable resource to those modeling diseases of the oral mucosa, and give insight into the selection of model cell lines and the interpretation of data from those lines.

2014-07-15 | GSE59407 | GEO

Project description:Sex-related differences in Alzheimer’s disease

| PRJNA839023 | ENA