Genome wide DNA methylation analysis of arsenic exposure and non-exposure population and patients with skin lesions
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA432338 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Genome wide DNA methylation profiling of arsenic exposure and non-exposure population and patients with skin leisons. The Illumina Infinium HumanMethylation450 BeadChip (HM450K) was used to obtain DNA methylation profiles across approximately 450,000 CpGs in genomic DNA extracted from blood buffy coat samples. Samples included 66 arsenic exposure individuals, 35 non-exposure individuals and 18 arsenical skin lesion patients.
2018-07-10 | GSE109914 | GEO
Project description:Chronic exposure to arsenic is associated with dermatological and non-dermatological disorders. Consumption of arsenic contaminated drinking water results in accumulation of arsenic in liver, spleen, kidneys, lungs and gastrointestinal tract. Although, arsenic is cleared from these sites, a substantial amount of residual arsenic is left in keratin-rich tissues such as skin. Epidemiological studies on arsenic suggest the association of skin cancer upon arsenic exposure, however, the exact mechanism of arsenic induced carcinogenesis is not completely understood. We have developed a cell line-based model to understand the molecular mechanisms involved in arsenic mediated toxicity and carcinogenicity. Human skin keratinocyte cell line, HaCaT was exposed to 100nM sodium arsenite for six months. We observed an increase in the basal ROS levels in arsenic exposed cells along with the increase in anti-apoptotic proteins. SILAC-based quantitative proteomics approach resulted in the identification and quantitation of 2,181 proteins of which 39 proteins were found to be overexpressed (≥2-fold) and 56 downregulated (≤2-fold) upon chronic arsenic exposure. Our study provides comprehensive insights into the molecular basis of chronic arsenic exposure on skin.
2017-01-02 | PXD001645 | Pride
Project description:Modulation of signaling pathways upon chronic arsenic exposure remains poorly studied. Here we carried out SILAC-based quantitative phosphoproteomics analysis to dissect the signaling induced upon chronic arsenic exposure in human skin keratinocyte cell line, HaCaT. We identified 4,171 unique phosphosites derived from 2,000 proteins. We observed differential phosphorylation of 406 phosphosites (2-fold) corresponding to 305 proteins. Several pathways involved in cytoskeleton maintenance and organization were found to be significantly enriched (p<0.05). Our data revealed altered phosphorylation of proteins associated with adherens junction remodeling and actin polymerization. Kinases such as protein kinase C iota type (PRKCI), mitogen-activated protein kinase kinase kinase 1 (MAP3K1), tyrosine-protein kinase BAZ1B (BAZ1B) and STE20 like kinase (SLK) were found to be hyperphosphorylated. Our study provides novel insights into signaling perturbations associated with chronic arsenic exposure in human skin keratinocytes.
2017-08-11 | PXD004868 | Pride
Project description:Total RNA was purified from keratinocytes isolated from FFPE arsenic-induced skin lesion samples collected from individuals exposed to high concentrations of arsenic exceeding 50 ppb in drinking water in Murshidibad district of West Bengal, India.
2018-06-01 | GSE102892 | GEO
Project description:To identified the differential expressed genes between the arsenic exposure cells and wild type cells As is a well- known carcinogen, it receives special attention. Due to its ubiquitous distribution in the environment, a unicellular model system related to the environment will be useful in toxicological research of arsenic. The eukaryotic protist Tetrahymena thermophila is a well-established model in classical toxicology and now a potential model at genomic level. In the present study, Tetrahymena thermophila was inbred with arsenate. With the use of microarray technique, the genes differentially expressed at 4 time points in exposure to arsenate were screened out. The major biological processes involved and their changes over time were identified with enrichment analysis and transformed expression data. Characteristics of arsenic toxicity and response to arsenic were identified, proving T. thermophila a good unicellular model for arsenic toxicological research at genomic level.
2019-12-01 | GSE53836 | GEO
Project description:We used microarrays to explore the global affect on gene expression in C. elegans after exposure to arsenic
2012-06-29 | GSE39012 | GEO
Project description: Not available
| S-EPMC2465558 | biostudies-literature
Project description:This study used non-invasive sampling by tape-stripping coupled with data-independent acquisition mass spectrometry (DIA-MS) proteomics to profile the proteome of 61 histopathologically diagnosed Keratinocytic skin lesions (KSLs), including pre-malignant actinic keratosis (AK) and Bowen's disease (BD), and invasive cutaneous squamous cell carcinoma (cSCC)as well as matched normal stratum corneum samples collected from 26 patients.
2024-05-01 | PXD041905 | JPOST Repository
Project description:The Biomarkers of Exposure to ARsenic (BEAR) pregnancy cohort in Gómez Palacio, Mexico was recently established to better understand the impacts of prenatal exposure to inorganic arsenic (iAs). In this study, we examined a subset (n = 40) of newborn cord blood samples for microRNA (miRNA) expression changes associated with in utero arsenic exposure. Levels of iAs in maternal drinking water (DW-iAs) and maternal urine were assessed. Levels of DW-iAs ranged from below detectable values to 236 µg/L (mean = 51.7 µg/L). Total arsenic in maternal urine (U-tAs) was defined as the sum of iAs and its monomethylated and dimethylated metabolites (MMAs and DMAs, respectively) and ranged from 6.2 to 319.7 µg/L (mean = 64.5 µg/L). Genome-wide miRNA expression analysis of cord blood revealed 12 miRNAs with increasing expression associated with U-tAs. Transcriptional targets of the miRNAs were computationally predicted and subsequently assessed using transcriptional profiling. Pathway analysis demonstrated that the U-tAs-associated miRNAs are involved in signaling pathways related to known health outcomes of iAs exposure including cancer and diabetes mellitus. Immune response-related mRNAs were also identified with decreased expression levels associated with U-tAs, and predicted to be mediated in part by the arsenic-responsive miRNAs. Results of this study highlight miRNAs as novel responders to prenatal arsenic exposure that may contribute to associated immune response perturbations.
2014-01-22 | GSE48354 | GEO
Project description:The Biomarkers of Exposure to ARsenic (BEAR) pregnancy cohort in Gómez Palacio, Mexico was recently established to better understand the impacts of prenatal exposure to inorganic arsenic (iAs). In this study, we examined a subset (n = 40) of newborn cord blood samples for microRNA (miRNA) expression changes associated with in utero arsenic exposure. Levels of iAs in maternal drinking water (DW-iAs) and maternal urine were assessed. Levels of DW-iAs ranged from below detectable values to 236 µg/L (mean = 51.7 µg/L). Total arsenic in maternal urine (U-tAs) was defined as the sum of iAs and its monomethylated and dimethylated metabolites (MMAs and DMAs, respectively) and ranged from 6.2 to 319.7 µg/L (mean = 64.5 µg/L). Genome-wide miRNA expression analysis of cord blood revealed 12 miRNAs with increasing expression associated with U-tAs. Transcriptional targets of the miRNAs were computationally predicted and subsequently assessed using transcriptional profiling. Pathway analysis demonstrated that the U-tAs-associated miRNAs are involved in signaling pathways related to known health outcomes of iAs exposure including cancer and diabetes mellitus. Immune response-related mRNAs were also identified with decreased expression levels associated with U-tAs, and predicted to be mediated in part by the arsenic-responsive miRNAs. Results of this study highlight miRNAs as novel responders to prenatal arsenic exposure that may contribute to associated immune response perturbations.
2014-01-22 | GSE48353 | GEO