Project description:We performed an untargeted metabolomic analysis on surficial human skin samples collected with moistened cotton swabs (water: ethanol, 50:50) using LC-HR-MS/MS. Data-dependent Acquisition was employed under positive ionization mode. Two cohorts were included, subjects exposed and non-exposed to petroleum-based chemicals.
Project description:Coral Stylophora pistillata was exposed to octocrylene at 300 and 1000 microg/L in sea water. Blank analyses are present, along with extract profiles of control and exposed corals.
Project description:Analyzing the US Center for Disease Control’s National Health and Nutrition Examination Survey chemical biomarker data, we identified a suite of toxicants, including metals, pesticides, and personal care product compounds, to which non-Hispanic Black women are disproportionately exposed. To characterize the impact of these toxicants on breast cancer pathways, we performed high throughput transcriptomic analysis of toxicant exposed breast cells.
Project description:To assess the impact of surface water across the Hun River, several sampling sites located in the mainstream and the tributary were selected representative of pollution gradient and different pollution source. Male adult zebrafish were exposed to surface water from seven sites for 4 days. The obiectives of the study was to evaluate the ability of transcriptomic profiles exposed to surface water to determine the potential biological effects, to differentiate different pollution source, and to identify the toxic components.
Project description:To assess the impact of surface water across the Hun River, several sampling sites located in the mainstream and the tributary were selected representative of pollution gradient and different pollution source. Male adult zebrafish were exposed to surface water from seven sites for 4 days. The obiectives of the study was to evaluate the ability of transcriptomic profiles exposed to surface water to determine the potential biological effects, to differentiate different pollution source, and to identify the toxic components.
Project description:Ground water Arsenic toxicity is the global problem and millions of people are exposed to elevated levels through drinking water than WHO permiscible limit of 10µg/L. The exposure is associated with various cancerous and non-cancerous diseases. It may alter the gene expression profile of invidual and suppress the activity of various genes giving rise to different diseases. Pakistan, a developing country in South Asian region, also have different areas reported to have elevated Ground water As. levels since 2005. The Present Study aimed to investigate Transcriptome profile of the exposed subjects in two districts of Punjab Province Pakistan. i.e Lahore and Kasur. The population was stratified into three exposure groups comprising Low, Medium and High exposure based on their urinary arsenic levels. We used Agilent Microarrays platform for Transcriptomics analysis and Linear mixed model was used to find differential gene expression associated with Arsenic exposure
Project description:We performed an untargeted metabolomic analysis on surficial human skin samples collected with moistened cotton swabs (water:ethanol, 50:50) using LC-HR-MS/MS. Data-dependent acquisition was employed under positive ion mode. One cohort (five subjects) was recruited and white petrolatum was applied in the dominant hand (dorsal side) of the subjects for 7 days, while the other hand was not treated (non-exposed hand).
Project description:A genome-wide eQTL analysis was performed in whole blood samples collected from 76 Japanese subjects. RNA microarray analysis was performed for 3 independent samples that were genotyped in a genome-wide scan. The correlations between the genotypes of 534,404 autosomal single nucleotide polymorphisms (SNPs) and the expression levels of 30,465 probes were examined for each sample. The SNP-probe pairs with combined correlation coefficients of all 3 samples corresponding to P < 3.10 × 10-12 (i.e., Bonferroni-corrected P < 0.05) were considered significant. SNP-probe pairs with a high likelihood of cross-hybridization and SNP-in-probe effects were excluded to exclude false positive results. We identified 102 cis-acting and 5 trans-acting eQTL regions. The cis-eQTL regions were widely distributed both upstream and downstream of the gene, as well as within the gene. RNA microarray data obtained from 3 independent samples originally recruited for other studies investigating the gene expression levels in psychiatric disorders were used in the present study. For the purpose of the present analyses, genomic DNA was collected from 24 subjects (13 men and 11 women, mean age [SD] = 39.9 [7.6] years) in sample 1, 24 subjects in sample 2 (12 men and 12 women, 34.1 [11.5] years), and 28 subjects (14 men and 14 women, 41.4 [11.8] years) in sample 3. Some of the subjects had depressive symptoms, but all were physically healthy and without clinically significant systemic disease (e.g., malignant disease, diabetes mellitus, hypertension, renal failure, or endocrine disorders). Subjects were recruited from the outpatient clinic of the National Center of Neurology and Psychiatry Hospital, Tokyo, Japan, through advertisements in free local information magazines or through our website announcement. All the subjects were biologically unrelated Japanese individuals who resided in the same geographical area (western Tokyo). The study protocol was approved by the ethics committee at the National Center of Neurology and Psychiatry, Japan. Written informed consent was obtained from every subject after the study was explained to them. Venous blood was collected between 1100 and 1200 h in PAXgene tubes (Qiagen, Valencia) from each subject and was incubated at room temperature for 24 h for RNA stabilization. RNA was extracted from whole blood according to the manufacturer’s guidelines by using the PAXgene Blood RNA System Kit (PreAnalytix GmbH, Hombrechtikon, Switzerland). The RNA was quantified by optical density readings at A260nm by using the NanoDrop ND-1000 (Thermo Scientific, Rockford). Gene expression analysis was performed using Agilent Human Genome 4 × 44 K arrays (Agilent Technologies, Santa Clara). Raw signal data for each of the 3 independent samples were analyzed separately by the GeneSpring GX software (Agilent Technologies). Data were filtered according to the expression level for quality control to eliminate genes that were below the 20th percentile threshold. The expression value of each gene was normalized to the median expression value of all genes in each chip. A total of 30,465 probes were included in the analysis. Genomic DNA was obtained from venous blood samples. Genotyping was performed by Riken Genesis (Yokohama, Japan) using the Illumina HumanOmni1-Quad BeadChip (Illumina, Inc., San Diego). A total of 713,495 autosomal SNPs were assessed for quality using the PLINK v1.07 software. All SNPs with a call rate below 95%, a deviation from Hardy-Weinberg equilibrium at an error level of P < 0.001, or a minor allele frequency of less than 10% were excluded. The remaining 534,404 SNPs were used for further analysis.
Project description:Mussels (Mytilus galloprovincialis) were exposed during 24 hours to a waterborne infection with 10E8 CFU/ml Vibrio splendidus (reference strain LGP32) in the tank water. Five biological replicates were used for each infected and control conditions.