DNA methylation patterns associated with arsenicosis
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE26073 | GEO | 2010/12/16
SECONDARY ACCESSION(S): PRJNA135201
REPOSITORIES: GEO
Similar Datasets
Project description:DNA methylation patterns were analyzed in blood samples from humans unexposed or exposed to arsenic Using a state-of-the-art technique to map the methylomes of our study subjects, we identified a large interactome of hypermethylated genes that are enriched for their involvement in arsenic-associated diseases, such as cancer, heart disease, and diabetes. Notably, we have uncovered an arsenic-induced “suppressorome” - a complex of 17 known and putative tumor suppressors silenced in human cancers. This finding represents a pivotal clue in unravelling a possible epigenetic mode of arsenic induced disease. DNA was extracted from 16 blood samples, 8 of which were from individuals showing signs of arsenicosis and 8 from individuals not showing signs of arsenicosis. CpG-methylated DNA was pulled down using a methyl binding domain protein. DNA samples were hybridized to Affymetrix Human Promoter 1.0R arrays, and chips were scanned using an Affymetrix scanner.
2010-12-16 | E-GEOD-26073 | biostudies-arrayexpress
Project description:We are investigating the transcriptional response of newborns in response to prenatal arsenic exposure; We used microarrays to detail the global programme of gene expression response due to prenatal arsenic exposure Experiment Overall Design: cord blood was collected at birth from infants whose mothers were exposed or unexposed to arsenic
2008-06-16 | E-GEOD-7967 | biostudies-arrayexpress
Project description:Adult male mice (F0) were exposed to 250 ppb inorganic arsenic (iAs) in drinking water before mating with unexposed female mice to generate male F1 offspring (iAsF1-M). Unexposed male mice were bred simultaneously to generate male controls (conF1-M). Both iAsF1-M and conF1-M mice drank normal water without iAs. Adult iAsF1-M and conF1-M mice were harvested to collect liver samples to do RNA-seq.
2023-09-13 | GSE205355 | GEO
Project description:Pregnant C3H mice were given tap water (control group) and tap water containing 85 ppm sodium arsenite from gestational day 8 to 18 (arsenic group), respectively. The DNA methylomes of sperm of F1 mice were investigated by RRBS method. The results showed that gestational arsenic exposure increased hypomethylated cytosines in active retrotransposon subfamilies. The present study has indicated environmental impacts on sperm DNA methylome establishment.
2020-12-08 | GSE150650 | GEO
Project description:Pregnant C3H mice were given tap water (control group) and tap water containing 85 ppm sodium arsenite from gestational day 8 to 18 (arsenic group), respectively. The DNA methylomes of sperm of F1 mice were investigated by RRBS method. The results showed that gestational arsenic exposure increased hypomethylated cytosines in the F1 sperm genome. The present study has indicated environmental impacts on sperm DNA methylome establishment.
2020-12-08 | GSE150500 | GEO
Project description:Developmental exposures play a role in adult onset chronic disease. The mechanisms by which environmental toxicants alter developmental processes predisposing individuals to chronic disease are not understood. arsenic exposure via drinking water causes cancer and cardiovascular disease. Transplacental arsenic exposure accelerates and exacerbates atherosclerosis in ApoE-knockout mice. The liver plays a central role in the interlinked diseases diabetes, metabolic syndrome and atherosclerosis. The hypothesis that accelerated atherosclerosis is a consequence of altered hepatic development was investigated by microarray profiling of mRNA and microRNA abundance in livers isolated from 10 week old (PND70) and newborn (PND1) mice exposed or not exposed to arsenic from day 8 post-fertilization to birth. The results show that arsenic exposure alters the trajectory of both mRNA and microRNA expression as mice age. A 51-gene signature of arsenic exposure in both PND1 and PND70 mice was identified. Pathway Architect analysis of this signature identified nodes of interaction including Hspa8, IgM and Hnf4a. Gene ontology analysis of arsenic exposure-altered mRNAs indicated that pathways for gluconeogenesis and glycolysis were suppressed in PND1 mice and pathways for protein export, ribosome, antigen processing and presentation, and complement and coagulation cascades were induced in PND70 mice. Analysis of promoters of differentially expressed genes identified enriched transcription factor binding sites and cluster analyses revealed groups of genes sharing sets of transcription factor binding sites suggesting common regulation. Srebp1 binding sites are present in ~1/6 of the genes differentially expressed in PND70 livers. Western blot analyses of PND70 liver proteins showed that the inducible form of heat shock protein 70 (Hspa1, Hsp70) and the active form of Srebp1 were induced in arsenic-exposed mice as were plasma AST and ALT levels. These results suggest that transplacental ar Samples from three frozen livers from each group (newborn exposed and unexposed, 10 week old exposed and unexposed), and from separate litters, were homogenized and total RNA purified using mirVANA RNA pufification kits (Ambion, Carlsbad, CA). RNA was quantitated and intergrity determined on a Nanochip using a Bioanalyzer (Agilent, Santa Clara, CA). Microarray analyses for miRNAs abundance in total liver RNAs was performed by Exiqon (Woburn, MA) using two-color design against mouse standard total RNA (Ambion, now part of Applied Biosystems) and Exiqon LNA 1500 microarrays. Microarray analyses for mRNA abundance was performed using 2 color design against mouse standard total RNA (Stratgene, LaJolla, CA) and 44k arrays produced at the NIA . The processed data on Exiqon LNA-1500 are attached as a Series supplementary file. The data are based on the same samples as described in Agilent data submitted here. The supplementary data includes only the murine miRNA data on the array because these are the only data supplied by Exiqon. The relationship between GEO's sample names here (Agilent data) and column heads of spreadsheets (Exiqon data) are described in the first sheet of supplemental file: Project_Summary_Report_Heather_Miller_01042009_MTE.xls
2012-06-21 | E-GEOD-30783 | biostudies-arrayexpress
Project description:Aberrant DNA methylation (DNAm) was first linked to cancer over 25 years ago. Since then, many studies have associated hypermethylation of tumour suppressor genes and hypomethylation of oncogenes to the tumourigenic process. However, most of these studies have been limited to the analysis of promoters and CpG islands (CGIs). Recently, new technologies for whole-genome DNAm (methylome) analysis have been developed, enabling unbiased analysis of cancer methylomes. Using MeDIP-seq, we report a sequencing-based comparative methylome analysis of malignant peripheral nerve sheath tumours (MPNST), benign Neurofibromas and normal Schwann cells. Analysis of these methylomes revealed a complex landscape of DNAm alterations. Contrary to the current dogma, significant global hypomethylation was not observed in the MPNST methylome. However, a highly significant (P<10-100) directional difference in DNAm was found in satellite repeats, suggesting these repeats to be the main target for hypomethylation in MPNST. Comparative analysis of the MPNST and Schwann cell methylomes identified 101,466 cancer-associated differentially methylated regions (cDMRs). Analysis showed these cDMRs to be significantly enriched for two satellite repeat types (SATR1 and ARLM-NM-1) and suggests an association between aberrant DNAm of these sequences and transition from healthy cells to malignant disease. Significant enrichment of hypermethylated cDMRs in CGI shores (P<10-60), non-CGI-associated promoters (P<10-4) and hypomethylated cDMRs in SINE repeats (P<10-100) was also identified. Integration of DNAm and gene expression data showed that the expression pattern of genes associated with CGI shore cDMRs was able to discriminate between disease phenotypes. This study establishes MeDIP-seq as an effective method to analyse cancer methylomes. Examination of methylation profiles in malignant, benign and normal tissue
2011-01-01 | E-GEOD-21714 | biostudies-arrayexpress
Project description:Talemi2014 - Arsenic toxicity and
detoxification mechanisms in yeast
The model implements arsenite (AsIII)
transport regulation, its distribution within main cellular AsIII
pools and detoxification. The intracellular As pools considered are
free AsIII (AsIIIin), protein-bound AsIII (AsIIIprot), glutathione
conjugated AsIII (AsGS3) and vacuolar sequestered AsIII (vAsGS3).
This model is described in the article:
Mathematical modelling of
arsenic transport, distribution and detoxification processes in
yeast.
Talemi SR, Jacobson T, Garla V,
Navarrete C, Wagner A, Tamás MJ, Schaber J.
Mol. Microbiol. 2014 Jun; 92(6):
1343-1356
Abstract:
Arsenic has a dual role as causative and curative agent of
human disease. Therefore, there is considerable interest in
elucidating arsenic toxicity and detoxification mechanisms. By
an ensemble modelling approach, we identified a best
parsimonious mathematical model which recapitulates and
predicts intracellular arsenic dynamics for different
conditions and mutants, thereby providing novel insights into
arsenic toxicity and detoxification mechanisms in yeast, which
could partly be confirmed experimentally by dedicated
experiments. Specifically, our analyses suggest that: (i)
arsenic is mainly protein-bound during short-term (acute)
exposure, whereas glutathione-conjugated arsenic dominates
during long-term (chronic) exposure, (ii) arsenic is not stably
retained, but can leave the vacuole via an export mechanism,
and (iii) Fps1 is controlled by Hog1-dependent and
Hog1-independent mechanisms during arsenite stress. Our results
challenge glutathione depletion as a key mechanism for arsenic
toxicity and instead suggest that (iv) increased glutathione
biosynthesis protects the proteome against the damaging effects
of arsenic and that (v) widespread protein inactivation
contributes to the toxicity of this metalloid. Our work in
yeast may prove useful to elucidate similar mechanisms in
higher eukaryotes and have implications for the use of arsenic
in medical therapy.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000547.
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To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
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2024-09-02 | BIOMD0000000547 | BioModels
Project description:The purpose of this study is to search for aberrant genes in HaCaT keratinocytes after chronic exposure to arsenic trioxide. The objective of the investigation was to discover the mechanism of arsenic carcinogenicity in human epidermal keratinocytes. We hypothesize that a combined strategy of DNA microarray, qRT-PCR and gene function annotation will identify aberrantly expressed genes in HaCaT keratinocyte cell line after chronic treatment with arsenic trioxide. HaCaT cells were chronically exposed to 0.5M-BM-5g/mL arsenic trioxide (As2O3) up to 22 passages and RNA was extracted. Microarray data analysis identified 14 up-regulated genes and 21 down-regulated genes in response to arsenic trioxide Two experimental groups: 1. The treatment group was sub-cultured up to passage 22 to establish a chronic exposure state. 2. The passage control group was also sub-cultured up to 22 passages but with no exposure to arsenic trioxide. 4 technical replicates with 3 replicates making a total of 8X3 =24 samples HaCat Cell untreated (passage control): 1. H1_H001, H1_H002, H1_H003 2. H2_ H004, H2_H005, H2_H006 3. H3_ H007, H3_H008, H3_H009 4. H4_ H010, H4_H011, H4_H012 HaCat Cell treated with 0.5M-BM-5g/ml of arsenic trioxide: 5. A1_H013, A1_H014, A1_H015 6. A2_H016, A2_H017, A2_H018 7. A3_H019, A3_H020, A3_H021 8. A4_H022, A4_H023, A4_H024 Cell Type: Human Skin Keratinocyte: 1.5 M-CM-^W105 HaCaT cells were cultured in 7.5 ml of complete DMEM containing 10% Fetal Bovine Serum (FBS) and 1% penicillin, streptomycin in T-25 culture plate. Cells were incubated in a humidified atmosphere with 5% CO2 at 37 M-BM-:C. The treatment groups were exposed to 0.5M-BM-5g/mL As2O3 (equivalent to LC 0.5), and passaged at 90% confluent. Total RNA was extracted from 4 technical replicates of unexposed HaCaT cells and HaCaT cells chronically exposed to arsenic trioxide up to passage 22 using RNA STAT-60 (TEL-TEST, INC, Friendswood, TX, USA).
2012-04-11 | E-GEOD-37192 | biostudies-arrayexpress
Project description:We used MethylCap-seq and RRBS to profile methylomes of purified human ovarian granulosa cells. Genomic DNA methylation patterns in ovarian granulosa cells were compared between two groups of women: i) oocyte donors (n=20) who were young (age 26 ± 2.2 years) and had robust response to ovarian stimulation during assisted reproductive technology (ART) (mean number of oocytes retrieved = 25); versus ii) poor responders (n=20) who were older (age 40 ± 2.3 years) and responded poorly to ovarian stimulation during ART (oocytes retrieved ≤4 and peak estradiol level ≤ 1000 pg/ml). The first group served as healthy control. The second group represented the majority of women in their early 40s who have the natural age-related decline of ovarian functions and therefore respond poorly to ovarian stimulation during ART. We compared DNA methylomes in ovarian granulosa cells from oocyte donors versus poor responders using two approaches: MethylCap-seq for broader genomic coverage, and RRBS for absolute quantification. Due to very limited amount of materials available from each poor responder, samples containing equal amounts of granulosa cell DNA were pooled from 10 individuals in each group. A second set of experiments pooling granulosa cell DNA samples from independent donor and poor responder groups (ten individuals each) was then performed.
2015-10-14 | GSE63470 | GEO