Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA338926 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR4031390.fastq.gz | Fastqsanger.gz | |||
| SRR4031400.fastq.gz | Fastqsanger.gz | |||
| SRR4031391.fastq.gz | Fastqsanger.gz | |||
| SRR4031401.fastq.gz | Fastqsanger.gz | |||
| SRR4031392.fastq.gz | Fastqsanger.gz |
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Project description:To address whether ELF-MF influences the epigenetic landscape in the T cell lymphoma cell line Jurkat , we exposed Jurkat cells in the exponential growth phase to ELF MF or a sham control for 72 h, applying intermittently (5’ on/10’ off) a 50 Hz sine ELF-MF at a flux density of 1 mT. Additionally, cells were treated with the histone deacetylation inhibitor trichostatin A (TSA) at a subtoxic dose of 10 nM. Genome-wide profiling of active and repressive histone modifications did not reveal significant alterations. However, ELF-MF exposure has an influence on the robustness of the epigenetic landscape in leukaemic cells. Our data suggests that ELF-MF has a stochastic effect on the epigenetic landscape of individual cells.
2017-03-01 | GSE85601 | GEO
Project description:To address whether ELF-MF influences the epigenetic landscape in differentiating haematopoietic cells, we performed an in vitro haematopoietic differentiation under powerline-simulating ELF-MF exposure (50 Hz, 1 mT, 5’ on/10’ off) in comparison to sham exposure (50 Hz, 7 µT, 5’ on/10’ off) or no exposure. We differentiated CD34+ cells (allcells, CB008F, lot: CBC121009M) isolated from human cord blood into the neutrophilic lineage, and performed ChIP combined with next generation sequencing for the histone modifications H3K4me2 and H3K27me3 before (t0) and after 5 days (t5) of differentiation. Genome-wide profiling of active and repressive histone modifications did not reveal significant alterations. However, ELF MF exposure has an influence on the robustness of the epigenetic landscape during global chromatin programming of granulopoiesis. Our data suggests that ELF MF has a stochastic effect on the epigenetic landscape of individual cells.
2017-03-01 | GSE85562 | GEO
Project description:Genome-wide analysis of histone modifications during neutrophilic granulopoiesis following ELF-MF exposure
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Project description:To address whether ELF-MF influences the epigenetic landscape in differentiating haematopoietic cells, we performed an in vitro haematopoietic differentiation under powerline-simulating ELF-MF exposure (50 Hz, 1 mT, 5’ on/10’ off) in comparison to sham exposure (50 Hz, 7 µT, 5’ on/10’ off) or no exposure. We differentiated CD34+ cells (allcells, CB008F, lot: CBC121009M) isolated from human cord blood into the neutrophilic lineage, and performed genome-wide methylation analysis at single CpG sites of CD34+ cells and day 5 progenitors, using the Illumina Infinium HumanMethylation 450 platform. Exposure to ELF MF did not significantly impact the programming of DNA methylation pattern during granulopoiesis. However, ELF MF exposure has an influence on the robustness of the epigenetic landscape during global chromatin programming of granulopoiesis. Our data suggests that ELF MF has a stochastic effect on the epigenetic landscape of individual cells.
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Project description:DNA methylation analysis during neutrophilic granulopoiesis under ELF-MF exposure
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Project description:<p>Mycosis Fungoides (MF) and Sézary Syndrome (Sz) comprise the majority of Cutaneous T-Cell Lymphoma (CTCL) cases and are characterized by clinical heterogeneity. This array of symptoms includes skin patches, plaques and tumors as well as blood involvement and erythroderma. Because the genetic basis of CTCL is still poorly understood, we performed whole-exome sequencing on 11 MF/Sz samples and their matched, normal control DNA. Upon analyzing this data, we distilled a list of an additional 494 genes to be sequenced at depth. The majority of these 494 genes were sequenced in the exons alone, however, for a small subset of these genes we sequenced the entire genomic locus in search of structural variation events. This 494 gene targeted resequencing effort was performed upon 72 patients with MF/Sz and their matched, normal control DNA. An additional 5 MF/Sz and matched, normal DNA samples underwent whole genome amplification (WGA) prior to library preparation, which appears to have introduced mutations into these samples, however we also include them here. We additionally include 10 MF/Sz samples without a matched, normal control samples, 1 of which underwent WGA. In addition to primary disease samples, we also performed targeted resequencing on 4 CTCL cell lines (HH, MyLa, SeAx and Hut78) as well as on H9 cells (a subclone of Hut78 cells) and Jurkat cells, a T-ALL derived cell line that was used as an experimental system for our work. In sum, this data deposition includes exome and/or targeted resequencing from 92 individuals with 192 samples submitted.</p>
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Project description:The potential health hazard of exposures to electromagnetic fields (EMF) continues to cause much public concern. However, the biological and health effects of exposures to EMF remain controversial and their biophysical mechanisms are unclear. In the present study, we used Saccharomyces cerevisiae to identify genes responding to extremely low frequency magnetic fields (ELF-MF) and to radiofrequency (RF) EMF exposures. The expression of genes was analyzed by microarray screening and confirmed by real-time reverse transcription -polymerase chain reaction. In confirmation experiments, we found that there was no statistically significant change in three of the ELF-MF responsive candidate genes (P>0.05). On the other hand, out of the forty genes that responded to RF-EMF, the confirmation experiments found that only five were affected: structural maintenance of chromosomes 3-gene (SMC3), aquaporin 2 –gene (AQY2), halotolerance protein 9 –gene (HAL9), yet another kinase 1 -gene (YAK1) and one of unknown function gene (open reading frame: YJL171C) (P<0.05). Overall, this study has demonstrated that the yeast cells did not respond to 50 Hz ELF-MF and that the response to RF-EMF is limited to only five genes. The biological consequences of the observed gene expression changes induced by RF-EMF await further investigation. The yeast cells were exposed to 0.4 mT 50 Hz ELF-MF or 1800 MHz RF-EMF at a specific absorption rate of 3.5 W/kg for 6 hours.
2011-02-15 | E-GEOD-27308 | biostudies-arrayexpress
Project description:Aberrant miRNA expression has been related to the development of human germ cell tumors, but little is known about effect of ELF-EMFs on miRNA expression. ELF-EMFs may epigenetically modify cells, which may account for the adverse effects of ELF-EMFs on the male reproductive system. To identify miRNAs that were differentially expressed between the sham and ELF-EMF exposure groups, we performed an Affymetrix microarray analysis to establish the miRNA expression profiles.
2016-07-01 | GSE71147 | GEO
Project description:We have carried out high-throughput profiling of histone modifications and transcription factors in mammalian cells. First we generated stable PHF6 knock out lines by CRISPR-Cas9 technology in wild type Jurkat cells. We electroporated the RNP complex in Jurkat cells conatining guide RNAs against either non-targeting (EV) or PHF6 (KO) followed by single clone isolation and expansion. We confirmed absolute loss of total protein by WB and indel formation (mutation efficiency) at the PHF6 genomic locus by Sanger sequencing. By obtaining over six to ten billion bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of well studied histone modifications and transcription factors. This study provides a framework for eluciadting the role of PHF6 in regulating the chromatin landscape encompassing both activating and repressive histone modifications and chromatin remodelers in the context of leukemia.
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Project description:The potential health hazard of exposures to electromagnetic fields (EMF) continues to cause much public concern. However, the biological and health effects of exposures to EMF remain controversial and their biophysical mechanisms are unclear. In the present study, we used Saccharomyces cerevisiae to identify genes responding to extremely low frequency magnetic fields (ELF-MF) and to radiofrequency (RF) EMF exposures. The expression of genes was analyzed by microarray screening and confirmed by real-time reverse transcription -polymerase chain reaction. In confirmation experiments, we found that there was no statistically significant change in three of the ELF-MF responsive candidate genes (P>0.05). On the other hand, out of the forty genes that responded to RF-EMF, the confirmation experiments found that only five were affected: structural maintenance of chromosomes 3-gene (SMC3), aquaporin 2 –gene (AQY2), halotolerance protein 9 –gene (HAL9), yet another kinase 1 -gene (YAK1) and one of unknown function gene (open reading frame: YJL171C) (P<0.05). Overall, this study has demonstrated that the yeast cells did not respond to 50 Hz ELF-MF and that the response to RF-EMF is limited to only five genes. The biological consequences of the observed gene expression changes induced by RF-EMF await further investigation.
2011-02-15 | GSE27308 | GEO