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. Mouse spermatocyte-derived GC-2 cells were intermittently exposed to a 50 Hz ELF-EMF for 72 h (5 min on/10 min off) at magnetic field intensities of 1 mT and 3 mT. miRNA expression was profiled using Affymetrix Mouse Genechip miRNA 3.0 arrays.
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.
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.
Project description:Consistent and independently replicated laboratory evidence to support a causative relationship between environmental exposure to extremely low frequency electromagnetic fields (ELF-EMF) at power line frequencies and the associated increase in risk of childhood leukaemia has not been obtained. In particular, although gene expression responses have been reported in a wide variety of cells, none have emerged as robust, widely replicated effects. DNA microarrays facilitate comprehensive searches for changes in gene expression without a requirement to select candidate responsive genes. To determine if gene expression changes occur in white blood cells of volunteers exposed to an ELF-EMF, each of 17 pairs of male volunteers age 20-30 was subjected either to a 50 Hz EMF exposure of 62.0 ± 7.1 μT for 2 h or to a sham exposure (0.21 ± 0.05 μT) at the same time (11:00-13:00). The alternative regime for each volunteer was repeated on the following day and the two-day sequence was repeated 6 days later except that a null exposure (0.085 ± 0.01 μT) replaced the sham exposure. Five blood samples (10 ml) were collected at 2 h intervals from 9:00 to 17:00 with five additional samples during the exposure and sham or null exposure periods on each study day at 11.05, 11.10, 11.20, 11.40 and 12.20. RNA samples were pooled for the same time points on each study day for the 17 volunteers that were subjected to the ELF-EMF exposure/sham or null exposure sequence and were analysed on Illumina microarrays. Time courses for 16 mammalian genes previously reported to be responsive to ELF-EMF exposure, including immediate early genes, stress response, cell proliferation and apoptotic genes were examined in detail. No genes or gene sets significantly expressed on the arrays showed consistent response profiles to repeated ELF-EMF exposures. A stress response was detected as a transient increase in plasma cortisol at the onset of either exposure or sham exposure on the first study day. The cortisol response diminished progressively on subsequent exposures or sham exposures and was attributable to mild stress associated with the experimental protocol.
Project description:Consistent and independently replicated laboratory evidence to support a causative relationship between environmental exposure to extremely low frequency electromagnetic fields (ELF-EMF) at power line frequencies and the associated increase in risk of childhood leukaemia has not been obtained. In particular, although gene expression responses have been reported in a wide variety of cells, none have emerged as robust, widely replicated effects. DNA microarrays facilitate comprehensive searches for changes in gene expression without a requirement to select candidate responsive genes. To determine if gene expression changes occur in white blood cells of volunteers exposed to an ELF-EMF, each of 17 pairs of male volunteers age 20-30 was subjected either to a 50 Hz EMF exposure of 62.0 ± 7.1 μT for 2 h or to a sham exposure (0.21 ± 0.05 μT) at the same time (11:00-13:00). The alternative regime for each volunteer was repeated on the following day and the two-day sequence was repeated 6 days later except that a null exposure (0.085 ± 0.01 μT) replaced the sham exposure. Five blood samples (10 ml) were collected at 2 h intervals from 9:00 to 17:00 with five additional samples during the exposure and sham or null exposure periods on each study day at 11.05, 11.10, 11.20, 11.40 and 12.20. RNA samples were pooled for the same time points on each study day for the 17 volunteers that were subjected to the ELF-EMF exposure/sham or null exposure sequence and were analysed on Illumina microarrays. Time courses for 16 mammalian genes previously reported to be responsive to ELF-EMF exposure, including immediate early genes, stress response, cell proliferation and apoptotic genes were examined in detail. No genes or gene sets significantly expressed on the arrays showed consistent response profiles to repeated ELF-EMF exposures. A stress response was detected as a transient increase in plasma cortisol at the onset of either exposure or sham exposure on the first study day. The cortisol response diminished progressively on subsequent exposures or sham exposures and was attributable to mild stress associated with the experimental protocol. The study design described in the summary gave a total of 40 pooled RNA samples (10 for each study day) using equal amounts of RNA from the 17 volunteers exposed to ELF-EMF on study days 1 and 3, a sham exposure on study day 2 and a null exposures on study day 4. The pooled sample from 11:00 on Day1 (immediately prior to ELF-EMF exposure) was used as a reference sample that was amplified and labelled 4 times with the other samples from each of the 4 study days (titled as replicates 1 to 4). Each replicate was hybridised twice (titled replicates a and b for each day ( e.g. 1a, 1b) to give a total of 8 arrays from the reference RNA sample (Sample names 2 and 41-47, i.e.GSM879110-GSM879117).
Project description:The ami of this study was to investigate the possible biological effects of ELF-EMF by cDNA microarray. Keywords: ELF-EMF, cDNA microarray, keratinocyte, cytoskeleton
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.
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.