Dataset Information

Global gene expression analysis in PBMCs of individuals from normal and high level natural radiation areas of Kerala Coast, India

ABSTRACT: Gene expression changes in human populations exposed to chronic low level radiation have important implications. There are few areas around the world where human population is exposed to elevated levels of natural background radiation. The high level natural radiation areas (HLNRAs) of Kerala coast in south west India is unique for its wide variation in the background radiation dose (<1.0mGy to 45mGy/year). The areas with a background radiation dose of ≤ 1.5mGy/year are considered as normal level natural radiation areas (NLNRA), whereas areas with > 1.5mGy/year are considered as HLNRA. We used microarray analysis to find out global changes in gene expression in peripheral blood mononuclear cells (PBMCs) of individuals belonging to different HLNRA groups as compared to individuals from normal level natural radiation areas (NLNRA).

ORGANISM(S): Homo sapiens

PROVIDER: GSE95279 | GEO | 2017/10/26

SECONDARY ACCESSION(S): PRJNA376557

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:In the summer of 2012, one year after the 3.11 accident at Fukushima Daiichi nuclear power plant following the Great Tohoku Earthquake, a project was initiated to examine the effects of low-level gamma radiation on rice plants. The site of the experiment was the highly contaminated Iitate village in Fukushima prefecture of Japan. The basic experimental strategy was to expose healthy rice seedlings to continuous low-dose gamma radiation and examine the morphological and molecular genetic changes therien. Selected gene expression profiles of internal control, DNA replication/repair, oxidative stress, photosynthesis, and defense/stress functions were examined by semi-quantitative RT-PCR. Results revealed that low-level gamma radiation affects the expression of numerous genes, in particular showing the early (6 h) induction in DNA repair/damage-related genes and the late (72 h) induction of a previously described marker gene for defense/stress responses. Based on these results, which confirmed our data from preliminary experiments using detached rice leaves for radiation exposure, we proceeded for DNA microarray analysis. Using the established dye-swap approach, we analyzed the differentially expressed genes at 6 and 72 h time points using a whole rice genome 4 x 44 K custom chip. Obtained results showed that exposure to low-level gamma radiation differentially regulated 4481 (induced) and 3740 (suppressed) and 2291 (induced) and 1474 (suppressed) rice leaf genes at 6 and 72 h post-exposure, respectively, by at least two-fold changes. MapMan bioinformatics tool was also used to produce diagrams of the potential pathways, based on the input gene expression data of highly changed genes, operating downstream of the gamma radiation perception by rice plant.Inventory of a large number of gamma radiation-responsive genes in leaves provide new information and increased knowledge on novel regulatory processes in rice. The highly contaminated Iitate Farm (ITF), which is located 31 Km from the damaged nuclear power plant and having a background radiation level over 100 times (~ 5 microSv/h) than normal, was the designated place for the re-examination of low-level gamma radiation experiments using rice as a model system. As our group had a decade of experience and data on the effects of gamma radiation on leaf segments, the experimental was designed in such a way so as to expose whole rice plants to gamma radiation being emitted from the contaminated ground and examine the morphological and molecular genetic changes in the leaves under a dose-dependent manner.

Dataset Information

Global gene expression analysis in PBMCs of individuals from normal and high level natural radiation areas of Kerala Coast, India

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets