Transcriptomics

Dataset Information

0

Characterization of gene expression profiles at low and very low doses of ionizing radiation


ABSTRACT: The aim of the present study is to analyze by microarray techniques how gene expression is modulated after exposure to low and very low doses of ionizing radiation, to evaluate if the pattern of gene expression shows dose dependence, and to search for putative regulatory mechanisms behind the observed gene-expression modifications.For this, whole blood samples from five healthy donors diluted in IMDM (1:10) were exposed at six doses between 5 and 500 mGy. Total RNA extraction from CD4+ lymphocytes was done at four different post-irradiation times (150, 300, 450 and 600 min). After mRNA amplification, aRNAs were hybridized on 4x44k DNA microarrays. The results indicated that up-regulation were twice than down-regulation. Surprisingly, the number of modulated genes doesn’t seem to change drastically with dose, even at the lowest dose of 5 mGy. Clustering analysis revealed seven gene expression clusters with different dose dependence profiles. The functional analysis showed that the genes which increased their expression with the dose were related to p53 pathway and DNA damage response. This could be observed from 25 mGy, but becomes very clear at doses equal or greater than 100 mGy. On the other hand, genes with a constant modulation of their expression in all the tested doses were related to cellular respiration, ATP metabolic process and chromatin organization. These latter molecular mechanisms seem to be triggered at very low doses (5-25 mGy). In-silico promoter analysis seems to confirm the implication of transcription factors related to the pathways mentioned above.

ORGANISM(S): Homo sapiens

PROVIDER: GSE43151 | GEO | 2013/06/24

SECONDARY ACCESSION(S): PRJNA184726

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2013-06-24 | E-GEOD-43151 | biostudies-arrayexpress
2011-01-01 | E-GEOD-20562 | biostudies-arrayexpress
2017-07-25 | PXD003969 | Pride
2015-03-31 | E-GEOD-67309 | biostudies-arrayexpress
2015-03-31 | GSE67309 | GEO
2011-01-01 | GSE20562 | GEO
2015-05-14 | E-GEOD-62623 | biostudies-arrayexpress
2020-06-29 | GSE146198 | GEO
2020-07-15 | GSE137800 | GEO
2015-05-14 | GSE62623 | GEO