Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Gene expression analysis of root tissue from rice grown on arsenite-spiked sediments

ABSTRACT: The experiment intended to identify biomarker genes for arsenite exposure in rice roots. These biomarker genes were tested as alternative endpoints in an sediment-contact test with rice (Brinke et al. Environ Sci Pollut R 22.16 (2015): 12664-12675)

ORGANISM(S): Oryza sativa Indica Group

SUBMITTER: Alexandra Brinke

PROVIDER: E-MTAB-5430 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Transcriptional changes measured in rice roots after exposure to arsenite-contaminated sediments.

Brinke Alexandra A Reifferscheid Georg G Klein Roland R Feiler Ute U Buchinger Sebastian S

Environmental science and pollution research international 20171113 3

Transcriptional analyses are discussed to provide a deeper understanding of the molecular mechanisms underlying toxic effects. Thus, they can complement classic ecotoxicological test methods and potentially allow the identification of biomarkers associated to the exposure of chemical stressors and or adverse biological effects. This feasibility study intended to identify a set of potential gene expression biomarkers for arsenite-exposure in rice roots that could complement the informative value ...[more]

PMID: 29134529

Similar Datasets

Project description:Arsenic (As) exposure is a significant worldwide environmental health concern. Low dose, chronic arsenic exposure has been associated with higher risk of skin, lung, and bladder cancer, as well as cardiovascular disease and diabetes. While arsenic-induced biological changes play a role in disease pathology, little is known about the dynamic cellular changes due to arsenic exposure and withdrawal. In these studies, we seek to understand the molecular mechanisms behind the biological changes induced by chronic low doses of arsenic exposure. We used a comprehensive approach involving chromatin structural studies and mRNA microarray analyses to determine how chromatin structure and gene expression patterns change in response to chronic low dose arsenic exposure and its subsequent withdrawal. Our results show that cells exposed to low doses of sodium arsenite have distinct temporal and coordinated chromatin, gene expression and miRNA changes that are consistent with differentiation and activation of multiple biochemical pathways. Most of these temporal patterns in gene expression are reversed when arsenic was withdrawn. However, some of the gene expression patterns remained altered, plausibly as a result of an adaptive response by these cells. Additionally, these gene expression patterns correlated with changes in chromatin structure, further solidifying the role of chromatin structure in gene regulatory changes due to arsenite exposure. Lastly, we show that arsenite exposure influences gene regulation both at the transcription initiation as well as at the splicing level. Thus our results suggest that general patterns of alternative splicing, as well as expression of particular gene regulators, can be indicative of arsenite-induced cell transformation. A total of eight (8) samples with two biological replicates under four separate conditions: wild-type treated with deionized H2O for 36 days (NT); chronic low-dose arsenic exposure of 1 uM of sodium arsenite (iAs-T) for 36 days; chronic arsenic exposure of 1 uM of sodium arsenite for 26 days followed by removal of sodium arsenite for 10 days, measured at day 36 (iAs-Rev); and chronic arsenic exposure of 1 uM of sodium arsenite for 26 days, followed by removal of sodium arsenite exposure for 10 days, followed by 1 uM of chronic sodium arsenite exposure for 10 days (measured at day 46) (iAs-Rev-T).

Dataset Information

Gene expression analysis of root tissue from rice grown on arsenite-spiked sediments

Publications

Transcriptional changes measured in rice roots after exposure to arsenite-contaminated sediments.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure