biomedical and healthCAre Data Discovery Index Ecosystem
biomedical and healthCAre Data Discovery Index Ecosystem
| Title: | LET-dependent change in rice gene expression profile after heavy-ion beam irradiation [time]
|
| dateReleased: |
07-01-2016
|
| description: |
Linear energy transfer (LET) is an important factor affecting several aspects of the irradiation effect, e.g. cell survival and mutation frequency, making the heavy-ion beam an effective mutagen. To study the mechanisms behind LET-dependent effects, expression profiling was performed after heavy-ion beam irradiation of imbibed rice seeds. Array-based experiments at three time points (0.5, 1, 2 h after the irradiation) revealed that the number of up- or down-regulated genes was highest 2 h after irradiation. Array-based experiments with four different LETs at 2 h after irradiation identified LET-independent regulated genes that were up/down-regulated regardless of the value of LET; LET-dependently regulated genes, whose expression level increased with the rise of LET value, were also identified. Oryza sativa L. 'Nipponbare' seeds were imbibed for 3 days. The seeds were irradiated with 22.5 or 50 keV/μm C-ion at a dose of 15 Gy. Gene expressions of irradiated and unirradiated embryos were measured at 0.5, 1, and 2 hours after irradiation. Three independent experiments were performed at each time and LET.
|
| privacy: |
not applicable
|
| aggregation: |
instance of dataset
|
| ID: |
E-GEOD-78997
|
| refinement: |
raw
|
| alternateIdentifiers: |
78997
|
| keywords: |
functional genomics
|
| dateModified: |
07-10-2016
|
| availability: |
available
|
| types: |
gene expression
|
| name: |
Oryza sativa
|
| ID: |
A-GEOD-6864
|
| name: |
Rice 44K
|
| accessURL: | https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-78997/E-GEOD-78997.raw.1.zip |
| storedIn: |
ArrayExpress
|
| qualifier: |
gzip compressed
|
| format: |
TXT
|
| accessType: |
download
|
| authentication: |
none
|
| authorization: |
none
|
| accessURL: | https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-78997/E-GEOD-78997.processed.1.zip |
| storedIn: |
ArrayExpress
|
| qualifier: |
gzip compressed
|
| format: |
TXT
|
| accessType: |
download
|
| authentication: |
none
|
| authorization: |
none
|
| accessURL: | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE78997 |
| storedIn: |
Gene Expression Omnibus
|
| qualifier: |
not compressed
|
| format: |
HTML
|
| accessType: |
landing page
|
| primary: |
true
|
| authentication: |
none
|
| authorization: |
none
|
| abbreviation: |
EBI
|
| homePage: | http://www.ebi.ac.uk/ |
| ID: |
SCR:004727
|
| name: |
European Bioinformatics Institute
|
| homePage: | https://www.ebi.ac.uk/arrayexpress/ |
| ID: |
SCR:002964
|
| name: |
ArrayExpress
|