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Status |
Public on Nov 10, 2010 |
Title |
High resolution NO3 response of Arabidopsis Roots |
Organism |
Arabidopsis thaliana |
Experiment type |
Expression profiling by array
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Summary |
This work uses a time series in order to decipher gene relationships and consequently to build core regulatory networks involved in Arabidopsis root adaptation to NO3- provision. The experimental approach has been to monitor genome response to NO3- at 3, 6, 9, 12, 15 and 20 min, using ATH1 chips. This high-resolution time course analysis demonstrated that the previously known primary nitrate response is actually preceded by very fast (within 3 min) gene expression modulation, involving genes/functions needed to prepare plants to use/reduce NO3-. State-space modeling (a machine learning approach) has been used to successfully predict gene behavior in unlearnt conditions.
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Overall design |
26 Samples: 2 at time 0 with no treatment; 4 at time 3, 2 with KCL and 2 with KNO3 treatment; 4 at time 6, 2 with KCL and 2 with KNO3 treatment; 4 at time 9, 2 with KCL and 2 with KNO3 treatment; 4 at time 12, 2 with KCL and 2 with KNO3 treatment; 4 at time 15, 2 with KCL and 2 with KNO3 treatment; 4 at time 20, 2 with KCL and 2 with KNO3 treatment;
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Citation(s) |
21182762 |
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Submission date |
Jan 26, 2010 |
Last update date |
Aug 15, 2018 |
Contact name |
Gabriel Krouk |
Organization name |
CNRS
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Department |
Biology
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Lab |
B&PMP
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Street address |
2 Place Pierre Viala
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City |
Montpellier |
ZIP/Postal code |
34060 |
Country |
France |
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Platforms (1) |
GPL198 |
[ATH1-121501] Affymetrix Arabidopsis ATH1 Genome Array |
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Samples (26)
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Relations |
Affiliated with |
GSE69995 |
BioProject |
PRJNA124307 |
Supplementary file |
Size |
Download |
File type/resource |
GSE20044_RAW.tar |
59.2 Mb |
(http)(custom) |
TAR (of CEL) |
Processed data included within Sample table |
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