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Series GSE113950 Query DataSets for GSE113950
Status Public on Apr 27, 2021
Title Transcriptional network analysis of osmotic and ionic responses in Arabidopsis
Organism Arabidopsis thaliana
Experiment type Expression profiling by array
Summary Salt and PEG tolerances of 70 Arabidopsis accessions were screened. Five commonly used Arabidopsis accessions (C24, Col, Ler, SHA, Ws) were selected for further analysis. The results showed that SHA and C24 were relatively tolerant, while Ler and Ws were relatively susceptible to both salt and PEG stress. Transcriptomic analysis revealed that 4105 to 8782 genes exhibited significant expression level changes among five accessions in the presence and absence of stress treatments. The function of these genes were involved in stress response, ROS and metabolic pathways. The detailed networks affected by salt and osmotic stresses were dissected.
 
Overall design Salt stress (100mM NaCl), osmotic stress (-1.2 MPa PEG) and control treatments were applied on 10-day-old plants for 4 days. Two biological reps and 5 Arabidopsis accessions were used in this study. In total 30 Agilent microarrays were hybridized with Cyanine-3 (Cy3) labeled probe.
 
Contributor(s) Chan Z
Citation(s) 33280127
Submission date May 02, 2018
Last update date Apr 27, 2021
Contact name Zhulong Chan
E-mail(s) zlchan@mail.hzau.edu.cn
Organization name Huazhong Agricultural University
Department College of Horticulture and Forestry Sciences
Street address No. 1, Shizishan St, Nanhu
City Wuhan
State/province Hubei Province
ZIP/Postal code 430070
Country China
 
Platforms (1)
GPL9020 Agilent-021169 Arabidopsis 4 Oligo Microarray (V4) (Feature Number version)
Samples (30)
GSM3124468 C24 control rep1
GSM3124469 C24 control rep2
GSM3124470 C24 after PEG treatment rep1
Relations
BioProject PRJNA454593

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MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE113950_RAW.tar 69.7 Mb (http)(custom) TAR (of TXT)
Processed data included within Sample table

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