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Series GSE133408 Query DataSets for GSE133408
Status Public on Mar 13, 2020
Title The jasmonate-response genome regulatory program is defined by the direct targets of transcription factors MYC2 and MYC3, chromatin modification and gene expression changes
Organism Arabidopsis thaliana
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Expression profiling by high throughput sequencing
Summary The hormone jasmonic acid (JA) controls a plethora of crucially important processes in plants through a signaling pathway orchestrated by the transcription factor MYC2 and its closest relatives. Understanding the systems-level actions of transcription factors provides insight into how the genome is reprogrammed in response to environmental stimuli. However, deeper biological insight can be obtained if transcription factor activity is set in the broader regulatory context of the cell and the downstream organismal phenotypes the transcription factors control. Here, we have investigated the MYC2-governed genome regulatory network that controls JA responses in Arabidopsis thaliana etiolated seedlings. We have generated an integrated framework of the response to JA that spans from the activity of master and secondary-regulatory transcription factors, through gene expression outputs and alternative splicing to protein abundance changes, protein phosphorylation and chromatin remodeling. We have integrated time series transcriptome analysis with (phospho)proteomic data using gene regulatory network models. These enable us to predict previously unknown points of crosstalk from JA to other signaling pathways and to identify new components of the JA regulatory mechanism, which we validated through targeted mutant studies. The result is a comprehensive understanding of how a plant hormone remodels cellular function and plant behavior, the general principles of which provide a framework for analysis of cross-regulation between other hormone and stress signaling pathways.
 
Overall design ChIP-seq, DAP-seq and RNA-seq was applied to comprehensively profile the chromatin landscape in Col-0 and myc2 mutants.
 
Contributor(s) Zander M, Lewsey MG, Clark N, Yin L, Bartlett A, Saldierna Guzmán JP, Hann E, Langford AE, Nery JR, Chen H, Walley JW, Ecker J
Citation(s) 32170290
Submission date Jun 27, 2019
Last update date Jun 19, 2020
Contact name Joseph R Ecker
E-mail(s) ecker@salk.edu
Phone 8584534100
Organization name HHMI-Salk-Institute
Department Genomic Analysis Laboratory
Lab Ecker lab
Street address 10010 North Torrey Pines Road
City La Jolla
State/province CA
ZIP/Postal code 92037
Country USA
 
Platforms (3)
GPL17639 Illumina HiSeq 2500 (Arabidopsis thaliana)
GPL17970 Illumina MiSeq (Arabidopsis thaliana)
GPL26208 Illumina NovaSeq 6000 (Arabidopsis thaliana)
Samples (96)
GSM3908299 ChIP-seq_Col-0_IgG
GSM3908300 ChIP-seq_Col-0_air_H3K4me3
GSM3908301 ChIP-seq_Col-0_4hJA_H3K4me3
Relations
BioProject PRJNA551415
SRA SRP212174

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE133408_RAW.tar 35.9 Mb (http)(custom) TAR (of BED, CSV, TXT, WIG)
GSE133408_toptags_JA_0_25hr.csv.gz 794.4 Kb (ftp)(http) CSV
GSE133408_toptags_JA_0_5hr.csv.gz 756.6 Kb (ftp)(http) CSV
GSE133408_toptags_JA_12_hr.csv.gz 814.7 Kb (ftp)(http) CSV
GSE133408_toptags_JA_1_hr.csv.gz 781.7 Kb (ftp)(http) CSV
GSE133408_toptags_JA_24_hr.csv.gz 846.8 Kb (ftp)(http) CSV
GSE133408_toptags_JA_2_hr.csv.gz 827.0 Kb (ftp)(http) CSV
GSE133408_toptags_JA_4_hr.csv.gz 807.3 Kb (ftp)(http) CSV
GSE133408_toptags_JA_8_hr.csv.gz 794.6 Kb (ftp)(http) CSV
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Raw data are available in SRA
Processed data provided as supplementary file
Processed data are available on Series record

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