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Series GSE149037 Query DataSets for GSE149037
Status Public on Jun 07, 2020
Title Comprehensive transcriptome profiling for response to phytohormone-induced signaling in Capsicum annuum L.
Organism Capsicum annuum
Experiment type Expression profiling by high throughput sequencing
Summary We sought to investigate the scope of transcriptome analyses of peppers subjected to four major phytohormones. For this, At the 6-true-leaf stage, pepper plants were sprayed at underside of leaves with 5 mM sodium salicylate (SA), 100 μM methyl jasmonate (JA), 5 mM ethephone (ET), 100 μM (±)-ABA, or distilled water (mock). For RNA-seq library construction, the third or fourth leaves from four plants were harvested per replicate at 0, 1, 3, 6, 12, and 24 h after treatment. A total of 187.8 Gb of transcriptome data were generated using transcriptome analysis pipelines consisting of quality control, quantification, and differential gene expression analyses. The extensive transcriptome data obtained will provide valuable information for future studies of crops exposed to responsive of phytohormones.
 
Overall design We performed the RNA-seq analyses of peppers treated with SA, JA, ET, and ABA at six different time points. A total of 78 RNA samples, containing three biological replicates per time point for each of the phytohormones and a mock control, were used for RNA-sequencing
 
Contributor(s) Lee J, Nam J, Jang H, Kim N, Kim Y, Kang W, Yeom S
Citation(s) 32943083
BioProject PRJNA634831
Submission date Apr 21, 2020
Last update date Oct 02, 2020
Contact name Seon-In Yeom
E-mail(s) sunin78@gnu.ac.kr
Organization name Gyeongsang National University
Street address 501, Jinjou-daero
City Jinju
ZIP/Postal code 52828
Country South Korea
 
Platforms (1)
GPL26789 Illumina HiSeq 2500 (Capsicum annuum)
Samples (78)
GSM4487837 sig-mock-0h-1
GSM4487838 sig-mock-0h-2
GSM4487839 sig-mock-0h-3
Relations
SRA SRP187794

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SOFT formatted family file(s) SOFTHelp
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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE149037_Signal_RNA-seq_Paired_Read_count.txt.gz 2.3 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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