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Series GSE201607 Query DataSets for GSE201607
Status Public on May 03, 2022
Title Machine learning accelerates the dissection of mitostasis as a cross-species central biological hub for leaf senescence
Organisms Arabidopsis thaliana; Solanum lycopersicum; Oryza sativa Japonica Group
Experiment type Expression profiling by high throughput sequencing
Summary Leaf senescence is a tightly controlled and complex developmental process that shares many similarities across species, yet our understanding of the underlying conserved molecular mechanisms is still lacking. Here, we observed functional conservation of leaf senescence underlying pathways in A. thaliana, O. sativa, and S. lycopersicum. From machine learning-based integration of data from nearly 10 000 samples to obtain a universal regulatory network of leaf senescence, it was found that mitostasis is the cross-species central biological hub. We measure and compare changes in the transcriptome and metabolome of A. thaliana, O. sativa, and S. lycopersicum leaves under mitostress/natural senescence. In data from different species, mitostasis-related transcription factors binding site enrichment and amino acids expression changes converge on putative senescence modulators. Our study provides a cross-species, multi-omics perspective for understanding the leaf senescence conserved mechanisms.
 
Overall design Comparative gene expression profiling analysis of RNA-seq data of A. thaliana, O. sativa, and S. lycopersicum leaves when 10 μ g / mg doxycycline was applied to cultivated soil.
 
Contributor(s) Liu M, Wang X
Citation(s) 36643763
Submission date Apr 26, 2022
Last update date Apr 02, 2023
Contact name Moyang Liu
E-mail(s) cooljeep@sjtu.edu.cn
Organization name Shanghai Jiao Tong University
Department School of Agriculture and Biology
Street address dongchuan road 800
City Shanghai
ZIP/Postal code 200240
Country China
 
Platforms (3)
GPL26208 Illumina NovaSeq 6000 (Arabidopsis thaliana)
GPL27860 Illumina NovaSeq 6000 (Oryza sativa Japonica Group)
GPL27957 Illumina NovaSeq 6000 (Solanum lycopersicum)
Samples (18)
GSM6068492 CK_At-1
GSM6068493 CK_At-2
GSM6068494 CK_At-3
Relations
BioProject PRJNA832295

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
GSE201607_at.count.tab.gz 353.0 Kb (ftp)(http) TAB
GSE201607_os.count.tab.gz 478.8 Kb (ftp)(http) TAB
GSE201607_sl.count.tab.gz 391.0 Kb (ftp)(http) TAB
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Raw data are available in SRA
Processed data are available on Series record

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