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Status |
Public on Feb 09, 2024 |
Title |
Transcriptome and epigenome data analysis to reveal the key role of KAKU4 during leaf senescence in Arabidopsis |
Organism |
Arabidopsis thaliana |
Experiment type |
Expression profiling by high throughput sequencing Genome binding/occupancy profiling by high throughput sequencing
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Summary |
We conducted the combination analysis of transcriptomic and epigenomic data between kaku4-2 mutant and WT suggested that KAKU4 may inhibit the expression of a series of genes related to hormone signals and H2O2 metabolism by affecting the deposition of H3K27me3, thereby suppressing leaf senescence.
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Overall design |
Rosette leaves of the 6-week-old kaku4-2 mutant and WT plants were sampled for RNA-seq with three independent biological replicates. The ChIP-seq analyses of H3K27me3 were conducted using the 6-week-old rosette leaves of kaku4-2 mutant and WT.
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Contributor(s) |
Cao Y, Yan H, Sheng M, Xu W |
Citation(s) |
38448830 |
Submission date |
Dec 15, 2023 |
Last update date |
Mar 12, 2024 |
Contact name |
Zhen Su |
E-mail(s) |
zhensu@cau.edu.cn
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Phone |
+86-10-62734385
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Organization name |
China Agricultural University
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Department |
College of Biological Sciences
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Street address |
#2 Yuanmingyuan Xilu
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City |
Beijing |
ZIP/Postal code |
100193 |
Country |
China |
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Platforms (2) |
GPL13222 |
Illumina HiSeq 2000 (Arabidopsis thaliana) |
GPL26208 |
Illumina NovaSeq 6000 (Arabidopsis thaliana) |
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Samples (8)
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Relations |
BioProject |
PRJNA1053328 |