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Genome-wide transcriptome and epigenome data analysis of kaku4-2 mutant and WT plants

ABSTRACT: Genome-wide transcriptome and epigenome data analysis of kaku4-2 mutant and WT plants

PROVIDER: PRJNA1036575 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR26700800_1.fastq.gz	Fastqsanger.gz
	SRR26700800_2.fastq.gz	Fastqsanger.gz
	SRR26700801_1.fastq.gz	Fastqsanger.gz
	SRR26700801_2.fastq.gz	Fastqsanger.gz
	SRR26700790_1.fastq.gz	Fastqsanger.gz

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Genome-wide transcriptome and epigenome data analysis of kaku4-2 mutant and WT plants

Project description:We conducted ChIP-seq technology to generate epigenomic profiles of H3K4me3, H3K27me3 and H3K9me2 in Arabidopsis leaves for the mutant (kaku4-2) and wild-type (WT) plants. The results showed that knockdown of KAKU4 has the strongest effect on H3K27me3, followed by H3K9me2, and the least effect on H3K4me3, leading to significant change of chromatin states in Arabidopsis genome. KAKU4 may affect the switch between active and repressive chromatin states, especially knockdown of KAKU4 caused the transition between H3K9me2 and H3K27me3 in some specific PLAD regions. The combination analysis of epigenomic and transcriptomic data between kaku4-2 mutant and WT suggested that KAKU4 may regulate some key biological processes, especially programmed cell death and hormone signaling pathways.

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