2020
DOI: 10.1016/j.chmed.2019.10.001
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Comparative transcriptome and co-expression analysis reveal key genes involved in leaf margin serration in Perilla frutescens

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Cited by 3 publications
(3 citation statements)
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“…A total of 8767 unigenes were upregulated and 8379 unigenes were downregulated in the comparison of two Betula pendula plants with different leaf shapes at the transcriptome level [ 24 ]. Researchers have identified 43 differentially expressed genes (DEGs) that potentially regulate leaf shape in Perilla frutescens using transcriptome sequencing and co-expression analysis, which may potentially regulate leaf shape [ 25 ]. In this study, the Corset hierarchical clustering method was used to select unigenes, which not only achieved the goal of aggregating redundant transcripts, but also improved the detection rate of differentially expressed genes [ 26 , 27 , 28 ].…”
Section: Discussionmentioning
confidence: 99%
“…A total of 8767 unigenes were upregulated and 8379 unigenes were downregulated in the comparison of two Betula pendula plants with different leaf shapes at the transcriptome level [ 24 ]. Researchers have identified 43 differentially expressed genes (DEGs) that potentially regulate leaf shape in Perilla frutescens using transcriptome sequencing and co-expression analysis, which may potentially regulate leaf shape [ 25 ]. In this study, the Corset hierarchical clustering method was used to select unigenes, which not only achieved the goal of aggregating redundant transcripts, but also improved the detection rate of differentially expressed genes [ 26 , 27 , 28 ].…”
Section: Discussionmentioning
confidence: 99%
“…Differential expression and bioinformatics analyses were performed to identify lncRNAs, miRNAs, and mRNAs with differential expression between 5×FAD and WT mice using the “edgeR” packages in R [ 42 ]. To make the lncRNA and mRNA expression levels comparable across samples and experiments, we represented the expression levels of lncRNAs and mRNAs in units of TPM, a superior measure when considering the sequencing depth and gene length along with the effect of samples on the counts of reads [ 43 ].…”
Section: Methodsmentioning
confidence: 99%
“…KEGG enrichment was performed to analyze the enriched pathways associated with circRNA target genes ( Chen et al, 2020 ; Shen et al, 2020 ). The GO knowledge base was used to describe information on the functions of genes, including biological processes (BP), molecular functions (MF), and cellular components (CC).…”
Section: Methodsmentioning
confidence: 99%