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MicroRNA regulation in Arabidopsis thaliana
Diane Guo CUHK 6th IncoB, Aug.29, 2007
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Outline Background Characterization of miRNA targets
Interactions between miRNAs and various cellular pathways Coordinated regulation by miRNAs and transcription factors Summary
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microRNA miRNAs are small endogenous RNA molecules (~22nt) found in plant and animals Regulate gene expression through targeted mRNA cleavage or translational repression Play critical roles in a variety of cellular processes such as development, cell proliferation, apoptosis, and stress response, etc
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MiRNA processing and activity
(borrowed from Ambion)
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Mode of miRNA action in plants and animals
(borrowed from Ambion)
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Table 1 GO terms of miRNA targets (molecular function)
GO ID GO Term Target P-value GO: GO: GO: GO: GO: GO: GO: GO: GO: transcription factor activity other enzyme activity DNA or RNA binding hydrolase activity protein binding nucleotide binding kinase activity molecular function unknown 139 9 89 14 17 10 44 58 333 0.0002 0.0006 0.0013 0.0026 0.0032 0.0076 0.01 1
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Table 2 Feature of miRNA target
Target Type Target Number High-link (>5) 78 Low-link (<=4) 45 Total 123
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Table 2 Feature of miRNA target
Role of target Positive regulation Negative regulation Total Regulating 27 28 55 Being regulated 21 14 35 48 42 90
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MiRNAs more frequently target genes with less transcription factor binding site
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Summary We systematically analyzed the characteristics of miRNA targets. MiRNAs with multi-gene families are more likely to target TFs, and miRNAs represented by single gene tend to target non-TFs. To systematically investigate the interactions between miRNAs and various cellular pathways, we analyzed the miRNA targets distribution in the pathways and found that miRNAs regulate the pathway through selectively interacting with positive regulatory modules and highly connected nodes. We found that miRNA preferentially target genes bearing less TFBSs. This suggests that the post-transcriptional regulation by miRNAs is coordinated with regulation at the transcriptional level by transcription factors.
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Acknowledgement CUHK: Zhang Qing NEAU: Li Yong Zhu Yanming
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