A-to-I editing in human miRNAs is enriched in seed sequence, influenced by sequence contexts and significantly hypoedited in glioblastoma multiforme.
Deepanjan PaulAshis Narayan SinhaArjun RayMegha LalSubhashree NayakAnchal SharmaBharati MehaniDebasish MukherjeeSaurabh V LaddhaAshish SuriChitra SarkarArijit MukhopadhyayPublished in: Scientific reports (2017)
Editing in microRNAs, particularly in seed can significantly alter the choice of their target genes. We show that out of 13 different human tissues, different regions of brain showed higher adenosine to inosine (A-to-I) editing in mature miRNAs. These events were enriched in seed sequence (73.33%), which was not observed for cytosine to uracil (17.86%) editing. More than half of the edited miRNAs showed increased stability, 72.7% of which had ΔΔG values less than -6.0 Kcal/mole and for all of them the edited adenosines mis-paired with cytosines on the pre-miRNA structure. A seed-editing event in hsa-miR-411 (with A - C mismatch) lead to increased expression of the mature form compared to the unedited version in cell culture experiments. Further, small RNA sequencing of GBM patients identified significant miRNA hypoediting which correlated with downregulation of ADAR2 both in metadata and qRT-PCR based validation. Twenty-two significant (11 novel) A-to-I hypoediting events were identified in GBM samples. This study highlights the importance of specific sequence and structural requirements of pre-miRNA for editing along with a suggestive crucial role for ADAR2. Enrichment of A-to-I editing in seed sequence highlights this as an important layer for genomic regulation in health and disease, especially in human brain.
Keyphrases
- crispr cas
- endothelial cells
- cell proliferation
- healthcare
- public health
- poor prognosis
- gene expression
- long non coding rna
- ejection fraction
- amino acid
- signaling pathway
- prognostic factors
- multiple sclerosis
- transcription factor
- blood brain barrier
- decision making
- protein kinase
- long noncoding rna
- copy number
- binding protein
- patient reported
- social media
- genome wide analysis