RNA regulation and disease

The paper identifies a bias toward C->U transitions in RNA viruses, suggesting RNA editing by APOBEC enzymes contributes to sequence diversity and evolution.

This study shows that prenatal stress reduces social interaction in male mice and hippocampal RNA editing, which is partially reversed by clozapine treatment.

MiREDiBase is a manually curated database of validated and putative miRNA editing events, including 3,059 sites from 626 pre-miRNAs in humans and three primates.

The paper investigates A-to-I RNA editing in SARS-COV-2 using RNAseq data and transcriptome data, finding that A-to-G changes represent genuine RNA editing events mediated by ADAR1.

The paper shows ADAR1 drives Multiple Myeloma progression by editing RNA and causing DNA mutations at editing sites.

This study identifies ADAR1's interaction with transcriptional byproducts using integrated sequencing data, revealing its role in RNA processing and debris clearance.

miRmedon detects miRNA editing in small RNAseq data by addressing limitations of existing methods through improved alignment and error distribution analysis.

This study shows ADAR1 interacts with Z-DNA during fear extinction learning, affecting RNA editing and memory flexibility.

This paper introduces LEAPER, a method using endogenous ADAR proteins for targeted RNA editing, demonstrating its efficacy in restoring p53 function and catalytic activity in disease models.

The paper identifies gene-specific RNA editing changes in hypoxic cell lines and preeclamptic fetuses, finding increased editing in cell lines and decreased in fetuses, with potential diagnostic markers identified.

The paper examines RNA editing changes in schizophrenia by analyzing postmortem brain samples and identifies genetic regulators and associations with schizophrenia GWAS loci.

The paper identifies 142 unique RNA editing sites in MDD patients using RNA sequence data from suicide cases and controls.

The paper presents an R-based method to distinguish genomic SNPs from RNA editing sites using allele depth ratios and predicted genotypes, achieving 86-90% accuracy.

The paper demonstrates the use of suppressor tRNAs and ADAR2 for in vivo RNA targeting to correct point mutations in mouse models of genetic diseases.