A directed evolution design of a GCG-specific DNA hemimethylase

DNA cytosine-5 methyltransferases (C5-MTases) are valuable models to study sequence-specific modification of DNA and are becoming increasingly important tools for biotechnology. Here we describe a structure-guided rational protein design combined with random mutagenesis and selection to change the specificity of the HhaI C5-MTase from GCGC to GCG. The specificity change was brought about by a five-residue deletion and introduction of two arginine residues within and nearby one of the target recognizing loops. DNA protection assays, bisulfite sequencing and enzyme kinetics showed that the best selected variant is comparable to wild-type M.HhaI in terms of sequence fidelity and methylation efficiency, and supersedes the parent enzyme in transalkylation of DNA using synthetic cofactor analogs. The designed C5-MTase can be used to produce hemimethylated CpG sites in DNA, which are valuable substrates for studies of mammalian maintenance MTases

Methyltransferase-directed orthogonal tagging and sequencing of miRNAs and bacterial small RNAs

BACKGROUND: Targeted installation of designer chemical moieties on biopolymers provides an orthogonal means for their visualisation, manipulation and sequence analysis. Although high-throughput RNA sequencing is a widely used method for transcriptome analysis, certain steps, such as 3' adapter ligation in strand-specific RNA sequencing, remain challenging due to structure- and sequence-related biases introduced by RNA ligases, leading to misrepresentation of particular RNA species. Here, we remedy this limitation by adapting two RNA 2'-O-methyltransferases from the Hen1 family for orthogonal chemo-enzymatic click tethering of a 3' sequencing adapter that supports cDNA production by reverse transcription of the tagged RNA. RESULTS: We showed that the ssRNA-specific DmHen1 and dsRNA-specific AtHEN1 can be used to efficiently append an oligonucleotide adapter to the 3' end of target RNA for sequencing library preparation. Using this new chemo-enzymatic approach, we identified miRNAs and prokaryotic small non-coding sRNAs in probiotic Lactobacillus casei BL23. We found that compared to a reference conventional RNA library preparation, methyltransferase-Directed Orthogonal Tagging and RNA sequencing, mDOT-seq, avoids misdetection of unspecific highly-structured RNA species, thus providing better accuracy in identifying the groups of transcripts analysed. Our results suggest that mDOT-seq has the potential to advance analysis of eukaryotic and prokaryotic ssRNAs. CONCLUSIONS: Our findings provide a valuable resource for studies of the RNA-centred regulatory networks in Lactobacilli and pave the way to developing novel transcriptome and epitranscriptome profiling approaches in vitro and inside living cells. As RNA methyltransferases share the structure of the AdoMet-binding domain and several specific cofactor binding features, the basic principles of our approach could be easily translated to other AdoMet-dependent enzymes for the development of modification-specific RNA-seq techniques

Tissue-specific miRNAs regulate the development of thoracic aortic aneurysm: the emerging role of KLF4 network

MicroRNAs (miRNAs) are critical regulators of the functional pathways involved in the pathogenesis of cardiovascular diseases. Understanding of the disease-associated alterations in tissue and plasma will elucidate the roles of miRNA in modulation of gene expression throughout development of sporadic non-syndromic ascending thoracic aortic aneurysm (TAA). This will allow one to propose relevant biomarkers for diagnosis or new therapeutic targets for the treatment. The high-throughput sequencing revealed 20 and 17 TAA-specific miRNAs in tissue and plasma samples, respectively. qRT-PCR analysis in extended cohort revealed sex-related differences in miR-10a-5p, miR-126-3p, miR-155-5p and miR-148a-3p expression, which were the most significantly dysregulated in TAA tissues of male patients. Unexpectedly, the set of aneurysm-related miRNAs in TAA plasma did not resemble the tissue signature suggesting more complex organism response to the disease. Three of TAA-specific plasma miRNAs were found to be restored to normal level after aortic surgery, further signifying their relationship to the pathology. The panel of two plasma miRNAs, miR-122-3p, and miR-483-3p, could serve as a potential biomarker set (AUC = 0.84) for the ascending TAA. The miRNA-target enrichment analysis exposed TGF-β signaling pathway as sturdily affected by abnormally expressed miRNAs in the TAA tissue. Nearly half of TAA-specific miRNAs potentially regulate a key component in TGF-β signaling: TGF-β receptors, SMADs and KLF4. Indeed, using immunohistochemistry analysis we detected increased KLF4 expression in 27% of TAA cells compared to 10% of non-TAA cells. In addition, qRT-PCR demonstrated a significant upregulation of ALK1 mRNA expression in TAA tissues. Overall, these observations indicate that the alterations in miRNA expression are sex-dependent and play an essential role in TAA via TGF-β signaling

Functional mapping of the plant small RNA methyltransferase: HEN1 physically interacts with HYL1 and DICER-LIKE 1 proteins

Methylation of 3'-terminal nucleotides of miRNA/miRNA* is part of miRNAs biogenesis in plants but is not found in animals. In Arabidopsis thaliana this reaction is carried out by a multidomain AdoMet-dependent 2'-O-methyltransferase HEN1. Using deletion and structure-guidedmutational analysis, we show that the double-stranded RNA-binding domains R1 and R2 of HEN1 make significant but uneven contributions to substrate RNA binding, and map residues in each domain responsible for this function. Using GST pull-down assays and yeast two-hybrid analysis we demonstrate direct HEN1 interactions, mediated by its FK506-binding protein-like domain and R2 domain, with the microRNA biogenesis protein HYL1. Furthermore, we find that HEN1 forms a complex with DICER-LIKE 1 (DCL1) ribonuclease, another key protein involved in miRNA biogenesis machinery. In contrast, no direct interaction is detectable between HEN1 and SERRATE. On the basis of these findings, we propose a mechanism of plant miRNA maturation which involves binding of the HEN1 methyltransferase to the DCL1•HYL1•miRNA complex excluding the SERRATE protein

Selective chemical tracking of Dnmt1 catalytic activity in live cells

Enzymatic methylation of cytosine to 5-methylcytosine in DNA is a fundamental epigenetic mechanism involved in mammalian development and disease. DNA methylation is brought about by collective action of three AdoMet-dependent DNA methyltransferases, whose catalytic interactions and temporal interplay are poorly understood. We used structure-guided engineering of the Dnmt1 methyltransferase to enable catalytic transfer of azide tags onto DNA from a synthetic cofactor analog, Ado-6-azide, in vitro. We then CRISPR-edited the Dnmt1 locus in mouse embryonic stem cells to install the engineered codon, which, following pulse internalization of the Ado-6-azide cofactor by electroporation, permitted selective azide tagging of Dnmt1-specific genomic targets in cellulo. The deposited covalent tags were exploited as "click" handles for reading adjoining sequences and precise genomic mapping of the methylation sites. The proposed approach, Dnmt-TOP-seq, enables high-resolution temporal tracking of the Dnmt1 catalysis in mammalian cells, paving the way to selective studies of other methylation pathways in eukaryotic systems

Selective Covalent Labeling of miRNA and siRNA Duplexes Using HEN1 Methyltransferase

MicroRNAs regulate gene expression in numerous biological pathways and are typically methylated at their 3′-termini in plants but not in animals. Here we show that the HEN1 RNA 2′-O-methyltransferase from Arabidopsis thaliana catalyzes the transfer of extended propargylic moieties from synthetic AdoMet cofactor analogs to duplex miRNAs or siRNAs. The presented approach permits selective and efficient covalent labeling of small RNA duplexes with a variety of functional or reporter groups for their enrichment and analysis