Tracking the Message: Applying Single Molecule Localization Microscopy to Cellular RNA Imaging.

RNA function is increasingly appreciated to be more complex than merely communicating between DNA sequence and protein structure. RNA localization has emerged as a key contributor to the intricate roles RNA plays in the cell, and the link between dysregulated spatiotemporal localization and disease warrants an exploration beyond sequence and structure. However, the tools needed to visualize RNA with precise resolution are lacking in comparison to methods available for studying proteins. In the past decade, many techniques have been developed for imaging RNA, and in parallel super resolution and single-molecule techniques have enabled imaging of single molecules in cells. Of these methods, single molecule localization microscopy (SMLM) has shown significant promise for probing RNA localization. In this review, we highlight current approaches that allow super resolution imaging of specific RNA transcripts and summarize challenges and future opportunities for developing innovative RNA labeling methods that leverage the power of SMLM.

Harnessing Nature's Molecular Recognition Capabilities to Map and Study RNA Modifications.

RNA editing or "epitranscriptomic modification" refers to the processing of RNA that occurs after transcription to alter the sequence or structure of the nucleic acid. These chemical alterations can be found on either the ribose sugar or the nucleobase, and although many are "silent" and do not change the Watson-Crick-Franklin code of the RNA, others result in recoding events. More than 170 RNA modifications have been identified so far, each having a specific biological purpose. Additionally, dysregulated RNA editing has been linked to several types of diseases and disorders. As new modifications are discovered and our understanding of their functional impact grows, so does the need for selective methods of identifying and mapping editing sites in the transcriptome.The most common methods for studying RNA modifications rely on antibodies as affinity reagents; however, antibodies can be difficult to generate and often have undesirable off-target binding. More recently, selective chemical labeling has advanced the field by offering techniques that can be used for the detection, enrichment, and quantification of RNA modifications. In our method using acrylamide for inosine labeling, we demonstrated the versatility with which this approach enables pull-down or downstream functionalization with other tags or affinity handles. Although this method did enable the quantitative analysis of A-to-I editing levels, we found that selectivity posed a significant limitation, likely because of the similar reactivity profiles of inosine and pseudouridine or other nucleobases.Seeking to overcome the inherent limitations of antibodies and chemical labeling methods, a more recent approach to studying the epitranscriptome is through the repurposing of proteins and enzymes that recognize modified RNA. Our laboratory has used Endonuclease V, a repair enzyme that cleaves inosine-containing RNAs, and reprogrammed it to instead bind inosine. We first harnessed EndoV to develop a preparative technique for RNA sequencing that we termed EndoVIPER-seq. This method uses EndoV to enrich inosine-edited RNAs, providing better coverage in RNA sequencing and leading to the discovery of previously undetected A-to-I editing sites. We also leveraged EndoV to create a plate-based immunoassay (EndoVLISA) to quantify inosine in cellular RNA. This approach can detect differential A-to-I editing levels across tissue types or disease states while being independent of RNA sequencing, making it cost-effective and high-throughput. By harnessing the molecular recognition capabilities of this enzyme, we show that EndoV can be repurposed as an "anti-inosine antibody" to develop new methods of detecting and enriching inosine from cellular RNA.Nature has evolved a plethora of proteins and enzymes that selectively recognize and act on RNA modifications, and exploiting the affinity of these biomolecules offers a promising new direction for the field of epitranscriptomics.

4-Hydroxynonenal and 4-Oxononenal Differentially Bind to the Redox Sensor MitoNEET.

MitoNEET is a CDGSH iron-sulfur protein that has been a target for drug development for diseases such as type-2 diabetes, cancer, and Parkinson's disease. Functions proposed for mitoNEET are as a redox sensor and regulator of free iron in the mitochondria. We have investigated the reactivity of mitoNEET toward the reactive electrophiles 4-hydroxynonenal (HNE) and 4-oxononenal (ONE) that are produced from the oxidation of polyunsaturated fatty acid during oxidative stress. Proteomic, electrophoretic, and spectroscopic analysis has shown that HNE and ONE react in a sequence selective manner that was unexpected considering the structure similarity of these two reactive electrophiles.

Spatial visualization of A-to-I Editing in cells using Endonuclease V Immunostaining Assay (EndoVIA).

Adenosine-to-Inosine (A-to-I) editing is one of the most widespread post-transcriptional RNA modifications and is catalyzed by adenosine deaminases acting on RNA (ADARs). Varying across tissue types, A-to-I editing is essential for numerous biological functions and dysregulation leads to autoimmune and neurological disorders, as well as cancer. Recent evidence has also revealed a link between RNA localization and A-to-I editing, yet understanding of the mechanisms underlying this relationship and its biological impact remains limited. Current methods rely primarily on in vitro characterization of extracted RNA that ultimately erases subcellular localization and cell-to-cell heterogeneity. To address these challenges, we have repurposed Endonuclease V (EndoV), a magnesium dependent ribonuclease that cleaves inosine bases in edited RNA, to selectively bind and detect A-to-I edited RNA in cells. The work herein introduces Endonuclease V Immunostaining Assay (EndoVIA), a workflow that provides spatial visualization of edited transcripts, enables rapid quantification of overall inosine abundance, and maps the landscape of A-to-I editing within the transcriptome at the nanoscopic level.