An RNA-centric view of the cell surface…

 

RNA glycosylation

Glycans are the fourth fundamental biopolymer, next to proteins, polynucleotides, and polyalkanes (lipids). In mammals, they are composed of roughly 10 monomeric carbohydrate units, which are strung together and appended to proteins or lipids. Just like RNA, glycans are present in every cell studied to date, across the kingdoms of life. They perform a myriad of essential functions, especially in the context of cell surface events, where complex glycans facilitate the folding and purposeful trafficking of proteins and lipids for secretion or membrane presentation. Thus, processes such as embryogenesis, host-pathogen recognition, and tumor-immune interactions rely on proper glycosylation.

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We have recently made the surprising observation that specific RNAs in mammalian cells are modified with glycans (Flynn et al., bioRxiv 2019 + Cell 2021). Chemical, genetic, and metabolic labeling (Ac4ManNAz) coupled bioorthogonal chemistry revealed sialylated glycans are conjugated to RNAs in mammalian cells. We term these conjugates glycoRNAs. The glycoRNA conjugate is present in all cell types and tissues tested across human, mouse, and hamster. Sequencing revealed a distinct set of small RNAs including Y RNAs, small nuclear RNAs, and small nucleolar RNAs as modified putatively at guanosine. Chemical, genetic, and enzymatic approaches revelated that sialylated N-glycans, produced by the oligosaccharyltransferase (OST) complex in the ER lumen, modify these RNA transcripts. More recently, we have established that sialoglycoRNAs cover the surface of mammalian cells, and are able to interact with immunomodulatory receptors (e.g. Siglecs). Overall, these findings point to a common strategy for RNA glycosylation and possible roles in cell communication and signaling in mammals.

Methods to detect sialoglycoRNAs

Metabolic chemical reporters enabled the discovery of glycoRNAs (noted above), however they have certain limitations due the requirement of having living cells to incorporate the modified sugar. Recently we have developed a periodate oxidation and aldehyde ligation method to detect and characterize native sialoglycoRNAs, termed rPAL. During the course of evaluating rPAL, we found it is at least an order of magnitude more sensitive than previous methods for detecting sialoglycoRNAs. These improvements allow rPAL to detect sialoglycoRNA from human clinical samples and FACS-sorted populations of peripheral blood mononuclear cells. The sensitivity, robustness, and flexibility of rPAL will allow greater access towards characterizing glycoRNA biology.

Molecular details of the virus-host interface

Viral infections remain a significant and persistent strain on healthcare systems worldwide. The mosquito-borne dengue virus (DENV), a member of flaviviridae family, infects nearly 100 million people per year. Additionally, Zika virus (ZIKV) has recently emerged as a cause of severe congenital anomalies in the unborn fetuses of infected mothers. Despite the burden of these diseases, few therapeutic and diagnostic options exist to treat and detect them.

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Biogenesis of flaviviral proteins occurs at the endoplasmic reticulum (ER) membrane and is translated from the ~11 kilobase DENV or ZIKV genomic RNAs. Viral RNA-protein interactions are essential to recruit and retain the viral gRNA to these ER sites and to mobilize cellular factors required for translation, replication, packaging, and in some cases has been proposed to be an important determinant of tissue tropism. We use technologies such as ChIRP-MS to comprehensively identify cellular RNA binding proteins that associate with viral genomic RNAs. Combining these interactome data with genome-scale CRISPR-KO screens, in collaboration with the Carette lab at Stanford, facilities the identification of new and functional host proteins impacting viral biology. Insights from these studies has shed light on to specific ER RBPs that control the flaviviral life cycle as well as critical host translation of membrane and secreted proteins.

 
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RNA-protein interactions — RNA helicases

DEAD-box RNA helicases are a large group (>20 in the family) of ATP-dependent enzymes that can unwind RNA duplexes. These helicases have been functionally implicated in nearly every step of RNA metabolism, from transcription and splicing, to translation and RNA degradation. In collaboration with the Wysocka lab at Stanford and the Calo lab at MIT, we uncovered DDX21 as a central regulator of ribosomal biogenesis in both the nucleolus and nucleoplasm. DDX21 acts to enhance Pol I transcription and subsequently controls post-transcriptional methylation of the ribosomal RNA. Additionally, it positively regulates Pol II transcription at ribosomal protein genes via the 7SK snRNA as a P-TEFb release factor. What regulates the localization and activity of DDX21 remains an active area of research.

Exploration of additional DEAD-box proteins, and related RNA helicases, will provide key insights into the basic RNA-centric pathways. Efforts to understand which RNAs are targeted, the functional role for specific helicases, and the post-translational regulation of helicase are actively being pursued.

 
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RNA structure

RNA adopts complex physical conformations that control its function. Thus, our ability to determine the role RNA molecules play in biology is gated by our capacity to define the structural features of RNA, an in particular those features in the complex milieu of a living cell. Studying RNA structure is enable by new chemical tools coupled to deep sequencing technologies. in vivo CLICK Selective 2’ Hydroxyl Acylation and Profiling Experiment (icSHAPE) uses an azide-functionalize electrophilic reagent to read out nucleobase reactivity which is related to its single-strandedness. Psoralen Analysis of RNA Interactions by Sequencing (PARIS, and other psoralen-based technologies) directly identifies RNA duplexes that are generated from intra- or intermolecular RNA interactions. Together with the Spitale Lab at UCI, we are integrating icSHAPE, PARIS, and other structural techniques to develop an unbiased view into the complexities of the cellular transcriptome.