Recent discoveries have shown the presence of ribonucleic acid (RNA) on the cell surface, defying the view that RNA only functions intracellularly. However, how RNA is presented on the cell surface and what its biological relevance is are poorly understood. We established Toll-like receptor 7 (TLR7) as a cell-surface RNA (csRNA) probe. Employing it in a genome-wide knockout screening, we identified heparan sulfate (HS) as a crucial factor for csRNA presentation. Cell-surface proximity labeling revealed that HS-associated csRNAs (hepRNAs) are in the vicinity of RNA-binding proteins (RBPs). These observations led us to a model wherein cell-surface HS, RNA, and RBP form ternary complexes, validated by our spatio-selective RNA-protein crosslinking technology in a TLR7-orthogonal manner. We further revealed the identities of hepRNA and found that they can recruit the immune receptor killer cell immunoglobulin-like receptor 2DL5 (KIR2DL5), potentially enhancing receptor-ligand interactions. Employing human cell lines, our findings lay the groundwork for investigating how cell-surface ribonucleoproteins contribute to immune modulation.

A recent ground-breaking study suggested that small RNA from mammalian cells can undergo N-glycan modifications (termed glycoRNA)¹. The discovery relied upon a metabolic glycan labeling strategy in combination with commonly used phase-separation-based RNA isolation. Following the reported procedure, here we likewise identify an N-glycosylated species in the RNA fraction. However, our results suggest that the reported RNase sensitivity of the glycosylated species depends on the specific RNA purification method. This suggests the possibility of copurifying unexpected RNase-insensitive N-glycoconjugates during glycoRNA isolation. The co-existence of two independent, yet highly similar molecular entities, complicates biochemical assays on glycoRNA and calls for more specific approaches for glycoRNA analysis. To address this, we propose a control experiment that can help distinguish genuine glycoRNA species from copurified glycoconjugates.

Understanding the structure of biomolecules is vital for deciphering their roles in biological systems. Single-molecule techniques have emerged as alternatives to conventional ensemble structure analysis methods for uncovering new biology in molecular dynamics and interaction studies, yet only limited structural information could be obtained experimentally. Here, we address this challenge by introducing iMAX FRET, a one-pot method that allows ab initio 3D profiling of individual molecules using two-color FRET measurements. Through the stochastic exchange of fluorescent weak binders, iMAX FRET simultaneously assesses multiple distances on a biomolecule within a few minutes, which can then be used to reconstruct the coordinates of up to four points in each molecule, allowing structure-based inference. We demonstrate the 3D reconstruction of DNA nanostructures, protein quaternary structures, and conformational changes in proteins. With iMAX FRET, we provide a powerful approach to advance the understanding of biomolecular structure by expanding conventional FRET analysis to three dimensions.

The authors want to make the following corrections to this paper^[1]. In the section “Intracellular trafficking of EVs”, the citations after the sentence “Using another cell-free assay, Morandi et al. provided interesting insights into the process of endosomal fusion in EV cargo release”and “Murphy et al. tackled this question by comparing an FDA-approved cutting-edge lipid nanoparticle (LNP) formulation with EVs in terms of uptake and cargo (specifically gRNA) delivery” were missed. Correctly modify as follows: Using another cell-free assay, Morandi et al. provided interesting insights into the process of endosomal fusion in EV cargo release^[22,68,87]. Murphy et al. tackled this question by comparing an FDA-approved cutting-edge lipid nanoparticle (LNP) formulation with EVs in terms of uptake and cargo (specifically gRNA) delivery^[135]. Corresponding subsequent citation numbers also need to be adjusted: reference 140 is changed to reference 135, reference 135 is changed to reference 136, reference 136 is changed to reference 137, reference 137 is changed to reference 138, reference 138 is changed to reference 139, and reference 139 is changed to reference 140. We apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original article has been updated.

Extracellular vesicles (EVs) are natural micro-/nanoparticles that play an important role in intercellular communication. They are secreted by producer/donor cells and subsequent uptake by recipient/acceptor cells may result in phenotypic changes in these cells due to the delivery of cargo molecules, including lipids, RNA, and proteins. The process of endocytosis is widely described as the main mechanism responsible for cellular uptake of EVs, with endosomal escape of cargo molecules being a necessity for the functional delivery of EV cargo. Equivalent to synthetic micro-/nanoparticles, the properties of EVs, such as size and composition, together with environmental factors such as temperature, pH, and extracellular fluid composition, codetermine the interactions of EVs with cells, from binding to uptake, intracellular trafficking, and cargo release. Innovative assays for detection and quantification of the different steps in the EV formation and EV-mediated cargo delivery process have provided valuable insight into the biogenesis and cellular processing of EVs and their cargo, revealing the occurrence of EV recycling and degradation, next to functional cargo delivery, with the back fusion of the EV with the endosomal membrane standing out as a common cargo release pathway. In view of the significant potential for developing EVs as drug delivery systems, this review discusses the interaction of EVs with biological membranes en route to cargo delivery, highlighting the reported techniques for studying EV internalization and intracellular trafficking, EV-membrane fusion, endosomal permeabilization, and cargo delivery, including functional delivery of RNA cargo.