Search bioRxiv⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.64898/2026.10.15.756239

A qualitative and quantitative framework for the characterization of protein-RNA interactions by cross-linking mass spectrometry (XL-MS)

Smok, I.·Zbinden, A.·Osterroth, J.·Jiang, J.·Allain, F. H.- T.·Hall, J.·Polymenidou, M.·Leitner, A.
View original source ↗Export metadata ↓

Abstract

Protein-RNA interactions regulate nearly all levels of gene expression. Their characterization at the molecular basis is critical for understanding the function of protein-RNA complexes, both in cell homeostasis and pathology. Yet, molecular interactions underlying the formation of these complexes remain understudied. UV cross-linking mass spectrometry (XL-MS) is one of the leading approaches for in vitro identification of protein-RNA contact sites, and for providing structural information in the form of distance constraints crucial for the refinement of structural models. Our previously published CLIR-MS method enables qualitative characterization of protein-RNA interactions at residue-specific resolution but was not designed for highly accurate quantitative interpretation. Here, we present a XL-MS workflow based on irradiation with UV light that combines data-dependent acquisition (DDA) and parallel reaction monitoring (PRM) for simultaneous detection and characterization of protein-RNA interaction sites at residue-specific resolution, followed by label-free quantification of cross-linked products. We successfully apply our combined workflow to in vitro reconstituted protein-RNA complexes formed by the proteins TDP-43 and FOX1. We report on novel RNA interaction sites located in the oligomerization interface of the N-terminal domain (NTD) of TDP-43, and characterize quantitatively the process of RNA-induced monomerization of the NTD in an RNA titration experiment. We also investigate temperature-dependent differences in the efficiency of cross-link formation in the FOX1 complex. Our framework offers a unique and novel approach to comparative quantification of protein-RNA cross-links, overcoming the limitations imposed by conventional UV XL-MS methods.

Explore related subjects

biophysicsPreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Smok, I., Zbinden, A., Osterroth, J., Jiang, J., Allain, F. H.- T., Hall, J., Polymenidou, M., Leitner, A.. 2026-10-19. A qualitative and quantitative framework for the characterization of protein-RNA interactions by cross-linking mass spectrometry (XL-MS). https://doi.org/10.64898/2026.10.15.756239

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

Cancers relax selection on charge at the mitochondrial complex I quinone cavity

Mitochondrial complex I translocates protons through hydrated channels whose connectivity and electrostatics are both defined by structure, but whether they are distinctly constrained is unknown. From a 2.39 cryo-EM structure modelling 2,945 ordered waters, we built the proton wire of the seven mtDNA-encoded ND subunits and scored all 40,166 missense substitutions on two near-orthogonal axes (r = 0.17): electrostatic shift at proton-loading sites, and topological disruption of the wire. Across 858 germline variant sites, loading sites (0.51) and cut vertices (0.67) are both depleted. In tumours only loading sites are enriched (1.42 TCGA, 1.67 PCAWG, 1.29 MSK-IMPACT), a 3.06-fold difference tested as a wire class tissue-type interaction (P = 3.6 10-). It survives adjustment for conservation, burial and coverage, and is concentrated in ND1 within 15 of the quinone cavity, not spread along the proton path. Selection separates charge from connectivity, without establishing a fitness benefit.

biophysics↗
bioRxiv2026

Rugnux: from diffraction images to structure at synchrotrons and XFELs in one program

Rising data rates in macromolecular crystallography outpace multi-program pipelines on computing clusters. Rugnux, a single GPU-accelerated program, turns rotation or serial still diffraction images into merged data and an initial structure. At synchrotrons, results arrive seconds after the last image; on one workstation, 207 public datasets from 36 sources took a median of 15 s each, with deposition-quality. Serial XFEL data were processed faster than the collection rate, enabling real-time structure determination.

biophysics↗
bioRxiv2026

Phase Separation of Intracellular Proteins Influences Synaptic Bistability

Synaptic bistability at the post synaptic density has been proposed to be the result of the nucleation and evaporation of receptor clusters. The exact biophysical mechanism underlying these inter-receptor attractions that can trigger nucleation remains to be elucidated. Emerging evidence demonstrates that numerous postsynaptic density submembrane proteins, that interact with various membrane receptors, can undergo phase separation, necessitating a revised conceptual model. By employing Langevin dynamics simulations of coarse-grained scaffold proteins and interacting membrane receptors, we study how phase transitions of scaffold proteins alter receptor clustering at the membrane. In our model, scaffold macromolecules can undergo phase separation and interact with receptor molecules at the model membranes. We observed that the presence of scaffold polymers across the membrane creates an attractive interaction between otherwise purely repulsive receptors. By systematically varying the number of receptors at the membrane, we dissected the coupling between receptor clustering and the phase behavior of scaffold macromolecules. We show that the propensity for receptor clustering is enhanced by the condensation of scaffold proteins. We then used two different scaffolds and systematically varied the interaction between them, to change the spatial organization of two condensed phases w.r.t. one another. Interestingly, we observed that receptor clustering can be reduced by co-phase separation of scaffold macromolecules, indicating the role of competing interactions in receptor clustering. Our work advances understanding of receptor-mediated signaling and phase separation, providing insights into cellular compartmentalization and biochemical regulation at the synapse.

biophysics↗