Biology subjects

Stelzl, L. S.

Publications and source records attributed to Stelzl, L. S..

17 recordsLinked to original sources

bioRxiv2026

Kinase-phosphatase cycles drive self-sustained oscillations of protein condensates

Phase-separated protein condensates organize biochemical processes in cells. ATP-driven enzymatic reactions can change the physical properties and even trigger the dissolution of such condensates. Here we use molecular simulations to show how ATP-driven kinase and phosphatase reactions modulate the organization of TDP-43 low complexity domain (LCD) condensates. TDP-43 phosphorylation is enhanced by condensation, as CK1{delta} preferentially binds to and acts in TDP-43 LCD condensates, whereas dephosphorylation by the phosphatase calcineurin occurs predominantly in the dilute phase. This differential recruitment of kinases and phosphatases, together with the slow redistribution of kinases into newly formed condensates, triggers oscillatory appearance and disappearance of TDP-43 LCD condensates. The oscillations are self-sustained, persisting at constant chemical driving, showing that an antagonistic kinase-phosphatase pair can endow a condensate with autonomous dynamics rather than only setting its structure.

biophysics↗

bioRxiv2026

Active Learning-Guided Peptide Design for Modulating Condensate Properties upon Recruitment

The physical properties of biomolecular condensates, which form through phase separation, are central to their organisation and function and are increasingly implicated in disease mechanisms. To function correctly, condensates often recruit client biomolecules such as peptides and RNAs. This recruitment is not only essential to condensate biology but also offers an opportunity to engineer clients that tune the material properties of the condensate. Here we studied the previously characterised MUT-16 condensate, the scaffold of a membraneless organelle in C. elegans that recruits the N-terminal prion-like domain of MUT-8, a process essential for RNA silencing. We used coarse-grained molecular dynamics simulations to model and design peptide variants that interact with the scaffold protein MUT-16 and modulate its physical properties. To guide this design efficiently, we applied an active learning framework, which combines Bayesian optimization with neural networks to iteratively select the most informative peptide variants for simulation. This strategy reduced the number of simulations required while allowing the model to learn the sequence-property relationships that govern condensate behavior. Overall, this physics-based, learning-guided framework offered a computational approach to exploring how peptides can be engineered to influence condensate properties, and may inform the rational design of synthetic condensates.

bioengineering↗

bioRxiv2026

TDP-43 self-assembly is regulated by its disordered NLS-region

Cytosolic inclusions of the RNA-binding protein TDP-43 are a pathological hallmark of several neurodegenerative diseases, such as amyotrophic lateral sclerosis and frontotemporal dementia. Cellular or animal model systems often use TDP-43 mutated in its nuclear localization signal (NLS) to study its cytosolic mislocalization and aggregation. Here we show that the disordered NLS-region, in particular the basic amino acids, are crucial for self-assembly of full-length TDP-43 across size scales, ranging from small clusters to visible condensates and aggregates. Molecular dynamics simulations and NMR studies suggest that the NLS-region engages in inter-chain interactions with C-terminal aromatic residues as well as RRM1 and NTD interactions. We further demonstrate that a minimal NLS mutation (K82A) preserves TDP-43 condensation in vitro and in cells, while commonly used NLS mutations yield partially or strongly reduced self-assembly behaviors. Our data highlight TDP-43 K82A as ideal model system to study cytosolic TDP-43 aggregation in cell and animal models.

biochemistry↗

bioRxiv2026

Multi-Domain Interplay Controls Full-Length TDP-43 Phase Separation and Condensate Dynamics

TDP-43 (TAR DNA-binding protein 43) is a 414-amino acid protein with a structured N-terminal domain (NTD), two RNA recognition motifs (RRM1 and RRM2), and a long disordered C-terminal low complexity domain (LCD). TDP-43 forms phase-separated condensates as part of its physiological function in RNA processing. However, aberrant TDP-43 condensation, changes in condensate material properties, and subsequent aggregation are linked to the development of neurodegenerative diseases. Using explicit-solvent, near-atomic resolution coarse-grained simulations we demonstrate how the interplay among different domains drives phase separation of the full-length protein.We directly capture how the secondary structure of a conserved helix in the LCD modulates phase separation, and follow the effect of phosphomimicking mutations on the condensation of full-length TDP-43. C-terminal phosphomimicking mutations rewire the interactions of the LCD by increasing solvation locally and enhancing Na+ binding to the LCD. Our simulations and in vitro experiments emphasize the importance of the aromatic residues in the LCD but also of N-terminal residues 1-101 including the NTD for full-length TDP-43 condensation. With a G[o]-type approach we capture not just conformational flexibility but also specific dimer formation through NTD-NTD interactions and how they modulate the phase behavior as well as the dynamic and interfacial properties of full-length TDP-43 condensates.

biophysics↗

bioRxiv2026

Atomistic simulations reveal sub-μs contact dynamics in MUT-16 condensates.

Phase separation of proteins gives rise to biomolecular condensates, which function as membraneless organelles that spatially and temporally organize cellular functions. Such condensates are often formed by intrinsically disordered regions of proteins (IDRs), whose multivalent and transient interactions govern condensate structure and dynamics. However, elucidating the molecular determinants of these interactions at atomistic resolution remains challenging. Here, we present a total of 10 {micro}s of atomistic molecular dynamics simulations of a phase-separated condensate formed by the foci-forming region (FFR) of MUT-16. MUT-16 serves as a scaffold of the Mutator foci germ granules in Caenorhabditis elegans and is essential for transposon silencing. MUT-16 FFR is enriched in polar uncharged (Gln, Asn), charged, aromatic, and Pro residues, raising the question of how these amino acids interact within condensates. We find that most contacts are short lived, typically breaking within a few nanoseconds (ns), with a median life time of 9.8 ns. A smaller fraction persist for much longer timescales (> 100 ns). We characterized the relative contributions of different amino acids and specific interaction types, including hydrogen bonding, cation-{pi} interactions,{pi} -{pi} stacking, and salt bridges and theirs dynamics. We further examined the roles of water and ions in modulating condensate interactions, including ion-mediated bridging between similarly charged residues. Our results reveal that salt bridges, cation-{pi} interactions, Na+ ions, and water in the condensate are key determinants of contact dynamics in MUT-16 FFR condensates. In parallel, we show that these condensates exhibit upper-critical solution temperature (UCST) phase behavior in vitro, providing a coherent framework to explain both the loss of Mutator foci at elevated temperatures in vivo and the scaffolding role of MUT-16 at lower temperatures.

biochemistry↗

bioRxiv2025

Bidirectional control of a metabolic transition by the GID ubiquitin ligase

The GID/CTLH ubiquitin ligase is a multisubunit E3 conserved across eukaryotes. GID/CTLH has been implicated in a variety of processes, including metabolic regulation, cell proliferation, embryonic development and cell differentiation. However, our understanding of substrate recognition by GID/CTLH remains incomplete. Here, we characterize the regulation, specificity and functions of the putative substrate receptor Gid11 in budding yeast. We find that upon its expression during the switch of carbon source from glucose to ethanol, Gid11 associates with the core GID complex, likely forming a large ring assembly. Through systematic mutagenesis, we identify a negatively charged pocket on Gid11 that binds substrates carrying N-terminal degrons starting with threonine and define the Thr/N-degron motif. Such Thr/N-degrons are exposed upon co-translational removal of the initiator methionine, while escaping N-terminal acetylation. Finally, we show that during the switch to ethanol, GIDGid11 targets for degradation factors linked to glycolysis, opposing the established role of GID in the degradation of gluconeogenic enzymes during the reverse switch from ethanol to glucose. Taken together, our results establish Gid11 as a bona fide GID substrate receptor and highlight GID as a regulator of metabolic transitions.

molecular biology↗

bioRxiv2024

Multiscale simulations of molecular recognition by phase separated MUT-16: A scaffolding protein of Mutator foci

Phase separation of proteins plays a critical role in cellular organisation. How phase separated protein condensates underpin biological function and how condensates achieve specificity remain elusive. We investigated the phase separation of MUT-16, a scaffold protein in Mutator foci, and its role in recruiting the client protein MUT-8, a key component in RNA silencing in C. elegans. We employed a multiscale approach that combined coarse-grained (residue-level CALVADOS2 and near-atomistic Martini3) and atomistic simulations. Simulations across different resolutions provide a consistent perspective on how MUT-16 condensates recruit MUT-8, enabling the fine-tuning of chemical details while balancing the computational cost. Both coarse-grained models (CALVADOS2 and Martini3) predicted the relative phase separation propensities of MUT-16s disordered regions, which we confirmed through in vitro experiments. Simulations also identified key sequence features and residues driving phase separation while revealing differences in residue interaction propensities between CALVADOS2 and Martini3. Furthermore, Martini3 and 350 {micro}s atomistic simulations on Folding@Home of MUT-8s N-terminal prion-like domain with MUT-16 M8BR cluster highlighted the importance of cation-{pi} interactions between Tyr residues of MUT-8 and Arg residues of MUT-16 M8BR. Lys residues were observed to be more prone to interact in Martini3. Atomistic simulations revealed that the guanidinium group of Arg also engages in sp2-{pi} interactions and hydrogen bonds with the backbone of Tyr, making Arg-Tyr interactions stronger than Lys-Tyr, where these additional favourable contacts are absent. In agreement with our simulations, in vitro co-expression pulldown experiments demonstrated a progressive loss of MUT-8 recruitment following the mutation of Arg in MUT-16 M8BR to Lys or Ala, confirming the critical role of Arg in this interaction. These findings advance our understanding of MUT-16 phase separation and subsequent MUT-8 recruitment, key processes in assembling Mutator foci that drive RNA silencing in C. elegans. Statement of SignificanceIn cells proteins phase separate and form condensates. These protein condensates can play important role in bringing molecules together and facilitate biochemical processes. In this work, we used molecular dynamics simulations to understand how MUT-16 phase separates and forms the scaffold of the so-called Mutator focus. Mutator foci produce small RNA which help to regulates genes. As the scaffold of the Mutator focus, MUT-16 recruit multiple proteins which are important for the production of such small RNAs.

bioinformatics↗

bioRxiv2024

Conditions for the co-existence of promoter and gene-body condensates

In cells, transcription is tightly regulated on multiple layers. The condensation of the transcription machinery into distinct phases is hypothesised to spatio-temporally fine tune RNA polymerase II behaviour during two key stages, transcription initiation and the elongation of the nascent RNA transcripts. However, it has remained unclear whether these phases would mix when present at the same time or remain distinct chemical environments; either as multi-phase condensates or by forming entirely separate condensates. Here we combine particle-based multi-scale simulations and experiments in the model organism C. elegans to characterise the biophysical properties of RNA polymerase II condensates. Both simulations and the in vivo work describe a lower critical solution temperature (LCST) behaviour of RNA Polymerase II, with condensates dissolving at lower temperatures whereas higher temperatures promote condensate stability. Importantly this gradual change in temperature correlates with an incremental transcriptional response to temperature, but is largely uncoupled from the classical stress response. The LCST behaviour of CTD also highlights that these condensates are physio-chemically distinct from heterochromatin condensates. Expanding the simulations we model how the degree of phosphorylation of the disordered C-terminal domain of RNA polymerase II (CTD), which is characteristic for each step of transcription, controls demixing of CTD and pCTD in line with phase separation experiments. We show that the two phases putatively underpinning the initiation of transcription and transcription elongation constitute distinct chemical environments and are in agreement with RNA polymerase II condensates observed in C. elegans embryos by super resolution microscopy. Our analysis reveals how depending on its post-translational modifications and its interaction partners a single protein can adopt multiple morphologies and how partially engulfed condensates promote the selective recruitment of additional factors to the different phases.

biophysics↗

bioRxiv2023

Hierarchical assembly of single-stranded RNA

Single-stranded RNA (ssRNA) plays a major role in the flow of genetic information- most notably in the form of messenger RNA (mRNA)-and in the regulation of biological processes. The highly dynamic nature of chains of unpaired nucleobases challenges structural characterizations of ssRNA by experiments or molecular dynamics (MD) simulations alike. Here we use hierarchical chain growth (HCG) to construct ensembles of ssRNA chains. HCG assembles the structures of protein and nucleic acid chains from fragment libraries created by MD simulations. Applied to homo- and heteropolymeric ssRNAs of different lengths, we find that HCG produces structural ensembles that overall are in good agreement with diverse experiments including nuclear magnetic resonance (NMR), small-angle X-ray scattering (SAXS), and single-molecule Forster resonance energy transfer (FRET). The agreement can be further improved by ensemble refinement using Bayesian inference of ensembles (BioEn). HCG can also be used to assemble RNA structures that combine base-paired and unpaired regions, as illustrated for the 51 untranslated region (UTR) of SARS-CoV-2 mRNA.

biophysics↗

bioRxiv2022

Molecular determinants of dynamic protein-protein interactions in the functional cycle of the membrane protein DsbD

Molecular recognition is of central importance in biology. The molecular determinants shaping recognition of one protein domain by another are incompletely understood, especially in the context of the complex function of molecular machines. Here, we combine NMR experiments and molecular dynamics simulations to elucidate the determinants of recognition of the C-terminal (cDsbD) domain of the transmembrane reductant conductor DsbD by its cognate partner, the N-terminal domain of the protein (nDsbD). As part of the natural cycle of this oxidoreductase, which effectively transfers electrons from the cytoplasm to the periplasm of Gram-negative bacteria, cDsbD and nDsbD toggle between oxidised and reduced states, something that modulates the affinity of the domains for each other and prevents otherwise unproductive reactions. We find that the redox state of cDsbD determines the dissociation rate of cDsbD-nDsbD complexes. Molecular dynamics simulations demonstrate how the redox-state of the active site determines the stability of inter-domain hydrogen bonds and thus the dissociation rate. AlphaFold modelling and atomistic molecular dynamics simulations of full-length DsbD in a realistic bacterial membrane again highlights the close proximity of the periplasmic domains and the importance of tuning the strength of the interactions of the periplasmic domains to enable electron transfer to cognate periplasmic partners such as CcmG. Our AlphaFold models are consistent with in vivo functional assays of DsbD mutants, which together help to reveal for the first-time a putative binding site for thioredoxin on the cytoplasmic side of DsbD.

biophysics↗

bioRxiv2022

Structural basis of substrate recognition by human tRNA splicing endonuclease TSEN

The heterotetrameric human transfer RNA (tRNA) splicing endonuclease (TSEN) catalyzes the excision of intronic sequences from precursor tRNAs (pre-tRNAs)1. Mutations in TSEN and its associated RNA kinase CLP1 are linked to the neurodegenerative disease pontocerebellar hypoplasia (PCH)2-8. The three-dimensional (3D) assembly of TSEN/CLP1, the mechanism of substrate recognition, and the molecular details of PCH-associated mutations are not fully understood. Here, we present cryo-electron microscopy structures of human TSEN with intron-containing pre-tRNATyrO_SCPLOWGTAC_SCPLOW and pre-tRNAArgO_SCPLOWTCTC_SCPLOW. TSEN exhibits broad structural homology to archaeal endonucleases9 but has evolved additional regulatory elements that are involved in handling and positioning substrate RNA. Essential catalytic residues of subunit TSEN34 are organized for the 3 splice site which emerges from a bulge-helix configuration. The triple-nucleotide bulge at the intron/3-exon boundary is stabilized by an arginine tweezer motif of TSEN2 and an interaction with the proximal minor groove of the helix. TSEN34 and TSEN54 define the 3 splice site by holding the tRNA body in place. TSEN54 adapts a bipartite fold with a flexible central region required for CLP1 binding. PCH-associated mutations are located far from pre-tRNA binding interfaces explaining their negative impact on structural integrity of TSEN without abrogating its catalytic activity in vitro10. Our work defines the molecular framework of pre-tRNA recognition and cleavage by TSEN and provides a structural basis to better understand PCH in the future.

biochemistry↗

bioRxiv2022

Single-chain and condensed-state behavior of hnRNPA1 from molecular simulations

Intrinsically disordered proteins (IDPs) are essential components for the formation of membraneless organelles, which play key functional and regulatory roles within biological systems. These complex assemblies form and dissolve spontaneously over time via liquid-liquid phase separation of IDPs. Mutations in their amino acid sequence can alter their phase behavior, which has been linked to the emergence of severe diseases such as cancer and neurodegenerative diseases including amyotrophic lateral sclerosis. In this work, we study the conformation and phase behavior of a low-complexity domain of heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1), using coarse-grained implicit solvent molecular dynamics simulations. We systematically analyze how these properties are affected by the number of aromatic residues within the examined sequences. We find a significant compaction of the chains and an increase in the critical temperature with increasing number of aromatic residues within the IDPs. Comparing single-chain and condensed state simulations, we find much more collapsed polymer conformations in the dilute systems, even at temperatures well above the estimated{theta} -temperature of the solution. These observations strongly support the hypothesis that aromatic residues play a dominant role for condensation, which is further corroborated by a detailed analysis of the intermolecular contacts, and conversely that important properties of condensates are captured in coarse-grained simulations. Interestingly, we observe density inhomogeneities within the condensates near criticality, which are driven by electrostatic interactions. Finally, we find that the relatively small fraction of hydrophobic residues in the IDPs results in interfacial tensions which are significantly lower compared to typical combinations of immiscible simple liquids.

biophysics↗

bioRxiv2021

Global Structure of the Intrinsically Disordered Protein Tau Emerges from its Local Structure

The paradigmatic disordered protein tau plays an important role in neuronal function and neurodegenerative diseases. To disentangle the factors controlling the balance between functional and disease-associated conformational states, we build a structural ensemble of the tau K18 fragment containing the four pseudorepeat domains involved in both microtubule binding and amyloid fibril formation. We assemble 129-residue-long tau K18 chains at atomic resolution from an extensive fragment library constructed with molecular dynamics simulations. We introduce a reweighted hierarchical chain growth (RHCG) algorithm that integrates experimental data reporting on the local structure into the assembly process in a systematic manner. By combining Bayesian ensemble refinement with importance sampling, we obtain well-defined ensembles and overcome the problem of exponentially varying weights in the integrative modeling of long-chain polymeric molecules. The resulting tau K18 ensembles capture nuclear magnetic resonance (NMR) chemical shift and J-coupling measurements. Without further fitting, we achieve excellent agreement with measurements of NMR residual dipolar couplings. The good agreement with experimental measures of global structures such as singlemolecule Forster resonance energy transfer (FRET) efficiencies is improved further by ensemble refinement. By comparing wild-type and mutant ensembles, we show that pathogenic single-point P301 mutations shift the population from the turn-like conformations of the functional microtubule-bound state to the extended conformations of disease-associated tau fibrils. RHCG thus provides us with an atomically resolved view of the population equilibrium between functional and aggregation-prone states of tau K18, and demonstrates that global structural characteristics of this intrinsically disordered protein emerge from its local structure.

biophysics↗

bioRxiv2021

Disease-linked TDP-43 hyperphosphorylation suppresses TDP-43 condensation and aggregation

Post-translational modifications (PTMs) have emerged as key modulators of protein phase separation and have been linked to protein aggregation in neurodegenerative disorders. The major aggregating protein in amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD), the RNA-binding protein TDP-43, is hyperphosphorylated in disease on several C-terminal serine residues, which is generally believed to promote TDP-43 aggregation. Here, we show that hyperphosphorylation by Casein kinase 1{delta} or C-terminal phosphomimetic mutations surprisingly reduce TDP-43 phase separation and aggregation and render TDP-43 condensates more liquid-like and dynamic. Multi-scale simulations reveal reduced homotypic interactions of TDP-43 low complexity domains through enhanced solvation of phosphomimetic residues. Cellular experiments show that phosphomimetic substitutions do not affect nuclear import or RNA regulatory functions of TDP-43, but suppress accumulation of TDP-43 in membrane-less organelles and promote its solubility in neurons. We propose that TDP-43 hyperphosphorylation may be a protective cellular response to counteract TDP-43 aggregation.

biochemistry↗

bioRxiv2020

Simulation of FUS protein condensates with an adapted coarse-grained model

Disordered proteins and nucleic acids can condense into droplets that resemble the membraneless organelles observed in living cells. MD simulations offer a unique tool to characterize the molecular interactions governing the formation of these biomolecular condensates, their physico-chemical properties, and the factors controlling their composition and size. However, biopolymer condensation depends sensitively on the balance between different energetic and entropic contributions. Here, we develop a general strategy to fine-tune the potential energy function for molecular dynamics simulations of biopolymer phase separation. We rebalance protein-protein interactions against solvation and entropic contributions to match the excess free energy of transferring proteins between dilute solution and condensate. We illustrate this formalism by simulating liquid droplet formation of the FUS low complexity domain (LCD) with a rebalanced MARTINI model. By scaling the strength of the nonbonded interactions in the coarse-grained MARTINI potential energy function, we map out a phase diagram in the plane of protein concentration and interaction strength. Above a critical scaling factor of c {approx} 0.6, FUS LCD condensation is observed, where = 1 and 0 correspond to full and repulsive interactions in the MARTINI model, respectively. For a scaling factor = 0.65, we recover the experimental densities of the dilute and dense phases, and thus the excess protein transfer free energy into the droplet and the saturation concentration where FUS LCD condenses. In the region of phase separation, we simulate FUS LCD droplets of four different sizes in stable equilibrium with the dilute phase and slabs of condensed FUS LCD for tens of microseconds, and over one millisecond in aggregate. We determine surface tensions in the range of 0.01 to 0.4mN/m from the fluctuations of the droplet shape and from the capillary-wave-like broadening of the interface between the two phases. From the dynamics of the protein end-to-end distance, we estimate shear viscosities from 0.001 to 0.02Pas for the FUS LCD droplets with scaling factors in the range of 0.625 to 0.75, where we observe liquid droplets. Significant hydration of the interior of the droplets keeps the proteins mobile and the droplets fluid.

biophysics↗

bioRxiv2019

Hierarchical Ensembles of Intrinsically Disordered Proteins at Atomic Resolution in Molecular Dynamics Simulations

Intrinsically disordered proteins (IDPs) constitute a large fraction of the human proteome and are critical in the regulation of cellular processes. A detailed understanding of the conformational dynamics of IDPs could help to elucidate their roles in health and disease. However the inherent flexibility of IDPs makes structural studies and their interpretation challenging. Molecular dynamics (MD) simulations could address this challenge in principle, but inaccuracies in the simulation models and the need for long simulations have stymied progress. To overcome these limitations, we adopt an hierarchical approach that builds on the \"flexible meccano\" model of Bernado et al. (J. Am. Chem. Soc. 2005, 127, 17968-17969). First, we exhaustively sample small IDP fragments in all-atom simulations to capture local structure. Then, we assemble the fragments into full-length IDPs to explore the stereochemically possible global structures of IDPs. The resulting ensembles of three-dimensional structures of full-length IDPs are highly diverse, much more so than in standard MD simulation. For the paradigmatic IDP -synuclein, our ensemble captures both local structure, as probed by nuclear magnetic resonance (NMR) spectroscopy, and its overall dimension, as obtained from small-angle X-ray scattering (SAXS) in solution. By generating representative and meaningful starting ensembles, we can begin to exploit the massive parallelism afforded by current and future high-performance computing resources for atomic-resolution characterization of IDPs.

biophysics↗

bioRxiv2019

Local frustration determines loop opening in protein-protein association

Local structural frustration, the existence of mutually exclusive competing interactions, may explain why some proteins are dynamic while others are rigid. Frustration is thought to underpin biomolecular recognition and the flexibility of protein binding sites. Here we show how a small chemical modification, the oxidation of two cysteine thiols to a disulfide bond, during the catalytic cycle of the N-terminal domain of the key bacterial oxidoreductase DsbD (nDsbD), introduces frustration ultimately influencing protein function. In oxidized nDsbD, local frustration disrupts the packing of the protective cap-loop region against the active site allowing loop opening. By contrast, in reduced nDsbD the cap loop is rigid, always protecting the active-site thiols from the oxidizing environment of the periplasm. Our results point towards an intricate coupling between the dynamics of the active-site cysteines and of the cap loop which modulates the association reactions of nDsbD with its partners resulting in optimized protein function.

biophysics↗