Biology subjects

Sostaric, N.

Publications and source records attributed to Sostaric, N..

6 recordsLinked to original sources

bioRxiv2026

Conformational selection and redox-dependent destabilization in the IspG-FldA electron transfer complex

Electron transfer between proteins is mediated by transient complexes that sample many binding orientations, only a subset productive. Protein electron carriers (PECs) form such complexes with diverse enzymes across central metabolism, yet no general framework predicts which PEC-enzyme pairs will function. A representative case is IspG, the iron-sulfur enzyme catalyzing the penultimate methylerythritol phosphate pathway reaction, whose [4Fe-4S] cluster must be reduced after each turnover by the Escherichia coli flavodoxin FldA. It is not known whether FldA engages the open (substrate-free) or closed (substrate-bound) conformation of IspG, or how the cofactor redox states shape their interaction. Using atomistic molecular dynamics with custom cofactor parameters, we find that FldA preferentially engages the open conformation, implying that reduction precedes substrate binding. A positively charged arginine patch anchors FldA, and a single residue, Tyr58, provides a short tunneling bridge to the cluster. Electron transfer then weakens this interface, driving the complex toward dissociation -- pointing to an intrinsic mechanism by which a PEC binds its targets transiently yet productively: conformational selection recruits the partner, and electron transfer releases it.

biophysics↗

bioRxiv2026

Decoding translational control by cis-regulatory elements and RNA binding proteins in human effector T cells

T cells are central players in killing virally infected and malignant cells. To achieve this, T cells depend on dynamic, tightly regulated alterations of the proteome. To decipher the rules instructing translation in T cells, we performed transcriptome and proteome analysis of polysome fractions from human effector CD8+ T cells. Transcriptome analysis informed on ribosomal occupancy of RNAs and uncovered the rapid and RNA-specific redistribution upon T cell activation. With machine learning, we identified RNA binding motifs that predict the RNA (re)distribution among the polysome fractions. Using matched proteome analysis, we identified polysome-associated RBPs and their swift shuttling across polysome fractions upon T cell activation. Integrating sequence feature analysis with polysome RBP localization uncovered PTBP1 as a positive translation regulator, through its interactions with cis-regulatory elements in 3'UTRs of target mRNAs. In conclusion, the multi-level analysis presented here identifies rules of selective translation control which shape the T cell proteome.

immunology↗

bioRxiv2025

Mapping the dynamic RNA binding proteome in human effector T 1 cells identifies differentiation and cytotoxicity regulators

RNA-binding proteins (RBPs) are key regulators of T cell function by controlling (m)RNA fate and fine-tuning protein expression dynamics. Dysregulated RBPs can drive immune diseases and malignancies, highlighting their potential as therapeutic targets. To achieve this, a systematic analysis of the dynamic RBP-RNA interactions is required. Here, we mapped the RNA-binding proteome in human T cells and measured its alterations upon T cell activation using orthogonal organic phase separation (OOPS), analysed with PROMOGEB, a Bayesian linear regression model. This approach uncovered the intricate RNA-binding dynamics of the RBProteome. Gene-editing of such dynamic RNA binders revealed that TUT1 (Star-PAP) maintains the integrity of the T cell differentiation program, and that mutating SF3A1 enhanced the cytotoxic molecule expression and thus target cell killing. Our work provides the most comprehensive analysis of the effector T cell RBProteome to date and shows the potential of identifying RBPs and their binding dynamics as therapeutic agents. TeaserOOPS analysed with PROMOGEB maps RBP dynamics in human Teff cells, identifying TUT1 and SF3A1 as regulators of T cell fidelity.

immunology↗

bioRxiv2025

A teneurin-3 microphthalmia mutation disrupts trans adhesion for specific alternative splicing isoforms

Microphthalmia (MCOP) is a developmental eye disorder in which one or both eyes are abnormally small. This condition is often accompanied by cognitive impairments. Teneurin-3, a cell adhesion molecule with important functions in axon pathfinding and synaptic organization, has been repeatedly implicated with MCOP, suggesting its potential role in the etiology of this complex developmental disorder. It was previously shown that two small alternatively spliced exons - inserts A and B - instigate large structural reorganizations of the teneurin-3 covalent homodimer. Here, we map the MCOP mutation R2579W to an intramolecular interface specific to splice insert A-containing isoforms. We demonstrate that the MCOP mutation leads to a loss of transcellular adhesion, predominantly affecting these isoforms. Using small-angle X-ray scattering we establish that, despite these functional disruptions, the structural compactness of all mutant isoforms is preserved. Molecular dynamics simulations predict a global stabilization of the A1 mutant molecule compared to its wildtype counterpart, due to changes in local compact dimer interactions around the mutated residue. We experimentally validate these findings with biophysical assays. With cryo-EM analysis, we confirm the overall compactness with reduced conformational flexibility and reveal that the mutant tryptophan binds to a hydrophobic pocket in the structure. With these data, we provide a model for how increased stability in cis disrupts trans oligomerization needed for cellular adhesion. Altogether, we demonstrate that the MCOP-associated mutation in teneurin-3 causally disrupts cellular adhesion in an isoform-specific manner, thereby likely directly contributing to the development of the disease in MCOP patients.

molecular biology↗

bioRxiv2024

Single molecule imaging of transcription dynamics, RNA localization and fate in T cells

T cells are critical effector cells against infections and malignancies. To achieve this, they produce pro-inflammatory cytokines, including IFN-{gamma} and TNF. Cytokine production is a tightly regulated process. The relative contribution of transcriptional and post-transcriptional regulation to mRNA expression is, however, unknown. We therefore optimized single-molecule FISH for primary human T cells (T-cell smFISH) to simultaneously quantify nascent RNA, mature mRNA levels and its localization with single-cell resolution. T-cell smFISH uncovered heterogeneous cytokine mRNA levels, with high cytokine producers displaying biallelic IFNG/TNF RNA transcription activity. Throughout activation, nuclear cytokine mRNAs accumulated, whereas cytoplasmic cytokine mRNA was degraded through translation-dependent decay. Lastly, T-cell smFISH uncovered cytokine-specific regulation by the RNA-binding protein HuR. Thus, T-cell smFISH provides novel insights in the intricate (post)-transcriptional processes in T cells.

immunology↗

bioRxiv2018

Large-scale docking predicts that sORF-encoded peptides may function through protein-peptide interactions in Arabidopsis thaliana

Several recent studies indicate that small Open Reading Frames (sORFs) embedded within multiple eukaryotic non-coding RNAs can be translated into bioactive peptides of up to 100 amino acids in size. However, the functional roles of the 607 Stress Induced Peptides (SIPs) previously identified from 189 Transcriptionally Active Regions (TARs) in Arabidopsis thaliana remain unclear. To provide a starting point for function annotation of these peptides, we performed a large-scale prediction of peptide binding sites on protein surfaces using and coarse-grained peptide docking. The docked models were subjected to further atomistic refinement and binding energy calculations. A total of 530 peptide-protein pairs were successfully docked. In cases where a peptide encoded by a TAR is predicted to bind at a known ligand or cofactor-binding site within the protein, it can be assumed that the peptide modulates the ligand or cofactor-binding. Moreover, we predict that several peptides bind at protein-protein interfaces, which could therefore regulate the formation of the respective complexes. Protein-peptide binding analysis further revealed that peptides employ both their backbone and side chain atoms when binding to the protein, forming predominantly hydrophobic interactions and hydrogen bonds. In this study, we have generated novel predictions on the potential protein-peptide interactions in A. thaliana, which will help in further experimental validation.\n\nAuthor summaryDue to their small size, short peptides are difficult to find and have been ignored in genome annotations. Only recently, we have realized that these short peptides of less than 100 amino acids may actually play an important role in the cell. Currently, there are no high-throughput methods to find out what the functions of these peptides are in contrast with efforts that exist for normalproteins. In this work, we try to fill this gap by predicting with which larger proteins, the short peptides might interact to exert their function. We find that many peptides bind to pockets where normally other proteins or molecules bind. We thus think that these peptides that are induced by stress, may regulate protein-protein and protein-molecule binding. We make this information available through our database ARA-PEPs so that individual predictions can be followed up.

bioinformatics↗