Biology subjects

Rappsilber, J.

Publications and source records attributed to Rappsilber, J..

At least 19 recordsLinked to original sources

bioRxiv2026

SERBP1 is a master regulator of ribosome interactions

Ribosome function depends on interactions with diverse proteins whose activities determine translational efficiency, impose quality control and activate signaling pathways. These many competing activities must in turn be regulated. SERBP1 is an abundant cellular factor that interacts with ribosomes at multiple functionally critical sites on both dormant and active ribosomes. Here, we perform mass spectrometry across sucrose gradients in untreated and stressed cells and find that SERBP1 modulates ribosome interactions with many factors involved in processes including mRNA degradation, translational control, ribosome quality control and ribosome degradation. We then define the role of SERBP1 in protection of ribosomes against selective 40S degradation in the context of mTOR inhibition through its competition with the E3 ligase RNF10 and the atypical kinase RIOK3. Our work reveals SERBP1 as a key player in maintaining ribosome subunit balance and more broadly in the regulation of diverse ribosome activities.

molecular biology↗

bioRxiv2026

KlinkPPI: Single Point of Access to Protein-Protein Interactions Across Databases

Protein-protein interaction (PPI) information is distributed across resources that differ in organism coverage, identifier systems, evidence models, confidence scores and access mechanisms, so assembling and comparing evidence for a protein requires source-specific queries, identifier conversion and extensive post-processing. We present KlinkPPI, a web server that retrieves, compares and exports PPI evidence from STRING, BioGRID, IntAct, CORUM, HuRI and Predictomes from a single query. KlinkPPI accepts UniProtKB accessions, NCBI Gene and Ensembl identifiers and gene names, and performs taxonomy-aware mapping to a common identifier space. Users can query individual proteins across all resources available for an organism, or retrieve organism-wide interaction sets. Results are presented per source so that database-specific evidence, annotations and confidence values are retained, while an integrated view exposes coverage and agreement between resources. KlinkPPI deliberately does not merge heterogeneous confidence scores, nor collapse functional associations, complex co-membership, binary interactions and structural predictions into a single consensus network. Results can be exported in PSI-MI TAB 2.8-compatible or Apache Parquet format with user-selected evidence fields. KlinkPPI is freely available at https://rappsilberlab.org/KlinkPPI/ and the source code at https://github.com/Rappsilber-Laboratory/KlinkPPI. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=110 SRC="FIGDIR/small/742057v1_ufig1.gif" ALT="Figure 1"> View larger version (16K): org.highwire.dtl.DTLVardef@12dcaceorg.highwire.dtl.DTLVardef@15d9d0aorg.highwire.dtl.DTLVardef@f0fc39org.highwire.dtl.DTLVardef@13f172e_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2026

SILAC-Site: A streamlined workflow for determining phosphopeptide stoichiometries

Mass spectrometry-based proteomics enables in-depth investigation of protein phosphorylation, quantifying tens of thousands of phosphosites per sample following phosphopeptide enrichment. However, critical information on phosphosite occupancy (stoichiometry) is typically lost during the phospho-enrichment process. Here, we introduce SILAC-Site, a SILAC-based fractionation-free and chemical labelling-free workflow for direct phosphosite stoichiometry evaluation using stable isotope labeling and phosphatase treatment. By acquiring treated or untreated peptides together with their heavy-labelled dephosphorylated counterparts within the same LC-MS runs, this approach provides internally controlled stoichiometry estimates compatible with high-throughput data-independent acquisition proteomics. Applying SILAC-Site to S. cerevisiae, we show that the majority of phosphopeptides identified only after enrichment possess low stoichiometries, and that inferred stoichiometry strongly correlates with the direct detection of phosphopeptides in samples without enrichment. Based on these findings, we propose the analysis of samples without enrichment as a simple complementary addition to a typical phosphoproteomics workflow, facilitating recovery of phosphorylation stoichiometry information.

biochemistry↗

bioRxiv2026

RapCluster: Bridging the Reproducibility Gap in Clustering Analysis

Clustering is ubiquitous across science, yet a text-mining audit of 736,399 open-access articles identified as using clustering (2000-2025) reveals common practice leaves key parameters undocumented or untuned, contributing to the reproducibility crisis in science. We developed an interactive web platform featuring 11 widely adopted clustering algorithms to enable transparent clustering analysis and reporting, aligning practical use with best practices in computational research. Code availabilityThe browser-based clustering analysis platform RapCluster is available for download at https://github.com/lutfia95/RapCluster under MIT License and accessible at https://rappsilberlab.org/rapcluster/ The web version is capacity-limited to 8 GB of memory (ca. 12,000 candidates with 130 features). All source codes used for the analysis are included with the publication.

bioinformatics↗

bioRxiv2026

The evolution of a Na+-sensitive Vibrio cholerae mutant unmasks the moonlighting aminopeptidase PepA as a regulator of nhaB Na+/H+ antiporter gene expression

The pathogenic bacterium Vibrio cholerae is native to seawater and can therefore be cultivated in nutrient media with increased salt concentration. To maintain osmotic balance, V. cholerae uses Na+/H+ antiporters and an Na+-translocating NADH:quinone oxidoreductase (Na+-NQR). The exact contribution of the various Na+/H+ antiporters to maintain Na+ and H+ homeostasis in V. cholerae is unclear. However, genetic studies indicate the major Na+/H+ antiporter NhaA and the Na+-NQR are required by the bacteria for Na+ resistance at alkaline conditions. Here we show that the growth defect of a V. cholerae nhaA nqr mutant at increased Na+ concentrations and alkaline pH is relieved by the rapid acquisition of suppressor mutations. The suppressor mutants could be assigned to two classes. We identified (i) mutations in the promoter of the nhaB gene encoding a Na+/H+ antiporter and (ii) mutations that either affect the expression level of the pepA gene or DNA binding activity of the encoded multifunctional aminopeptidase PepA. The characterization of the PnhaB and PpepA promoters of the suppressor mutants, membrane potential measurements and comparative proteome analyses identified PepA as a novel factor controlling Na+ homeostasis in V. cholerae. IMPORTANCEThe emergence and spread of multi-resistant bacteria are a major problem for humans and animals. Therefore, the identification of novel targets for the development of novel antibiotics to combat pathogenic bacteria is extremely important. Since sodium ion homeostasis is an essential process in many pathogenic bacteria, especially those living in marine environments, it represents an interesting target for antibiotics. The perturbation of sodium ion homeostasis does indeed impair the fitness of the human pathogenic bacterium Vibrio cholerae but can be restored by the rapid evolution of the bacteria. This suggests that inhibiting multiple targets with different antibiotics might be more effective in preventing the development of resistant bacteria.

microbiology↗

bioRxiv2025

Large-scale quantitative benchmark reveals accuracy limits of proteomics

Quantitative proteomics has become a streamlined method for high-throughput interrogation of biological samples, with a wide range of applications in both basic and clinical research. We present a benchmark data set and methodology for evaluating the accuracy of proteomics in a high-throughput setting. We build upon previous works by incorporating the variation of sample amounts and the background proteome into the experiment design. This approach allows us to comprehensively map the factors that determine the accuracy of proteomic measurements, revealing significant systematic errors missed by previous works. We envision these data to assist in future method optimisation as well as provide a comprehensive benchmark for data analysis software algorithms.

biochemistry↗

bioRxiv2025

MetaXtract: Extracting Metadata from Raw Files for FAIR Data Practices and Workflow Optimisation

Mass spectrometry (MS) experiments generate rich acquisition metadata that are essential for reproducibility, data sharing, and quality control (QC). Because these metadata are typically stored only in vendor-specific formats, they often remain difficult to access. MetaXtract is a lightweight tool that extracts detailed parameters directly from Thermo Fisher raw files and exposes them in structured, tabular formats. By capturing sample information, LC-MS method settings, and scan-level metrics such as retention time, total ion current, and ion injection time, MetaXtract increases transparency and ensures that essential acquisition details accompany published data and results in easy readable form. This supports FAIR data practices by improving the findability, accessibility, interoperability, and reusability of MS datasets after converting them to other formats, thereby increasing the value of deposition in public repositories. The importance of such metadata accessibility was recently highlighted by the crosslinking mass spectrometry community in efforts to advance FAIR data principles, and it extends to MS-based omics approaches more broadly. Importantly, MetaXtract enables search-free, near real-time performance monitoring by relying on acquisition-side signals, providing actionable indicators immediately after data acquisition rather than after database searching. This also caters for laboratory or depository internal streamlined QC and troubleshooting through integration into automated pipelines. By embedding acquisition parameters into routine data handling, MetaXtract strengthens reproducibility, optimises method development, and supports large-scale applications, including machine learning and secondary data analysis. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=195 HEIGHT=200 SRC="FIGDIR/small/687968v2_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@d835e6org.highwire.dtl.DTLVardef@babfaforg.highwire.dtl.DTLVardef@7e9d69org.highwire.dtl.DTLVardef@907993_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIMetadata extraction from Thermo Fisher raw files C_LIO_LIEnhanced findability, accessibility, interoperability, and reusability of deposited data C_LIO_LIIntegration into workflows via GUI and command-line modes C_LIO_LITroubleshooting support by visualizing MS1/MS2 scan details C_LIO_LIIndexed MS1/MS2 peak list export enabling machine learning workflows C_LI AvailabilityMetaXtract is available for free download as open-source software at https://github.com/Rappsilber-Laboratory/MetaXtract, the software is licensed under the Apache-2.0 license.

bioinformatics↗

bioRxiv2025

Enhanced photo-crosslinking in living cells with high-intensity longwave ultraviolet light

The activation of chemical reactions in living cells using ultraviolet (UV) light enables the interrogation of biomolecules in their native environment with photoreactive probes or crosslinking reagents. Although numerous photo-crosslinking approaches have been successfully employed, they often suffer from common limitations, including low reaction yields, the need for long exposure times, and irradiation-induced cellular damage from heat, desiccation, or side reactions. We recently showed that 365 nm light-emitting diodes (LEDs) enable rapid, bioorthogonal protein-DNA crosslinking in living cells, incurring minimal photodamage. Here we generalize this approach and demonstrate that high-intensity, longwave UV light reduces the irradiation time for in-cell photo-crosslinking reactions by up to 1000-fold, allowing protein-drug, protein-protein, protein-DNA and protein-RNA interactions to be fixed within seconds. Benchmarking this rapid photo-activation for the analysis of RNA-interacting proteomes responding to RNA-binding drugs, we demonstrate both qualitative and quantitative advantages of controlled, high-intensity UV irradiation, uncovering emergent experimental opportunities that were previously inaccessible to light-activated chemistry in intact cells and tissues.

molecular biology↗

bioRxiv2025

Chromatin Protection by the Chromosomal Passenger Complex

The chromosomal passenger complex (CPC; Borealin-Survivin-INCENP-Aurora B kinase) ensures accurate chromosome segregation by orchestrating sister chromatid cohesion, error-correction of kinetochore-microtubule attachments and spindle assembly checkpoint. Correct spatiotemporal regulation of CPC localization is critical for its function. Phosphorylations of Histone H3 Thr3 and Histone H2A Thr120 and modification-independent nucleosome interactions involving Survivin and Borealin contribute to CPC centromere enrichment. However, mechanistic basis for how various nucleosome binding elements collectively contribute to CPC centromere enrichment and whether CPC has any non-catalytic role at centromere remain open questions. Combining a high-resolution cryoEM structure of CPC-bound H3Thr3ph nucleosome with atomic force microscopy and biochemical and cellular assays, we demonstrate that CPC employs multipartite interactions involving both static and dynamic interactions, which facilitate its engagement at nucleosome acidic patch and DNA entry-exit site. Perturbing the CPC-nucleosome interaction compromises protection against MNase digestion in vitro, as well as the dynamic centromere association of CPC and centromeric chromatin stability in cells. Our work provides a mechanistic basis for the previously unexplained non-catalytic role of CPC in maintaining centromeric chromatin critical for kinetochore function.

biochemistry↗

bioRxiv2025

Assessment of Reported Error Rates in Crosslinking Mass Spectrometry

We benchmarked eight software tools in crosslinking mass spectrometry (MS) to evaluate their accuracy in detecting protein-protein interactions. Whereas about half performed reliably, others reported up to 31-fold more false interactions than indicated by their reported false discovery rates. During this community-driven effort, we helped correct one of the poorer-performing tools. Our findings demonstrate that, with robust algorithms, crosslinking MS can deliver highly dependable insights into biological systems.

bioinformatics↗

bioRxiv2025

In-cell discovery and characterization of a non-canonical bacterial protein translocation-folding complex

Cryo-electron tomography has emerged as powerful technology for in-cell structural biology, and in combination with breakthroughs in protein structure prediction, offers a unique opportunity for illuminating functions of previously uncharacterized macromolecular complexes. Here, we used the genome-reduced bacterium Mycoplasma pneumoniae as a minimal cell model, and determined in-cell maps of an unknown complex located at the cell surface. By combining proteomics, structure prediction, and bioinformatics, we identified the complex to include the conserved Sec-translocon and an extracellular dome-like structure largely formed by three uncharacterized proteins (Mdps). The Mdps show structural homology to a periplasmic ATP-independent foldase, PrsA, with Mdp444 retaining key catalytic residues. Our study provides the first sub-nanometer resolution maps of the complete bacterial Sec-translocation machinery, depicting several conformational states that allow us to suggest a model for translocation initiation, and revealing its coordination with a novel, extracellular, protein-folding system.

molecular biology↗

bioRxiv2025

Defining the chromatin-associated protein landscapes on Trypanosoma brucei repetitive elements using synthetic TALE proteins

Kinetoplastids, such as Trypansoma brucei, are eukaryotes that likely separated from the main lineage at an exceptionally early point in evolution. Consequently, many aspects of kinetoplastid biology differ significantly from other eukaryotic model systems, including yeasts, plants, worms, flies and mammals. As in many eukaryotes the T. brucei genome contains repetitive elements at various chromosomal locations including centromere- and telomere-associated repeats and interspersed retrotransposon elements. T. brucei also contains intermediate-sized and mini-chromosomes that harbor abundant 177 bp repeat arrays, and 70 bp repeat elements implicated in Variable Surface Glycoprotein (VSG) gene switching. In many eukaryotes repetitive elements are assembled in specialised chromatin such as heterochromatin, however, apart from centromere- and telomere-associated repeats, little is known about chromatin-associated proteins that decorate these and other repetitive elements in kinetoplastids. Here we utilize affinity selection of synthetic TALE DNA binding proteins designed to target specific repeat elements to identify enriched proteins by proteomics. Validating the approach, a telomere repeat binding TelR-TALE identifies many proteins previously implicated in telomere function. Furthermore, the 70R-TALE designed to bind 70 bp repeats indicates that proteins involved in DNA repair are enriched on these elements that reside adjacent to VSG genes. Interestingly, the 177 bp repeat binding 177R-TALE enriches for many kinetochore proteins suggesting that intermediate-sized and mini-chromosomes assemble kinetochores related in composition to those located on the main megabase chromosomes. This provides a first insight into the chromatin landscape of repetitive regions of the trypanosome genome with relevance for their mechanisms of chromosome integrity, immune evasion and cell replication.

cell biology↗

bioRxiv2025

Photo-leucine incorporation in Bacillus subtilis: Identification of transporters and of a selectivity determinant in the Leu-tRNA synthetase

The elucidation of the intricate network of proteins is essential for our understanding of cellular function. In vivo crosslinking is a powerful tool for probing these interactions, with photoactivatable amino acids representing a promising next step. Here, we evaluated the application of photo-leucine in the gram-positive model organism Bacillus subtilis. This amino acid analog is incorporated into proteins, but high concentrations inhibit the growth of B. subtilis. We investigated photo-leucine homeostasis and identified the branched-chain amino acid importers BcaP and BraB as well as the bipartite exporter AzlCD as key players of its uptake and export, respectively. Additionally, we identified a previously uncharacterized exporter, AexB, a member of the "sleeping beauty" group of EamA amino acid exporters. Expression of the aexB gene is positively regulated by the transcription factor AerB, that is normally normally inactive. Selective pressure by photo-leucine triggered the acqusition of a point mutation in aerB, allowing AerB to activate aexB expression. Mutants highly resistant to photo-leucine carried a single amino acid exchange, Ala-494 to Thr, in the leucine-tRNA synthetase LeuS. Molecular docking analysis revealed that this mutation alters the leucine-binding pocket, in a manner that still allowed binding of leucine, but not photo-leucine. While high photo-leucine incorporation is beneficial for effective crosslinking, our results suggest that B. subtilis intrinsically limits its incorporation to maintain cellular tolerance. Thus, evolutionary processes provide adaptive mechanisms to adjust amino acid analogue incorporation to tolerable levels, making photo amino acids a candidate for life cell investigation of protein struture and interactions.

microbiology↗

bioRxiv2024

Prosit-XL: enhanced cross-linked peptide identification by accurate fragment intensity prediction to study protein-protein interactions and protein structures

It has been shown that integrating peptide property predictions such as fragment intensity into the scoring process of peptide spectrum match can greatly increase the number of confidently identified peptides compared to using traditional scoring methods. Here, we introduce Prosit-XL, a robust and accurate fragment intensity predictor covering the cleavable (DSSO/DSBU) and non-cleavable cross-linkers (DSS/BS3), achieving high accuracy on various holdout sets with consistent performance on external datasets without fine-tuning. Due to the complex nature of false positives in XL-MS, a novel approach to data-driven rescoring was developed that benefits from Prosit-XLs predictions while limiting the overestimation of the false discovery rate (FDR). We first evaluated this approach using two ground truth datasets that demonstrate the accurate and precise FDR estimation. Second, we applied Prosit-XL on a proteome-scale dataset, demonstrating an up to [~]3.4-fold improvement in PPI discovery compared to classic approaches. Finally, Prosit-XL was used to increase the coverage and depth of a spatially resolved interactome map of intact human cytomegalovirus virions, leading to the discovery of previously unobserved interactions between human and cytomegalovirus proteins.

bioinformatics↗

bioRxiv2024

Phosphorylation-dependent tuning of mRNA deadenylation rates

mRNA decay is a major determinant of gene regulation that is controlled through shortening of mRNA poly(A) tails by the Ccr4-Not complex. The specificity of deadenylation can be mediated through RNA adaptors - RNA-binding proteins that tether substrate mRNAs to Ccr4-Not in a regulated and context-specific manner. Interaction with Ccr4-Not is mediated by intrinsically disordered regions (IDRs) within the RNA adaptors. Due to the difficulty in studying large IDR-containing complexes, the determinants of specificity and their regulation remain unclear. Here we use structural biology and biochemical reconstitution to show that dispersed segments within IDRs of RNA adaptors bind to several distinct binding sites on Ccr4-Not through multivalent interactions. We further demonstrate that binding can be modulated by phosphorylation, altering the consequent deadenylation rate in a continuously tunable manner. This mechanism is broadly applicable in evolutionarily divergent IDRs from multiple RNA adaptors including fission yeast Puf3, and human Pumilio/PUM1 and Tristetraprolin/TTP. Together, our work suggests that multivalent interactions and phosphorylation represent conserved strategies for regulating gene expression. Thus, in response to cellular cues, mRNA decay can be regulated by a graded mechanism, rather than a bistable on/off switch, rationalizing how post-transcriptional gene expression is fine-tuned.

molecular biology↗

bioRxiv2024

Molecular insights into dynamic protein structures by high-contrast crosslinking mass spectrometry

Proteins are comprised of structured domains and dynamic regions, and both are essential for biological function. However, studying dynamic regions is challenging using most structural biology methods, including crosslinking mass spectrometry. Here, we dramatically improve the usefulness of distance restraints from crosslinking MS by taking advantage of short-lived reactive species generated from diazirine-based photo-crosslinking. This leads to a clear view of complex topologies and conformational changes, including in dynamic regions. We demonstrate that photo-crosslinking MS data can be used to model flexible regions and conformational changes in the DNA repair complexes; Fanconi Anemia core complex and FANCD2-FANCI. In addition, we obtain new insights into the architecture and arrangement of the highly flexible CCR4-NOT mRNA deadenylation complex. The improved contrast of photo-crosslinking empowers structural biology by providing clearer structural insights into dynamic biological systems that have eluded other structural biology approaches.

molecular biology↗

bioRxiv2024

An NADH-controlled gatekeeper of ATP synthase

ATP fuels crucial cellular processes and is obtained mostly by oxidative phosphorylation (OXPHOS) at the inner mitochondrial membrane. While significant progress has been made in mechanistic understanding of ATP production, critical aspects surrounding its substrate supply logistics are poorly understood. We identify an interaction between mitochondrial apoptosis-inducing factor 1 (AIFM1) and adenylate kinase 2 (AK2) as gatekeeper of ATP synthase. This interaction is NADH-dependent and influenced by glycolysis, linking it to the cells metabolic state. Genetic interference with AIFM1/AK2 association impedes the ability of Caenorhabditis elegans animals to handle altered metabolic rates and nutrient availability. Together, the results imply AIFM1 as a cellular NADH sensor, placing AK2 next to the OXPHOS complexes for local ADP regeneration as the substrate for ATP synthesis. This metabolic signal relay balances ATP synthase substrate supply against ATP conservation, enabling cells to adapt to fluctuating energy availability, with possible implications for AIFM1-related mitochondrial diseases. HighlightsO_LIDiscovery of AIFM1/AK2 interaction as a gatekeeper of mitochondrial ATP synthase C_LIO_LIAIFM1/AK2 interaction is NADH-dependent and linked to the cells metabolic state C_LIO_LIDisrupting AIFM1/AK2 impairs metabolic adaptation in Caenorhabditis elegans C_LIO_LIAIFM1 as NADH sensor, influencing ATP synthesis with mitochondrial disease implications C_LI

biochemistry↗

bioRxiv2024

Integrative structural analysis of NF45-NF90 heterodimers reveals architectural rearrangements and oligomerisation on binding dsRNA.

Complexes of nuclear factors 45 and 90 (NF45-NF90) play a multitude of roles in co- and post-transcriptional RNA processing, including regulating adenosine-to-inosine editing, cassette exon and back splicing, and splicing fidelity. NF45-NF90 complexes recognise dsRNA and, in human cells, primarily interact with inverted Alu repeats (AluIRs) that are commonly inserted into introns and other non-coding RNA regions. Intronic AluIRs of [~]300 bp can regulate splicing outcomes, such as generation of circRNAs. We examined domain reorganisation of NF45-NF90 domains on dsRNAs exceeding 50 bp to gain insight into its RNA recognition properties on longer dsRNAs. Using a combination of phylogenetic analysis, solution methods (including small angle X-ray scattering and quantitative cross-linking mass spectrometry), machine learning and negative stain electron microscopy, we generated a model of NF45-NF90 complex formation on dsRNA. Our data reveal that different interactions of NF45-NF90 complexes allow these proteins to coat long stretches of dsRNA. This property of the NF45-NF90 complex has important implications for how long, nuclear dsRNAs are recognised in the nucleus and how this might promote (co)-regulation of specific RNA splicing and editing events that shape the mammalian transcriptome.

biochemistry↗