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Mueller, F.

Publications and source records attributed to Mueller, F..

At least 19 recordsLinked to original sources

methylTFR: Computational quantification of transcription factor activity from DNA methylation

DNA methylation modulates transcription factor (TF) binding, and plays an important role in regulating gene expression. We developed methylTFR, an R package for quantifying TF activity from DNA methylation across TF-binding sites, providing a low-dimensional and interpretable activity profile. Across 147 human immune cell methylomes, methylTFR identified cell-type-specific regulators, including CEBP and ETS family activity in myeloid cells. In CD4+ T cells, TF activity scores resolved the naive-to-memory trajectory and highlighted AP-1 factors as important memory regulators. We applied methylTFR to sparse single-cell methylome data, and we integrated derived activity scores with gene expression and accessibility into joint factor models yielding multimodal views of lineage regulators.

bioinformatics↗

Engineered dual-gastruloid model for foregut-pharyngeal mesoderm co-development

During mammalian gastrulation, progenitors of craniofacial and cardiopharyngeal muscles arise from anterior mesoderm adjacent to foregut endoderm, and they are controlled by gene regulatory networks and signalling pathways distinct from those of trunk mesoderm. While in vitro models capture aspects of posterior and heart development, a spatially organised interface between foregut-like endoderm and cranial-mesoderm-like tissue has not been described. Here we introduce a dual-aggregate gastruloid model, formed by fusing two mouse embryonic stem cell aggregates patterned under distinct Nodal, FGF, and Wnt signalling. These structures reproducibly establish an anterior-posterior axis and position a Foxa2/Sox17/Cdh1 foregut-like epithelium proximal to Pax1/Pax9 pharyngeal-like endoderm and Tbx1 cranial-mesoderm-like cells, resembling the E8.5 pharyngeal region. Reciprocal chimeras and Foxa2 loss-of-function indicate that Foxa2 endoderm is required for Tbx1 expression in adjacent anterior mesoderm. Pharmacological perturbation of Hedgehog disrupts Foxa2 and Tbx1 expression. The model provides a tractable platform for dissecting endoderm-mesoderm signalling and congenital craniofacial disease mechanisms.

developmental biology↗

LARP1-DM15/Sgt is a reader for cap-adjacent 2`-O-ribose methylation in TOP ribosomal protein mRNAs required for localization to synapses

The most prominent mRNA modification in animals and many of their parasites is 2`-O-ribose methylation of cap-adjacent nucleotides (cOMe) introduced by cap-methyl transferases (CMTrs). How these modifications impact on gene expression and are decoded by reader proteins, however, remains uncertain. Through analysis of transcriptional start-site usage, we discovered a bias in ribosomal protein mRNAs starting with the Terminal Oligo Pyrimidine (TOP) motif, but not other TOP mRNAs in the absence of cOMe. cOMe stabilizes TOP mRNAs, enhances binding of the LARP1-DM15 domain to the TOP mRNA 5` end and is assisted by the tetratricopeptide domain-containing protein Sgt/SGTA/B. This conserved complex is required for localization of TOP ribosomal protein mRNAs to Drosophila synapses. Our study reveals an mRNA methylation-mediated mechanism to maintain local protein synthesis remote from the nucleus for sustained synaptic functions.

molecular biology↗

Mapping non-coding functional elements in allotetraploid Cyprinus carpio embryo development reveals subgenome variation of transcription regulation

Common carp (Cyprinus carpio) is an important freshwater species for ornamental and aquaculture purposes, and a key cyprinid model for studying allotetraploidy. Its two chromosomally-separated subgenomes show distinct gene expression profiles, but how their regulatory landscapes control gene expression dynamics during development remains unknown. We generated a regulatory atlas by combining transcriptomes across 12 developmental stages with chromatin accessibility maps, transcription start sites and gene regulation-associated histone post-translational modifications. Subgenome-specific annotation and comparison of 254,276 developmental regulatory elements (PADREs) revealed that regulatory subgenome divergence is most prominent during early development, converging toward the phylotypic period, mirroring expression convergence between subgenomes at the same stages. This dynamic was driven by enhancers, while promoters maintained a more stable subgenome bias, extending the hourglass model of developmental constraint to allotetraploid subgenome regulation. Subgenome-specific enhancers were preferentially retained in subgenome B, whereas subgenome A shifted toward homeologous enhancer activity near the phylotypic stage, indicating directional regulatory divergence between subgenomes. Comparison with zebrafish revealed high concordance with sequence conservation and that subgenome B retained more ancestral cyprinid regulatory elements than subgenome A. This developmental regulatory atlas provides a foundational resource for investigating cis-regulatory evolution following the fourth round of vertebrate genome duplication.

genomics↗

Dbf4-dependent kinase promotes meiotic DNA end resection through cyclin-dependent kinase 12 and DNA-2 in Caenorhabditis elegans

Meiotic crossovers depend on the accurate processing of programmed DNA double-strand breaks by homologous recombination, which involves generating by resection the single-stranded DNA ends required for the subsequent strand invasion step. How regulatory kinases control DNA end resection in animal meiosis remains poorly understood. Here, we identify the Caenorhabditis elegans Dbf4-dependent kinase (DDK) complex, composed of CDC-7 and DBF-4, and identify CDK-12 as a candidate substrate. DDK promotes efficient meiotic DNA end resection, while crossover formation remains largely preserved in its absence. Loss of DDK function leads to SPO-11-dependent chromosome bridges at diakinesis that arise from recombination intermediates formed early in recombination. In addition to chromosome bridges, we observed elevated heterologous recombination that occurs independently of the canonical or alternative end-joining pathways. Interestingly, CDC-7 and DBF-4 localize dynamically during prophase I and load onto DNA in a hierarchical manner that depends on the BRC-1-BRD-1 complex. Epistasis analysis placed CDC-7 and CDK-12 within the DNA-2-dependent branch of long-range DNA resection. Together, our findings reveal an unidentified DDK/CDK-12/DNA-2 signaling axis that promotes efficient meiotic DNA resection to avoid the generation of aberrant recombination outcomes.

cell biology↗

A DIA-based quantitative crosslinking mass spectrometryframework for dynamic structural proteomics

Proteins undergo dynamic conformational rearrangements and interactions that are central to their biological functions. Quantitative crosslinking mass spectrometry enables the analysis of those dynamics and molecular interactions, but rigorous confidence assessment and empirical validation strategies for quantitative measurements remain underdeveloped, and integrated analysis of complementary structural features, including monolinks and protein-RNA adducts, remains limited. Here we present a data-independent acquisition (DIA)-based framework for quantitative crosslinking mass spectrometry (DIA-QCLMS) that combines optimized acquisition strategies, crosslink-aware spectral libraries and empirical false-discovery-rate (FDR) validation. The workflow supports crosslinks, monolinks and protein-RNA adducts and integrates spectral-library generation from two crosslinking search engines (xiSEARCH and MS Annika). To enable robust confidence assessment in DIA data, we developed a four-state target-decoy spectral library strategy that explicitly models target-target, target-decoy, decoy-target and decoy-decoy crosslink spectra. Experimental entrapment datasets enabled empirical validation of confidence estimation, whereas benchmarking with PhoX-crosslinked Cas9 demonstrated improved quantitative completeness and reproducibility compared with data-dependent acquisition. Application of the workflow to the ATP-dependent RNA helicase UAP56 (DDX39B) resolved ligand-dependent changes in intramolecular restraints, residue accessibility and candidate RNA-contact sites associated with the transition from an open to a clamped conformation. These results establish DIA-QCLMS as a scalable framework for quantitative structural proteomics and provide practical strategies for confidence-controlled analysis of dynamic protein interactions and conformational states.

biochemistry↗

Assembly principles of a SYCP2-HORMAD1-HORMAD2 mammalian meiotic axis complex

During meiotic prophase I, the chromosome axis orchestrates programmed DNA double-strand break formation, repair and synapsis between homologous chromosomes. In mammals, the axis is assembled from the coiled-coil elements SYCP2 and SYCP3 that come together with the HORMA-domain proteins HORMAD1 and HORMAD2, but how these components associate into a coherent structural unit remains incompletely understood. Combining recombinant reconstitution, mass photometry, SEC-MALS, AlphaFold modelling and crosslinking mass spectrometry, we show that the HORMA domains of HORMAD1 and HORMAD2 form a selective pseudosymmetric heterodimer independently of either proteins own closure motif, with interface determinants conserved across vertebrates. We identify a previously unrecognised second closure motif (CM2) in SYCP2 that preferentially binds HORMAD1, distinct from the previously described HORMAD2-binding closure motif (CM1). Together, these results revise the current model of mammalian axis assembly and define a tripartite SYCP2-HORMAD1-HORMAD2 module as a fundamental structural unit of the mammalian meiotic chromosome axis.

cell biology↗

Bacterial targeting of host paraspeckles uncovers a new SFPQ-based regulation

Nuclear functions are key in protecting cells against infections, yet intracellular pathogens like Legionella pneumophila can exploit these mechanisms to survive. We characterized a L. pneumophila protein, LpDot1, which shares sequence similarity with the eukaryotic catalytic domain of the histone methyltransferase DOT1. Structure determination, together with biochemical and biophysical analyses, revealed that LpDot1 methylates non-histone nuclear proteins, notably the splicing factor proline-glutamine rich protein (SFPQ). Importantly, LpDot1 targets the previously uncharacterized K518, located on an important structural motif of SFPQ, therefore impairing its dimerization in vitro. During infection, L. pneumophila modulates SFPQ abundance and activities in a LpDot1-dependent manner, thereby hijacking paraspeckle organization and the host cell splicing machinery, leading to alternative splice variants of infection related genes such as NF-kB2 and CD45. To our knowledge, this is the first report of a bacterial effector directly modifying paraspeckle dynamics, providing new insight into previously uncharacterized eukaryotic regulatory pathways.

microbiology↗

DICER1 syndrome mutations lead to a gain of 3p-miRNA function, HERVH activity and increased metastatic potential

The DICER1 gene is mutated in cancer, including DICER1 syndrome, a rare tumour predisposition syndrome. Cancer-associated hotspot mutations have been reported in both catalytic domains of DICER1 and are predicted to disrupt miRNA biogenesis. To understand how these hotspot mutations contribute to cancer development, we have generated cell lines harbouring single amino acid substitutions within the catalytic RNase IIIa (S1344L) or RNase IIIb (D1709N) domains of the endogenous DICER1 gene. We show that both mutations result in a widespread loss of 5p miRNAs, and, unexpectedly, an increase in 3p passenger strands loading into AGO2. The shared similarities between both mutants can be attributed to the structural proximity of the S1344 residue to the RNase IIIb catalytic centre. Functionally, we found that changes in the repertoire of miRNAs loaded into AGO2 result in altered gene expression, impacting critical pathways for cancer development, including metastatic potential. Additionally, our results indicate that inactivating the processing activity of DICER1 does not result in genomic instability. Instead, mutations cause specific upregulation of human endogenous retrovirus H (HERVH) through miRNA-independent mechanisms, suggesting that both canonical and non-canonical DICER1 functions are important to understand DICER1 syndrome.

molecular biology↗

An integrated model of population growth saturation and basal ROS levels predicts cellular ferroptosis sensitivity

Ferroptosis is a form of regulated cell death characterized by iron-dependent lipid peroxidation and membrane rupture. While cellular populations reaching confluence are known to have limited sensitivity to ferroptosis, an understanding of the interplay between growth dynamics, ROS levels and ferroptosis is currently lacking. Here we use live-cell imaging coupled to ROS tracing to reveal a feedback loop between population growth and ferroptotic cell death. Starting out from the observation that the cellular proliferation rate declines with increased cellular density, we find that ROS levels also decline with increasing cellular density. Low ROS levels make cells insensitive to ferroptosis, which in turn enables population growth. This feedback produces two steady states: (i) a ferroptosis-insensitive state characterized by slow growth, low levels of ROS and low rates of cell death and (ii) a ferroptosis-sensitive state characterized by rapid growth, ROS accumulation, and high rates of ferroptosis. Interestingly, triggering effective ferroptosis by interfering with GPX4 activity is directly linked with this mechanism. On the other hand, keeping cell numbers and drug concentration/cell constant while restricting growth space led to reduced proliferation, reduced ROS and decreased ferroptotic cell death. Importantly, ferroptosis resistance at high cellular confluency could be broken by increasing cellular ROS and lipid ROS through a galactose-promoted OXPHOS switch. A mathematical model of the feedback mechanism predicts the long-term fate of populations as well as their ferroptosis sensitivity when external conditions impacting cell proliferation rates, ROS, or both are changed.

cancer biology↗

Dissecting the epigenome dynamics in human immune cells upon viral and chemical exposure by multimodal single-cell profiling

Environmental and pathogen exposure can lead to profound remodeling of the gene-regulatory landscape across human immune cell populations. Here, we present a single-nucleus chromatin accessibility atlas of human immune cells comprising 271,299 cells and 319,420 candidate regulatory elements from individuals exposed to HIV-1, COVID-19, Influenza virus, organophosphates, as well as healthy controls. Our longitudinal HIV cohort reveals epigenetic signatures of T cell exhaustion manifested in changes in the accessibility at binding sites for the FOXP family transcription factors. Upon severe exposure to SARS-Cov2 we identified changes in chromatin accessibility manifesting in a regulatory switch in cytokine networks characterized by the downregulation of the NF-{kappa}B motif family, alongside concordant changes in AP-1 and IRF factor networks in CD14+ classical monocytes. By integrating single-cell profiles of DNA methylation from matched samples, we created a multimodal epigenome atlas of human immune cell states using the accessibility-derived candidate regulatory elements. Both modalities exhibit complementary epigenetic signatures at transcription factor binding sites associated with cell state, as exemplified in the process of memory formation in T-cells, where BATF, AP-1, and ETS motifs exhibit significant epigenetic covariance across both epigenomic layers. Finally, by linking potentially regulatory DNA methylation signatures to changes in chromatin accessibility in monocytes, we observe that severe COVID-19 involves selective, multiomics remodeling of epigenetic profiles at TF binding sites manifested in concordant DNA methylation and accessibility dynamics at inflammation-associated regulatory TFs.

bioinformatics↗

Evaluation of visual performance for RCS rats: A tailor-made OMR setup via DeepLabCut and PsychoPy with a customized algorithm

In this study, we developed an optimized optomotor response (OMR) setup for rats based on existing commercial systems and introduced a novel method that integrates DeepLabCut, PsychoPy, and custom algorithms to automate OMR performance evaluation in rats. Our primary findings revealed the optimal spatial frequency (SF) and grating velocity for pigmented Royal College of Surgeons (RCS) and wild-type (WT) rats. The RCS rats, a model for retinal degeneration, displayed normal OMR performance at postnatal days 30 (P30) and 50 (P50), but a significant decline was observed at 3 months. In most rats aged 6 and 12 months, the percentage of correct responses (PoC) was 50%, indicating blindness. The high efficiency and reproducibility of our non-invasive OMR test, along with its suitability for post-surgical and retinal degeneration models, underscores its potential for broad applications in visual performance evaluation.

neuroscience↗

A Deep Learning approach for time-consistent cell cycle phase prediction from microscopy data

The cell cycle consists of four phases and impacts most cellular processes. In imaging assays, the cycle phase can be identified using dedicated cell-cycle markers. However, such markers occupy fluorescent channels that may be needed for other reporters. Here, we propose to address this limitation by inferring the phase from a widely used fluorescent reporter: SiR-DNA. Our method is based on a variational auto-encoder, enhanced with two auxiliary tasks: predicting the intensity of phase-specific markers and enforcing the latent space temporal consistency. Our model is freely available, along with a new dataset comprising over 600,000 annotated HeLa Kyoto nuclear images.

bioinformatics↗

Molecular anatomy of PLK1 master docking motifs

The Polo-box domain (PBD) localizes Polo-like kinase 1 (PLK1) near mitotic substrates required for chromosome biorientation. Recent work on mitotic kinetochores showed PLK1 docking begins hierarchically at master docking motifs on BUB1 and CENP-U. Whether master docking motifs have common molecular features remains poorly understood. Presence on CENP-U of two neighbouring motifs generated by initial CDK1 priming and subsequent PLK1 phosphorylation led us to hypothesize PBD dimerization might be involved. Using biochemical, biophysical, and modelling approaches, we gathered strong evidence that CENP-U contains a single master docking motif. The motif is very high affinity and sufficient to form extensive interactions with the PBD, engaging multiple pockets on its surface without obvious added benefits from dimerization. Comparisons with motifs in BUB1, BUBR1, and PRC1 suggests apparent commonalities of master PLK1 docking motifs. We discuss the implications of our observations for the mechanism of PLK1 activation.

biochemistry↗

RNA2seg: a generalist model for cell segmentation in image-based spatial transcriptomics

Imaging-based spatial transcriptomics (IST) enables high-resolution spatial mapping of RNA species. A key challenge in IST is accurate cell segmentation to assign each RNA molecule to the right cell. Here, we present RNA2seg, a novel segmentation algorithm trained on over 4 million cells from MERFISH and CosMx datasets across seven organs using a teacher-student training scheme. RNA2seg integrates RNA point clouds and all available membrane and nuclear stainings. Validation on manually annotated data shows superior performance including in zero-shot and few-shot settings. The method is available as a documented pip package: https://github.com/fish-quant/rna2seg.

bioinformatics↗

In vivo crosslinking and effective 2D enrichment for interactome studies of the nucleosome.

Cross-linking mass spectrometry has evolved as a powerful technique to study protein-protein interactions and to provide structural information over the past decades. Low reaction efficiencies, and complex matrices lead to challenging system wide crosslink analysis. In this study, we improved and streamlined an Azide-A-DSBSO based in vivo crosslinking workflow employing two orthogonal effective enrichment steps: Affinity enrichment and size exclusion chromatography (SEC). Combined, they allow an effective pulling of DSBSO containing peptides and remove the background of linear as well as mono-linked peptides. We found that the analysis of a single SEC fraction is effective to yield [~]90% of all crosslinks, which is important whenever measurement time is limited, and sample throughput is crucial. Our workflow resulted in more than 5000 crosslinks from K562 cells and generated a comprehensive PPI network from whole cells as well as nuclear extracts. From 393 PPI found within the nucleus, 56 have not yet been reported in the STING database and are representing a valuable resource for investigating new molecular mechanisms and provide complementary data for future studies. We further show, that by applying DSBSO to nuclear extracts we yield more crosslinks on lower abundant proteins and showcase this on the DEAD-box RNA helicase DDX39B which is predominantly expressed in the nucleus. Our data indicates that DDX39B is present in monomeric and dimeric form together with DDX39A within the nuclear extracts analyzed.

biochemistry↗

Establishment of an efficient one-step enzymatic synthesis of cyclic-2,3-diphosphoglycerate

Extremolytes - unique compatible solutes produced by extremophiles - protect biological structures like membranes, proteins, and DNA under extreme conditions, including extremes of temperature and osmotic stress. These compounds hold significant potential for applications in pharmaceuticals, healthcare, cosmetics, and life sciences. However, despite their promise, only a few extremolytes, such as ectoine and hydroxyectoine, are commercially established, primarily due to the lack of efficient production strategies for other compounds. Cyclic 2,3-diphosphoglycerate (cDPG), a unique metabolite found in certain hyperthermophilic methanogenic Archaea, plays a key role in thermoprotection and is synthesized from 2-phosphoglycerate (2PG) through a two-step enzymatic process involving 2-phosphoglycerate kinase (2PGK) and cyclic-2,3-diphosphoglycerate synthetase (cDPGS). In this study, we present the development of an efficient in vitro enzymatic approach for the production of cDPG directly from 2,3-diphosphoglycerate (2,3DPG), leveraging the activity of the cDPGS from Methanothermus fervidus (MfcDPGS). We optimized the heterologous production of MfcDPGS in Escherichia coli by refining codon usage and expression conditions. The purification process was significantly streamlined through an optimized heat precipitation step, coupled with effective stabilization of MfcDPGS for both usage and storage by incorporating KCl, Mg2+, reducing agents and omission of an affinity tag. The recombinant MfcDPGS showed a Vmax of 38.2 U mg-1, with KM values of 1.52 mM for 2,3DPG and 0.55 mM for ATP. The enzyme efficiently catalyzed the complete conversion of 2,3DPG to cDPG. Remarkably, even at a scale of 100 mM, it achieved full conversion of 37.6 mg of 2,3DPG to cDPG within 180 minutes, using just 0.5 U of recombinant MfcDPGS at 55{degrees}C. These results highlight that MfcDPGS can be easily produced, rapidly purified, and sufficiently stabilized while delivering excellent conversion efficiency for cDPG synthesis as value-added product. Additionally, a kinetic model for MfcDPGS activity was developed, providing a crucial tool to simulate and scale up cDPG production for industrial applications. This streamlined process offers significant advantages for the scalable synthesis of cDPG, paving the way for further biochemical and industrial applications of this extremolyte.

bioengineering↗

A dual readout embryonic zebrafish xenograft model of rhabdomyosarcoma to assess clinically relevant multi-receptor tyrosine kinase inhibitors

BackgroundRhabdomyosarcoma (RMS) is a highly aggressive soft tissue sarcoma, affecting children and adolescents, with poor prognosis in some patient groups. Better therapeutic regimens and preclinical models to test them in are needed. Multi-receptor tyrosine kinase inhibitors (MRTKIs) are licensed for adult indications and explored in the clinic in sarcoma patients. The MRTKI Regorafenib is currently assessed in the relapse setting in patients with RMS (NCT04625907). Reliable biomarkers of response for MRTKIs are lacking. MRTKIs act not only against the cancer cell, but also the supporting stroma, particularly the vasculature. The embryonic zebrafish is translucent and allows assessment of this interaction with high-throughput in vivo imaging. MethodsA new preclinical embryo zebrafish xenograft model was developed using Tg(flk1:GFP) (blood vessel reporter) transgenic zebrafish embryos inoculated in the yolk with fluorescently labelled cells from 7 different RMS cell lines (fusion-positive (FP): Rh4, Rh30, Rh41, RMS-01, fusion-negative (FN): RD, JR1, SMS-CTR), and patient-derived cells IC-pPDX-104 at 50 hours post-fertilization and incubated at 34{degrees}C for up to 70 hours. Xenografts and vessel beds were imaged and analysed using custom FIJI pipelines. MRTKIs regorafenib and infigratinib were used at a concentration of 0.1uM added to the fish water 4 hours post cell inoculation. Pro-angiogenic growth factors VEFG-A, FGF-2 and PDGF-BB were measured in conditioned media of each cell line. ResultsAll 7 RMS cell lines and the patient-derived cells engrafted with tumour burden assessment by fluorescent imaging and direct cell counting indicating adequate growth and high cell viability during the observation period. RMS tumours induced neo-vascularisation towards the tumour and increased density of proximal vessel beds. MRTKI treatment revealed a greater tumour-intrinsic sensitivity of FP cells, but identified a significant blockade of neo-vascularisation across all RMS lines, with regorafenib response correlated with secretion of VEGF-A. ConclusionWe have developed an embryonic zebrafish xenograft model of RMS, which allows assessment of tumour growth, vascularisation initiation and therapeutic responses to clinically relevant MRTKIs. The identification of VEGF-A secretion as potential biomarker for Regorafenib response and the separation of therapeutic effects on tumour growth and neovascularisation suggests additional value of our model for response prediction to MRTKIs.

cancer biology↗