Biology subjects

Kuenne, C.

Publications and source records attributed to Kuenne, C..

16 recordsLinked to original sources

bioRxiv2026

Marfan Patient iPSC-Derived Endothelial Cells Carrying FBN1 Variants Reveal Endothelial Dysfunction

Marfan syndrome (MFS) is an inherited connective tissue disorder caused by pathogenic variants in FBN1, encoding fibrillin-1, with life-threatening aortic complications arising in part from endothelial cell (EC) dysfunction. To study this in a human model, we generated hiPSC-derived ECs from three MFS patients (iMFS-ECs). We show that iMFS-ECs recapitulate known disease phenotypes, including impaired alignment in the direction of flow. Moreover, we found that iMFS-ECs do not recover from TNF--induced loss of barrier integrity, due to sustained EC contractility. iMFS-ECs exhibited TNF--induced ICAM1 upregulation and NF-{kappa}B activation comparable to healthy donor-derived hiPSC-ECs by bulk RNA-seq, while expression of genes linked to cytoskeletal arrangements, cell signaling and ECM remodeling were dysregulated. In conclusion, we show that hiPSC derived ECs can serve as a model to investigate MFS pathology. These findings establish a human iPSC platform for MFS endothelial research and suggest impaired inflammatory resolution as a novel therapeutic target.

cell biology↗

bioRxiv2026

Reg3β removes aged neutrophils after myocardial infarction

AO_SCPLOWBSTRACTC_SCPLOWRecruitment and resolution of immune cell accumulation after myocardial infarction (MI) is critical for effective wound healing and prevention of maladaptive remodeling. Numerous signals are known to recruit neutrophils, critical drivers of inflammation, but knowledge about signals containing and resolving their accumulation is limited. We discovered that Regenerating-islet derived protein 3 beta (REG3{beta}) limits the persistence of neutrophils after MI, thereby promoting resolution of inflammation. REG3{beta} selectively binds to aged and hyperactive neutrophils and induces rapid cell death, enabling clearance via macrophage-mediated efferocytosis. Selective binding of REG3{beta} is achieved by interaction with paucimannosylated proteins that translocate from azurophile granules to the plasma membrane in an activation- and age-dependent manner. Endocytotic uptake and accumulation of REG3{beta} in lysosomes initiates programmed cell death of neutrophils via lyosomal membrane permeabilization and release of cathepsins. Our work establishes REG3{beta} as a local immune checkpoint essential for neutrophil resolution and cardiac repair.

immunology↗

bioRxiv2026

FRED: a universal tool to generate FAIR metadata for omics experiments

Scientific research relies on transparent dissemination of data and its associated interpretations. This task encompasses accessibility of raw data, its metadata, details concerning experimental design, along with parameters and tools employed for data interpretation. Production and handling of these data represents an ongoing challenge, extending beyond publication into individual facilities, institutes and research groups, often termed Research Data Management (RDM). It is foundational to scientific discovery and innovation, and can be paraphrased as Findability, Accessibility, Interoperability and Reusability (FAIR). Although the majority of peer-reviewed journals require the deposition of raw data in public repositories in alignment with FAIR principles, metadata frequently lacks full standardization. This critical gap in data management practices hinders effective utilization of research findings and complicates sharing of scientific knowledge. Here we present a flexible design of a machine-readable metadata format to store experimental metadata, along with an implementation of a generalized tool named FRED. It enables i) dialog based creation of metadata files, ii) structured semantic validation, iii) logical search, iv) an external programming interface (API), and v) a standalone web-front end. The tool is intended to be used by non-computational scientists as well as specialized facilities, and can be seamlessly integrated in existing RDM infrastructure.

bioinformatics↗

bioRxiv2025

A microprotein encoded by FERMT3 modulates endothelial cell protein catabolism and induces p53-mediated cell cycle arrest and senescence

BackgroundHuman endothelial cells express numerous microproteins (miPs) encoded by small open reading frames (smORFs) distributed throughout the genome, yet the biological functions of most remain unknown. This study set out to characterize a novel 69 amino acid miP encoded by a smORF located within the coding sequence of the FERM domain containing kindlin-3 transcript (miP-FERMT3). MethodsConfocal microscopy was used to determine the subcellular localization of miP-FERMT3 in endothelial cells and its interaction partners were determined by mass spectrometry and immunoblotting. RNA sequencing identified transcriptional alterations induced by miP-FERMT3 overexpression. Cell proliferation and cell cycle stages were assessed by live cell imaging, EdU incorporation and flow cytometry, while senescence was examined by senescence-associated {beta}-galactosidase staining, live cell imaging and RT-qPCR-based measurement of telomere length. ResultsIn endothelial cells miP-FERMT3 localized mainly to centriole subdistal appendages, where it interacted with proteins involved in ubiquitin- and proteasome-dependent protein catabolism, including PSMD9, CUL2 and TRIM8. Consistent with these interactions, cells expressing miP-FERMT3 exhibited increased global protein ubiquitination, enhanced centrosomal neddylation and elevated proteasomal activity. MiP-FERMT3 also promoted the nuclear accumulation of p53, which subsequently repressed FOXM1 expression, leading to the downregulation of genes required for cell-cycle progression and upregulation of genes involved in cell cycle inhibition, resulting in cell-cycle arrest. Cells expressing the miP also demonstrated multiple hallmarks of cellular senescence, including enlarged size, DNA damage, increased senescence-associated {beta}-galactosidase activity, telomere shortening and paracrine pro-inflammatory activation of naive endothelial cells. Analyses of independent murine and human transcriptomic and proteomic aging datasets further revealed that FERMT3 expression and protein abundance increase with age. ConclusionsThese findings identify miP-FERMT3 as a novel regulator of protein catabolism and p53-dependent cell cycle arrest and cellular senescence in endothelial cells. Given the aging-associated upregulation of FERMT3 in mouse and human endothelial cells, increased miP-FERMT3 expression may contribute to the onset of vascular senescence as a hallmark of aging.

cell biology↗

bioRxiv2025

SC-Framework: A robust and FAIR semi-interactive environment for single-cell resolution datasets

The accelerated development of single-cell technologies has profoundly impacted the field of biological research, facilitating unparalleled insights into cellular heterogeneity. However, this progress has also produced new computational challenges in the field of bioinformatics: single-cell datasets are increasingly high-dimensional, multimodal, and large-scale, while analysis workflows often remain fragmented, data type specific, ad hoc, and difficult to reproduce. The prevailing methodologies are dependent on a combination of public tools, which hinders the reproducibility of results, limits scalability, and complicates the efforts to establish benchmarks. The necessity for a higher-level, unified framework for single-cell data analysis is paramount to address these inherent limitations. Here, we introduce the SC-Framework, providing the integration of standardized data structures, declarative workflows and standardized computational backends in a containerized environment, enabling analysts to focus on biological interpretation rather than technical overhead. SC-Framework is available at GitHub (https://github.com/loosolab/SC-Framework).

bioinformatics↗

bioRxiv2025

PEAKQC: Periodicity Evaluation in scATAC-seq data for quality assessment

ATAC-seq is a common protocol to identify regulatory regions in the genome. While quality control (QC) standards are well-established for bulk ATAC-seq, application to single-cell ATAC-seq remains challenging due to data sparsity, noise, and a lack of consensus on effective QC metrics and thresholds. Existing methods, such as fragment length ratio offer limited resolution and fail to fully utilize fragment length distribution (FLD) patterns. We present PEAKQC, a Python-based tool designed to assess single-cell ATAC-seq data quality using a wavelet-based convolution of FLD patterns. Benchmarking PEAKQC against established QC metrics demonstrates an overall more consistent, linear quality assessment of ATAC data. PEAKQC improves downstream analyses by effectively filtering low-quality cells while preserving biologically meaningful data. When combined with other metrics, such as the ratio of fragments in peaks and total counts, PEAKQC enhances clustering accuracy and cell-type identification. The tool is modular, easily installable via Python Package Index, and integrates seamlessly into Python-based single-cell analysis frameworks. PEAKQC provides a robust and scalable solution for single-cell ATAC-seq QC, addressing current gaps in the field and suggesting FLD patterns as a new standard for data quality assessment.

bioinformatics↗

bioRxiv2024

Nuclear eNOS interacts with and S-nitrosates ADAR1 to modulate type I interferon signaling and endothelial function.

BackgroundNitric oxide (NO) generated by the endothelial NO synthase (eNOS) regulates vascular tone and endothelial homeostasis to counteract vascular inflammation. Most eNOS is localized at the cell membrane or in the Golgi apparatus, but the enzyme is also present in the endothelial cell nucleus. Here we assessed the relevance of nuclear eNOS and NO signaling for endothelial cell function. MethodseNOS gain- and loss-of-function approaches were combined with confocal microscopy, biochemical, histological and multi-omics analyses. The pathophysiological relevance of the findings was assessed in murine models of atherogenesis (ApoE-/- and partial carotid ligation) as well as in samples from patients with atherosclerosis. ResultseNOS was present in the nucleus of unstimulated human and murine endothelial cells (in vitro and ex vivo) and stimulation with vascular endothelial growth factor (VEGF) enhanced its nuclear localization. Co-immunoprecipitation studies coupled with proteomics revealed the association of nuclear eNOS with 81 proteins involved in RNA binding and processing. Among the latter was double-stranded RNA-specific adenosine deaminase (ADAR1), an enzyme involved in editing double-stranded RNA (dsRNA) via the deamination of adenosine (A) to inosine (I). ADAR1 was S-nitrosated in human endothelial cells, and the knockdown of eNOS resulted in altered ADAR1-mediated A-to-I editing and an increase in dsRNA. Mitochondrial antiviral signaling protein (MAVS) was the transcript most affected by eNOS depletion, and endothelial cells lacking eNOS accumulated dsRNA as well as MAVS protein aggregates. These changes resulted in activation of the type I interferon (IFN) signaling pathway and a marked downregulation of cell cycle-related genes. ADAR1 depletion elicited similar effects on the activation of type I IFN signaling. As a result, growth factor-stimulated cell proliferation was abrogated and basal as well as stimulated cell death were increased. Endothelial dysfunction in mice as well as in subjects with atherosclerosis was accompanied by the accumulation of dsRNA and the activation of the type I IFN signaling. Preserving NO bioavailability in vivo in an eNOS gain-of-function mouse model (Tyr657Phe eNOS) prevented these effects. ConclusionsOur findings have uncovered a novel mechanism linking nuclear eNOS-derived NO with the activity of ADAR1 to maintain vascular homeostasis. Reduced NO bioavailability results in the previously unrecognized activation of a type I IFN response in the endothelium, which contributes to atherogenesis.

physiology↗

bioRxiv2022

TF-COMB - discovering grammar of transcription factor binding sites

Cooperativity between transcription factors is important to regulate target gene expression. In particular, the binding grammar of TFs in relation to each other, as well as in the context of other genomic elements, is crucial for TF functionality. However, tools to easily uncover co-occurrence between DNA-binding proteins, and investigate the regulatory modules of TFs, are limited. Here we present TF-COMB (Transcription Factor Co-Occurrence using Market Basket analysis) - a tool to investigate co-occurring TFs and binding grammar within regulatory regions. We found that TF-COMB can accurately identify known co-occurring TFs from ChIP-seq data, as well as uncover preferential localization to other genomic elements. With the use of ATAC-seq footprinting and TF motif locations, we found that TFs exhibit both preferred orientation and distance in relation to each other, and that these are biologically significant. Finally, we extended the analysis to not only investigate individual TF pairs, but also TF pairs in the context of networks, which enabled the investigation of TF complexes and TF hubs. In conclusion, TF-COMB is a flexible tool to investigate various aspects of TF binding grammar. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=101 SRC="FIGDIR/small/496953v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@e37cccorg.highwire.dtl.DTLVardef@1165241org.highwire.dtl.DTLVardef@725a2corg.highwire.dtl.DTLVardef@17e1893_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2020

i2dash: Creation of Flexible, Interactive and Web-based Dashboards for Visualization of Omics-pipeline Results

Data visualization and interactive data exploration are important aspects of illustrating complex concepts and results from analyses of omics data. A suitable visualization has to be intuitive and accessible. Web-based dashboards have become popular tools for the arrangement, consolidation and display of such visualizations. However, the combination of automated data processing pipelines handling omics data and dynamically generated, interactive dashboards is poorly solved. Here, we present i2dash, an R package intended to encapsulate functionality for programmatic creation of customized dashboards. It supports interactive and responsive (linked) visualizations across a set of predefined graphical layouts. i2dash addresses the needs of data analysts for a tool that is compatible and attachable to any R-based analysis pipeline, thereby fostering the separation of data visualization on one hand and data analysis tasks on the other hand. In addition, the generic design of i2dash enables data analysts to generate modular extensions for specific needs. As a proof of principle, we provide an extension of i2dash optimized for single-cell RNA-sequencing analysis, supporting the creation of dashboards for the visualization needs of single-cell sequencing experiments. Equipped with these features, i2dash is suitable for extensive use in large scale sequencing/bioinformatics facilities. Along this line, we provide i2dash as a containerized solution, enabling a straightforward large-scale deployment and sharing of dashboards using cloud services.i2dash is freely available via the R package archive CRAN.Competing Interest StatementThe authors have declared no competing interest.View Full Text

bioinformatics↗

bioRxiv2020

multicrispr: fast gRNA designer enables prime editing and parallel targeting of thousands of targets

Targeting the coding genome to introduce single nucleotide deletions/insertions via Crispr/Cas9 technology has become a standard procedure in recent years. It has quickly spawned a multitude of methods such as Prime Editing, Crispr/Cas9 assisted APEX proximity labeling of proteins, or homology directed repair (HDR), for which supporting bioinformatic tools are, however, lagging behind. New applications often require specific guide-RNA (gRNA) design functionality, and a generic gRNA design tool is critically missing. Here we review gRNA designer software and introduce multicrispr, an R based tool intended to design individual gRNAs as well as gRNA libraries targeting many genomic loci in parallel. The package is easy to use, detects, scores and filters gRNAs on both efficiency and specificity, visualizes and aggregates results per target or Crispr/Cas9 sequence, and finally returns both genomic ranges as well as sequences of preferred, off target-free gRNAs. In order to be generic, multicrispr defines and implements a genomic arithmetics framework as a basis for facile adaptation to techniques yet to arise. Its performance and new gRNA design concepts such as target set specific filtering for gRNA libraries render multicrispr the tool of choice when dealing with screening-like approaches.

bioinformatics↗

bioRxiv2019

Beyond accessibility: ATAC-seq footprinting unravels kinetics of transcription factor binding during zygotic genome activation

While footprinting analysis of ATAC-seq data can theoretically enable investigation of transcription factor (TF) binding, the lack of a computational tool able to conduct different levels of footprinting analysis has so-far hindered the widespread application of this method. Here we present TOBIAS, a comprehensive, accurate, and fast footprinting framework enabling genome-wide investigation of TF binding dynamics for hundreds of TFs simultaneously. As a proof-of-concept, we illustrate how TOBIAS can unveil complex TF dynamics during zygotic genome activation (ZGA) in both humans and mice, and explore how zygotic Dux activates cascades of TFs, binds to repeat elements and induces expression of novel genetic elements. TOBIAS is freely available at: https://github.com/loosolab/TOBIAS.

bioinformatics↗

bioRxiv2019

Cardiac valve regeneration in adult zebrafish: importance of TGF-β signaling in new tissue formation

Cardiac valve disease can lead to severe cardiac dysfunction and is thus a frequent cause of morbidity and mortality. Its main treatment is valve replacement, which is currently greatly limited by the poor recellularization and tissue formation potential of the implanted valves. As we still lack suitable animal models to identify modulators of these processes, here we used the adult zebrafish and found that, upon valve decellularization, they initiate a striking regenerative program that leads to the formation of new functional valves. After injury, endothelial and kidney marrow-derived cells undergo cell cycle re-entry and differentiate into new extracellular matrix-secreting valve cells. The Transforming Growth Factor beta (TGF{beta}) signaling pathway promotes this process by enhancing progenitor cell proliferation as well as valve cell differentiation. These findings reveal a key role for TGF{beta} signaling in valve regeneration and also establish the zebrafish as a model to identify and test factors promoting valve recellularization and growth.

developmental biology↗

bioRxiv2018

Genome-wide strategies reveal target genes of Npas4l associated with cardiovascular development in zebrafish

The development of a vascular network is essential to nourish tissues and sustain organ function throughout life. Endothelial cells (ECs) are the building blocks of blood vessels, yet our understanding of EC specification remains incomplete. zebrafish cloche/npas4l mutants have been used broadly as an avascular model, but little is known about the molecular mechanisms of action of the Npas4l transcription factor. Here, to identify its direct and indirect target genes, we combined complementary genome-wide approaches including transcriptome analyses and chromatin immunoprecipitation (ChIP). The cross-analysis of these datasets indicates that Npas4l functions as a master regulator by directly inducing a group of transcription factor genes crucial for hematoendothelial specification such as etv2, tal1 and lmo2. We also identified new targets of Npas4l and investigated the function of a subset of them using the CRISPR/Cas9 technology. Phenotypic characterization of tspan18b mutants reveals a novel player in developmental angiogenesis, confirming the reliability of the datasets generated. Collectively, these data represent a useful resource for future studies aimed to better understand EC fate determination and vascular development.

developmental biology↗

bioRxiv2018

Genetic compensation is triggered by mutant mRNA degradation

Genetic compensation by transcriptional modulation of related gene(s) (also known as transcriptional adaptation) has been reported in numerous systems 1-3; however, whether and how such a response can be activated in the absence of protein feedback loops is unknown. Here, we develop and analyze several models of transcriptional adaptation in zebrafish and mouse that we show are not caused by loss of protein function. We find that the increase in transcript levels is due to enhanced transcription, and observe a correlation between the levels of mutant mRNA decay and transcriptional upregulation of related genes. To assess the role of mutant mRNA degradation in triggering transcriptional adaptation, we use genetic and pharmacological approaches and find that mRNA degradation is indeed required for this process. Notably, uncapped RNAs, themselves subjected to rapid degradation, can also induce transcriptional adaptation. Next, we generate alleles that fail to transcribe the mutated gene and find that they do not show transcriptional adaptation, and exhibit more severe phenotypes than those observed in alleles displaying mutant mRNA decay. Transcriptome analysis of these different alleles reveals the upregulation of hundreds of genes with enrichment for those showing sequence similarity with the mutated genes mRNA, suggesting a model whereby mRNA degradation products induce the response via sequence similarity. These results expand the role of the mRNA surveillance machinery in buffering against mutations by triggering the transcriptional upregulation of related genes. Besides implications for our understanding of disease-causing mutations, our findings will help design mutant alleles with minimal transcriptional adaptation-derived compensation.

genetics↗

bioRxiv2018

UROPA GUI: A web platform for genomic region annotation

The annotation of genomic ranges such as peaks resulting from ChIP-seq/ATAC-seq or other techniques represents a fundamental task of bioinformatics analysis with considerable impact on many downstream analyses. In our previous work, we introduced the Universal Robust Peak Annotator (UROPA), a flexible command line based tool which improves upon the functionality of existing annotation software. In order to reduce the complexity for biologists and clinicians, we have implemented an intuitive web-based graphical user interface (GUI) and fully functional service platform for UROPA. This extension will empower all users to generate annotations for regions of interest interactively.\n\nAvailability and ImplementationThe open source UROPA GUI server was implemented in R Shiny and Python and is available from http://loosolab.mpi-bn.mpg.de. The source code of our App can be downloaded at https://github.molgen.mpg.de/loosolab/UROPA_GUI under the MIT license.

bioinformatics↗

bioRxiv2017

Single-cell transcriptional regulations and accessible chromatin landscape of cell fate decisions in early heart development

Formation and segregation of the cell lineages forming the vertebrate heart have been studied extensively by genetic cell tracing techniques and by analysis of single marker gene expression both in embryos and differentiating ES cells. However, the underlying gene regulatory networks driving cell fate transitions during early cardiogenesis is only partially understood, in part due to limited cell numbers and substantial cellular heterogeneity within the early embryo. Here, we comprehensively characterized cardiac progenitor cells (CPC) marked by Nkx2-5 and Isl1 expression from embryonic days E7.5 to E9.5 using single-cell RNA sequencing. By leveraging on cell-to-cell heterogeneity, we identified different previously unknown cardiac sub-populations. Reconstruction of the developmental trajectory revealed that Isl1+ CPC represent a transitional cell population maintaining a prolonged multipotent state, whereas extended expression of Nkx-2.5 commits CPC to a unidirectional cardiomyocyte fate. Correlation-based analysis of cells in the unstable multipotent state uncovered underlying gene regulatory networks associated with differentiation. Furthermore, we show that CPC fate transitions are associated with distinct open chromatin states, which critically depend on Isl1 for accessibility of enhancers. In contrast, forced expression of Nkx2-5 eliminated multipotency of Isl1+ cells and established a unidirectional cardiomyocyte fate. Our data provides a transcriptional map for early cardiogenic events at single-cell resolution and establishes a general model of transcriptional and epigenetic regulations during cardiac progenitor cell fate decisions.

developmental biology↗