Biology subjects

Ebert, S.

Publications and source records attributed to Ebert, S..

12 recordsLinked to original sources

bioRxiv2026

Hexose-6-phosphate dehydrogenase deficiency disrupts hepatic fatty acid homeostasis and induces triglyceride accumulation

Hexose-6-phosphate dehydrogenase (H6PD) catalyzes the first two steps of an endoplasmic reticulum-specific pentose phosphate pathway, regenerating luminal NADPH levels in the process. Its function remains insufficiently well understood. Since expression of H6PD is notably high in the liver, we aimed to assess its role in hepatic metabolism. Considering the central role of the liver in lipid synthesis, breakdown and storage, we focused our efforts specifically on studying the effect of H6PD on hepatic lipid metabolism. An H6PD knockout mice strain was generated and characterized by liquid chromatography-high-resolution mass spectrometry (LC-HRMS)-based lipidomic and proteomic analyses of liver tissue. Lipidomics analysis revealed an overall increase in hepatic triglycerides and a specific increase in unsaturated long-chain triglycerides in H6PD knockout mice. Intracellular lipid accumulation was confirmed through Nile Red staining of liver sections. Functional enrichment analysis of proteomics data from the H6PD deficient mice identified a corresponding upregulation of multiple fatty acid metabolism-associated pathways. Additionally, an H6PD knockout AML12 cell line was generated through CRISPR/Cas9 and characterized by lipid staining and functional assays to assess metabolic outcomes. Loss of H6PD led to intracellular lipid accumulation, reduced mitochondrial {beta}-oxidation and increased sensitivity to lipotoxicity, even though fatty acids remained the cells' primary mitochondrial fuel. Ultimately, our results indicate that H6PD plays an as-of-yet undescribed role in hepatic lipid metabolism, implying a link between the availability of NADPH within the endoplasmic reticulum and fatty acid homeostasis.

systems biology↗

bioRxiv2026

DLC1 loss drives multicellular streaming invasion by enforcing spatially coordinated Rho and β1 integrin signaling

Efficient cancer cell invasion requires coordinated control of actomyosin contractility, extracellular matrix (ECM) engagement and remodeling, yet how these processes are integrated in complex, three-dimensional (3D) environments remains unclear. Here, we identify the tumor suppressor and RhoGAP protein DLC1 as molecular brake on multicellular streaming invasion in collagen-rich ECM. Using CRISPRoff-engineered breast cancer spheroids, DLC1 reconstitution models and patient-derived organoids embedded in collagen gels, we show that DLC1 downregulation promotes an efficient multicellular streaming phenotype. This invasion program requires matrix metalloproteinase activity, {beta}1 integrin engagement and Rho-ROCK-dependent actomyosin contractility. Mechanistically, DLC1 downregulation stabilized the rear-polarization of RhoA activity and increased {beta}1 integrin abundance, plasma membrane localization and activation. Separation-of-function mutants revealed that DLC1 restrains invasion through a dual mechanism: its RhoGAP activity limited actomyosin-driven streaming, whereas its LD-like talin-binding motif controlled {beta}1 integrin enrichment at the plasma membrane. Together, our findings provide a molecular basis for the prominent role of DLC1 as a metastasis suppressor.

Cancer Biology↗

bioRxiv2026

Eyewire II - A connectomic resource for resolving cell types and circuits of the mouse retina

Comprehensive wiring diagrams from electron microscopy (EM) are a powerful tool to understand the inner workings of the brain. The retina is an easily accessible part of the brain that performs complex visual computations. Its thin, layered structure offers a unique opportunity to decipher neural cell types and map their connectivity. A major obstacle has been the limited size of existing retinal EM datasets, which could not resolve rare cell types and neurons with large dendritic arbors. Here, we describe Eyewire II, a large-scale EM dataset covering nearly 1 mm2 of the adult mouse retina - roughly 10-100 times larger than previous retinal EM volumes. Human proofreading of an automated reconstruction has so far yielded more than 8, 000 bipolar cells, 13, 000 amacrine cells, and 4, 000 retinal ganglion cells. Automated detection is complete for synaptic ribbons and in progress for conventional synapses. Prior to EM imaging, visual responses to diverse stimuli - including natural movies - were recorded in a subset of neurons using two-photon Ca2+ imaging, enabling direct alignment of morphological and functional cell type identity. To enable high-throughput, automatic cell typing, we devised a human-in-the-loop approach that combines deep learning with human expert annotations. As a proof-of-principle, we show that morphological features of reconstructed bipolar cells are sufficient to recover all 15 known bipolar cell types with regular, non-overlapping mosaics. Together, these data and tools establish Eyewire II as a shared resource for the field of retina research. Already now, more than 30 laboratories worldwide are contributing proofreading, expert annotations, and software tools, advancing Eyewire II towards a complete cell type catalog and synaptic wiring diagram of a mammalian retina.

neuroscience↗

bioRxiv2026

Mapping the MIF-2 Chemokine Interactome Reveals MIF-2-CCL20 Complex Formation in Liver Fibrosis

D-dopachrome tautomerase (D-DT/MIF-2) is an inflammatory cytokine, atypical chemokine (ACK) and member of the macrophage migration-inhibitory factor (MIF) family. While interactions among classical chemokines (CKs) are established, ACK-CK interactions remain underexplored. Here, we screened for MIF-2 binding-partners using a protein array encompassing all CKs and selected ACKs, and validated candidate interactors by surface-plasmon resonance. CCL20/MIP-3 was prioritized based on RNA-sequencing suggesting induction during liver fibrosis. MIF-2/CCL20 complex formation was verified by microscale thermophoresis and interaction interfaces mapped using peptide array and in-silico modeling. The deduced binding-site near the MIF-2 tautomerase pocket was consistent with inhibition of its tautomerase activity by CCL20. We found both proteins abundantly expressed in human liver tissue, with a positive correlation. Pull-down confirmed complex formation and proximity ligation assay demonstrated MIF-2/CCL20 complexes in liver in situ, with higher levels in fibrotic tissue. Functionally, MIF-2/CCL20 complexes suppressed MIF-2-driven CD4 T-cell chemotaxis and fibroblast IL-6 secretion, indicating modulation of immune and stromal responses. This study extends the ACK interactome to MIF-2 and suggests ACK/CK complexes modulate chemokine activities in liver fibrosis.

immunology↗

bioRxiv2026

VIP+ amacrine cells synchronize neural activity in the retina

In early sensory circuits, inhibitory interneurons are best known for mediating lateral inhibition, gain control, and feature selectivity, but their roles at the population level are less understood. Using two-photon digital holography, we found that in the retina, vasoactive intestinal peptide-expressing (VIP+) amacrine cells not only inhibit some retinal ganglion cell types via GABAergic synapses but also excite specific other types through gap junctions. Selective knockout of these junctions abolished synchronized firing among these ganglion cells, showing that VIP+ amacrine cells coordinate their activity. Thus, VIP+ interneurons have a dual, cell-type-specific role: synchronizing some ganglion cells electrically while inhibiting others chemically, thereby differentially shaping retinal output.

neuroscience↗

bioRxiv2025

Distinct inhibitory connectivity motifs trigger distinct forms of anticipation in the retinal network

Motion is an important feature of visual scenes and retinal neuronal circuits selectively signal different motion features. It has been shown that the retina can extrapolate the position of a moving object, thereby compensating sensory transmission delays and enabling signal processing in real-time. Amacrine cells, the inhibitory interneurons of the retina, play essential roles in such computations although their precise function remain unclear. Here, we computationally explore the effect of two different inhibitory connectivity motifs on the retinas response to moving objects: feed-forward and recurrent feed-back inhibition. We show that both can account for motion anticipation with two different mechanisms. Feed-forward inhibition truncates motion responses and shifts peak responses forward via subtractive inhibition, whereas recurrent feedback coupling evokes, via divisive inhibition, excitatory and inhibitory waves with different phases that add up and shift the response peak. A key difference between the two mechanisms is how the peak response scales with the speed of a moving object. Motion prediction with feedforward circuits monotonically decreases with increasing speeds, while recurrent feedback coupling induces tuning curves that exhibit a preferred speed for which motion prediction is maximal.

neuroscience↗

bioRxiv2024

Cytomegalovirus inhibitors of programmed cell death prevent a contribution of antigen cross-presentation to the priming of antiviral CD8 T cells

CD8 T cells are the predominant effector cells of adaptive immunity in preventing cytomegalovirus (CMV) multiple-organ disease caused by cytopathogenic tissue infection. The mechanism by which CMV-specific, naive CD8 T cells become primed and clonally expand is of fundamental importance for our understanding of CMV immune control. For CD8 T-cell priming, two pathways have been identified: direct antigen presentation by infected professional antigen-presenting cells (pAPCs) and antigen cross-presentation by uninfected pAPCs that take up antigenic material derived from infected tissue cells. Studies in mouse models using murine CMV (mCMV) and precluding either pathway genetically or experimentally have shown that, in principle, both pathways can congruently generate the mouse MHC/H-2 class-I-determined epitope-specificity spectrum of the CD8 T-cell response. Own recent studies, however, have shown that direct antigen presentation is the canonical pathway when both are accessible. This raised the question of why antigen cross-presentation is ineffective even under conditions of high virus replication thought to provide high amounts of antigenic material for feeding cross-presenting pAPCs. As delivery of antigenic material for cross-presentation is associated with programmed cell death, and as CMVs encode inhibitors of different cell death pathways, we pursued the idea that these inhibitors restrict antigen delivery and thus CD8 T-cell priming by cross-presentation. To test this hypothesis, we compared the CD8 T-cell responses to recombinant mCMVs lacking expression of the apoptosis-inhibiting protein M36 or the necroptosis-inhibiting protein M45 with responses to wild-type mCMV and revertant viruses expressing the respective cell death inhibitors. The data reveal that increased programmed cell death caused by deletion of either M36 or M45 improves CD8 T-cell priming in mice capable of antigen cross-presentation but not in a mutant mouse strain unable to cross-present. These findings strongly support the conclusion that CMV cell death inhibitors restrict the priming of CD8 T cells by antigen cross-presentation. Author SummaryIn patients as well as in experimental mouse models, CD8 T cells represent the most potent antiviral effector cells in preventing CMV disease in immunocompromised recipients of hematopoietic cell transplantation. Despite the clinical relevance of mounting a protective response, the mode of CMV antigen presentation to naive CD8 T cells remained unclear. In principle, naive CD8 T cells can be sensitized through "direct antigen presentation" on the surface of infected professional antigen-presenting cells (pAPCs) or through "antigen cross-presentation" by uninfected pAPCs that take up antigenic material derived from infected cells following cell death. As CMVs are cytopathogenic, eventually killing their host cells, and as they encode immune evasion proteins interfering with the MHC/HLA class-I pathway of direct antigen presentation in infected cells, it was reasonable to propose a dominant role for antigen cross-presentation. Mouse models precluding either pathway, however, revealed that both can raise an equivalent CD8 T-cell response, and recent work has identified direct antigen presentation as the canonical pathway taken when both are accessible. Here we show that virus-encoded inhibitors of two programmed cell death modalities, apoptosis and necroptosis, prevent an antigen release sufficient for a notable cross-presentation. This answers a long-debated open question in CMV immunology.

immunology↗

bioRxiv2023

Temporal pattern recognition in retinal ganglion cells is mediated by dynamical inhibitory synapses

A fundamental task for the brain is to generate predictions of future sensory inputs, and signal errors in these predictions. Many neurons have been shown to signal omitted stimuli during periodic stimulation, even in the retina. However, the mechanisms of this error signaling are unclear. Here we show that depressing inhibitory synapses enable the retina to signal an omitted stimulus in a flash sequence. While ganglion cells, the retinal output, responded to an omitted flash with a constant latency over many frequencies of the flash sequence, we found that this was not the case once inhibition was blocked. We built a simple circuit model and showed that depressing inhibitory synapses were a necessary component to reproduce our experimental findings. We also generated new predictions with this model, that we confirmed experimentally. Depressing inhibitory synapses could thus be a key component to generate the predictive responses observed in many brain areas.

neuroscience↗

bioRxiv2020

Ngn2 induces diverse neuronal lineages from human pluripotency

Human neurons engineered from induced pluripotent stem cells (iPSCs) through Neurogenin 2 (Ngn2) overexpression are widely used to study neuronal differentiation mechanisms and to model neurological diseases. However, the differentiation paths and heterogeneity of emerged neurons have not been fully explored. Here we used single-cell transcriptomics to dissect the cell states that emerge during Ngn2 overexpression across a time course from pluripotency to neuron functional maturation. We find a substantial molecular heterogeneity in the neuron types generated, with at least two populations that express genes associated with neurons of the peripheral nervous system. Neuron heterogeneity is observed across multiple iPSC clones and lines from different individuals. We find that neuron fate acquisition is sensitive to Ngn2 expression level and the duration of Ngn2 forced expression. Our data reveals that Ngn2 dosage can regulate neuron fate acquisition, and that Ngn2-iN heterogeneity can confound results that are sensitive to neuron type.

neuroscience↗

bioRxiv2020

Comparison of induced neurons reveals slower structural and functional maturation in humans than in apes

We generated induced excitatory sensory neurons (iNeurons, iNs) from chimpanzee, bonobo and human stem cells by expressing the transcription factor neurogenin-2 (NGN2). Single cell-RNA sequencing showed that genes involved in dendrite and synapse development are expressed earlier during iNs maturation in the chimpanzee than the human cells. In accordance, during the first two weeks of differentiation, chimpanzee and bonobo iNs showed repetitive action potentials and more spontaneous excitatory activity than human iNs, and extended neurites of higher total length. However, the axons of human iNs were slightly longer at 5 weeks of differentiation. The timing of the establishment of neuronal polarity did not differ between the species. Chimpanzee, bonobo and human neurites eventually reached the same level of structural complexity. Thus, human iNs develop slower than chimpanzee and bonobo iNs and this difference in timing likely depends on functions downstream of NGN2.

evolutionary biology↗

bioRxiv2020

Skeletal muscle DNMT3A plays a necessary role in endurance exercise by regulating oxidative capacity of red muscles

Exercise interventions alter the DNA methylation profile in skeletal muscle, yet little is known about the role of the DNA methylation machinery in exercise capacity. In this study, we found that in oxidative red muscle, DNMT3A expression increases greatly following a bout of endurance exercise. Mice lacking Dnmt3a in skeletal muscle fibers had reduced tolerance to endurance exercise, accompanied by reduced oxidative capacity and reduced mitochondrial counts. Moreover, during exercise, the knockout muscles overproduced reactive oxygen species (ROS), which are major contributors to muscle dysfunction. In mechanistic terms, we demonstrated that Aldh1l1 is a key target of repression by DNMT3A in red muscles. DNMT3A directly regulated the Aldh1l1 transcription by binding to the Aldh1l1 promoter region and altering DNA methylation and histone modification. Enforcing ALDH1L1 expression, leading to elevated NADPH, led to overproduction of ROS by the NADPH oxidase complex (NOX) in myotubes, ultimately resulting in mitochondrial defects. Moreover, both genetic inhibition of ALDH1L1 and pharmacological inhibition of NOX rescued oxidative stress and mitochondrial decline in Dnmt3a-deficient myotubes, confirming the essential role of ALDH1L1-dependent ROS generation as a downstream effector of DNMT3A loss of function. Together, our results reveal that DNMT3A in skeletal muscle plays a pivotal role in endurance exercise by controlling intracellular oxidative stress.

cell biology↗

bioRxiv2020

Cluster similarity spectrum integration of single-cell genomics data

Technologies to sequence the transcriptome, genome or epigenome from thousands of single cells in an experiment provide extraordinary resolution into the molecular states present within a complex biological system at any given moment. However, it is a major challenge to integrate single-cell sequencing data across experiments, conditions, batches, timepoints and other technical considerations. New computational methods are required that can integrate samples while simultaneously preserving biological information. Here, we propose an unsupervised reference-free data representation, Cluster Similarity Spectrum (CSS), where each cell is represented by its similarities to clusters independently identified across samples. We show that CSS can be used to assess cellular heterogeneity and enable reconstruction of differentiation trajectories from cerebral organoid single-cell transcriptomic data, and to integrate data across experimental conditions and human individuals. We compare CSS to other integration algorithms and show that it can outperform other methods in certain integration scenarios. We also show that CSS allows projection of single-cell genomic data of different modalities to the CSS-represented reference atlas for visualization and cell type identity prediction. In summary, CSS provides a straightforward and powerful approach to understand and integrate challenging single-cell multi-omic data.

bioinformatics↗