Biology subjects

Hesse, J.

Publications and source records attributed to Hesse, J..

7 recordsLinked to original sources

bioRxiv2026

Consequences of sustained modulation of VIP-expressing neurons in mouse corticolimbic regions on anxiety-related avoidance behaviors, social functioning, and associative fear learning

GABAergic inhibitory neurons play a central role in shaping network dynamics, and accordingly, their dysfunction is implicated in the pathophysiology of various psychiatric, neurodevelopmental, and neurological disorders. In the past decade, studies on vasoactive intestinal polypeptide-expressing inhibitory neurons (VIP+ neurons) have positioned them as critical components of this circuitry. In particular, VIP+ neurons have been proposed to function within a canonical disinhibitory circuit motif, preferentially inhibiting other interneuron subtypes, to ultimately modulate the gain and activity of local pyramidal neurons. However, their contribution to psychiatrically relevant behavioral endophenotypes is still not fully understood, limiting our ability to target these neurons for therapeutic purposes. In the present study, we systematically assessed the functional contribution of VIP+ neurons to affective and social behaviors. To this end, we used a chemogenetic approach to manipulate the activity of VIP+ neurons in core corticolimbic regions, including the medial prefrontal cortex (mPFC), basolateral amygdala (BLA), and ventral hippocampus (vHPC). The consequences of either activating or inhibiting VIP+ neurons in these regions were observed while mice underwent a battery of behavioral tasks assessing anxiety-related avoidance behaviors, social interest and recognition, and associative fear learning. While sustained modulation of VIP+ neurons had no significant effect on anxiety-related or social behaviors in any of the brain regions assessed, it produced a robust reduction in associative fear learning specifically in the mPFC. These findings demonstrate that the consequences of sustained VIP+ neuron modulation depend on both anatomical location and behavioural context. Moreover, they identify VIP+ neurons in the mPFC as potentially clinically relevant targets for interventions aimed at modulating fear-related circuits.

neuroscience↗

bioRxiv2026

The glucocorticoid dexamethasone influences motility of the sulfate-reducing bacterium Desulfovibrio desulfuricans by targeting the filament cap protein FliD

Glucocorticoids such as dexamethasone (DXE) are first-line treatments for inflammatory bowel disease (IBD). Beyond their effects on the host immune system, accumulating evidence suggests that glucocorticoids can also influence the gut microbiota. Notably, IBD patients exhibit an increased intestinal colonization by sulfate-reducing Desulfovibrio spp. Here, we show that DXE modulates bacterial motility in the gut commensal Desulfovibrio desulfuricans through a metabolism-independent mechanism. To identify bacterial targets, we developed a DXE-derived chemical probe and performed affinity-based protein profiling, which revealed the flagellar cap protein FliD (Ddes_0530) as a principal binding partner. Structural modeling using AlphaFold3 and Boltz2 predicted DXE binding within a conserved groove of the FliD C-terminal domain. Furthermore, the tip of the flagellum of Desulfovibrio, but not that of Escherichia coli, could be fluorescently labeled with TAMRA-DXE, but not with the structurally related steroid probe TAMRA-norethiosterone, indicating that flagellar labeling is specific to DXE rather than the steroid scaffold itself. As a consequence of this interaction, transmission electron microscopy showed that DXE treatment prevented flagellation in a subpopulation and reduced flagellar length in D. desulfuricans strains ATCC 27774 and CCUG 72978, respectively. Quantitative motility tracking revealed a non-monotonic, dose-dependent modulation of swimming velocity, with peak stimulation at 10 {micro}M DXE, accompanied by straighter trajectories and enhanced net displacement. Together, these findings uncover a previously unrecognized mode of action for DXE which directly perturbs flagellar biogenesis and motility of an important gut microbiome member of IBD patients. SignificanceGlucocorticoids are widely prescribed for inflammatory conditions, yet their direct effects on gut bacteria remain largely unexplored. We demonstrate that dexamethasone, a synthetic glucocorticoid, binds to the flagellar cap protein FliD of the gut commensal Desulfovibrio desulfuricans, affecting flagellar assembly and altering motility behavior. Unlike previously characterized steroid-metabolizing bacteria such as Clostridium steroidoreducens, Desulfovibrio does not degrade dexamethasone, indicating that the observed effects result from direct drug-protein interaction. These findings establish a new paradigm for metabolism-independent drug-microbiome interactions and suggest that glucocorticoid effects on gut bacteria extend beyond enzymatic degradation pathways.

microbiology↗

bioRxiv2026

Decoding antibiotic modes of action from multimodal cellular responses

Antibiotic resistance continues to rise, yet most new drug candidates act through long-established targets. Faster mode of action (MoA) assessment would enable more effective prioritization of screening hits and help identify compounds with novel mechanisms. In this study, we aimed to develop a scalable framework for MoA inference from antibiotic-induced cellular response profiles in Escherichia coli. We generated a multimodal dataset spanning more than 50 antibiotics, including proteome profiles, chemical structure descriptors, inhibitory concentrations and growth dynamics, and used it to build MAPPER (Mode of Action Prediction via Proteomics-Enhanced Representation), a framework comprising a fixed multimodal predictor and an uncertainty module. MAPPER accurately classified antibiotics across nine mechanistic classes, flagged compounds with likely novel mechanisms and retained predictive power in proteomics-only transfer experiments across mass spectrometry platforms and external data. Together, these results establish MAPPER as an innovative tool for MoA prediction and novelty detection, enabling prioritization of antibacterial candidates with distinct mechanisms.

bioinformatics↗

bioRxiv2025

SIRT4 positively regulates autophagy via ULK1, but independently of HDAC6 and OPA1

The sirtuin SIRT4 has been implicated in the control of autophagy and mitochondrial quality control via mitophagy, but the regulatory role of SIRT4 in autophagy/mitophagy induced by different stressors is unclear. Here, we show that cells expressing SIRT4(H161Y), a catalytically inactive, dominant-negative mutant of SIRT4, fail to upregulate LC3B-II and show a reduced autophagic flux upon treatment with different inducers of mitophagy/autophagy, i.e., CoCl2-triggered pseudohypoxia, CCCP/oligomycin-mediated respiratory chain inhibition, or rapamycin treatment. Interestingly, SIRT4(H161Y) expression (i) upregulated protein levels of HDAC6, which is involved in mitochondrial trafficking and autophagosome-lysosome fusion, and (ii) inhibited the conversion of OPA1-L to OPA1-S, which is associated with increased mitochondrial fusion and decreased mitophagy. Both HDAC6 and OPA1 are SIRT4 interactors. However, pharmacological inhibition of neither HDAC6 via Tubacin nor OPA1 via MYLS22 restored the stress-induced upregulation of LC3B-II levels upon autophagy/mitophagy treatment of SIRT4(H161Y)-expressing cells. Remarkably, inhibition of autophagosome-lysosome fusion and thus disruption of late autophagic flux by BafA1 treatment also failed to restore LC3B-II levels upon autophagy/mitophagy treatment, suggesting an inhibitory effect of SIRT4(H161Y) on the initiation/early phase of autophagy. Consistent with this idea, we show that SIRT4(H161Y) promoted the phosphorylation of ULK1 at S638 and S758 (mTORC1 targets), both of which mediate an important inhibitory regulation of autophagy initiation. Thus, our data suggest a positive regulatory function of SIRT4, presumably via modulation of AMPK/mTORC1 signaling, in the ULK1-dependent early regulation/initiation of stress-induced autophagic flux.

biochemistry↗

bioRxiv2024

Defining the cardiac fibroblast secretome in the healthy and infarcted mouse heart

Cardiac fibroblasts (CF) are key players after myocardial infarction (MI), but their signaling is only incompletely understood. Here we report a first secretome atlas of CF in control (cCF) and post-MI hearts (miCF), combining a rapid cell isolation technique with SILAC and click chemistry. In CF, numerous paracrine factors involved in immune homeostasis were identified. Comparing secretome, transcriptome (SLAMseq), and cellular proteome disclosed protein turnover. In miCF at day 5 post-MI, significantly upregulated proteins included SLIT2, FN1, and CRLF1 in mouse and human samples. Comparing the miCF secretome at day 3 and 5 post-MI showed the dynamic nature of protein secretion. Specific in-vivo labeling of miCF proteins via biotin ligase TurboID using the POSTN promotor mirrored the in-vitro data. In summary, we have identified numerous paracrine factors specifically secreted from CF in mice and humans. This secretome atlas may lead to new biomarkers and/or therapeutic targets for the activated CF.

physiology↗

bioRxiv2023

A Systematic Benchmark of Machine Learning Methods for Protein-RNA Interaction Prediction

AO_SCPLOWBSTRACTC_SCPLOWRNA-binding proteins (RBPs) are central actors of RNA post-transcriptional regulation. Experiments to profile binding sites of RBPs in vivo are limited to transcripts expressed in the experimental cell type, creating the need for computational methods to infer missing binding information. While numerous machine-learning based methods have been developed for this task, their use of heterogeneous training and evaluation datasets across different sets of RBPs and CLIP-seq protocols makes a direct comparison of their performance difficult. Here, we compile a set of 37 machine learning (primarily deep learning) methods for in vivo RBP-RNA interaction prediction and systematically benchmark a subset of 11 representative methods across hundreds of CLIP-seq datasets and RBPs. Using homogenized sample pre-processing and two negative-class sample generation strategies, we evaluate methods in terms of predictive performance and assess the impact of neural network architectures and input modalities on model performance. We believe that this study will not only enable researchers to choose the optimal prediction method for their tasks at hand, but also aid method developers in developing novel, high-performing methods by introducing a standardized framework for their evaluation.

bioinformatics↗

bioRxiv2021

Single-cell transcriptomics defines heterogeneity of epicardial cells and fibroblasts within the infarcted heart

In the adult heart, the epicardium becomes activated after injury, contributing to cardiac healing by secretion of paracrine factors. Here we analyzed by single-cell RNA sequencing combined with RNA in situ hybridization and lineage tracing of WT1+ cells the cellular composition, location, and hierarchy of epicardial stromal cells (EpiSC) in comparison to activated myocardial fibroblasts/stromal cells in infarcted mouse hearts. We identified 11 transcriptionally distinct EpiSC populations, that can be classified in three groups each containing a cluster of proliferating cells. Two groups expressed cardiac specification makers and sarcomeric proteins suggestive of cardiomyogenic potential. Transcripts of HIF-1 and HIF-responsive genes were enriched in EpiSC consistent with an epicardial hypoxic niche. Expression of paracrine factors was not limited to WT1+ cells but was a general feature of activated cardiac stromal cells. Our findings provide the cellular framework by which myocardial ischemia may trigger in EpiSC the formation of cardioprotective/regenerative responses.

cell biology↗