Biology subjects

Hennes, M.

Publications and source records attributed to Hennes, M..

6 recordsLinked to original sources

bioRxiv2026

Comprehensive single cell profiling of ageing glial cells reveals impaired Wnt signalling and Jun transcription factors regulating cortical astrocytes

Understanding age-related cellular dysfunction in the brain is essential for developing strategies to promote healthy ageing. Towards this aim, we took advantage of a previously established mild dissociation method to profile cells in the cerebral cortex grey matter of adult and aged mice. This revealed glial cells with largely up-regulated and other glia and neurons with largely down-regulated gene expression upon ageing. Astrocytes were involved in increased interactions with microglia and decreased interaction with neurons, high-lighting potent age-induced changes in their regulatory roles. Single cell RNA-seq and single nuclei multiome analysis of astrocytes uncovered down-regulation of Wnt-signalling with increased expression of its inhibitors and reduced RNA and protein levels of its effectors JunB/D, acting downstream of Wnt signalling in ageing. This was confirmed by RNA-scope and immunostainings, as well as in human data. Notably, injection of JunD-expressing viral vectors in astrocytes increased their proliferation and HMGB1 levels in the aged brain, indicative of a more youthful astrocyte state. Main pointsO_LITranscriptomic analysis uncovers cell type-specific impact of ageing in the cortical grey matter, including altered intercellular communication networks. C_LIO_LIMultiomic profiling identifies dysregulated Wnt signalling in ageing cortical astrocytes. C_LIO_LIAgeing astrocytes exhibit upregulation of the Wnt signalling regulators Maml2 and Daam2, accompanied by downregulation of the AP-1 transcriptional complex component JunD. C_LIO_LIOverexpression of JunD increases proliferation after mild injury in aged astrocytes. C_LI

neuroscience↗

bioRxiv2026

Differential active adhesion and a capillary instability drive global eversion and dissemination of bacterial colonies

Attractive forces between cells determine the shape and sorting behaviour of bacterial colonies. During colony development, chemical gradients form within the colony but it is unclear how they affect cohesion. Here, we discover that such gradients trigger global eversion of proliferating colonies formed by the human pathogen Neisseria gonorrhoeae. Like a jet, the inner core flows towards the periphery where it is partially dispersed and partially spreads around the core of the colony. Living dispersed cells reform colonies leading to rapid dissemination. The eversion depends on local oxygen depletion, which reduces the activity of the molecular motors that govern self-attraction: before the eversion the colony consists of a weakly cohesive spherical core surrounded by a strongly cohesive shell. An idealized computational model reveals that in this configuration a non-linear instability occurs, akin to a capillary instability, when the thickness of the strongly interacting shell falls below a critical value. We show that the probability for eversion strongly depends on the motor-generated attractive force between bacteria. Overall, our results indicate that chemical gradients induce spontaneous symmetry breaking in a mechanically active colony, thereby triggering a non-linear shape instability. This instability generates large-scale cellular fluxes that redistribute bacteria toward environments more favourable for their growth.

biophysics↗

bioRxiv2024

Proteomic profiling of IDH-wildtype Glioblastoma Tissue and Serum uncovers prognostic Subtypes and Marker Candidates

BackgroundIDH-wildtype glioblastoma (GBM) is the most prevalent primary brain cancer with a 5-year survival rate below 10%. Despite combined treatment through extensive resection and radiochemotherapy, nine out of ten patients develop recurrences. The lack of targeted treatment options and reliable diagnostic markers for recurrent tumors remain major challenges. Methods & AimsIn this study, we present the proteomic characterization of tissue and serum from 55 initial GBM tumors and five matching recurrences, which we investigated for proteomic tumor subtypes and proteomic signatures associated with recurrence. ResultsPrimary tumors revealed four distinct subgroups through hierarchical clustering: a neuronal cluster with elevated mature neuron markers, an innate immunity cluster with increased protease expression, a mixed cluster, and a stem-cell cluster. Neurodevelopmental and inflammatory processes were identified as key factors influencing clustering, with proteolytic activity increasing relative to the degree of inflammation. An analysis comprising proteins with lower coverage confirmed and expanded this pattern. Patients in the neuronal cluster exhibited significantly longer survival compared to those in the stem-cell cluster. In a patient-matched differential expression analysis, five recurrent tumors displayed significantly altered protein expression compared to their primary counterparts, emphasizing the proteomic plasticity of recurrent tumors. Investigation of serum proteomes before and after surgery, using a depletion-based protocol, revealed highly patient-specific and stable proteome compositions, despite a notable increase in inflammation markers post-surgery. However, the levels of circulating proteolytic products matched to the proteolytic activity within the tissue and one fragment of proteolysis activated receptor 2 (PAR2) consistently dropped in abundance after removal of inflamed tumors. ConclusionOverall, we describe a large proteomic GBM cohort. We identified distinct tumor subgroups, molecular patterns of recurrence, and matching proteomic patterns in the bloodstream, which may improve risk prediction for recurrent GBM.

cancer biology↗

bioRxiv2022

Collective polarization dynamics in gonococcal colonies

Membrane potential in bacterial systems has been shown to be dynamic and tightly related to survivability at the single cell level. However, little is known about spatio-temporal patterns of membrane potential in bacterial colonies and biofilms. Here, we discovered a switch from uncorrelated to collective dynamics within colonies formed by the human pathogen Neisseria gonorrhoeae. In freshly assembled colonies, polarization is heterogeneous with instances of transient and uncorrelated hyper- or depolarization of individual cells. As colonies reach a critical size, the polarization behaviour switches to collective dynamics: A hyperpolarized shell forms at the centre, travels radially outward, and halts several micrometres from the colony periphery. Once the shell has passed, we detect an influx of potassium correlated with depolarisation. Transient hyperpolarization also demarks the transition from volume to surface growth. By combining simulations and the use of an alternative electron acceptor for the respiratory chain, we provide strong evidence that local oxygen gradients shape the collective polarization dynamics. Finally, we show that within the hyperpolarized shell, tolerance against aminoglycoside antibiotics but not against {beta}-lactam antibiotics is increased, suggesting that depolarization instantaneously protects cells, while the protective effect of growth arrest does not set in immediately. These findings highlight that the polarization pattern can demark the differentiation into distinct subpopulations with different growth rates and antibiotic tolerance. Significance statementAt the level of single bacteria, membrane potential is surprisingly dynamic and transient hyperpolarization has been associated with increased death rate. Yet, little is known about the spatiotemporal dynamics of membrane polarization during biofilm development. Here, we reveal a discrete transition from uncorrelated to collective polarization dynamics within spherical colonies. Suddenly, a shell of hyperpolarized cells forms at the colony centre and hyperpolarization travels radially outward. In the wake of this shell, bacteria depolarize, reduce their growth rate, and become tolerant against antibiotics, indicating the onset of habitat diversity. Single cell live imaging and modelling link hyperpolarization to an oxygen gradient formed within the colonies. We anticipate that dynamical polarization patterns are tightly connected to biofilm differentiation in various bacterial species.

biophysics↗

bioRxiv2021

Spatio-temporal dynamics of growth and death within spherical bacterial colonies

Bacterial growth within colonies and biofilms is heterogeneous. Local reduction of growth rates has been associated with tolerance against various antibiotics. However, spatial gradients of growth rates are poorly characterized in three-dimensional bacterial colonies. Here, we report two spatially resolved methods for measuring growth rates in bacterial colonies. As bacteria grow and divide, they generate a velocity field that is directly related to the growth rates. We derive profiles of growth rates from the velocity field and show that they are consistent with the profiles obtained by single cell counting. Using these methods, we reveal that even small colonies comprising a few thousand cells of the human pathogen Neisseria gonorrhoeae develop a steep gradient of growth rates within two generations. Furthermore, we show that stringent response decelerates growth inhibition at the colony centre. Based on our results, we suggest that aggregation-related growth inhibition can protect gonococci from external stresses even at early biofilm stages.

biophysics↗

bioRxiv2020

Antibiotics modulate attractive interactions in bacterial colonies affecting survivability under combined treatment

Biofilm formation protects bacteria from antibiotics. Very little is known about the response of biofilm-dwelling bacteria to antibiotics at the single cell level. Here, we developed a cell-tracking approach to investigate how antibiotics affect structure and dynamics of colonies formed by the human pathogen Neisseria gonorrhoeae. Antibiotics targeting different cellular functions enlarge the cell volumes and modulate within-colony motility. Focusing on azithromycin and ceftriaxone, we identify changes in type 4 pilus (T4P) mediated cell-to-cell attraction as the molecular mechanism for different effects on motility. By using strongly attractive mutant strains, we reveal that the survivability under ceftriaxone treatment depends on motility. Combining our results, we find that sequential treatment with azithromycin and ceftriaxone is synergistic. Taken together, we demonstrate that antibiotics modulate T4P-mediated attractions and hence cell motility and colony fluidity. Author SummaryAggregation into colonies and biofilms can enhance bacterial survivability under antibiotic treatment. Aggregation requires modulation of attractive forces between neighboring bacteria, yet the link between attraction and survivability is poorly characterized. Here, we quantify these attractive interactions and show that different antibiotics enhance or inhibit them. Live-cell tracking of single cells in spherical colonies enables us to correlate attractive interactions with single cell motility and colony fluidity. Even moderate changes in cell-to-cell attraction caused by antibiotics strongly impact on within-colony motility. Vice versa, we reveal that motility correlates with survivability under antibiotic treatment. In summary, we demonstrate a link between cellular attraction, colony fluidity, and survivability with the potential to optimize the treatment strategy of commonly used drug combinations.

microbiology↗