Biology subjects

Richter, O.

Publications and source records attributed to Richter, O..

4 recordsLinked to original sources

bioRxiv2026

Learning the wiring rules of a mammalian cortical column

Characterization of neural circuits architecture typically relies on measurable neuronal features such as morphology, molecular identity, and spatial location. While generative models lever-aging these properties have proven accurate, they remain constrained by available measurements and our assumptions regarding the prospective features. Here, we present an alternative approach using representational learning and use it to model the circuitry of a column of the mouse primary visual cortex. Our framework learns jointly low-dimensional embeddings of neurons in an abstract feature space alongside wiring rules that predict synaptic connectivity. These embedding-based models accurately predict individual synapses, connectivity degrees, and network motif statistics -- outperforming standard generative models that depend on detailed cell-type classifications -- using only a handful of embedding dimensions and wiring rules. Crucially, the learned representations prove interpretable, recapitulating cortical depth, cell type, and dendritic morphology. The resulting wiring blueprint is both simple and biologically meaningful, suggesting that cortical connectivity follows surprisingly parsimonious logic. This framework offers a general and exportable tool for learning minimal generative models of connectomes.

neuroscience↗

bioRxiv2026

Stage-Specific Regulation of DNA Damage Repair by the Circadian Regulator, CRY1, in Prostate Cancer

Circadian dysregulation is increasingly linked to prostate cancer (PCa) progression, yet its role in directing DNA damage response (DDR) pathway selection remains poorly understood. Here, we identify circadian cryptochrome 1 (CRY1), a core circadian regulator, as a stage-specific determinant of DDR dependencies. Integrated transcriptomic and CRISPR-based analyses reveal that CRY1 promotes non-homologous end joining (NHEJ) and base excision repair (BER)-associated programs in hormone-sensitive disease (HTS), while driving a switch toward homologous recombination (HR) dependency in castration-resistant prostate cancer (CRPC). Mechanistically, CRY1 couples proliferative signaling to genome maintenance, enabling tumor cells to tolerate genotoxic stress and sustain progression. Notably, loss of CRY1 exposes distinct, context-dependent DDR vulnerabilities, revealing repair plasticity as a targetable actionable feature of disease evolution. These findings position CRY1 as a central regulator of DDR rewiring and support CRY1-directed combination strategies with DDR inhibitors as a rationale to delay or prevent progression to advanced, treatment-resistant PCa.

cancer biology↗

bioRxiv2024

Mitochondrial reactive oxygen species cause arrhythmias in hypertrophic cardiomyopathy

Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiac disease and caused by genetic variants that often increase sarcomeric Ca2+ sensitivity. While Ca2+ sensitization explains diastolic dysfunction, the genesis of ventricular arrhythmias is unresolved. Here, we show that HCM mutations or pharmacological interventions that increase myofilament Ca2+ sensitivity generate bioenergetic mismatch and oxidative stress during {beta}-adrenergic stimulation which provide a trigger and a substrate for arrhythmias. For any given sarcomere shortening that produces work and consumes ATP, less Ca2+ stimulates the Krebs cycle to maintain mitochondrial NADH. This reverses the mitochondrial transhydrogenase to regenerate NADH from NADPH, supporting ATP production at the cost of NADPH-dependent antioxidative capacity. The ensuing overflow of reactive oxygen species (ROS) from mitochondria and glutathione oxidation induce spontaneous Ca2+ release from the sarcoplasmic reticulum and Ca2+ waves, well-defined triggers of arrhythmias. Furthermore, transhydrogenase-dependent ROS formation slows electrical conduction during {beta}-adrenergic stimulation in vivo, providing a substrate for arrhythmias. Chronic treatment with a mitochondrially-targeted ROS scavenger abolishes the arrhythmic burden during {beta}-adrenergic stimulation in HCM mice in vivo, while inducing mitochondrial ROS with a redox cycler is sufficient to induce arrhythmias in wild-type animals. These findings may lead to new strategies to prevent sudden cardiac death in patients with HCM.

physiology↗

bioRxiv2024

Building a small brain with a simple stochastic generative model

The architectures of biological neural networks result from developmental processes shaped by genetically encoded rules, biophysical constraints, stochasticity, and learning. Understanding these processes is crucial for comprehending neural circuits structure and function. The ability to reconstruct neural circuits, and even entire nervous systems, at the neuron and synapse level, facilitates the study of the design principles of neural systems and their developmental plan. Here, we investigate the developing connectome of C. elegans using statistical generative models based on simple biological features: neuronal cell type, neuron birth time, cell body distance, reciprocity, and synaptic pruning. Our models accurately predict synapse existence, degree profiles of individual neurons, and statistics of small network motifs. Importantly, these models require a surprisingly small number of neuronal cell types, which we infer and characterize. We further show that to replicate the experimentally-observed developmental path, multiple developmental epochs are necessary. Validation of our models predictions of the synaptic connections using multiple reconstructions of adult worms suggests that our model identified the fundamental "backbone" of the connectivity graph. The accuracy of the generative statistical models we use here offers a general framework for studying how connectomes develop and the underlying principles of their design.

neuroscience↗