Biology subjects

Sahota, A.

Publications and source records attributed to Sahota, A..

3 recordsLinked to original sources

bioRxiv2025

Tracking gene expression of single mitochondria in live neurons using nanotweezers

Neurons are highly polarised cells that depend on mitochondria for energy and signalling homeostasis. Importantly, energy and signalling requirements vary considerably across individual neurons both spatially and temporally. Therefore, to fully understand neuronal mitochondria, methods are needed to analyse mitochondria in live cells over time. The nanotweezer, a minimally invasive single-cell sampling technique, enables precise extraction a individual mitochondria from defined subcellular locations. Here, we combine single-mitochondrial extraction from live neurons with mitochondrial gene expression tracking and mtDNA profiling. By tracking mitochondrial gene expression in the same neurons over time, we reveal a downregulation of mitochondrial genes MT-ND1 and MT-ATP6 following exposure to -synuclein aggregates, independent of the proximity of the aggregates to the sampled mitochondria. Our approach provides precise, dynamic measurements of mitochondrial composition and gene expression in vivo at single-organelle resolution, enabling mechanistic studies of neuronal mitochondrial heterogeneity and its perturbation in models of neurodegeneration.

neuroscience↗

bioRxiv2024

Neuroligin 3 highlights sexually dimorphic circuitry in Drosophila social spacing

In Drosophila melanogaster, the autism-related Neuroligin 3 (Nlg3) protein is a postsynaptic membrane protein important for synapse development and regulation, which plays a role in social spacing behaviour. Here, we report the localization of Nlg3 to the calyx of the mushroom bodies (MB), optic lobes (OL), and protocerebral bridge (PB). Using RNA interference, nlg3 knockdown in each of these structures recapitulated the effect of knocking down it in all nlg-3 neurons. Hyperactivation and silencing of these neurons in the MB, but not the PB, controls social space in males and females, while hyperactivating and silencing of all nlg3-expressing neurons, including within the MB, PB, and OL, regulates male and female social space. Knocking down neurotransmitter biosynthesis enzymes, which decreases the amount of neurotransmitter release, showed that reducing acetylcholine release from the MB decreased female social space, whereas knocking down any dopamine receptor in the MB increased male social space. Lastly, to investigate the sexually dimorphic effects on social spacing previously seen in nlg3 mutants, we examined a subset of sexually dimorphic fruitless-expressing (fru)P1 neurons known to regulate sexually dimorphic behaviours. Hyperactivation of those fruP1 neurons decreased social space in both sexes, while silencing those fruP1 neurons specifically increased male social space without affecting females. Our findings highlight a sex-specific social space neural circuitry that includes the OL, MB, and fruP1 neurons, while uncovering the underlying basis of some of the sex differences in this behaviour. Article SummaryIn vinegar flies (Drosophila melanogaster), the autism-related Neuroligin 3 protein (Nlg3) controls neuronal development and regulation but also affects fly social behaviour. Nlg3 is localized to the mushroom bodies (MB), protocerebral bridge, and the optic lobes. We show that those structures are important in determining social space in a sex dependant manner. In addition, reducing acetylcholine release from the MB affects female social space, while reducing dopamine receptors of the MB only affect male behaviour. Finally, the fruitless sexually dimorphic neurons control social behavior differently in males and females.

animal behavior and cognition↗

bioRxiv2024

Understanding the effects of oxytocin receptor variants on OXT-OXT receptor binding: A mathematical model

Approximately half of U.S. women giving birth annually receive Pitocin, the synthetic form of oxytocin (OXT), yet its effective dose can vary significantly. This variability presents safety concerns due to unpredictable responses, which may lead to adverse outcomes for both mother and baby. To address the need for improved dosing, we developed a data-driven mathematical model to predict OXT receptor (OXTR) binding. Our study focuses on five prevalent OXTR variants (V45L, P108A, L206V, V281M, and E339K) and their impact on OXT-OXTR binding dynamics in two distinct cell types: human embryonic kidney cells (HEK293T), commonly used in experimental systems, and human myometrial smooth muscle cells, containing endogenous OXTR. We parameterized the model with cell-specific OXTR surface localization measurements. To strengthen the robustness of our study, we conducted a comprehensive meta-analysis of OXT- OXTR binding, enabling parameterization of our model with cell-specific OXT-OXTR binding kinetics (myometrial OXT-OXTR Kd = 1.6 nM, kon = 6.8 x 105 M-1 min-1, and koff = 0.0011 min-1). Our meta-analysis revealed significant homogeneity in OXT-OXTR affinity across experiments and species with a Kd = 0.52 - 9.32 nM and mean Kd = 1.48 {+/-} 0.36 nM. Our model achieves several valuable insights into designing dosage strategies. First, we predicted that the OXTR complex reaches maximum occupancy at 10 nM OXT in myometrial cells and at 1 {micro}M in HEK293T cells. This information is pivotal for guiding experimental design and data interpretation when working with these distinct cell types, emphasizing the need to consider effects for specific cell types when choosing OXTR-transfected cell lines. Second, our model recapitulated the significant effects of genetic variants for both experimental and physiologically relevant systems, with V281M and E339K substantially compromising OXT-OXTR binding capacity. These findings suggest the need for personalized oxytocin dosing based on individual genetic profiles to enhance therapeutic efficacy and reduce risks, especially in the context of labor and delivery. Third, we demonstrated the potential for rescuing the attenuated cell response observed in V281M and E339K variants by increasing the OXT dosage at specific, early time points. Cellular responses to OXT, including Ca2+ release, manifest within minutes. Our model indicates that providing V281M- and E339K-expressing cells with doubled OXT dose during the initial minute of binding can elevate OXT-OXTR complex formation to levels comparable to wild-type OXTR. In summary, our study provides a computational framework for precision oxytocin dosing strategies, paving the way for personalized medicine.

systems biology↗