The collective dynamics of frustrated biological neuron networks

To maintain normal functionality, it is necessary for a multicellular organism to generate robust responses to external temporal signals. However, the underlying mechanisms to coordinate the collective dynamics of cells remain poorly understood. Here we study the calcium activity of micropatterned biological neuron networks excited by periodic ATP stimuli. Combining quantitative experiments, physical and biological manipulation of cells, as well as mathematical modeling, we show that isolated cells in a network become more synchronized at longer period of stimuli through noise cancellation. However, slowly varying external signal also increases gap junction coupling between connected nodes in the network; and gap junction mediated communication may destroy network synchronization due to special nonlinear bifurcations exhibited by the excitable dynamics of neuronal cells. Based on our results, we propose that a biological neuron network supported by gap junctional communication encodes external temporal signals in its network dynamics. A sparely connected network approaches synchronization as input signal slows down, whereas a highly connected network enters dynamic frustration in the same situation.

PMON54 Exosomes Isolated from Conditioned Media of Immortalized Kisspeptin Neurons Exert Diverse Effects on Central and Peripheral in Vitro Cell Models

Previous work in our laboratory explored the proteomic contents of exosome-like extracellular vesicles (EVs) released into the media in vitro from immortalized Kisspeptin (KP) neuronal cell lines KTaV-3 (derived from female mouse AVPV) and KTaR-1 (derived from KNDy neurons in the ARC). EVs were isolated from conditioned media via ultracentrifugation or filtration kit and validated using a NanoCyte, and LCMS-MS analysis revealed that relative abundance of exosomal cargo varied dependent upon estrogen (E2) exposure in vitro, with ∼150-170 proteins up-regulated and ∼200-220 proteins downregulated by E2 in EVs of KTaR-1 and KTaV-3 KP neurons.

Since E2-regulated KP exosomal proteins included candidates implicated in the regulation of synaptic plasticity and signaling (i.e. annexins, semaphorins, connexins), we investigated the effects of exposure to purified EVs on gene expression in immortalized GnRH neurons (GT1-7 cells). Notably, EVs from 24h E2-treated KTaV-3 neurons induced increased expression of kiss1r in GT1-7 cells, in contrast to KTaV-3 neurons not exposed to E2, suggesting that AVPV KP neurons may signal an increase in KP receptivity in GnRH neurons in vivo via non-neuronal communication. Additionally, increases in expression of the synaptic scaffolding protein PSD-95 (dlg4) were seen in GT1-7 cells treated with E2-treated KTaV-3 EVs, suggesting AVPV KP neurons may use extracellular vesicles to modulate GnRH neuronal synaptic plasticity over the estrous cycle. While EVs isolated from KTaR-1 conditioned media did not alter GT1-7 kiss1r or dlg4 levels, treatment (24h) resulted in induction of selective gap junction hemichannel expression in GT1-7 cells. KTaR-1 (but not KTaV-3) EVs increased expression of Cx26 (gjb2) irrespective of E2 exposure, while induction of Cx43 (gja1) expression in GT1-7 cells was only observed following treatment with E2-deprived KTaR-1 EVs.

Further, we found that KTaR-1 media and EVs can affect osteoblast function in vitro, including increases in sp7 and runx2 expression, E2-dependent modulation of wnt10b, and formation of bone matrix (evaluated by Alizarin Red assay) in cultured osteoblast lines, supporting recent studies implicating ARC KP neurons in bone remodeling. Lastly, we found significant levels of immunomodulatory pentraxins (PTX3) in KP EVs, with abundance dependent upon prior E2 exposure in KTaR-1 KP neurons, as revealed by ELISA. Together, results from these studies suggest that EVs may represent additional intercellular communication pathways utilized by Kiss-1 neurons to elicit changes in nearby neuronal populations and potentially even in the periphery, affecting inflammation and bone remodeling. Future studies will address mechanisms involved in the E2 regulation of exosomal cargo in these critical neuronal populations.

Presentation: Monday, June 13, 2022 12:30 p.m. - 2:30 p.m.

Temporal signals drive the emergence of multicellular information networks

Coordinated responses to environmental stimuli are critical for multicellular organisms. To overcome the obstacles of cell-to-cell heterogeneity and noisy signaling dynamics within individual cells, cells must effectively exchange information with peers. However, the dynamics and mechanisms of collective information transfer driven by external signals are poorly understood. Here we investigate the calcium dynamics of neuronal cells that form confluent monolayers and respond to cyclic ATP stimuli in microfluidic devices. Using Granger inference to reconstruct the underlying causal relations between the cells, we find that the cells self-organize into spatially decentralized and temporally stationary networks to support information transfer via gap junction channels. The connectivity of the causal networks depends on the temporal profile of the external stimuli, where short periods, or long periods with small duty fractions, lead to reduced connectivity and fractured network topology. We build a theoretical model based on communicating excitable units that reproduces our observations. The model further predicts that connectivity of the causal network is maximal at an optimal communication strength, which is confirmed by the experiments. Together, our results show that information transfer between neuronal cells is externally regulated by the temporal profile of the stimuli and internally regulated by cell-cell communication.