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ABSTRACT Single-cell transcriptomics has uncovered the enormous heterogeneity of cell types that compose each region of the mammalian brain, but describing how such diverse types connect to form functional circuits has remained challenging. Current methods for measuring the probability and strength of cell-type specific connectivity motifs principally rely on low-throughput whole-cell recording approaches. The recent development of optical tools for perturbing and observing neural circuit activity, now notably including genetically encoded voltage indicators, presents an exciting opportunity to employ optical methods to greatly increase the throughput with which circuit connectivity can be mapped physiologically. At the same time, advances in spatial transcriptomics now enable the identification of cell typesin situbased on their unique gene expression signatures. Here, we demonstrate how long-range synaptic connectivity can be assayed optically with high sensitivity, high throughput, and cell-type specificity. We apply this approach in the motor cortex to examine cell-type-specific synaptic innervation patterns of long-range thalamic and contralateral input onto more than 1000 motor cortical neurons. We find that even cell types occupying the same cortical lamina receive vastly different levels of synaptic input, a finding which was previously not possible to uncover using lower-throughput approaches that can only describe the connectivity of broad cell types. 

Vaccines induce specific immunity through antigen uptake and processing. However, while nanoparticle vaccines have elevated uptake, the impact of intracellular protein release and how this affects processing and downstream responses are not fully understood. Herein, we reveal how tuning unmodified antigen release rate, specifically through modulation of metal–organic framework (MOF) pore size, influences the type and extent of raised adaptive immunity. We use two MOFs in the NU-100x series with 1.4 nm difference in pore diameter, employ facile postsynthesis loading to achieve significant internalization of model protein antigen ovalbumin (ca.1.4 mg/mg), and observe distinct antigen release and intracellular processing profiles influenced by MOF pore size. We investigate how this difference in release biases downstream CD8⁺, T_H1, and T_H2 T cell responses. Ovalbumin-loaded NU-1003 induced 1.8-fold higher CD8⁺:CD4⁺T cell proliferation ratio and displayed 2.2-fold greater ratio of CD4⁺T_H1:T_H2 cytokines compared to ovalbumin-loaded NU-1000. Antigen released from NU-1000 in vivo exhibited stronger antigen-specific IgG responses, which is dependent on CD4⁺T cells (up to ninefold stronger long-term antibody production and 5.9-fold higher IgG1:IgG2a ratio), compared to NU-1003. When translated to wild-type SARS-CoV-2 receptor-binding domain (RBD) protein, RBD-loaded NU-1000 induced 60.5-fold higher IgG1:IgG2a compared to NU-1003. Wild-type RBD-loaded NU-1000 immunization also induced a greater breadth of epitope recognition compared to NU-1003, as evidenced by increased binding antibodies to the Omicron RBD variant. Overall, this work highlights how antigen release significantly influences immunity induced by vaccines and offers a path to employ unmodified antigen release kinetics to drive personalized protective responses.