Asymmetric cortical projections to striatal direct and indirect pathways distinctly control actions.

The striatal direct and indirect pathways constitute the core for basal ganglia function in action control. Although both striatal D1- and D2-spiny projection neurons (SPNs) receive excitatory inputs from the cerebral cortex, whether or not they share inputs from the same cortical neurons, and how pathway-specific corticostriatal projections control behavior remain largely unknown. Here using a new G-deleted rabies system in mice, we found that more than two-thirds of excitatory inputs to D2-SPNs also target D1-SPNs, while only one-third do so vice versa. Optogenetic stimulation of striatal D1- vs. D2-SPN-projecting cortical neurons differently regulate locomotion, reinforcement learning and sequence behavior, implying the functional dichotomy of pathway-specific corticostriatal subcircuits. These results reveal the partially segregated yet asymmetrically overlapping cortical projections on striatal D1- vs. D2-SPNs, and that the pathway-specific corticostriatal subcircuits distinctly control behavior. It has important implications in a wide range of neurological and psychiatric diseases affecting cortico-basal ganglia circuitry.

Differential second messenger signaling via dopamine neurons bidirectionally regulates memory retention.

Memory formation and forgetting unnecessary memory must be balanced for adaptive animal behavior. While cyclic AMP (cAMP) signaling via dopamine neurons induces memory formation, here we report that cyclic guanine monophosphate (cGMP) signaling via dopamine neurons launches forgetting of unconsolidated memory in Drosophila. Genetic screening and proteomic analyses showed that neural activation induces the complex formation of a histone H3K9 demethylase, Kdm4B, and a GMP synthetase, Bur, which is necessary and sufficient for forgetting unconsolidated memory. Kdm4B/Bur is activated by phosphorylation through NO-dependent cGMP signaling via dopamine neurons, inducing gene expression, including kek2 encoding a presynaptic protein. Accordingly, Kdm4B/Bur activation induced presynaptic changes. Our data demonstrate a link between cGMP signaling and synapses via gene expression in forgetting, suggesting that the opposing functions of memory are orchestrated by distinct signaling via dopamine neurons, which affects synaptic integrity and thus balances animal behavior.

Modeling the marmoset brain using embryonic stem cell-derived cerebral assembloids.

Studying the non-human primate (NHP) brain is required for the translation of rodent research to humans, but remains a challenge for molecular, cellular, and circuit-level analyses in the NHP brain due to the lack of in vitro NHP brain system. Here, we report an in vitro NHP cerebral model using marmoset (Callithrix jacchus) embryonic stem cell-derived cerebral assembloids (CAs) that recapitulate inhibitory neuron migration and cortical network activity. Cortical organoids (COs) and ganglionic eminence organoids (GEOs) were induced from cjESCs and fused to generate CAs. GEO cells expressing the inhibitory neuron marker LHX6 migrated toward the cortical side of CAs. COs developed their spontaneous neural activity from a synchronized pattern to an unsynchronized pattern as COs matured. CAs containing excitatory and inhibitory neurons showed mature neural activity with an unsynchronized pattern. The CAs represent a powerful in vitro model for studying excitatory and inhibitory neuron interactions, cortical dynamics, and their dysfunction. The marmoset assembloid system will provide an in vitro platform for the NHP neurobiology and facilitate translation into humans in neuroscience research, regenerative medicine, and drug discovery.

[Interdisciplinary approaches to brain organoid biology].

Embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs) have been widely used as materials for regenerative medicine and for modeling development and disease because of their pluripotency to differentiate into all cell types of the body. Recently, organoid research has attracted considerable attention as a constructive approach to reconstitute various tissues from ESCs or iPSCs in three-dimensional culture in vitro. Organoids can provide sophisticated in vitro models because of their ability to partially recapitulate different cell types of living tissues and their functions. However, given their complexity, conventional analyses of stem cell biology are insufficient for evaluating organoid performance, limiting basic research and clinical translation. In recent years, elucidating diverse and complex biological phenomena by integrating stem cell biology with other research fields has become feasible. In this review, we focus on brain organoids with some representative examples of interdisciplinary research using machine learning, genetic and viral engineering, and optical imaging, as well as findings obtained from such research. Furthermore, we will discuss the potential applications and future perspectives of interdisciplinary research in organoid biology.

Fast z-focus controlling and multiplexing strategies for multiplane two-photon imaging of neural dynamics.

Monitoring neural activity and associating neural dynamics with the anatomical connectome are required to understand how the brain works. Neural dynamics are measured by electrophysiology and optical imaging. Since the discovery of the two-photon excitation phenomenon, significant progress has been made in deep imaging for capturing neural activity from numerous neurons in vivo. The development of two-photon microscopy is aimed to image neural activity from a large and deep region with high spatial (x, y, and z) and temporal (t) resolutions at a high signal-to-noise ratio. Imaging deep regions along the optical axis (z-axis) is particularly challenging because heterogeneous biological tissues scatter and absorb light. Recent advances in the light focus modulation technology at high speeds in three dimensions (x, y, and z) have allowed multiplane two-photon imaging. z-Focus control by varifocal optical systems, such as ferroelectric liquid lenses, gradient refractive index lenses, and adaptive optical element systems, and multiplexing by time- and wavelength-division strategies have allowed to rapidly observe specimens at different focal depths. Herein, we overview the recent advances in multiplane functional imaging systems that enable four-dimensional (x, y, z, and t) analysis of neural dynamics, with a special emphasis on z-scanning mechanisms and multiplexing strategies.

Monosynaptic rabies virus tracing from projection-targeted single neurons.

A single neuron integrates inputs from thousands of presynaptic neurons to generate outputs. Circuit tracing using G-deleted rabies virus (RVΔG) vectors permits the brain-wide labeling of presynaptic inputs to targeted single neurons. However, the experimental procedures are complex, and the success rate of circuit labeling is low because of the lack of validation to increase the accuracy and efficiency of monosynaptic RVΔG tracing from targeted single neurons. We established an efficient RVΔG tracing method from projection target-defined single neurons using TVA950, a transmembrane isoform of TVA receptors, for initial viral infection. Presynaptic neurons were transsynaptically labeled from 80 % of the TVA950-expressing single starter neurons that survived after infection with EnvA-pseudotyped RVΔG in the adult mouse brain. We labeled single neuronal networks in the primary visual cortex (V1) and higher visual areas, namely the posteromedial area (PM) and anteromedial area (AM), as well as the single neuronal networks of PM-projecting V1 single neurons. Monosynaptic RVΔG tracing from projection-targeted single neurons revealed the input-output organization of single neuronal networks. Single-neuron network analysis based on RVΔG tracing will help dissect the heterogeneity of neural circuits and link circuit motifs and large-scale networks across scales, thereby clarifying information processing and circuit computation in the brain.

Efficient and robust induction of retinal pigment epithelium cells by tankyrase inhibition regardless of the differentiation propensity of human induced pluripotent stem cells.

Transplantation of retinal pigment epithelium (RPE) cells derived from human embryonic stem cells (hESCs) or induced pluripotent stem cells (hiPSCs) hold great promise as a new therapeutic modality for age-related macular degeneration and Stargardt disease. The development of hESC/hiPSC-derived RPE cells as cell-based therapeutic products requires a robust, scalable production for every hiPSC line congruent for patients. However, individual hESC/hiPSC lines show bias in differentiation. Here we report an efficient, robust method that induces RPE cells regardless of the differentiation propensity of the hiPSC lines. Application of the tankyrase inhibitor IWR-1-endo, which potentially inhibits Wnt signaling, promoted retinal differentiation in dissociated hiPSCs under feeder-free, two-dimensional culture conditions. The other tankyrase inhibitor, XAV939, also promoted retinal differentiation. However, Wnt signaling inhibitors, IWP-2 and iCRT3, that target porcupine and ß-catenin/TCF, respectively, did not. Further treatment with the GSK3ß inhibitor CHIR99021 and FGF receptor inhibitor SU5402 induced hexagonal pigmented cells with phagocytotic ability. Notably, the IWR-1-endo-based differentiation method induced RPE cells even in an hiPSC line that expresses a lower level of the differentiation propensity marker SALL3, which is indicative of resistance to ectoderm differentiation. The present study demonstrated that tankyrase inhibitors cause efficient and robust RPE differentiation, irrespective of the SALL3 expression levels in hiPSC lines. This differentiation method will resolve line-to-line variations of hiPSCs in RPE production and facilitate clinical application and industrialization of RPE cell products for regenerative medicine.

Temporally multiplexed dual-plane imaging of neural activity with four-dimensional precision.

Spatiotemporal patterns of neural activity generate brain functions, such as perception, memory, and behavior. Four-dimensional (4-D: x, y, z, t) analyses of such neural activity will facilitate understanding of brain functions. However, conventional two-photon microscope systems observe single-plane brain tissue alone at a time with cellular resolution. It faces a trade-off between the spatial resolution in the x-, y-, and z-axes and the temporal resolution by a limited point-by-point scan speed. To overcome this trade-off in 4-D imaging, we developed a holographic two-photon microscope for dual-plane imaging. A spatial light modulator (SLM) provided an additional focal plane at a different depth. Temporal multiplexing of split lasers with an optical chopper allowed fast imaging of two different focal planes. We simultaneously recorded the activities of neurons on layers 2/3 and 5 of the cerebral cortex in awake mice in vivo. The present study demonstrated the proof-of-concept of dual-plane two-photon imaging of neural circuits by using the temporally multiplexed SLM-based microscope. The temporally multiplexed holographic microscope, combined with in vivo labeling with genetically encoded probes, enabled 4-D imaging and analysis of neural activities at cellular resolution and physiological timescales. Large-scale 4-D imaging and analysis will facilitate studies of not only the nervous system but also of various biological systems.

Cell type- and layer-specific convergence in core and shell neurons of the dorsal lateral geniculate nucleus.

Over 40 distinct types of retinal ganglion cells (RGCs) generate parallel processing pathways in the visual system. In mice, two subdivisions of the dorsal lateral geniculate nucleus (dLGN), the core and the shell, organize distinct parallel channels to transmit visual information from the retina to the primary visual cortex (V1). To investigate how the dLGN core and shell differentially integrate visual information and other modalities, we mapped synaptic input sources to each dLGN subdivision at the cell-type level with G-deleted rabies viral vectors. The monosynaptic circuit tracing revealed that dLGN core neurons received inputs from alpha-RGCs, Layer 6 neurons of the V1, the superficial and intermediate layers of the superior colliculus (SC), the internal ventral LGN, the lower layer of the external ventral LGN (vLGNe), the intergeniculate leaf, the thalamic reticular nucleus (TRN), and the pretectal nucleus (PT). Conversely, shell neurons received inputs from alpha-RGCs and direction-selective ganglion cells of the retina, Layer 6 neurons of the V1, the superficial layer of the SC, the superficial and lower layers of the vLGNe, the TRN, the PT, and the parabigeminal nucleus. The present study provides anatomical evidence of the cell type- and layer-specific convergence in dLGN core and shell neurons. These findings suggest that dLGN core neurons integrate and process more multimodal information along with visual information than shell neurons and that LGN core and shell neurons integrate different types of information, send their own convergent information to discrete populations of the V1, and differentially contribute to visual perception and behavior.

Reproducible production and image-based quality evaluation of retinal pigment epithelium sheets from human induced pluripotent stem cells.

Transplantation of retinal pigment epithelial (RPE) sheets derived from human induced pluripotent cells (hiPSC) is a promising cell therapy for RPE degeneration, such as in age-related macular degeneration. Current RPE replacement therapies, however, face major challenges. They require a tedious manual process of selecting differentiated RPE from hiPSC-derived cells, and despite wide variation in quality of RPE sheets, there exists no efficient process for distinguishing functional RPE sheets from those unsuitable for transplantation. To overcome these issues, we developed methods for the generation of RPE sheets from hiPSC, and image-based evaluation. We found that stepwise treatment with six signaling pathway inhibitors along with nicotinamide increased RPE differentiation efficiency (RPE6iN), enabling the RPE sheet generation at high purity without manual selection. Machine learning models were developed based on cellular morphological features of F-actin-labeled RPE images for predicting transepithelial electrical resistance values, an indicator of RPE sheet function. Our model was effective at identifying low-quality RPE sheets for elimination, even when using label-free images. The RPE6iN-based RPE sheet generation combined with the non-destructive image-based prediction offers a comprehensive new solution for the large-scale production of pure RPE sheets with lot-to-lot variations and should facilitate the further development of RPE replacement therapies.

[Circuit mechanisms of spatial perception and visuomotor integration].

Animals can make appropriate decisions based on sensory information about the environment. Vision is one of the most critical ability for survival in dynamic situations in nature, particularly for mammalian species, such as primates, carnivores, and rodents. Although there is a huge computational cost involved in processing visual information, the brain can perform this task very rapidly using well-organized parallel and hierarchical neural circuits, enabling animals to rapidly sense the environment and, in turn, perform adaptive actions. Physiological, psychophysical, and clinical studies over hundreds of years have delineated the neural circuit mechanisms of the visual system. Artificial intelligence and robotics have also started making progress in this area. However, due to technical limitations, there are still many open questions that elude explanation in understanding the neural mechanism of visuomotor integration. Herein, we initially describe the anatomical structures of occipital cortices related to vision and then provide an overview of the physiological and clinical studies of the dorsal visual pathway related to spatial perception and prediction in non-human primate species. Finally, we introduce recent approaches in which rodents have been used as model species to elucidate the neural circuit mechanism of visually-guided behavior. Uncovering neural implementation of the association between visual-spatial perception and visuomotor function could provide key insights into the engineering of highly active robots and could also contribute to the development of novel therapeutic strategies addressing visual impairment and psychiatric/neurological disorders.

Role of dynamic nuclear deformation on genomic architecture reorganization.

Higher-order genomic architecture varies according to cell type and changes dramatically during differentiation. One of the remarkable examples of spatial genomic reorganization is the rod photoreceptor cell differentiation in nocturnal mammals. The inverted nuclear architecture found in adult mouse rod cells is formed through the reorganization of the conventional architecture during terminal differentiation. However, the mechanisms underlying these changes remain largely unknown. Here, we found that the dynamic deformation of nuclei via actomyosin-mediated contractility contributes to chromocenter clustering and promotes genomic architecture reorganization during differentiation by conducting an in cellulo experiment coupled with phase-field modeling. Similar patterns of dynamic deformation of the nucleus and a concomitant migration of the nuclear content were also observed in rod cells derived from the developing mouse retina. These results indicate that the common phenomenon of dynamic nuclear deformation, which accompanies dynamic cell behavior, can be a universal mechanism for spatiotemporal genomic reorganization.

Tracing of Afferent Connections in the Zebrafish Cerebellum Using Recombinant Rabies Virus.

The cerebellum is involved in some forms of motor coordination and learning, and in cognitive and emotional functions. To elucidate the functions of the cerebellum, it is important to unravel the detailed connections of the cerebellar neurons. Although the cerebellar neural circuit structure is generally conserved among vertebrates, it is not clear whether the cerebellum receives and processes the same or similar information in different vertebrate species. Here, we performed monosynaptic retrograde tracing with recombinant rabies viruses (RV) to identify the afferent connections of the zebrafish cerebellar neurons. We used a G-deleted RV that expressed GFP. The virus was also pseudotyped with EnvA, an envelope protein of avian sarcoma and leucosis virus (ALSV-A). For the specific infection of cerebellar neurons, we expressed the RV glycoprotein (G) gene and the envelope protein TVA, which is the receptor for EnvA, in Purkinje cells (PCs) or granule cells (GCs), using the promoter for aldolase Ca (aldoca) or cerebellin 12 (cbln12), respectively. When the virus infected PCs in the aldoca line, GFP was detected in the PCs' presynaptic neurons, including GCs and neurons in the inferior olivary nuclei (IOs), which send climbing fibers (CFs). These observations validated the RV tracing method in zebrafish. When the virus infected GCs in the cbln12 line, GFP was again detected in their presynaptic neurons, including neurons in the pretectal nuclei, the nucleus lateralis valvulae (NLV), the central gray (CG), the medial octavolateralis nucleus (MON), and the descending octaval nucleus (DON). GFP was not observed in these neurons when the virus infected PCs in the aldoca line. These precerebellar neurons generally agree with those reported for other teleost species and are at least partly conserved with those in mammals. Our results demonstrate that the RV system can be used for connectome analyses in zebrafish, and provide fundamental information about the cerebellar neural circuits, which will be valuable for elucidating the functions of cerebellar neural circuits in zebrafish.

[Cell-type-specific targeting strategies for elucidating neural circuits and pathophysiological mechanisms in the marmoset brain].

As a primate animal model for neuroscience research, the common marmoset (Callithrix jacchus) provides an unprecedented opportunity to gain a better understanding of the human brain function and pathophysiology of neurological and psychiatric disorders, thereby helping in the diagnosis and treatment of those disorders. The marmoset is particularly useful in studying the neural mechanisms underlying social behavior, as their prosocial behavior and visual and vocal communication systems are well-developed. Despite recent advances in biotechnology such as the creation of genetically engineered marmosets, our understanding of the marmoset brain, including its dysfunction in disease, at the circuit level remains limited due to the lack of comprehensive knowledge of the neuronal connections in the marmoset brain. Here we describe the development of genetic and viral engineering techniques for a particular type of neuron in non-transgenic animals. These approaches, combined with rabies viral tracing, imaging, and electrophysiology, will make it possible to map the connectome and relate neuronal connectivity to function in the marmoset brain. Such circuit-level studies will open a new avenue for non-human primate research that can bridge the gap between basic research and human studies.

Intersectional monosynaptic tracing for dissecting subtype-specific organization of GABAergic interneuron inputs.

Functionally and anatomically distinct cortical substructures, such as areas or layers, contain different principal neuron (PN) subtypes that generate output signals representing particular information. Various types of cortical inhibitory interneurons (INs) differentially but coordinately regulate PN activity. Despite a potential determinant for functional specialization of PN subtypes, the spatial organization of IN subtypes that innervate defined PN subtypes remains unknown. Here we develop a genetic strategy combining a recombinase-based intersectional labeling method and rabies viral monosynaptic tracing, which enables subtype-specific visualization of cortical IN ensembles sending inputs to defined PN subtypes. Our approach reveals not only cardinal but also underrepresented connections between broad, non-overlapping IN subtypes and PNs. Furthermore, we demonstrate that distinct PN subtypes defined by areal or laminar positions display different organization of input IN subtypes. Our genetic strategy will facilitate understanding of the wiring and developmental principles of cortical inhibitory circuits at unparalleled levels.

Multiplex Neural Circuit Tracing With G-Deleted Rabies Viral Vectors.

Neural circuits interconnect to organize large-scale networks that generate perception, cognition, memory, and behavior. Information in the nervous system is processed both through parallel, independent circuits and through intermixing circuits. Analyzing the interaction between circuits is particularly indispensable for elucidating how the brain functions. Monosynaptic circuit tracing with glycoprotein (G) gene-deleted rabies viral vectors (RVΔG) comprises a powerful approach for studying the structure and function of neural circuits. Pseudotyping of RVΔG with the foreign envelope EnvA permits expression of transgenes such as fluorescent proteins, genetically-encoded sensors, or optogenetic tools in cells expressing TVA, a cognate receptor for EnvA. Trans-complementation with rabies virus glycoproteins (RV-G) enables trans-synaptic labeling of input neurons directly connected to the starter neurons expressing both TVA and RV-G. However, it remains challenging to simultaneously map neuronal connections from multiple cell populations and their interactions between intermixing circuits solely with the EnvA/TVA-mediated RV tracing system in a single animal. To overcome this limitation, here, we multiplexed RVΔG circuit tracing by optimizing distinct viral envelopes (oEnvX) and their corresponding receptors (oTVX). Based on the EnvB/TVB and EnvE/DR46-TVB systems derived from the avian sarcoma leukosis virus (ASLV), we developed optimized TVB receptors with lower or higher affinity (oTVB-L or oTVB-H) and the chimeric envelope oEnvB, as well as an optimized TVE receptor with higher affinity (oTVE-H) and its chimeric envelope oEnvE. We demonstrated independence of RVΔG infection between the oEnvA/oTVA, oEnvB/oTVB, and oEnvE/oTVE systems and in vivo proof-of-concept for multiplex circuit tracing from two distinct classes of layer 5 neurons targeting either other cortical or subcortical areas. We also successfully labeled common input of the lateral geniculate nucleus to both cortico-cortical layer 5 neurons and inhibitory neurons of the mouse V1 with multiplex RVΔG tracing. These oEnvA/oTVA, oEnvB/oTVB, and oEnvE/oTVE systems allow for differential labeling of distinct circuits to uncover the mechanisms underlying parallel processing through independent circuits and integrated processing through interaction between circuits in the brain.

[Viral and Electrophysiological Approaches for Elucidating the Structure and Function of Retinal Circuits].

　The mammalian retina consists of five classes of neurons: photoreceptor, horizontal, bipolar, amacrine, and ganglion cells. Based on cell morphology, electrophysiological properties, connectivity, and gene expression patterns, each class of retinal neurons is further subdivided into many distinct cell types. Each type of photoreceptor, bipolar, and ganglion cell tiles the retina, collectively providing a complete representation across the visual scene. Visual signals are processed by at least 80 distinct cell types and at least 20 separate circuits in the retina. These circuits comprise parallel pathways from the photoreceptor cells to ganglion cells, each forming a channel of visual information. Feed-forward and feedback inhibition of horizontal and amacrine cells shape these parallel pathways. However, the cell-type-specific roles of inhibitory circuits in retinal information processing remain unknown. Here we summarize parallel processing strategies in the retina, and then introduce our viral and electrophysiological approaches that reveal the roles of genetically defined subtypes of amacrine cells in retinal circuits.