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Expansion microscopy (ExM) is a technique in which swellable hydrogel-embedded biological samples are physically expanded to effectively increase imaging resolution. Here, we develop thermoresponsive reversible ExM (T-RevExM), in which the expansion factor can be thermally adjusted in a reversible manner. In this method, samples are embedded in thermoresponsive hydrogels and partially digested to allow for reversible swelling of the sample–gel hybrid in a temperature-dependent manner. We first synthesized hydrogels exhibiting lower critical solution temperature (LCST)- and upper critical solution temperature (UCST)-phase transition properties with N-alkyl acrylamide or sulfobetaine monomers, respectively. We then formed covalent hybrids between the LCST or UCST hydrogel and biomolecules across the cultured cells and tissues. The resulting hybrid could be reversibly swelled or deswelled in a temperature-dependent manner, with LCST- and UCST-based hybrids negatively and positively responding to the increase in temperature (termed thermonegative RevExM and thermopositive RevExM, respectively). We further showed reliable imaging of both unexpanded and expanded cells and tissues and demonstrated minimal distortions from the original sample using conventional confocal microscopy. Thus, T-RevExM enables easy adjustment of the size of biological samples and therefore the effective magnification and resolution of the sample, simply by changing the sample temperature.

As the principal means of acquiring nutrients, feeding behavior is indispensable to the survival and well-being of animals. In response to energy or nutrient deficits, animals seek and consume food to maintain energy homeostasis. On the other hand, even when animals are calorically replete, non-homeostatic factors, such as the sight, smell, and taste of palatable food, or environmental cues that predict food, can stimulate feeding behavior. These homeostatic and non-homeostatic factors have traditionally been investigated separately, but a growing body of literature highlights that these factors work synergistically to promote feeding behavior. Furthermore, recent breakthroughs in cell type-specific and circuit-specific labeling, recording, and manipulation techniques have markedly accelerated the discovery of well-defined neural populations underlying homeostatic and non-homeostatic appetite control, as well as overlapping circuits that contribute to both types of appetite. This review aims to provide an update on our understanding of the neural circuit mechanisms for promoting homeostatic and non-homeostatic appetites, focusing on the function of recently identified, genetically defined cell types.

Nanoparticles (NPs) are a promising carrier for cancer therapeutics. Systemically administered NPs are transported to tumor tissues via the bloodstream, extravasated from microvessels, and delivered to cancer cells. The distribution of NPs in the tumor vascular microenvironment critically determines the therapeutic efficacy of NP-delivered drugs, but its precise assessment in 3D across a large volume remains challenging.Here, an analytical platformtermed OMNIA (for Optical Mapping of Nanoparticles and Image Analysis)integrating tissue clearing, high-resolution optical imaging, and semiautomated image analysis is presented, which enables accurate, unbiased, and quantitative analysis of the distribution of NPs in relation to the vasculature across a large 3D volume. Application of OMNIA to tumor tissues revealed higher accumulation and more efficient extravasation of NPs in the tumor periphery than the core. Time-course analysis demonstrated that the accumulation of NPs in tumor peaked at 24 h after injection, but the relative distribution of NPs from the vasculature remained remarkably stable over time. Comparisons between 45-and 200-nm-sized NPs showed a lower accumulation of smaller NPs in tumors relative to the liver, yet better vessel permeation. Together, our results demonstrate that OMNIA facilitates precise and reliable evaluation of NP biodistribution, and mechanistic investigations on NP delivery to tumor tissues.