The generation of post-gastrulation stem cell-derived mouse embryo models (SEMs) exclusively from naive embryonic stem cells (nESCs) has underscored their ability to give rise to embryonic and extra-embryonic lineages. However, existing protocols for mouse SEMs rely on the separate induction of extra-embryonic lineages and on ectopic expression of transcription factors to induce nESC differentiation into trophectoderm (TE) or primitive endoderm (PrE). Here, we demonstrate that mouse nESCs and naive induced pluripotent stem cells (niPSCs) can be simultaneously co-induced, via signaling pathway modulation, to generate PrE and TE extra-embryonic cells that self-organize into embryonic day (E) 8.5-E8.75 transgene-free (TF) SEMs. We also devised an alternative condition (AC) naive media that in vitro stabilizes TF-SEM-competent OCT4+/NANOG+ nESC colonies that co-express antagonistic CDX2 and/or GATA6 extra-embryonic fate master regulators and self-renew while remaining poised for TE and PrE differentiation, respectively. These findings improve mouse SEM strategies and shed light on amplifying an inherent and dormant extra-embryonic plasticity of mouse naive pluripotent cells in vitro.

Genetically encoded calcium indicators (GECIs) are vital tools for fluorescence-based visualization of neuronal activity with high spatial and temporal resolution. However, current highest-performance GECIs are predominantly green or red fluorescent, limiting multiplexing options and efficient excitation with fixed-wavelength femtosecond lasers operating at 1030 nm. Here, we introduce OCaMP (also known as O-GECO2), an orange fluorescent GECI engineered from O-GECO1 through targeted substitutions to improve calcium affinity while retaining the favorable photophysical properties of mOrange2. OCaMP exhibits improved two-photon cross-section, responsiveness, photostability, and calcium affinity relative to O-GECO1. In cultured neurons, zebrafish, and mouse cortex, OCaMP outperforms the red GECIs jRCaMP1a and jRGECO1a in sensitivity, kinetics, and signal-to-noise ratio. These properties establish OCaMP as a robust tool for high-fidelity neural imaging optimized for 1030 nm excitation and a compromise-free option within the spectral gap between existing green and red GECIs.

Epithelial polarity is essential for proper tissue organization and function, yet the molecular mechanisms governing apical membrane formation during secretory epithelial development remain incompletely understood. Here, we investigate the role of the small GTPase Cdc42 in salivary gland acinar cell development using a mouse model designed to knock out Cdc42 specifically at the onset of acinar cell formation. Loss of Cdc42 resulted in defective apical membrane formation accompanied by accumulation of vesicles around the apical lumen. These vesicles contained the apical water channel AQP5 and the apical recycling endosome (ARE) marker Rab11a, while the basolateral transporter NKCC1 retained normal localization, indicating an apical-selective trafficking defect. Importantly, Cdc42 deficiency caused a selective 40% reduction in the expression of the SNARE protein VAMP2, while other vesicle trafficking proteins including VAMP8, SNAP23, and EEA1 remained unchanged. Our findings reveal that Cdc42 controls apical membrane formation by maintaining VAMP2 expression, which is essential for the fusion of Rab11a-positive recycling endosomes. The accumulation of fusion-incompetent AREs near the apical surface demonstrates the critical role of the Cdc42-VAMP2 pathway in epithelial development. These results provide new insights into how polarity regulators integrate vesicle trafficking and fusion machinery, and may have implications for understanding glandular diseases involving epithelial polarity defects.

Cryo-ultramicrotomy, developed by Bernhard in 1965 [1], has long been regarded as the pinnacle of achievement for electron microscopists. This technique allows biological samples to be sliced into ultrathin sections and examined in a cryo-electron microscope, revealing the most intricate subcellular structures without chemical fixation or staining. The advent of vitrification [2,3] and high-pressure freezing (HPF) technology [4,5] provided reliable methods for preserving cellular structures, and the introduction of diamond knife to cryo-ultramicrotomy [6] offering cryo-ultramicrotomists reassurance in consistency of the quality [7].

Just as genomes revolutionized molecular genetics, connectomes (maps of neurons and synapses) are transforming neuroscience. To date, the only species with complete connectomes are worms and sea squirts (103-104 synapses). By contrast, the fruit fly is more complex (108 synaptic connections), with a brain that supports learning and spatial memory and an intricate ventral nerve cord analogous to the vertebrate spinal cord. Here we report the first adult fly connectome that unites the brain and ventral nerve cord, and we leverage this resource to investigate principles of neural control. We show that effector cells (motor neurons, endocrine cells and efferent neurons targeting the viscera) are primarily influenced by local sensory cells in the same body part, forming local feedback loops. These local loops are linked by long-range circuits involving ascending and descending neurons organized into behavior-centric modules. Single ascending and descending neurons are often positioned to influence the voluntary movements of multiple body parts, together with endocrine cells or visceral organs that support those movements. Brain regions involved in learning and navigation supervise these circuits. These results reveal an architecture that is distributed, parallelized and embodied (tightly connected to effectors), reminiscent of distributed control architectures in engineered systems.

Michael P. Sheetz (1946–2025) advanced the field of mechanobiology through his creative experiments, new methodologies, and keen insights. His research touched many fields of cell biology, including membrane biophysics, motor proteins, the cytoskeleton, cell migration, and cellular senescence. In addition to his research, Sheetz was a leader who built vibrant academic departments and institutes and advanced the careers of many trainees.

Vimentin is a cytoskeletal intermediate filament protein that governs the form and function of mesenchymal cells, although the mechanistic details have been poorly understood. Here we highlight recent findings that reveal the diverse role of vimentin in dynamically organizing intracellular architecture and enhancing mechanical resilience. The exceptional deformability of vimentin can now be understood from its high-resolution three-dimensional structure resolved using cryo-electron microscopy. Vimentin also organizes the motion and positioning of numerous organelles, including mitochondria and the nucleus. Furthermore, it synergizes with the actin cytoskeleton to protect cells from extreme mechanical deformations. Finally, vimentin expression in epithelial-mesenchymal transitions has a functional role in tumour invasion analogous to embryonic development and wound healing. These recent developments emphasize the importance of understanding the multifaceted roles of vimentin intermediate filaments in human health and disease.

Persistent internal states are important for maintaining survival-promoting behaviors, such as aggression. In female Drosophila melanogaster, we have previously shown that individually activating either aIPg or pC1d cell types can induce aggression. Here we investigate further the individual roles of these cholinergic, sexually dimorphic cell types, and the reciprocal connections between them, in generating a persistent aggressive internal state. We find that a brief 30-second optogenetic stimulation of aIPg neurons was sufficient to promote an aggressive internal state lasting at least 10 minutes, whereas similar stimulation of pC1d neurons did not. While we previously showed that stimulation of pC1e alone does not evoke aggression, persistent behavior could be promoted through simultaneous stimulation of pC1d and pC1e, suggesting an unexpected synergy of these cell types in establishing a persistent aggressive state. Neither aIPg nor pC1d show persistent neuronal activity themselves, implying that the persistent internal state is maintained by other mechanisms. Moreover, inactivation of pC1d did not significantly reduce aIPg-evoked persistent aggression, arguing that the aggressive state did not depend on pC1d-aIPg recurrent connectivity. Our results suggest the need for alternative models to explain persistent female aggression.

Preprint: https://www.biorxiv.org/content/10.1101/2023.06.07.543722v2

When foraging for resources, animals must often sample many options that yield reward with different probabilities. In such scenarios, many animals have been shown to exhibit “matching”, an empirical behavioral observation in which the fraction of rewarded samples is the same across all options. While previous work has shown that matching can be optimal in environments with diminishing returns, this condition is not sufficient to determine optimality. Furthermore, while diminishing returns naturally arise when resources in the environment deplete and take time to be replenished, the specific form of diminishing returns depends on the temporal structure and statistics of the replenishment process. Here, we explore how these environmental properties affect whether matching is optimal. By considering an agent that samples different options with fixed sampling rates, we derive the probability of collecting a reward as a function of these sampling rates for different types of environments, and we analytically determine the conditions under which the optimal sampling-rate policy exhibits matching. When all options are governed by the same replenishment dynamics, we find that optimality gives rise to matching across a wide range of environments. However, when these dynamics differ across options, the optimal policy can deviate from matching. In such cases, the rank-ordering of observed reward probabilities depends only on the qualitative nature of the replenishment process, but not on the specific replenishment rates. As a result, the optimal policy can exhibit underor over-matching depending on how rewarding the different options are. We use this result to identify environmental settings under which performance differs substantially between matching and optimality. Finally, we show how fluctuations in these replenishment rates—which can represent either environmental stochasticity or the agent’s internal uncertainty about the environment—can accentuate deviations between optimality and matching. Together, these findings deepen our understand of the relationship between environmental variability and behavioral optimality, and they provide testable experimental predictions across a wide range of environmental settings.

Fluorescence microscopy, a key driver for progress in the life sciences, faces limitations due to the microscope’s optics, fluorophore chemistry, and photon exposure limits, necessitating trade-offs in imaging speed, resolution, and depth. Here, we introduce MicroSplit, a computational multiplexing technique based on deep learning that allows multiple cellular structures to be imaged in a single fluorescent channel and then unmixed computationally, allowing faster imaging and reduced photon exposure. We show that MicroSplit efficiently separates up to four superimposed noisy structures into distinct denoised fluorescent image channels. Furthermore, using Variational Splitting Encoder-Decoder (VSE) networks, our approach can sample diverse predictions from a trained posterior of solutions. The diversity of these samples scales with the uncertainty in a given input, allowing us to estimate the true prediction errors by computing the variability between posterior samples. We demonstrate the robustness of MicroSplit across various datasets and noise levels and show its utility to image more, image faster, and improve downstream analysis. We provide MicroSplit along with all associated training and evaluation datasets as open resources, enabling life scientists to benefit from the potential of computational multiplexing and accelerate the pace of scientific discovery.