@article {70084, title = {Imaging cellular activity simultaneously across all organs of a vertebrate reveals body-wide circuits}, journal = {bioRxiv}, year = {2025}, month = {2025 August 22}, abstract = {

All cells in an animal collectively ensure, moment-to-moment, the survival of the whole organism in the face of environmental stressors1,2. Physiology seeks to elucidate the intricate network of interactions that sustain life, which often span multiple organs, cell types, and timescales, but a major challenge lies in the inability to simultaneously record time-varying cellular activity throughout the entire body.We developed WHOLISTIC, a method to image second-timescale, time-varying intracellular dynamics across cell-types of the vertebrate body. By advancing and integrating volumetric fluorescence microscopy, machine learning, and pancellular transgenic expression of calcium sensors in transparent young Danio rerio (zebrafish) and adult Danionella, the method enables real-time recording of cellular dynamics across the organism. Calcium is a universal intracellular messenger, with a large array of cellular processes depending on changes in calcium concentration across varying time-scales, making it an ideal proxy of cellular activity3.Using this platform to screen the dynamics of all cells in the body, we discovered unexpected responses of specific cell types to stimuli, such as chondrocyte reactions to cold, meningeal responses to ketamine, and state-dependent activity, such as oscillatory ependymal-cell activity during periods of extended motor quiescence. At the organ scale, the method uncovered pulsating traveling waves along the kidney nephron. At the multi-organ scale, we uncovered muscle synergies and independencies, as well as muscle-organ interactions. Integration with optogenetics allowed us to all-optically determine the causal direction of brain-body interactions. At the whole-organism scale, the method captured the rapid brainstem-controlled redistribution of blood flow across the body.Finally, we advanced Whole-Body Expansion Microscopy4 to provide ground-truth molecular and ultrastructural anatomical context, explaining the spatiotemporal structure of activity captured by WHOLISTIC. Together, these innovations establish a new paradigm for systems biology, bridging cellular and organismal physiology, with broad implications for both fundamental research and drug discovery.

}, doi = {10.1101/2025.08.20.670374}, url = {https://www.biorxiv.org/content/early/2025/08/22/2025.08.20.670374.1}, author = {Ruetten, Virginia M. S. and Zheng, Wei and Siwanowicz, Igor and Mensh, Brett D. and Eddison, Mark and Hu, Amy and Chi, Yunfeng and Lemire, Andrew L. and Guo, Caiying and Kadobianskyi, Mykola and Renz, Marc and Lelek-Greskovic, Sara and He, Yisheng and Close, Kari and Ihrke, Gudrun and Dev, Aparna and Petruncio, Alyson and Wan, Yinan and Engert, Florian and Fishman, Mark C. and Judkewitz, Benjamin and Rubinov, Mikail and Keller, Philipp J. and Satou, Chie and Yu, Guoqiang and Tillberg, Paul W. and Sahani, Maneesh and Ahrens, Misha B.} } @article {70191, title = {Multimodal cell lineage reconstruction in the hindbrain reveals a link between progenitor origin and activity patterning}, journal = {bioRxiv}, year = {2025}, month = {2025 Nov 14}, abstract = {

The vertebrate brain develops through a precisely orchestrated sequence of events, where neural progenitors generate neuronal diversity. However, the importance of stem cell origin in the acquisition of functional characteristics and the assembly into circuits are largely unknown. Here, by multimodal cell lineage reconstruction we reveal a link between progenitor origin and excitatory and inhibitory activity in the hindbrain. By combining progenitor intersectional fate mapping with newly developed computational tools and CRISPR/Cas9-based loss-of-function experiments, we discovered the differential temporal contribution of distinct progenitor pools {\textendash}defined by proneural gene expression{\textendash} to both glutamatergic and GABAergic neurons. Whereas neurog1-progenitors contribute to both lineages in early embryonic stages, later, other progenitor pools either also assume this role or take over. Using calcium imaging in combination with genetic perturbations, we unveiled that spatiotemporally defined stem cell origin determines specific neuronal activity features. Overall, we provide in vivo evidence for a link between cell ontogeny and functionality in the vertebrate hindbrain.For more information or any specific tool, you can contact us.

}, doi = {10.1101/2025.11.14.688499}, url = {https://www.biorxiv.org/content/early/2025/11/14/2025.11.14.688499}, author = {Blanc, Matthias and Meister, Lydvina and Lemon, William C. and Fiuza, Ulla-Maj and Keller, Philipp J. and Espinosa-Medina, Isabel and Pujades, Cristina} } @article {65253, title = {Tissue clearing and its applications in neuroscience}, journal = {Nature Reviews Neuroscience}, year = {2020}, month = {2020 Feb 1}, abstract = {

State-of-the-art tissue-clearing methods provide subcellular-level optical access to intact tissues from individual organs and even to some entire mammals. When combined with light-sheet microscopy and automated approaches to image analysis, existing tissue-clearing methods can speed up and may reduce the cost of conventional histology by several orders of magnitude. In addition, tissue-clearing chemistry allows whole-organ antibody labelling, which can be applied even to thick human tissues. By combining the most powerful labelling, clearing, imaging and data-analysis tools, scientists are extracting structural and functional cellular and subcellular information on complex mammalian bodies and large human specimens at an accelerated pace. The rapid generation of terabyte-scale imaging data furthermore creates a high demand for efficient computational approaches that tackle challenges in large-scale data analysis and management. In this Review, we discuss how tissue-clearing methods could provide an unbiased, system-level view of mammalian bodies and human specimens and discuss future opportunities for the use of these methods in human neuroscience.

}, issn = {1471-003X}, doi = {10.1038/s41583-019-0250-1}, url = {http://www.nature.com/articles/s41583-019-0250-1}, author = {Ueda, Hiroki R. and Ert{\"u}rk, Ali and Chung, Kwanghun and Gradinaru, Viviana and Ch{\'e}dotal, Alain and Tomancak, Pavel and Keller, Philipp J.} } @article {65079, title = {BigStitcher: reconstructing high-resolution image datasets of cleared and expanded samples.}, journal = {Nature Methods}, volume = {16}, year = {2019}, month = {2019 Sep}, pages = {870-74}, abstract = {

Light-sheet imaging of cleared and expanded samples creates terabyte-sized datasets that consist of many unaligned three-dimensional image tiles, which must be reconstructed before analysis. We developed the BigStitcher software to address this challenge. BigStitcher enables interactive visualization, fast and precise alignment, spatially resolved quality estimation, real-time fusion and deconvolution of dual-illumination, multitile, multiview datasets. The software also compensates for optical effects, thereby improving accuracy and enabling subsequent biological analysis.

}, issn = {1548-7091}, doi = {10.1038/s41592-019-0501-0}, url = {http://www.nature.com/articles/s41592-019-0501-0http://www.nature.com/articles/s41592-019-0501-0.pdfhttp://www.nature.com/articles/s41592-019-0501-0.pdfhttp://www.nature.com/articles/s41592-019-0501-0}, author = {H{\"o}rl, David and Rojas Rusak, Fabio and Preusser, Friedrich and Tillberg, Paul and Randel, Nadine and Chhetri, Raghav K. and Cardona, Albert and Keller, Philipp J. and Harz, Hartmann and Leonhardt, Heinrich and Treier, Mathias and Preibisch, Stephan} }