@article {69847, title = {Fast, accurate, and versatile data analysis platform for the quantification of molecular spatiotemporal signals.}, journal = {Cell}, year = {2025}, month = {2025 Apr 04}, abstract = {

Optical recording of intricate molecular dynamics is becoming an indispensable technique for biological studies, accelerated by the development of new or improved biosensors and microscopy technology. This creates major computational challenges to extract and quantify biologically meaningful spatiotemporal patterns embedded within complex and rich data sources, many of which cannot be captured with existing methods. Here, we introduce activity quantification and analysis (AQuA2), a fast, accurate, and versatile data analysis platform built upon advanced machine-learning techniques. It decomposes complex live-imaging-based datasets into elementary signaling events, allowing accurate and unbiased quantification of molecular activities and identification of consensus functional units. We demonstrate applications across a wide range of biosensors, cell types, organs, animal models, microscopy techniques, and imaging approaches. As exemplar findings, we show how AQuA2 identified drug-dependent interactions between neurons and astroglia, as well as distinct sensorimotor signal propagation patterns in the mouse spinal cord.

Preprint:\ https://doi.org/10.1101/2024.05.02.592259

}, issn = {1097-4172}, doi = {10.1016/j.cell.2025.03.012}, url = {https://doi.org/10.1016/j.cell.2025.03.012}, author = {Mi, Xuelong and Chen, Alex Bo-Yuan and Duarte, Daniela and Carey, Erin and Taylor, Charlotte R and Braaker, Philipp N and Bright, Mark and Almeida, Rafael G and Lim, Jing-Xuan and Ruetten, Virginia M S and Wang, Yizhi and Wang, Mengfan and Zhang, Weizhan and Zheng, Wei and Reitman, Michael E and Huang, Yongkang and Wang, Xiaoyu and Li, Lei and Deng, Hanfei and Shi, Song-Hai and Poskanzer, Kira E and Lyons, David A and Nimmerjahn, Axel and Ahrens, Misha B and Yu, Guoqiang} } @article {69471, title = {Norepinephrine changes behavioral state via astroglial purinergic signaling}, journal = {bioRxiv}, year = {2024}, month = {2024 May 23}, abstract = {

Both neurons and glia communicate via diffusible neuromodulatory substances, but the substrates of computation in such neuromodulatory networks are unclear. During behavioral transitions in the larval zebrafish, the neuromodulator norepinephrine drives fast excitation and delayed inhibition of behavior and circuit activity. We find that the inhibitory arm of this feedforward motif is implemented by astroglial purinergic signaling. Neuromodulator imaging, behavioral pharmacology, and perturbations of neurons and astroglia reveal that norepinephrine triggers astroglial release of adenosine triphosphate, extracellular conversion into adenosine, and behavioral suppression through activation of hindbrain neuronal adenosine receptors. This work, along with a companion piece by Lefton and colleagues demonstrating an analogous pathway mediating the effect of norepinephrine on synaptic connectivity in mice, identifies a computational and behavioral role for an evolutionarily conserved astroglial purinergic signaling axis in norepinephrine-mediated behavioral and brain state transitions.

}, doi = {10.1101/2024.05.23.595576}, url = {https://www.biorxiv.org/content/early/2024/05/23/2024.05.23.595576}, author = {Chen, Alex B. and Duque, Marc and Wang, Vickie M. and Dhanasekar, Mahalakshmi and Mi, Xuelong and Rymbek, Altyn and Tocquer, Loeva and Narayan, Sujatha and Prober, David and Yu, Guoqiang and Wyart, Claire and Engert, Florian and Ahrens, Misha B.} }