دورية أكاديمية
A spatially-resolved transcriptional atlas of the murine dorsal pons at single-cell resolution
| العنوان: | A spatially-resolved transcriptional atlas of the murine dorsal pons at single-cell resolution |
|---|---|
| المؤلفون: | Nardone, Stefano, De Luca, Roberto, Zito, Antonino, Klymko, Nataliya, Nicoloutsopoulos, Dimitris, Amsalem, Oren, Brannigan, Cory, Resch, Jon M, Jacobs, Christopher L, Pant, Deepti, Veregge, Molly, Srinivasan, Harini, Grippo, Ryan M, Yang, Zongfang, Zeidel, Mark L, Andermann, Mark L, Harris, Kenneth D, Tsai, Linus T, Arrigoni, Elda, Verstegen, Anne MJ, Saper, Clifford B, Lowell, Bradford B |
| المصدر: | Nature Communications , 15 , Article 1966. (2024) |
| سنة النشر: | 2024 |
| المجموعة: | University College London: UCL Discovery |
| مصطلحات موضوعية: | Cellular neuroscience, Molecular neuroscience |
| الوصف: | The “dorsal pons”, or “dorsal pontine tegmentum” (dPnTg), is part of the brainstem. It is a complex, densely packed region whose nuclei are involved in regulating many vital functions. Notable among them are the parabrachial nucleus, the Kölliker Fuse, the Barrington nucleus, the locus coeruleus, and the dorsal, laterodorsal, and ventral tegmental nuclei. In this study, we applied single-nucleus RNA-seq (snRNA-seq) to resolve neuronal subtypes based on their unique transcriptional profiles and then used multiplexed error robust fluorescence in situ hybridization (MERFISH) to map them spatially. We sampled ~1 million cells across the dPnTg and defined the spatial distribution of over 120 neuronal subtypes. Our analysis identified an unpredicted high transcriptional diversity in this region and pinpointed the unique marker genes of many neuronal subtypes. We also demonstrated that many neuronal subtypes are transcriptionally similar between humans and mice, enhancing this study’s translational value. Finally, we developed a freely accessible, GPU and CPU-powered dashboard (http://harvard.heavy.ai:6273Test/) that combines interactive visual analytics and hardware-accelerated SQL into a data science framework to allow the scientific community to query and gain insights into the data. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | https://discovery.ucl.ac.uk/id/eprint/10189317/1/s41467-024-45907-7.pdfTest; https://discovery.ucl.ac.uk/id/eprint/10189317Test/ |
| الإتاحة: | https://discovery.ucl.ac.uk/id/eprint/10189317/1/s41467-024-45907-7.pdfTest https://discovery.ucl.ac.uk/id/eprint/10189317Test/ |
| حقوق: | open |
| رقم الانضمام: | edsbas.5DC07AFE |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |