A spatially-resolved transcriptional atlas of the murine dorsal pons at single-cell resolution

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:6273/) 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

Protocol for flow cytometry-assisted single-nucleus RNA sequencing of human and mouse adipose tissue with sample multiplexing

Summary: Adipocyte size and fragility and commercial kit costs impose significant limitations on single-cell RNA sequencing of adipose tissue. Accordingly, we developed a workflow to isolate and sample-barcode nuclei from individual adipose tissue samples, integrating flow cytometry for quality control, counting, and precise nuclei pooling for direct loading onto the popular 10× Chromium controller. This approach can eliminate batch confounding, and significantly reduces poor-quality nuclei, ambient RNA contamination, and droplet loading-associated reagent waste, resulting in pronounced improvements in information content and cost efficiency. : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics

A spatially-resolved transcriptional atlas of the murine dorsal pons at single-cell resolution

Abstract 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:6273/ ) 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

A single-cell atlas of human and mouse white adipose tissue

none38noneMargo P. Emont, Christopher Jacobs, Adam L. Essene, Deepti Pant, Danielle Tenen, Georgia Colleluori, Angelica Di Vincenzo, Anja M. Jørgensen, Hesam Dashti, Adam Stefek, Elizabeth McGonagle, Sophie Strobel, Samantha Laber, Saaket Agrawal,Gregory P. Westcott, Amrita Kar, Molly L. Veregge, Anton Gulko, Harini Srinivasan, Zachary Kramer, Eleanna De Filippis, Erin Merkel, Jennifer Ducie, Christopher G. Boyd, William Gourash, Anita Courcoulas, Samuel J. Lin, Bernard T. Lee, Donald Morris, Adam Tobias, Amit V. Khera, Melina Claussnitzer, Tune H. Pers, Antonio Giordano, Orr Ashenberg, Aviv Regev, Linus T. Tsai & Evan D. RosenEmont, Margo P.; Jacobs, Christopher; Essene, Adam L.; Pant, Deepti; Tenen, Danielle; Colleluori, Georgia; DI VINCENZO, Angelica; Jørgensen, Anja M.; Dashti, Hesam; Stefek, Adam; Mcgonagle, Elizabeth; Strobel, Sophie; Laber, Samantha; Agrawal, Saaket; Westcott, Gregory P.; Kar, Amrita; Veregge, Molly L.; Gulko, Anton; Srinivasan, Harini; Kramer, Zachary; De Filippis, Eleanna; Merkel, Erin; Ducie, Jennifer; Boyd, Christopher G.; Gourash, William; Courcoulas, Anita; Lin, Samuel J.; Lee, Bernard T.; Morris, Donald; Tobias, Adam; Khera, Amit V.; Claussnitzer, Melina; Pers, Tune H.; Giordano, Antonio; Ashenberg, Orr; Regev, Aviv; Tsai &, Linus T.; Rosen, Evan D