Tag: snRNA-seq

Identification of a regulatory pathway inhibiting adipogenesis via RSPO2

Integration of APC scRNA-seq data reveals heterogeneity of adipocyte progenitor cells In a previous study9, we defined Lin−Sca1+CD142+ APCs as adipogenesis regulatory (Areg) cells and demonstrated that these cells are both refractory toward adipogenesis and control adipocyte formation of APCs through paracrine signaling. In contrast, Merrick et. al.4 observed that Lin−CD142+ cells…

Continue Reading Identification of a regulatory pathway inhibiting adipogenesis via RSPO2

Cellular and Molecular Atlas of the Macaque Dorsal Horn

Arokiaraj, Cynthia Mary (2022) Cellular and Molecular Atlas of the Macaque Dorsal Horn. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Abstract The spinal cord dorsal horn occupies a key position in the central nervous system, as it is the first site of integration of somatosensory input from the periphery. Local interneurons…

Continue Reading Cellular and Molecular Atlas of the Macaque Dorsal Horn

About ‘Estimated Number of cells’ in snRNA-seq

About ‘Estimated Number of cells’ in snRNA-seq 0 Hi all, I am analyzing single nucleus RNA-seq data using Seurat. And I have total four group and 24 samples (Brain region A Control & case and Brain region B Control & case; each n=6). I wonder what is the appropriate range…

Continue Reading About ‘Estimated Number of cells’ in snRNA-seq

VisCello Shiny app code for hosting snRNA-seq data

I am trying to set up VisCello shiny app for hosting some of our single cell data, analyzed in Seurat: github.com/qinzhu/VisCello I am using the following code though running into a problem, the app launches however I dont see the umaps and when I click over to differential expression the…

Continue Reading VisCello Shiny app code for hosting snRNA-seq data