cell-associated genes (Fig.2a, b). Of note, the majority of immune cell transcripts within this sub-cluster were derived from the MCAO ipsi datasets (Supplementary Fig.8e, Supplementary notes). Importantly, previous research has shown that oligodendrocyte transcripts accumulate in the nuclear compa...
Analyses of transcriptional bursting from single-cell RNA-sequencing data have revealed patterns of variation and regulation in the kinetic parameters that could be inferred. Here we profiled newly transcribed (4-thiouridine-labelled) RNA across 10,000 i
Cell suspension preparation The liver tissue samples for snRNA-seq were selected from one male Dahe pigs and one male Dahe black pigs with body weights closest to the average body weight. Samples were subjected to nuclear isolation, sequencing, and library preparation following the 10X Genomics prot...
Using our individual-resolved, whole-organism data, we were also able to estimate the variability of cell type abundances over developmental time. To estimate variance, we adapted a statistical framework commonly used to account for mean–variance relationships in sequencing experiments to model variabil...
Single-cell sequencing technologies can be used to detect the genome, transcriptome and other multi-omics of single cells. They can show the differences and evolutionary relationships of various cells. This review introduces the latest advances in single
contained in the nucleus of the cell 13 , and it avoids harsh treatment that would perturb gene expression. Through extensive comparisons of nuclear and cellular transcriptomes, we demonstrated that nuclei can substitute for whole cells in most RNA-seq applications ...
Nuclear RNA-seq of single neurons reveals molecular signatures of activation Single-cell sequencing methods have emerged as powerful tools for identification of heterogeneous cell types within defined brain regions. Application of single-cell techniques to study the transcriptome of activated neurons can ...
These results suggest that the nuclear transcriptome is sufficient to reveal the tissue heterogeneity of the Arabidopsis root. The topology of the clusters generated by the UMAP technique reveals the functional organization of the cells and nuclei in and between the cell types (Figure 2A; ...
Single cardiomyocyte nuclear transcriptomes reveal a lincRNA-regulated de-differentiation and cell cycle stress-response in vivo. Nat. Commun. 8, 225 (2017). Article PubMed PubMed Central CAS Google Scholar Gao, R. et al. Nanogrid single-nucleus RNA sequencing reveals phenotypic diversity in ...
J. in Single Cell Methods: Sequencing and Proteomics (ed. Proserpio, V.) 9–21 (Springer, 2019). See, K. et al. Single cardiomyocyte nuclear transcriptomes reveal a lincRNA-regulated de-differentiation and cell cycle stress-response in vivo. Nat. Commun. 8, 225 (2017). PubMed PubMed ...