Here we use deep single-cell RNA sequencing (scRNAseq) together with other experimental approaches to investigate fate choices, lineage relationships and molecular determinants during early stages of sensory neurogenesis in the mouse. Overall, our data provide insights into the structure of the Waddingto...
[4] Tiklová K, Björklund ÅK, Lahti L, et al. Single-cell RNA sequencing reveals midbrain dopamine neuron diversity emerging during mouse brain development[J]. Nat Commun. 2019 Feb 4;10(1):581.(IF=12.353) [5] Bartoschek M, Oskolkov N, Bocci M, et al. Spatially and functionall...
Single-cell RNA sequencing (scRNA-seq) has enabled researchers to study gene expression at a cellular resolution. However, noise due to amplification and dropout may obstruct analyses, so scalable denoising methods for increasingly large but sparse scRNA-seq data are needed. We propose a deep count...
The single-cell RNA sequencing (scRNA-seq) is an emerging technology that provides a powerful tool for identifying cell types and cell states by analyzing the expression profile of an individual cell's transcriptome [30,31]. This technique has been successfully utilized to gain insights into the ...
Single-cell RNA-sequencing (scRNA-seq) is revolutionizing our understanding of the genomic, transcriptomic and epigenomic landscapes of cells within organs. The mammalian brain is composed of a complex network of millions to billions of diverse cells wit
题目:Diversification of molecularly defined myenteric neuron classes revealed by single-cell RNA sequencing 时间:2020年12月 期刊:Nature Neuroscience (IF: 22.865) 链接:https://doi.org/10.1038/s41593-020-00736-x 作者使用单细胞转录组测序共捕获了 9141 个细胞,保留 4892 个高质量的肠神经元进行后续分析...
single-cell RNA-seq hypothalamus cell heterogeneity oligodendrocyte tanycyte neuron diversity Introduction The hypothalamus is one of the most complex brain regions, essential for regulating physiological and behavioral homeostasis. Numerous studies have revealed its role in orchestrating a wide range of anima...
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
Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation Jupyter Notebook216 Repositories XClonePublic Detection of allele-specific subclonal copy number alterations from single-cell transcriptomic data. Python29Apache-2.035(2 issues need help)0UpdatedAug 23, 2024 ...
In this study, we used single-cell RNA-sequencing (scRNAseq) to define the molecular logic by which SGN subtypes diversify in the mouse. Our detailed analysis of transcriptional dynamics of SGNs from several embryonic and perinatal stages indicates that neuronal subtypes successively emerge during HC...