Integrating spatial transcriptomics and single-cell RNA-seq dissects immune microenvironment in fatty liver regeneration [0.03%]
空间转录组学和单细胞RNA测序解析脂肪肝再生免疫微环境
Chenhao Xu,Renyi Su,Yisu Song et al.
Chenhao Xu et al.
Differentiable Graph Clustering with Structural Grouping for Single-cell RNA-seq Data [0.03%]
基于结构化分组的单细胞RNA测序数据可微图聚类方法
Xiaoqiang Yan,Shike Du,Quan Zou et al.
Xiaoqiang Yan et al.
Motivation: Clustering cells into subpopulations is one of the most crucial tasks in single-cell RNA sequencing (scRNA-seq) data analysis, which provides support for biological research at cellular level. With the develop...
Liang Sun,Qianyi Ma,Chunhui Cai et al.
Liang Sun et al.
Single-cell transcriptomics data are analyzed using two popular tools, Seurat and Scanpy. Multiple separate tools are used downstream of Seurat and Scanpy cell annotation to study cell differentiation and communication, including cell propo...
Molecular Fingerprint of Endocannabinoid Signaling in the Developing Paraventricular Nucleus of the Hypothalamus as Revealed by Single-Cell RNA-Seq and In Situ Hybridization [0.03%]
单细胞RNA测序和原位杂交揭示下丘脑室旁核内源性大麻素信号的分子特征
Evgenii O Tretiakov,Zsófia Hevesi,Csenge Böröczky et al.
Evgenii O Tretiakov et al.
The paraventricular nucleus of the hypothalamus (PVN) regulates, among others, the stress response, sexual behavior, and energy metabolism through its magnocellular and parvocellular neurosecretory cells. Within the PVN, ensemble coordinati...
A single-cell RNA-seq dataset of synovial fluid from rheumatoid arthritis treated with TNF-α/JAK inhibitor [0.03%]
肿瘤坏死因子-α/Janus激酶抑制治疗的类风湿关节炎滑膜液单细胞RNA测序数据集
Chenjia He,Zhixiang Ren,Xuyang Xia et al.
Chenjia He et al.
Although multiple single-cell RNA sequencing (scRNA-seq) based studies have explored rheumatoid arthritis (RA), most have focused on synovial tissue, limiting the ability to perform paired pre- and post-treatment comparisons and to elucidat...
scEVE: a single-cell RNA-seq ensemble clustering algorithm capitalizing on the differences of predictions between multiple clustering methods [0.03%]
基于多个聚类方法预测差异的单细胞RNA测序数据集成聚类算法(scEVE)
Yanis Asloudj,Fleur Mougin,Patricia Thébault
Yanis Asloudj
Single-cell RNA sequencing measures individual cell transcriptomes in a sample. In the past decade, this technology has motivated the development of hundreds of clustering methods. These methods attempt to group cells into populations by le...
Dynamic evolution of venetoclax resistance in acute myeloid leukemia unveiled by longitudinal single-cell RNA-seq [0.03%]
纵向单细胞RNA测序揭示急性髓系白血病中Venetoclax耐药的动态演变过程
Huan Lu,Huafeng Wang,Qiwei Wang et al.
Huan Lu et al.
Despite extensive investigation into venetoclax resistance mechanisms in acute myeloid leukemia (AML), the dynamics of bone marrow (BM) microenvironment remodeling during venetoclax-based therapies remain poorly characterized at single-cell...
Single-cell RNA-seq analysis reveals the multi-step process of cellular senescence [0.03%]
单细胞RNA测序分析揭示细胞衰老的多步骤过程
Minseo Ahn,Junil Kim,Jae Ho Seo
Minseo Ahn
Cellular senescence is a phenomenon marked by an irreversible growth arrest with altered physiological properties. Many studies have focused on the characteristics of cells that have already entered a senescent state. However, to elucidate ...
ScInfeR: an efficient method for annotating cell types and sub-types in single-cell RNA-seq, ATAC-seq, and spatial omics [0.03%]
ScInfeR：一种用于单细胞RNA测序、ATAC测序和空间组学中注释细胞类型和亚型的高效方法
Asish Kumar Swain,Rajveer Singh Shekhawat,Pankaj Yadav
Asish Kumar Swain
Cell-type annotation remains a major challenge in single-cell and spatial omics analysis. Most existing methods rely on single-cell RNA sequencing (scRNA-seq) references or predefined marker sets. However, the scarcity of high-quality scRNA...
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