protein activity inferencesingle-cell RNA sequencingtumor microenvironmentClear cell renal carcinoma (ccRCC) is a heterogeneous disease with a variable post-surgical course. To assemble a comprehensive ccRCC tumor microenvironment (TME) atlas, we performed single-cell RNA sequencing (scRNA-seq) of ...
We leveraged the VIPER algorithm to quantitate single-cell protein activity and validated this approach by comparison to flow cytometry. The analysis identified key TME subpopulations, as well as their master regulators and candidate cell-cell interactions, revealing clinically relevant populations, ...
Discovery of CD80 and CD86 as recent activation markers on regulatory T cells by protein-RNA single-cell analysis.
Recent advances in single-cell technologies have enabled high-throughput molecular profiling of cells across modalities and locations. Single-cell transcriptomics data can now be complemented by chromatin accessibility, surface protein expression, adapti
Metabolic reprogramming in cancer and immune cells occurs to support their increasing energy needs in biological tissues. Here we propose Single Cell Spatially resolved Metabolic (scSpaMet) framework for joint protein-metabolite profiling of single immun
2.3.2Single cell analysis Cell-to-cell variability arises in many physiological contexts, such as during development (Fortini 2009). Furthermore, protein abundances can vary and individual cells can differ in the magnitude they respond to stimuli (Spencer et al. 2009). Thus, single cell analysis...
Single-cell assay is an ensemble of genomics, transcriptomics, proteomics and metabolomics to study a system at a single cell level.
Bulk RNA数据基于细胞群体水平获得组织的平均特性,反映细胞群体的平均差异,而Single-cell RNA通过单个细胞的mRNA进行转录组分析,识别不同细胞亚群的细胞类型、状态和谱系,绘制细胞图谱、鉴定细胞异质性,可以精准解析细胞亚类功能及对疾病的影响[...
Cancer-associated fibroblasts (CAFs) are a heterogeneous cell population that plays a crucial role in remodeling the tumor microenvironment (TME). Here, through the integrated analysis of spatial and single-cell transcriptomics data across six common can
Single-cell T cell and B cell antigen receptor-sequencing data analysis can potentially perform in-depth assessments of adaptive immune cells that inform on understanding immune cell development to tracking clonal expansion in disease and therapy. However, it has been extremely challenging to analyze ...