Fig. 1: Single-cell atlas of expression and chromatin accessibility in CRC development. a, Summary of the samples in this study. The bar chart shows the number of normal/unaffected colon tissues (gray), adenomas
Advancements made in the last decade in uncovering predictive biomarkers have paved the way for novel therapeutic prospects in the fields of targeted therapy and immunotherapy on the basis of tumour histology and PDL1 expression6. A number of studies have employed single-cell technologies to explore...
Single-cell atlas of human breast cancer.aUMAP plot of 49,141 cells from tumor tissue of the 8 untreated breast cancer patients, showing 10 clusters in the plot. Each cluster was shown in different color. R package harmony was used to correct batch effects and constructed one UMAP based on...
www.nature.com/npjprecisiononcology ARTICLE OPEN Single-cell atlas of diverse immune populations in the advanced biliary tract cancer microenvironment Xuebing Shi 1,2,10, Zhixuan Li2,10, Renqi Yao3,4,10, Qingbao Cheng1, Wei Li1, Rui Wu1,2, Zhihua Xie1,2, Yanjing Zhu2, Xinyao Qiu5,...
Figure 1. A Single-Cell Proteomic Atlas of Breast Cancer Ecosystems (A) Experimental approach. (B) t-SNE plots of EpCAM, CD45, CD31, and FAP expression in 58,000 cells from all samples using a 0 to 1 normalization. (C) t-SNE as in (B), colored by cell type. (D and E) Frequ...
(2022). High-resolution single-cell atlas reveals diversity and plasticity of tissue-resident neutrophils in non-small cell lung cancer. Cancer Cell. doi:10.1016/j.ccell.2022.10.008The single cell lung cancer atlas is a resource integrating more than 1.2 million cells from 309 patients across 29...
1B). We obtained single-cell transcriptomes of 114,927 cells in which 57,607 cells (50.1%) were from primary tumors and 57,320 cells (49.9%) were from matching adjacent normal tissues (Fig. 1C, Table S3). To define the cellular composition in the TME and subpopulation structure of GBC...
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
Tumor heterogeneity presents a formidable challenge in understanding the mechanisms driving tumor progression and metastasis. The heterogeneity of hepatocellular carcinoma (HCC) in cellular level is not clear. Integration analysis of single-cell RNA sequ
Single-cell RNA sequencing (scRNA-seq), a technology that analyzes transcriptomes of complex tissues at single-cell levels, can identify differential gene expression and epigenetic factors caused by mutations in unicellular genomes, as well as new cell-specific markers and cell types. scRNA-seq plays...