2025年2月18日 · Cancer-associated fibroblasts (CAFs) are key components of the hepatocellular carcinoma (HCC) tumor microenvironment (TME). regulating tumor proliferation, metastasis, therapy resistance, immune evasion via diverse mechanisms.

2024年8月2日 · We established a heterogeneity landscape of HCC malignant cells by integrated 52 single-cell RNA sequencing data and 5 spatial transcriptomics data. We identified three subtypes in tumor cells, including ARG1 + metabolism subtype (Metab-subtype), TOP2A + proliferation phenotype (Prol-phenotype), and S100A6 + pro-metastatic subtype (EMT-subtype).

2024年11月15日 · This study profiled global single cell-spatial-bulk transcriptome landscapes of hepatocellular carcinoma (HCC) ecosystem from six HCC cases and a non-carcinoma liver control donor.

2023年11月20日 · Here, using single-cell RNA sequencing, spatial transcriptomic and bulk multi-omics, we elaborated a molecular architecture of 3 PLC types, namely hepatocellular carcinoma (HCC), intrahepatic...

2021年12月17日 · To comprehensively analyze the spatial heterogeneity of PLC, we collected 21 tissue specimens from seven patients including five cases of HCC (HCC-1 to HCC-5), one case of combined hepatocellular and cholangiocarcinoma (cHC-1), and one case of ICC (ICC-1) and applied ST sequencing via 10x Genomics Visium platform (Fig. 1A).

2024年4月26日 · Hepatocellular carcinoma (HCC), one of the most prevalent cancers globally, is closely associated with tumor-associated macrophages (TAMs), including monocyte-derived macrophages and liver-resident Kupffer cells. Understanding TAM heterogeneity at the cellular level is crucial for developing effective HCC prevention and treatment strategies.

2024年9月26日 · Our data provide deep insights into the heterogeneity of tumor microenvironment architecture and unveil the critical role of VIMhigh macrophages during HCC progression, which holds potential for...

2021年4月15日 · hi，各位，2021年1月份发表了一篇文献 Delineating copy number and clonal substructure in human tumors from single-cell transcriptomes ,2021年1月发表于nature biotechnology，影响因子36分多，非常高，前几位的作者都是中国人，非常值得一看，文章中推出新的推断肿瘤细胞CNV的方法：copyKAT，也是通过单细胞转录组数据来推断细胞的染色体倍数，进而推断是正常细胞（diploid）还是肿瘤细胞（aneuploid）。 它还可以进一步对肿瘤细胞 …

2024年11月25日 · 我们选取了一个肝细胞癌 （HCC） 肿瘤数据 内皮细胞的癌胎重编程驱动肝细胞癌中的免疫抑制性巨噬细胞 （Sharma et al） - Mendeley Data 作为演示。 数据概览： 用于区分肿瘤与正常样本，可作为大类划分。 按照上面2类的结果，umap图绘制如下： basis ="X_umap", color = ['NormalvsTumor'], title ='', show =True, frameon ='small', ax = ax. 检查巨噬细胞（TAM, Tumor-Associated Macrophages）是否是某个独立的聚类。 按照上面29类的结果，umap图绘 …

We employed scRNA sequencing to extensively characterize the cellular landscape of human liver from development to disease. Analysis of ∼212,000 cells representing human fetal, hepatocellular carcinoma (HCC), and mouse liver revealed remarkable fetal-like reprogramming of the tumor microenvironment.