Single-cell multi-omics characterize colorectal tumors, adjacent healthy tissue and matched organoids identifying CRC-unique features
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE294559
下载链接
链接失效反馈官方服务:
资源简介:
Colorectal cancer (CRC) arises in the colorectal tissue driven by genetic disorder or the accumulation of somatic mutations, leading to abnormal epithelial cell growth. In this study, we employed single-nucleus multi-omics analysis, including single-nucleus RNA-seq and single-nucleus ATAC-seq, on over 100,000 high-quality nuclei to investigate the molecular landscape of both primary tissue and patient-derived organoids (PDOs). Our analysis showed that normal PDOs (N-PDOs) derived from tissue adjacent to tumors replicate the cellular composition and differentiation trajectory of colorectal crypts. In contrast, tumor PDOs (T-PDOs) showed patient-specific transcriptomic and epigenomic heterogeneity yet consistently maintained a stem cell-like state. T-PDOs retained the somatic mutation profile of the primary tumor while also exhibiting de novo mutations not detected in either the primary tumor or N-PDOs. Notably, inferred cell-cell interaction analysis highlighted the activin signaling pathway as a potential unique feature of fibroblast-epithelial interactions within tumor microenvironment. This study provides a comprehensive view of the transition from normal to malignant colorectal epithelium and underscores the utility of PDOs as faithful model for capturing both conserved and patient-specific features of colorectal cancer. Multiome-seq: single-nuclei were isolated from primary colorectal normal and tumor tissues, their derived normal and tumor organoids. Joint snRNA and snATAC libraries were constructed from 10x Genomics Multiome kit. *************************************************************** Raw files for human/patient samples are being made available in EGA (https://www.ebi.ac.uk/ega/) for controlled access to the personally identifiable sequence data. The accession numbers are EGAS00001008067 and EGAS00001008110. ***************************************************************
创建时间:
2025-07-19



