Single cell analyses of cancer cells identified two regulatorily and functionally distinct categories in differentially expressed genes among tumor subclones
Wei CaoiD, Xuefei Julie WangiD, Kaiwen Luo, Yang LiiD, Jiahong SuniD, Ruqing Fu, Qi ZhangiD, Ni HongiD, Edwin Chong Wing CheungiD, Wenfei JiniD
Abstract
To explore the feature of cancer cells and tumor subclones, we analyzed 101,065 single-cell transcriptomes from 12 colorectal cancer (CRC) patients and 92 single cell genomes from one of these patients. We found cancer cells, endothelial cells and stromal cells in tumor tissue expressed much more genes and had stronger cell-cell interactions than their counterparts in normal tissue. We identified copy number variations (CNVs) in each cancer cell and found correlation between gene copy number and expression level in cancer cells at single cell resolution. Analysis of tumor subclones inferred by CNVs showed accumulation of mutations in each tumor subclone along lineage trajectories. We found differentially expressed genes (DEGs) between tumor subclones had two populations: DEGCNV and DEGreg. DEGCNV, showing high CNV-expression correlation and whose expression differences depend on the differences of CNV level, enriched in housekeeping genes and cell adhesion associated genes. DEGreg, showing low CNV-expression correlation and mainly in low CNV variation regions and regions without CNVs, enriched in cytokine signaling genes. Furthermore, cell-cell communication analyses showed that DEGCNV tends to involve in cell-cell contact while DEGreg tends to involve in secreted signaling, which further support that DEGCNV and DEGreg are two regulatorily and functionally distinct categories.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 3th percentile
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Principles of subclonal gene dosage across human cancer
Sólrún Kolbeinsdóttir, Vasilios Zachariadis, … Martin Enge·bioRxiv·Mar 18, 2026
- Single-cell RNA-seq data reveals TNBC tumor heterogeneity through characterizing subclone compositions and proportions
- Redefining colorectal cancer classification and clinical stratification through a single-cell atlas
A. M. Khaliq, z. kurt, … A. Masood·bioRxiv·Feb 2, 2021
- Cancer subclone detection based on DNA copy number in single cell and spatial omic sequencing data
Chi-Yun Wu, Jiazhen Rong, … Nancy Ruonan Zhang·Nature MethodsPeer-reviewed·Sep 1, 2025
- Resolving sub-clonal heterogeneity within cell-line growths by single cell sequencing genomic DNA
Enrique I. Velazquez-Villarreal, Shamoni Maheshwari, … David Wesley Craig·bioRxiv·Sep 5, 2019
- Multi-regional characterisation of renal cell carcinoma and microenvironment at single cell resolution
Ruoyan Li, John Robert Ferdinand, … Thomas J. Mitchell·bioRxiv·Nov 12, 2021