ArticleNature communications2023
Single cell multi-omics reveal intra-cell-line heterogeneity across human cancer cell lines.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
58 citing papers in PubMed, 78 citations in OpenAlex.
- PROTACs in cancer therapy: targeted degradation of GPX4, PARP and epigenetic regulators.Journal of enzyme inhibition and medicinal chemistry · 2026Review
- Clonal lineage tracing and parallel multiomics profiling reveal transcriptional heterogeneity induced by ARID1A deficiency.Science advances · 2026Article
- Single-cell epigenomics of colorectal cancer.Experimental & molecular medicine · 2026Review
- Targeted Strategies of Adipose Stem Cells for Metabolic Diseases: Mechanisms and Clinical Translation Challenges.Stem cell reviews and reports · 2026Review
- Tumor-intrinsic IFNγ signaling and niche adaptation drive early colonization in ovarian cancer metastasis.Nature communications · 2026Article
- Single-cell multimodal profiling of pan-cancer cell lines uncovers gene regulatory principles underlying intrinsic cell states and environmental features.Nature communications · 2026Article
- A Highly Selective, Cell-Permeable Fluorescent Probe for Imaging Histone Deacetylase 6 in Live Cells.Journal of the American Chemical Society · 2026Article
- Multi-omics and artificial intelligence for precision drug discovery and potential clinical applications.Signal transduction and targeted therapy · 2026Review
- Single-cell multimodal profiling of pan-cancer cell lines uncovers gene regulatory principles underlying intrinsic cell states and environmental features.bioRxiv : the preprint server for biology · 2026Article
- A multimodal adaptive optical microscope for in vivo imaging from molecules to organisms.Nature methods · 2026Article
- Cell assays in microcompartments driven by droplet microfluidics and hydrogel technologies.Journal of biochemistry · 2026Review
- Single-cell transcriptomics of chicken ovarian cancer identifying immune subsets with prognostic implications.Poultry science · 2026Article
- Unannotated noncoding transcripts as a source of intratumor heterogeneity in malignant cell states.Science China. Life sciences · 2026Article
- Mendelian randomization facilitates identification of schizophrenia risk enhancer RNAs.Molecular psychiatry · 2026Article
- AI-integrated microfluidics for drug screening: From single cell to organ-on-a-chip.Acta pharmaceutica Sinica. B · 2026Review
- Quantum dot enhanced photonic biosensors for single cell analysis from synthesis to clinical application.Discover nano · 2026Review
- A Pan-Cancer Single-Cell Atlas to Evaluate Tumor Identity, Cell Line Concordance, and Dependency Mapping.bioRxiv : the preprint server for biology · 2026Article
- scII: Dual-Threshold Adaptive Integration of Single-Cell Multiomics Data Driven by Imputation.Journal of chemical information and modeling · 2026Article
- Single-cell omics in tumor lymph node metastasis: mechanisms and therapeutic implications.Molecular cancer · 2026Review
- Multidimensional lung imaging: integrated preclinical platforms enabling the identification of translational biomarkers for pulmonary research.Respiratory research · 2026Review
Corrections and comments
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Authors and funding
36 authors at 3 institutions in 1 country.
Funding
Abstract
Human cancer cell lines have long served as tools for cancer research and drug discovery, but the presence and the source of intra-cell-line heterogeneity remain elusive. Here, we perform single-cell RNA-sequencing and ATAC-sequencing on 42 and 39 human cell lines, respectively, to illustrate both transcriptomic and epigenetic heterogeneity within individual cell lines. Our data reveal that transcriptomic heterogeneity is frequently observed in cancer cell lines of different tissue origins, often driven by multiple common transcriptional programs. Copy number variation, as well as epigenetic variation and extrachromosomal DNA distribution all contribute to the detected intra-cell-line heterogeneity. Using hypoxia treatment as an example, we demonstrate that transcriptomic heterogeneity could be reshaped by environmental stress. Overall, our study performs single-cell multi-omics of commonly used human cancer cell lines and offers mechanistic insights into the intra-cell-line heterogeneity and its dynamics, which would serve as an important resource for future cancer cell line-based studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.