ArticleNature communications2017
Single-cell entropy for accurate estimation of differentiation potency from a cell's transcriptome.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 181 papers.
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Who cites it
181 citing papers in PubMed.
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- Fail-Closed Validation of Lineage-Associated Transcript-Count Diversity After IFN-β Stimulation in a Public Human PBMC Dataset.International journal of molecular sciences · 2026Article
- Tissue-Level Transcriptomic Entropy Reveals Organ-Specific Aging Patterns and Predicts Cancer Progression.Aging cell · 2026Article
- Article
- Signalling Entropy Across Measurement Scales: A Compositional Dilution Lemma and Cross-Modality Invariance for Information-Theoretic Analysis of Cancer Transcriptomes.Entropy (Basel, Switzerland) · 2026Article
- FIERCE: reconstructing dynamic trajectories from the differentiation potency of single cells.Bioinformatics (Oxford, England) · 2026Article
- Metabolic Dysregulation of FC3 Fibrochondrocytes via MDH2 Promotes Intervertebral Disc Degeneration.Journal of cellular and molecular medicine · 2026Article
- Spatiotemporal Transcriptomic Dissection Uncovers Age-Dependent Deceleration of Esophageal Cell Differentiation.bioRxiv : the preprint server for biology · 2026Article
- AnnQ: reference-based quantification of cellular abnormality at single-cell resolution.Briefings in bioinformatics · 2026Article
- Advancing single-cell omics and cell-based therapeutics with quantum computing.Nature reviews. Molecular cell biology · 2026Review
- Integrated single-cell and spatial mapping coupled with machine learning unveils core stemness landscapes and regulatory drivers in triple-negative breast cancer.Discover oncology · 2026Article
- Rejuvenation of mesenchymal stromal cells via partial reprogramming enables scalable generation of transcriptionally diverse MSC libraries.Stem cell research & therapy · 2026Article
- THY1Nature cell biology · 2026Article
- Single-cell atlas of human lung aging identifies cell type dyssynchrony and increased transcriptional entropy.Nature communications · 2026Article
- Neg-entropy is the true drug target for chronic diseases.Acta pharmaceutica Sinica. B · 2026Review
- Beyond static biomarkers: systems biology and AI for decoding cancer dynamics.Frontiers in systems biology · 2026Review
- Single-cell RNA sequencing defines prognostic subtypes and identifies AIF1L as a therapeutic target in colorectal cancer.BMC cancer · 2025Article
- Deciphering precursor cell dynamics in esophageal preneoplasia via genetic barcoding and single-cell transcriptomics.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
121 more citing papers are in PubMed but not listed here.
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Authors and funding
2 authors.
Funding
Abstract
The ability to quantify differentiation potential of single cells is a task of critical importance. Here we demonstrate, using over 7,000 single-cell RNA-Seq profiles, that differentiation potency of a single cell can be approximated by computing the signalling promiscuity, or entropy, of a cell's transcriptome in the context of an interaction network, without the need for feature selection. We show that signalling entropy provides a more accurate and robust potency estimate than other entropy-based measures, driven in part by a subtle positive correlation between the transcriptome and connectome. Signalling entropy identifies known cell subpopulations of varying potency and drug resistant cancer stem-cell phenotypes, including those derived from circulating tumour cells. It further reveals that expression heterogeneity within single-cell populations is regulated. In summary, signalling entropy allows in silico estimation of the differentiation potency and plasticity of single cells and bulk samples, providing a means to identify normal and cancer stem-cell phenotypes.
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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.