ReviewExperimental & molecular medicine2020
Single-cell network biology for resolving cellular heterogeneity in human diseases.
Review in Experimental & molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 1 of them a synthesis that pooled it.
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
85 citing papers in PubMed, 1 synthesis or guideline pooled it, 144 citations in OpenAlex.
- Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application.Molecular neurodegeneration · 2022Pooled it
- 4-1BBCell reports. Medicine · 2025Trial
- Single-nuclei RNA sequencing reveals obesity-associated rewiring of estrogen signaling in endometrioid adenocarcinoma.iScience · 2026Article
- ScanNet: Single-cell annotation informed by transcriptional regulation Network via iterative heterogeneous graph learning.PLoS computational biology · 2026Article
- Single-cell transcriptome reveals keratinocyte subclusters contributing to altered differentiation and inflammatory responses in atopic dermatitis.Nature communications · 2026Article
- Data-intensive immune network modelling for One Health.Briefings in bioinformatics · 2026Review
- Addressing multiple facets of ligand-receptor network inference including single-cell proteomics.Nucleic acids research · 2026Article
- Phased fragility and stability of non-genetic B cell states in the germinal center accelerate the genetic evolution of antibodies.Cell systems · 2026Article
- Single-cell analysis identifies dysregulated cell type-specific gene programs and intercellular crosstalk underlying colorectal cancer.NPJ precision oncology · 2026Article
- GEDO: topology-based inference of gene module activity in Sjögren's disease.Briefings in bioinformatics · 2026Article
- The heterogeneity of dermal mesenchymal cells reproduced in skin equivalents regulates barrier function and elasticity.EMBO reports · 2026Article
- CSsingle: a unified tool for robust decomposition of bulk and spatial transcriptomic data across diverse single-cell references.Nucleic acids research · 2026Article
- GDSim: accurate simulation for single-cell transcriptomes based on the guided diffusion model.Briefings in bioinformatics · 2026Article
- scAURA: Alignment- and Uniformity-based Graph Debiased Contrastive Representation Architecture for Self-Supervised Clustering of Single-Cell Transcriptomics.bioRxiv : the preprint server for biology · 2026Article
- Review
- Revealing hidden regulatory dependencies: multi-perspective graph learning for single-cell gene regulatory network inference.Briefings in bioinformatics · 2026Article
- Single-cell dissection of hepatocellular carcinoma immunity: from heterogeneous subtypes to precision therapeutics.Frontiers in immunology · 2026Review
- Key Concepts in Transcriptomics Data Analysis in the Era of Next-Gen Sequencing.Advances in experimental medicine and biology · 2026Review
- Exploring Functionally Enhanced BLP-Trained Macrophage Subpopulations in S. Aureus Infection: Underlying Mechanisms and Therapeutic Significance.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Integrated bioinformatics analysis identifies glutathione metabolism-related genes as diagnostic biomarkers for periodontitis.BMC oral health · 2025Article
25 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Understanding cellular heterogeneity is the holy grail of biology and medicine. Cells harboring identical genomes show a wide variety of behaviors in multicellular organisms. Genetic circuits underlying cell-type identities will facilitate the understanding of the regulatory programs for differentiation and maintenance of distinct cellular states. Such a cell-type-specific gene network can be inferred from coregulatory patterns across individual cells. Conventional methods of transcriptome profiling using tissue samples provide only average signals of diverse cell types. Therefore, reconstructing gene regulatory networks for a particular cell type is not feasible with tissue-based transcriptome data. Recently, single-cell omics technology has emerged and enabled the capture of the transcriptomic landscape of every individual cell. Although single-cell gene expression studies have already opened up new avenues, network biology using single-cell transcriptome data will further accelerate our understanding of cellular heterogeneity. In this review, we provide an overview of single-cell network biology and summarize recent progress in method development for network inference from single-cell RNA sequencing (scRNA-seq) data. Then, we describe how cell-type-specific gene networks can be utilized to study regulatory programs specific to disease-associated cell types and cellular states. Moreover, with scRNA data, modeling personal or patient-specific gene networks is feasible. Therefore, we also introduce potential applications of single-cell network biology for precision medicine. We envision a rapid paradigm shift toward single-cell network analysis for systems biology in the near future.
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What OpenQuestion holds
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.