ArticleGenome biology2025
Extracellular vesicle-derived miRNA-mediated cell-cell communication inference for single-cell transcriptomic data with miRTalk.
Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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
12 citing papers in PubMed.
- Artificial intelligence virtual extracellular vesicles (AIVEVs).Bioactive materials · 2026Review
- mBiomolecules · 2026Review
- Multi-omics biomarkers in endometrial receptivity: from mechanisms to clinical translation.Journal of translational medicine · 2026Review
- Identifying potential ligand-receptor interactions by integrating LSTM network and the attention mechanism for cell-cell communication prediction.Journal of translational medicine · 2026Article
- The Mechanistic Review of the Molecular Interface of RNA-Loaded Extracellular Vesicles: Redefining Targeted Therapy for Autoimmune Disorders.International journal of molecular sciences · 2026Review
- SiCmiR Atlas: Single-Cell miRNA Landscape Reveals Hub-miRNA and Network Signatures in Human Cancers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Clinically interpretable extracellular vesicle gene model for Non-Invasive liver cancer diagnosis.Scientific reports · 2026Article
- Tensor-cell2cell v2 unravels coordinated dynamics of protein- and metabolite-mediated cell-cell communication.Bioinformatics (Oxford, England) · 2026Article
- Extracellular Vesicle-Associated Non-Coding RNAs in Preeclampsia: Mechanistic Insights, Biomarker Discovery, and Emerging Nanomedicine Concepts.International journal of nanomedicine · 2026Review
- Advances of extracellular vesicles isolation and detection frontier technology: from heterogeneity analysis to clinical application.Journal of nanobiotechnology · 2025Review
- Review
- Extracellular vesicle-derived miRNA-mediated cell-cell communication inference for single-cell transcriptomic data with miRTalk.Genome biology · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
MicroRNAs are released from cells in extracellular vesicles (EVs), representing an essential mode of cell-cell communication (CCC) via a regulatory effect on gene expression. Single-cell RNA-sequencing technologies have ushered in an era of elucidating CCC at single-cell resolution. Herein, we present miRTalk, a pioneering approach for inferring CCC mediated by EV-derived miRNA-target interactions (MiTIs). The benchmarking against simulated and real-world datasets demonstrates the superior performance of miRTalk, and the application to four disease scenarios reveals the in-depth MiTI-mediated CCC mechanisms. Collectively, miRTalk can infer EV-derived MiTI-mediated CCC with scRNA-seq data, providing new insights into the intercellular dynamics of biological processes.
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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 Socratic graph.