ReviewProtein & cell2020
New avenues for systematically inferring cell-cell communication: through single-cell transcriptomics data.
Review in Protein & cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 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
95 citing papers in PubMed.
- Analytical Methods and Application of Single-Cell and Single-Nucleus Transcriptomics in the Study of Ischemic Stroke.Biomolecules · 2026Review
- Tenascin C promotes the formation of abdominal aortic aneurysm by regulating the homeostasis of vascular smooth muscle cells.Biology direct · 2026Article
- Single-cell transcriptomics profiling elucidates RBP-driven metastatic signaling pathways in ERiScience · 2026Article
- The exploration to identify key molecules in the interaction between endothelial cells and mono-macrophages in atherosclerosis based on the single cell transcriptome.BMC cardiovascular disorders · 2026Article
- Periportal hepatocytes secret SAA1 to recruit MoKCs and interactions through CADM1 signaling to promote MASLD.Hepatology international · 2026Article
- Cell-Type-Specific and Variety-Specific Responses to Salt Stress in Wheat Root Revealed by Single-Cell Transcriptomics.Plant biotechnology journal · 2026Article
- Decoding the archipelago: single-cell biomarkers rechart the molecular geography of acute myeloid leukemia.Cell communication and signaling : CCS · 2026Review
- Single-cell transcriptome analysis reveals regulatory programs associated with tumor resistance during immunotherapy in colorectal cancer.International journal of surgery (London, England) · 2026Article
- Kidney diseases and single-cell sequencing research: a bibliometric analysis from 2015 to 2024.Renal failure · 2025Review
- Crosstalk between macrophages and adjacent cells in AKI to CKD transition.Renal failure · 2025Review
- Ligand-receptor interaction profiling as a predictive biomarker for anti-PD-1 therapy response in melanoma.Clinical and experimental medicine · 2025Article
- Integrating the secretome and interactome to identify novel biomarkers and therapeutic targets in colorectal cancer.Cell communication and signaling : CCS · 2025Article
- Hi-C3: a statistical inference-based model for reconstructing higher-order cell-cell communication networks.Briefings in bioinformatics · 2025Article
- Single-cell transcriptome sequencing reveals tumor stem cells and their molecular characteristics in intrahepatic cholangiocarcinoma.Scientific reports · 2025Article
- Single-cell RNA transcriptome analysis reveals regulatory programs of RNA binding proteins in diabetic foot ulcers.Scientific reports · 2025Article
- Integrative analysis and experimental validation identify the role of CD44 and Nucleolin in regulating gliogenesis following spinal cord injury.Cell regeneration (London, England) · 2025Article
- Single-cell and bulk transcriptome profiling reveals RNA-binding protein regulatory programs in cervical cancer.Scientific reports · 2025Article
- PROS1-MERTK Axis Drives Tumor Microenvironment Crosstalk and Progression in Papillary Thyroid Microcarcinoma.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Review
- Harnessing agent-based frameworks in CellAgentChat to unravel cell-cell interactions from single-cell and spatial transcriptomics.Genome research · 2025Article
35 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
For multicellular organisms, cell-cell communication is essential to numerous biological processes. Drawing upon the latest development of single-cell RNA-sequencing (scRNA-seq), high-resolution transcriptomic data have deepened our understanding of cellular phenotype heterogeneity and composition of complex tissues, which enables systematic cell-cell communication studies at a single-cell level. We first summarize a common workflow of cell-cell communication study using scRNA-seq data, which often includes data preparation, construction of communication networks, and result validation. Two common strategies taken to uncover cell-cell communications are reviewed, e.g., physically vicinal structure-based and ligand-receptor interaction-based one. To conclude, challenges and current applications of cell-cell communication studies at a single-cell resolution are discussed in details and future perspectives are proposed.
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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.