ArticleiScience2019
Systematic Identification of Cell-Cell Communication Networks in the Developing Brain.
Article in iScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 58 citations in OpenAlex.
- A transcription factor regulatory atlas for activity inference and perturbation prediction.Nucleic acids research · 2026Article
- Single-nucleus analysis of the adult human olfactory epithelium uncovers shared neurogenesis programs with the brain.Nature communications · 2026Article
- GraphComm predicts cell cell communication using a graph based deep learning method in single cell RNA sequencing data.Scientific reports · 2025Article
- New Insights and Implications of Cell-Cell Interactions in Developmental Biology.International journal of molecular sciences · 2025Review
- Radial glia integrin avb8 regulates cell autonomous microglial TGFβ1 signaling that is necessary for microglial identity.Nature communications · 2025Article
- Mathematically mapping the network of cells in the tumor microenvironment.Cell reports methods · 2025Article
- Machine learning integration with multi-omics data constructs a robust prognostic model and identifies PTGES3 as a therapeutic target for precision oncology in lung adenocarcinoma.Frontiers in immunology · 2025Article
- Japanese encephalitis virus-associated human microglia induce cell death of human microvascular endothelial cells in receptor-independent infection.Frontiers in cellular and infection microbiology · 2025Article
- Dimension reduction, cell clustering, and cell-cell communication inference for single-cell transcriptomics with DcjComm.Genome biology · 2024Article
- Single-cell transcriptomics reveals neural stem cell trans-differentiation and cell subpopulations in whole heart decellularized extracellular matrix.Biophysics reports · 2024Article
- Profiling human brain vascular cells using single-cell transcriptomics and organoids.Nature protocols · 2024Review
- MDIC3: Matrix decomposition to infer cell-cell communication.Patterns (New York, N.Y.) · 2024Article
- Article
- Article
- Review
- Disentangling brain vasculature in neurogenesis and neurodegeneration using single-cell transcriptomics.Trends in neurosciences · 2023Review
- A flow cytometry-based protocol for syngenic isolation of neurovascular unit cells from mouse and human tissues.Nature protocols · 2023Review
- APOE modulates microglial immunometabolism in response to age, amyloid pathology, and inflammatory challenge.Cell reports · 2023Article
- Cultured brain pericytes adopt an immature phenotype and require endothelial cells for expression of canonical markers and ECM genes.Frontiers in cellular neuroscience · 2023Article
- Single-cell profiling of vascular endothelial cells reveals progressive organ-specific vulnerabilities during obesity.Nature metabolism · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since the generation of cell-type specific knockout models, the importance of inter-cellular communication between neural, vascular, and microglial cells during neural development has been increasingly appreciated. However, the extent of communication between these major cell populations remains to be systematically mapped. Here, we describe EMBRACE (embryonic brain cell extraction using FACS), a method to simultaneously isolate neural, mural, endothelial, and microglial cells to more than 94% purity in ∼4 h. Utilizing EMBRACE we isolate, transcriptionally analyze, and build a cell-cell communication map of the developing mouse brain. We identify 1,710 unique ligand-receptor interactions between neural, endothelial, mural, and microglial cells in silico and experimentally confirm the APOE-LDLR, APOE-LRP1, VTN-KDR, and LAMA4-ITGB1 interactions in the E14.5 brain. We provide our data via the searchable "Brain interactome explorer", available at https://mpi-ie.shinyapps.io/braininteractomeexplorer/. Together, this study provides a comprehensive map that reveals the richness of communication within the developing brain.
Indexed as
Identifiers
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.