ArticleMolecular systems biology2010
Dynamic interaction networks in a hierarchically organized tissue.
Article in Molecular systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 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.
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
69 citing papers in PubMed, 142 citations in OpenAlex.
- Opening New Horizons: Advanced Hematopoietic Stem Cell Expansion Strategies Bridging Cord Blood Therapy from Bench To Bedside.Stem cell reviews and reports · 2026Review
- Network physiology in space: vision and perspectives on exploring physiological networks during spaceflight for the benefit of life on earth.Frontiers in network physiology · 2026Article
- GABA produced by multiple bone marrow cell types regulates hematopoietic stem and progenitor cells.Stem cell reports · 2025Article
- Cell networks in the mouse liver during partial hepatectomy.Stem cell reports · 2025Article
- A count-based model for delineating cell-cell interactions in spatial transcriptomics data.Bioinformatics (Oxford, England) · 2024Article
- The evolving hematopoietic niche during development.Frontiers in molecular biosciences · 2024Review
- Histamine and Serotonin Levels in Bone Marrow Stem Cells Niche as Potential Biomarkers of Systemic Mastocytosis and Myeloproliferative Disorders.Stem cell reviews and reports · 2023Article
- A systematic evaluation of the computational tools for ligand-receptor-based cell-cell interaction inference.Briefings in functional genomics · 2022Article
- LRLoop: a method to predict feedback loops in cell-cell communication.Bioinformatics (Oxford, England) · 2022Article
- Single-cell transcriptomics and cell-specific proteomics reveals molecular signatures of sleep.Communications biology · 2022Article
- Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data.Nature communications · 2022Article
- Mapping the epithelial-immune cell interactome upon infection in the gut and the upper airways.NPJ systems biology and applications · 2022Article
- A specialized bone marrow microenvironment for fetal haematopoiesis.Nature communications · 2022Article
- The use of machine learning to discover regulatory networks controlling biological systems.Molecular cell · 2022Review
- Dynamic inference of cell developmental complex energy landscape from time series single-cell transcriptomic data.PLoS computational biology · 2022Article
- Article
- Integrated intra- and intercellular signaling knowledge for multicellular omics analysis.Molecular systems biology · 2021Article
- Deciphering cell-cell interactions and communication from gene expression.Nature reviews. Genetics · 2021Review
- Leveraging systems biology for predicting modulators of inflammation in patients with COVID-19.Science advances · 2021Article
- Network Approaches for Dissecting the Immune System.iScience · 2020Review
9 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
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intercellular (between cell) communication networks maintain homeostasis and coordinate regenerative and developmental cues in multicellular organisms. Despite the importance of intercellular networks in stem cell biology, their rules, structure and molecular components are poorly understood. Herein, we describe the structure and dynamics of intercellular and intracellular networks in a stem cell derived, hierarchically organized tissue using experimental and theoretical analyses of cultured human umbilical cord blood progenitors. By integrating high-throughput molecular profiling, database and literature mining, mechanistic modeling, and cell culture experiments, we show that secreted factor-mediated intercellular communication networks regulate blood stem cell fate decisions. In particular, self-renewal is modulated by a coupled positive-negative intercellular feedback circuit composed of megakaryocyte-derived stimulatory growth factors (VEGF, PDGF, EGF, and serotonin) versus monocyte-derived inhibitory factors (CCL3, CCL4, CXCL10, TGFB2, and TNFSF9). We reconstruct a stem cell intracellular network, and identify PI3K, Raf, Akt, and PLC as functionally distinct signal integration nodes, linking extracellular, and intracellular signaling. This represents the first systematic characterization of how stem cell fate decisions are regulated non-autonomously through lineage-specific interactions with differentiated progeny.
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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.