ArticleFrontiers in physiology2020
Computational Approach to Identifying Universal Macrophage Biomarkers.
Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed, 47 citations in OpenAlex.
- Catestatin restores cardiac metabolic flexibility and enhances mitochondrial function.Communications biology · 2026Article
- Macrophage metabolism directs regenerative versus fibrotic healing through BMP signaling in the mouse digit tip.bioRxiv : the preprint server for biology · 2026Article
- Human pain transcriptomics: lessons learned so far.Pain reports · 2026Review
- A macrophage-induced subpopulation of mesenchymal cells expressing Fcer1g contributes to wound-induced fibrosis.Nature communications · 2026Article
- Bronchopulmonary dysplasia: signatures of monocyte-macrophage reactivity and tolerance define novel placenta-lung endotypes.Pediatric research · 2025Article
- Integrating bulk and single-cell RNA sequencing data to dissect genetic links between periodontitis and obstructive sleep apnea.Sleep & breathing = Schlaf & Atmung · 2025Article
- Trajectory analysis reveals an uncommitted neuroblastic state in MYCN-driven neuroblastoma development.Neuro-oncology · 2025Article
- Microglial replacement in a Sandhoff disease mouse model reveals myeloid-derived β-hexosaminidase is necessary for neuronal health.Nature communications · 2025Article
- Macrophage inhibition in the alleviation of nonalcoholic steatohepatitis caused by bariatric surgery.Genes and immunity · 2025Article
- Human skeletal development and regeneration are shaped by functional diversity of stem cells across skeletal sites.Cell stem cell · 2025Article
- Insights into the single-cell transcriptome characteristics of porcine endometrium with embryo loss.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Article
- Using weighted gene co-expression network analysis to identify key genes related to preeclampsia.Frontiers in immunology · 2025Article
- Myeloid-derived β-hexosaminidase is essential for neuronal health and lysosome function: implications for Sandhoff disease.bioRxiv : the preprint server for biology · 2024Article
- Tissue-resident macrophages specifically express Lactotransferrin and Vegfc during ear pinna regeneration in spiny mice.Developmental cell · 2024Article
- Cholesterol lowering depletes atherosclerotic lesions of smooth muscle cell-derived fibromyocytes and chondromyocytes.Nature cardiovascular research · 2024Article
- Macrophage Polarizations in the Placenta and Lung are Associated with Bronchopulmonary Dysplasia.bioRxiv : the preprint server for biology · 2024Article
- Microglia and Systemic Immunity.Advances in neurobiology · 2024Review
- Rescue of Alzheimer's disease phenotype in a mouse model by transplantation of wild-type hematopoietic stem and progenitor cells.Cell reports · 2023Article
- Gene knockout inference with variational graph autoencoder learning single-cell gene regulatory networks.Nucleic acids research · 2023Article
- Boolean implication analysis of single-cell data predicts retinal cell type markers.BMC bioinformatics · 2022Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Macrophages engulf and digest microbes, cellular debris, and various disease-associated cells throughout the body. Understanding the dynamics of macrophage gene expression is crucial for studying human diseases. As both bulk RNAseq and single cell RNAseq datasets become more numerous and complex, identifying a universal and reliable marker of macrophage cell becomes paramount. Traditional approaches have relied upon tissue specific expression patterns. To identify universal biomarkers of macrophage, we used a previously published computational approach called BECC (Boolean Equivalent Correlated Clusters) that was originally used to identify conserved cell cycle genes. We performed BECC analysis using the known macrophage marker CD14 as a seed gene. The main idea behind BECC is that it uses massive database of public gene expression dataset to establish robust co-expression patterns identified using a combination of correlation, linear regression and Boolean equivalences. Our analysis identified and validated FCER1G and TYROBP as novel universal biomarkers for macrophages in human and mouse tissues.
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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.