ArticleMolecular biology and evolution2017
Antagonistic Coevolution of MER Tyrosine Kinase Expression and Function.
Article in Molecular biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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
11 citing papers in PubMed, 18 citations in OpenAlex.
- MERTK coordinates efferocytosis by regulating integrin localization and activation.Journal of cell science · 2026Article
- Anti-Inflammatory Lipid Mediators from Polyunsaturated Fatty Acids: Insights into their Role in Atherosclerosis Microenvironments.Current atherosclerosis reports · 2025Review
- Mechanism of efferocytosis in atherosclerosis.Journal of molecular medicine (Berlin, Germany) · 2024Review
- SARS-CoV-2 NSP5 antagonizes MHC II expression by subverting histone deacetylase 2.Journal of cell science · 2024Article
- Gegen Qinlian Decoction Modulates Atherosclerosis and Lipid Metabolism Through Cellular Interplay and Signaling Pathways.Combinatorial chemistry & high throughput screening · 2024Article
- Defective efferocytosis of vascular cells in heart disease.Frontiers in cardiovascular medicine · 2022Review
- Role of Apoptotic Cell Clearance in Pneumonia and Inflammatory Lung Disease.Pathogens (Basel, Switzerland) · 2021Review
- Identification and Characterisation of cis-Regulatory Elements Upstream of the Human Receptor Tyrosine Kinase GeneBrain plasticity (Amsterdam, Netherlands) · 2021Article
- Illumination of Molecular Pathways in Multiple Sclerosis Lesions and the Immune Mechanism of Matrine Treatment in EAE, a Mouse Model of MS.Frontiers in immunology · 2021Article
- Potential Mechanisms and Effects of Efferocytosis in Atherosclerosis.Frontiers in endocrinology · 2020Review
- Quantification of Efferocytosis by Single-cell Fluorescence Microscopy.Journal of visualized experiments : JoVE · 2018Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
TYRO3, AXL, and MERTK (TAM) receptors are a family of receptor tyrosine kinases that maintain homeostasis through the clearance of apoptotic cells, and when defective, contribute to chronic inflammatory and autoimmune diseases such as atherosclerosis, multiple sclerosis, systemic lupus erythematosus, rheumatoid arthritis, and Crohn's disease. In addition, certain enveloped viruses utilize TAM receptors for immune evasion and entry into host cells, with several viruses preferentially hijacking MERTK for these purposes. Despite the biological importance of TAM receptors, little is understood of their recent evolution and its impact on their function. Using evolutionary analysis of primate TAM receptor sequences, we identified strong, recent positive selection in MERTK's signal peptide and transmembrane domain that was absent from TYRO3 and AXL. Reconstruction of hominid and primate ancestral MERTK sequences revealed three nonsynonymous single nucleotide polymorphisms in the human MERTK signal peptide, with a G14C mutation resulting in a predicted non-B DNA cruciform motif, producing a significant decrease in MERTK expression with no significant effect on MERTK trafficking or half-life. Reconstruction of MERTK's transmembrane domain identified three amino acid substitutions and four amino acid insertions in humans, which led to significantly higher levels of self-clustering through the creation of a new interaction motif. This clustering counteracted the effect of the signal peptide mutations through enhancing MERTK avidity, whereas the lower MERTK expression led to reduced binding of Ebola virus-like particles. The decreased MERTK expression counterbalanced by increased avidity is consistent with antagonistic coevolution to evade viral hijacking of MERTK.
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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.