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Rules of engagement: Determinants of chemokine receptor activation and selectivity by CCL27 and CCL28
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Abstract
The distinct functional roles of chemokines CCL27 and CCL28 in epithelial immunity of skin and mucosal tissues, respectively, are coordinated by their shared receptor, CCR10, and the CCL28-specific receptor, CCR3. To identify determinants of receptor activation, internalization and binding specificity, we conducted structure-function studies focused on the N termini of these two chemokines. Deletion of two N-terminal residues of CCL27 resulted in a CCR10 antagonist, highlighting the critical roles of these residues in driving receptor pharmacology. Extension with a Phe produced a CCR10 superagonist by occupying a unique subpocket in the receptor. Swapping the CCL28 N terminus onto the CCL27 globular domain (NT28-CCL27) also resulted in a superagonist of CCR10, but the opposite swap (NT27-CCL28) showed equivalent or reduced activity compared to WT CCL28, indicating that the CCL28 N terminus is a stronger driver of CCR10 signaling. The effects of these mutations were rationalized by AlphaFold models of the CCR10 complexes. Modeling also revealed that the reduced size of the binding pocket, and more basic nature of the N terminus and extracellular loops of CCR3 compared to CCR10, contribute to its specificity for CCL28 while CCR10 accommodates both ligands. The basic nature of CCL28 also contributes to its high affinity for glycosaminoglycans and is likely important for its retention in mucosal tissues. These data illustrate how the modular nature of these chemokines enables their overlapping but nonredundant functions, and how this modularity can be exploited to produce engineered chemokines for probing or targeting CCR10 in disease.
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![Figure 2 Identification of N terminally modified CCL27 mutants that function as CCR10 antagonists.A, cell migration of WT CCL27 and N-terminal mutants with CCR10-expressing L1.2 cells at 50 nM (average concentration for maximal migration of WT CCL27); data shown are representative (mean ± SD) of three independent experiments performed in technical triplicates. Statistical analysis was performed by ordinary one-way ANOVA with post hoc Dunnett’s multiple comparisons test (∗∗∗∗p < 0.0001; ∗∗p < 0.01; CCL27: L2A, p = 0.0673). B, migration across a broad chemokine concentration range (0.1 nM to 1 μM), plotted as the percent of cells migrated relative to maximal migration (i.e., no filter). Shown are representative data (mean ± SD) of three independent experiments performed in technical triplicates. C, competition chemotaxis binding assay of CCL27 with the N-terminal truncation mutant [3-88]. WT CCL27 (50 nM) was incubated with increasing amounts of [3-88]-CCL27 and the percent cell migration was compared after a 2 h incubation period at 37 °C. Shown are representative data (mean ± SD) of three independent experiments performed in technical triplicates. D, structural model of WT CCL27 (teal ribbon and sticks) in complex with CCR10 (gray ribbon). The optimal ligand atom placement surface in the orthosteric pocket of the receptor is shown as a gray mesh. The complex is viewed along the plane of the membrane in the TM2-to-TM5 direction; TM2 is hidden for clarity. Receptor residues Tyr120(3.32) and Ser296(7.39) are shown in gray spheres. E, the model from (D) is viewed perpendicular to the plane of the membrane from the extracellular side; chemokine residues 1 to 3 are shown as ribbon and sticks; color represents per-atom RTCNN scores aggregated to residue backbones (for ribbons and backbone sticks); and side chains (for side chain sticks). F, RTCNN scores of N-terminal residues of CCL27 across the ensembles of AF2 and AF3 structural models of the CCR10–CCL27 complex. AF, AlphaFold; CCR, CC chemokine receptor; RTCNN, Radial and Topological Neural Network; TM, transmembrane.](/paper-figures/57d6a20e3f9643d7a571ad6360c2519a/rules-of-engagement-determinants-of-chemokine-receptor-activation-and-figure-2.jpg)



![Figure 6 GAG binding characterization of WT and mutant proteins.A, GAG binding characterization of CCL27, CCL28, CCL19, CCL21, and mutants by heparin sepharose chromatography. The concentration of NaCl (mM) required to elute protein from a heparin or a SP sepharose affinity column is reported as [NaCl]H and [NaCl]S, respectively. Δ[NaCl] values represent the difference in [NaCl] required to elute mutant versus WT protein (Δ[NaCl] = [NaCl]WT − [NaCl]mutant) from either heparin sepharose (Δ[NaCl]H) or SP-sepharose (Δ[NaCl]S). ΔΔ[NaCl] is a measure of the specificity of interaction, where ΔΔ[NaCl] = Δ[NaCl]H –Δ[NaCl]S. A positive specificity index for a mutant means that the difference between the amount of NaCl required to elute the mutant from the heparin-sepharose column as compared to WT was greater than the same difference for the SP-sepharose column, suggesting specificity for heparin beyond electrostatic interactions generally associated with affinity for SP-sepharose. All data represent the mean ± SD of three independent experiments. B, SPR sensorgrams of CCL27, CCL28, and [1-81]-CCL28 showing the resulting signals (relative response in RU) for interaction with immobilized HS with the same concentration of injected chemokine (1000 nM concentration). C, CCL27, CCL28 and [1-81]-CCL28 binding of CHO-K1 cells expressing endogenous HS. C terminally HA-tagged CCL27, CCL28, or [1-81]-CCL28 was used to determine the extent of chemokine binding to CHO-K1 cells. Cells were incubated with varying concentrations of HA-tagged chemokine for 30 min on ice, washed and the geometric mean fluorescence intensity (GMFI) detected by flow cytometry using an anti-HA antibody normalized to an isotype control. Data shown is the mean ± SEM from single measurements obtained for each concentration combined from independent experiments (n = 3–4). Statistical analysis was performed by mixed-effects analysis with post hoc Tukey’s multiple comparisons test. (∗∗∗∗p < 0.0001; ∗∗p < 0.01; ∗p < 0.05; CCL27-HA: CCL28-HA at 62.5 nM, p = 0.1915; CCL28-HA: [1-81]-CCL28-HA at 62.5 nM, p = 0.4916; CCL28-HA: [1-81]-CCL28-HA at 125 nM, p = 0.1659; CCL27-HA: CCL28-HA at 250 nM, p = 0.0798; CCL28-HA: [1-81]-CCL28-HA at 250 nM, p = 0.4024; CCL28-HA: [1-81]-CCL28-HA at 500 nM, p = 0.0812). BRET, bioluminescence resonance energy transfer; CCR, CC chemokine receptor; GAG, glycosaminoglycan; HS, heparan sulfate; SPR, surface plasmon resonance.](/paper-figures/d6e0703060a44f76b045735da693b700/rules-of-engagement-determinants-of-chemokine-receptor-activation-and-figure-6.jpg)
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Research works printed but not linked: 1
- Ballesteros, 1995, 10, S1043
Metadata
- Authors
- Huang, M., Celniker, A. F., Chitsazi, R., Dyer, D. P., Jansma, A. L., Kufareva, I., Salanga, C. L., & Handel, T. M.
- Affiliations
- University of California San Diego (US)
- Manchester Academic Health Science Centre (GB)
- Corresponding author
- Kufareva, Irina
- Salanga, Catherina L.
- Handel, Tracy M.
- ORCID
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2025-11
- Volume
- 301
- Issue
- 11
- Pages
- 110736
- ISSN
- 0021-9258 (ISSN-L)
- PMC
- PMC12556802
- OpenAlex
- W4414366111
- Cited by
- 1
- References
- 101
- Citations by year
- 2026: 1
- FWCI
- 0.41
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Biological Chemistry (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion, other-oa)
- PubMed Central (submittedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Funders
- National Institutes of Health (R01 GM136202)
- University of California San Diego
- Topics
- Health Sciences › Medicine › Oncology › Chemokine receptors and signaling
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
- Life Sciences › Immunology and Microbiology › Immunology › Cytokine Signaling Pathways and Interactions
- Keywords
- CCL27, CCL28, CCR10, CCR3, receptor activation, N-terminal residues, receptor internalization, binding specificity, glycosaminoglycan binding, epithelial immunity, mucosal immunity, structure functions
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.