Expression of functional<scp>TRPV</scp>1 receptor in primary culture of canine keratinocytes is a research paper published in Journal of Veterinary Pharmacology and Therapeutics (2018). On theSindex it has a DataRank of 0.456. It has been cited 10 times, with 6 citing works in its 1-hop citation network.
AbstractThe interest for the endovanilloid system and for transient receptor potential vanilloid 1 (TRPV1) is continuously increasing, due to their involvement in inflammation, nociception and pruritus. Even ifTRPV1 enrolment was highlighted in both physiological and pathological conditions, some aspects remain unclear, mostly in veterinary medicine. This study aimed to verify the expression and functionality ofTRPV1 in canine keratinocytes to investigate in vitro the role ofTRPV1 in these cells that are involved in different cutaneous pathologies. Keratinocytes primary cultures were isolated from bioptical samples and cultivated. Binding assay (using3[H]‐resiniferatoxin), displacement assay (in the presence of 1.2 nM3[H]‐resiniferatoxin) and functional assays (in the presence of 1 μCi/45Ca2+) with vanilloid agonists and antagonists, specifically addressed toTRPV1 receptor, were performed. Binding assay demonstrated the presence of measurable concentrations ofTRPV1 (Bmax = 1,240 ± 120 fmol/mg protein;Kd = 0.01 ± 0.004 nM). Displacement assay highlighted the highest affinity for resiniferatoxin (RTX) and 5‐iodo‐resiniferatoxin (5‐I‐RTX), among agonists and antagonists, respectively. The same compounds results as the most potent in the functional assays. This study demonstrated the identification and the characterization ofTRPV1 receptor in primary canine keratinocytes cultures. The results are promising for a clinical use, but further in vivo investigations are required.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.360
From this paper's citation signal
Citation Network Contribution
0.0960
From 4 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 79% comes from its base citations and 21% from the citation network (4 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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