G protein coupled receptor transcripts in human immune cells and platelets
G-protein coupled receptors (GPCRs) are encoded by nonabundant mRNAs, and it is difficult to detect them reliably with the highly parallel methods that are in general use. Because of this, we developed and validated a sensitive, specific, semi-quantitative method for detecting these transcripts. We have used the method to profile GPCR transcripts in white blood cells (WBCs)-B, CD4, CD8, NK, and dendritic cells; monocytes, and macrophage-like monocytes treated with granulocyte-macrophage colony-stimulating factor-as well as platelets. On average, the white cells studied expressed 160 receptor mRNAs (range, 123-206). Platelets made 69. Some, but far from all, of the receptors we found have been detected earlier. We believe our data should stimulate studies of receptor function and contribute to drug development.
Authors
- Elena Martinelli (ORCID: https://orcid.org/0000-0002-3416-9627)
- Daniel Martı́n (ORCID: https://orcid.org/0000-0002-8880-9087)
- John H. Kehrl (ORCID: https://orcid.org/0000-0002-6526-159X)
- Éva Mezey (ORCID: https://orcid.org/0000-0002-5907-4691)
- Claudia Cicala (ORCID: https://orcid.org/0000-0002-1181-8997)
- Kathleen A. Harrison (ORCID: https://orcid.org/0000-0003-0080-567X)
- Arne Hansen (ORCID: https://orcid.org/0000-0003-2628-0453)
- Michael Brownstein
- Florian Länger
Institutions
- Northwestern University (US)
- National Institutes of Health (US)
- Universität Hamburg (DE)
- University Medical Center Hamburg-Eppendorf (DE)
- German Centre for Cardiovascular Research (DE)
- National Institute of Allergy and Infectious Diseases (US)
- Azevan Pharmaceuticals (United States) (US)
Publication Details
- Journal
- Scientific Data
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1038/s41597-024-03880-2
- Citations
- 2
- Primary Topic
- Immune Cell Function and Interaction
- Type
- article
- Field-Weighted Citation Impact
- 0.48
Funders
- National Institutes of Health
- National Institute of Dental and Craniofacial Research