The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Expression analysis of G Protein-Coupled Receptors in mouse macrophages
Open accessAbstract
BACKGROUND: Monocytes and macrophages express an extensive repertoire of G Protein-Coupled Receptors (GPCRs) that regulate inflammation and immunity. In this study we performed a systematic micro-array analysis of GPCR expression in primary mouse macrophages to identify family members that are either enriched in macrophages compared to a panel of other cell types, or are regulated by an inflammatory stimulus, the bacterial product lipopolysaccharide (LPS). RESULTS: Several members of the P2RY family had striking expression patterns in macrophages; P2ry6 mRNA was essentially expressed in a macrophage-specific fashion, whilst P2ry1 and P2ry5 mRNA levels were strongly down-regulated by LPS. Expression of several other GPCRs was either restricted to macrophages (e.g. Gpr84) or to both macrophages and neural tissues (e.g. P2ry12, Gpr85). The GPCR repertoire expressed by bone marrow-derived macrophages and thioglycollate-elicited peritoneal macrophages had some commonality, but there were also several GPCRs preferentially expressed by either cell population. CONCLUSION: The constitutive or regulated expression in macrophages of several GPCRs identified in this study has not previously been described. Future studies on such GPCRs and their agonists are likely to provide important insights into macrophage biology, as well as novel inflammatory pathways that could be future targets for drug discovery.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A gene atlas of the mouse and human protein-encoding transcriptomes
Su, A. I., Wiltshire, T., Batalov, S., Lapp, H., Ching, K. A., Block, D., Zhang, J., Soden, R., Hayakawa, M., Kreiman, G., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0400782101 · Cited by 3,475
Self-citationHanley, P. J., Musset, B., Renigunta, V., Limberg, S. H., Dalpke, A. H., Sus, R., Heeg, K. M., Preisig-Müller, R., & Daut, J. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0400733101 · Cited by 168
Mandal, P., Novotny, M., & Hamilton, T. A. (2005) · The Journal of Immunology · doi:10.4049/jimmunol.175.9.6085 · Cited by 45
Cited by
Orecchioni, M., Ghosheh, Y., Pramod, A. B., & Ley, K. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01084 · Cited by 2,063
MitoCarta2.0: an updated inventory of mammalian mitochondrial proteins
Calvo, S. E., Clauser, K. R., & Mootha, V. K. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1003 · Cited by 1,251
Molecular Maps of the Reorganization of Genome-Nuclear Lamina Interactions during Differentiation
Peric-Hupkes, D., Meuleman, W., Pagie, L., Bruggeman, S. W. M., Solovei, I., Brugman, W., Gräf, S., Flicek, P., Kerkhoven, R. M., van Lohuizen, M., et al. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.03.016 · Cited by 1,050
Schroder, K., Irvine, K. M., Taylor, M. S., Bokil, N. J., Le Cao, K.-A., Masterman, K.-A., Labzin, L. I., Semple, C. A., Kapetanovic, R., Fairbairn, L., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110156109 · Cited by 308
Self-citationRNA sequencing reveals two major classes of gene expression levels in metazoan cells
Hebenstreit, D., Fang, M., Gu, M., Charoensawan, V., van Oudenaarden, A., & Teichmann, S. A. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.28 · Cited by 289
Metadata
- Authors
- Lattin, J. E., Schroder, K., Su, A. I., Walker, J. R., Zhang, J., Wiltshire, T., Saijo, K., Glass, C. K., Hume, D. A., Kellie, S., & Sweet, M. J.
- Venue
- Immunome Research
- Published
- 2008
- Volume
- 4
- Issue
- 1
- Pages
- 5
- ISSN
- 1745-7580 (ISSN-L)
- OpenAlex
- W2122935607
- Cited by
- 438
- References
- 3
- FWCI
- 12.83
- Type
- journal article
- Language
- en
- Open access
- hybrid
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.