The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Discovery of a Cytokine and Its Receptor by Functional Screening of the Extracellular Proteome
Abstract
To understand the system of secreted proteins and receptors involved in cell-cell signaling, we produced a comprehensive set of recombinant secreted proteins and the extracellular domains of transmembrane proteins, which constitute most of the protein components of the extracellular space. Each protein was tested in a suite of assays that measured metabolic, growth, or transcriptional responses in diverse cell types. The pattern of responses across assays was analyzed for the degree of functional selectivity of each protein. One of the highly selective proteins was a previously undescribed ligand, designated interleukin-34 (IL-34), which stimulates monocyte viability but does not affect responses in a wide spectrum of other assays. In a separate functional screen, we used a collection of extracellular domains of transmembrane proteins to discover the receptor for IL-34, which was a known cytokine receptor, colony-stimulating factor 1 (also called macrophage colony-stimulating factor) receptor. This systematic approach is thus useful for discovering new ligands and receptors and assessing the functional selectivity of extracellular regulatory proteins.
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Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
FGF-21 as a novel metabolic regulator
Kharitonenkov, A., Shiyanova, T. L., Koester, A., Ford, A. M., Micanovic, R., Galbreath, E. J., Sandusky, G. E., Hammond, L. J., Moyers, J. S., Owens, R. A., et al. (2005) · Journal of Clinical Investigation · doi:10.1172/jci23606 · Cited by 2,125
Dai, X.-M., Ryan, G. R., Hapel, A. J., Dominguez, M. G., Russell, R. G., Kapp, S., Sylvestre, V., & Stanley, E. R. (2002) · Blood · doi:10.1182/blood.v99.1.111 · Cited by 1,184
The biology of interleukin-2 and interleukin-15: implications for cancer therapy and vaccine design
Waldmann, T. A. (2006) · Nature Reviews Immunology · doi:10.1038/nri1901 · Cited by 1,178
Anderson, N. L., Polanski, M., Pieper, R., Gatlin, T., Tirumalai, R. S., Conrads, T. P., Veenstra, T. D., Adkins, J. N., Pounds, J. G., Fagan, R., et al. (2004) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m300127-mcp200 · Cited by 1,006
Angiogenic and cell survival functions of Vascular Endothelial Growth Factor (VEGF)
Byrne, A. M., Bouchier-Hayes, D. J., & Harmey, J. H. (2005) · Journal of Cellular and Molecular Medicine · doi:10.1111/j.1582-4934.2005.tb00379.x · Cited by 744
Colony-stimulating factor-1 in immunity and inflammation
Chitu, V., & Stanley, E. R. (2006) · Current Opinion in Immunology · doi:10.1016/j.coi.2005.11.006 · Cited by 635
Tomlinson, E., Fu, L., John, L., Hultgren, B., Huang, X., Renz, M., Stephan, J. P., Tsai, S. P., Powell-Braxton, L., French, D., et al. (2002) · Endocrinology · doi:10.1210/endo.143.5.8850 · Cited by 576
FGF-19, A NOVEL FIBROBLAST GROWTH FACTOR WITH UNIQUE SPECIFICITY FOR FGFR4
Xie, M.-H., Holcomb, I., Deuel, B., Dowd, P., Huang, A., Vagts, A., Foster, J., Liang, J., Brush, J., Gu, Q., et al. (1999) · Cytokine · doi:10.1006/cyto.1999.0485 · Cited by 301
Conway, J. G., McDonald, B., Parham, J., Keith, B., Rusnak, D. W., Shaw, E., Jansen, M., Lin, P., Payne, A., Crosby, R. M., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0502000102 · Cited by 247
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Fate Mapping Analysis Reveals That Adult Microglia Derive from Primitive Macrophages
Ginhoux, F., Greter, M., Leboeuf, M., Nandi, S., See, P., Gokhan, S., Mehler, M. F., Conway, S. J., Ng, L. G., Stanley, E. R., et al. (2010) · Science · doi:10.1126/science.1194637 · Cited by 5,175
Development of Monocytes, Macrophages, and Dendritic Cells
Geissmann, F., Manz, M. G., Jung, S., Sieweke, M. H., Merad, M., & Ley, K. (2010) · Science · doi:10.1126/science.1178331 · Cited by 3,049
Microglia Function in the Central Nervous System During Health and Neurodegeneration
Colonna, M., & Butovsky, O. (2017) · Annual Review of Immunology · doi:10.1146/annurev-immunol-051116-052358 · Cited by 2,894
CSF-1R inhibition alters macrophage polarization and blocks glioma progression
Pyonteck, S. M., Akkari, L., Schuhmacher, A. J., Bowman, R. L., Sevenich, L., Quail, D. F., Olson, O. C., Quick, M. L., Huse, J. T., Teijeiro, V., et al. (2013) · Nature Medicine · doi:10.1038/nm.3337 · Cited by 2,463
Merad, M., Sathe, P., Helft, J., Miller, J., & Mortha, A. (2013) · Annual Review of Immunology · doi:10.1146/annurev-immunol-020711-074950 · Cited by 2,309
Metadata
- Authors
- Lin, H., Lee, E., Hestir, K., Leo, C., Huang, M., Bosch, E., Halenbeck, R., Wu, G., Zhou, A., Behrens, D., Hollenbaugh, D., Linnemann, T., Qin, M., Wong, J., Chu, K., Doberstein, S. K., & Williams, L. T.
- Venue
- Science
- Published
- 2008-05-09
- Volume
- 320
- Issue
- 5877
- Pages
- 807-811
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2065036402
- Cited by
- 817
- References
- 10
- FWCI
- 14.17
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Discovery of a Cytokine and Its Receptor by Functional Screening of the Extracellular Proteome. https://app.cochat.ai/papers/10.1126/science.1154370
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- Lin, H., Lee, E., Hestir, K., Leo, C., Huang, M., Bosch, E., Halenbeck, R., Wu, G., Zhou, A., Behrens, D., Hollenbaugh, D., Linnemann, T., Qin, M., Wong, J., Chu, K., Doberstein, S. K., & Williams, L. T. (2008). Discovery of a Cytokine and Its Receptor by Functional Screening of the Extracellular Proteome. Science. https://doi.org/10.1126/science.1154370
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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