The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
The CD47-SIRPα Immune Checkpoint
Open accessAbstract
The cytotoxic activity of myeloid cells is regulated by a balance of signals that are transmitted through inhibitory and activating receptors. The Cluster of Differentiation 47 (CD47) protein, expressed on both healthy and cancer cells, plays a pivotal role in this balance by delivering a “don’t eat me signal” upon binding to the Signal-regulatory protein alpha (SIRPα) receptor on myeloid cells. In this Perspective, we describe the current state of knowledge on the role of the CD47-SIRPα axis in physiological tissue homeostasis and as a promising therapeutic target in, amongst others, oncology, fibrotic diseases, atherosclerosis and stem cell therapies. In addition, we highlight where additional insight will be beneficial to allow optimal exploitation of this myeloid cell checkpoint as a target in human disease.
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
Synaptic Pruning by Microglia Is Necessary for Normal Brain Development
Paolicelli, R. C., Bolasco, G., Pagani, F., Maggi, L., Scianni, M., Panzanelli, P., Giustetto, M., Ferreira, T. A., Guiducci, E., Dumas, L., et al. (2011) · Science · doi:10.1126/science.1202529 · Cited by 4,244
Microglia Sculpt Postnatal Neural Circuits in an Activity and Complement-Dependent Manner
Schafer, D. P., Lehrman, E. K., Kautzman, A. G., Koyama, R., Mardinly, A. R., Yamasaki, R., Ransohoff, R. M., Greenberg, M. E., Barres, B. A., & Stevens, B. (2012) · Neuron · doi:10.1016/j.neuron.2012.03.026 · Cited by 4,089 · cited 4×
“C1q or C3 localization to neuronal synapses enhances microglia-dependent synaptic pruning by binding Mac-1 (Schafer et al. 2012; Stevens et al. 2007).”
BackgroundInfluentialPD-1 expression by tumour-associated macrophages inhibits phagocytosis and tumour immunity
Gordon, S. R., Maute, R. L., Dulken, B. W., Hutter, G., George, B. M., McCracken, M. N., Gupta, R., Tsai, J. M., Sinha, R., Corey, D., et al. (2017) · Nature · doi:10.1038/nature22396 · Cited by 2,247
Majeti, R., Chao, M. P., Alizadeh, A. A., Pang, W. W., Jaiswal, S., Gibbs, K. D., van Rooijen, N., & Weissman, I. L. (2009) · Cell · doi:10.1016/j.cell.2009.05.045 · Cited by 1,752
MYC regulates the antitumor immune response through CD47 and PD-L1
Casey, S. C., Tong, L., Li, Y., Do, R., Walz, S., Fitzgerald, K. N., Gouw, A. M., Baylot, V., Gütgemann, I., Eilers, M., et al. (2016) · Science · doi:10.1126/science.aac9935 · Cited by 1,403
In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy target
Manguso, R. T., Pope, H. W., Zimmer, M. D., Brown, F. D., Yates, K. B., Miller, B. C., Collins, N. B., Bi, K., LaFleur, M. W., Juneja, V. R., et al. (2017) · Nature · doi:10.1038/nature23270 · Cited by 1,147
A novel pathway combining calreticulin exposure and ATP secretion in immunogenic cancer cell death
Garg, A. D., Krysko, D. V., Verfaillie, T., Kaczmarek, A., Ferreira, G. B., Marysael, T., Rubio, N., Firczuk, M., Mathieu, C., Roebroek, A. J. M., et al. (2012) · The EMBO Journal · doi:10.1038/emboj.2011.497 · Cited by 800
Chao, M. P., Jaiswal, S., Weissman-Tsukamoto, R., Alizadeh, A. A., Gentles, A. J., Volkmer, J., Weiskopf, K., Willingham, S. B., Raveh, T., Park, C. Y., et al. (2010) · Science Translational Medicine · doi:10.1126/scitranslmed.3001375 · Cited by 776
Deuse, T., Hu, X., Gravina, A., Wang, D., Tediashvili, G., De, C., Thayer, W. O., Wahl, A., Garcia, J. V., Reichenspurner, H., et al. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0016-3 · Cited by 758
CD47-blocking antibodies restore phagocytosis and prevent atherosclerosis
Kojima, Y., Volkmer, J.-P., McKenna, K., Civelek, M., Lusis, A. J., Miller, C. L., Direnzo, D., Nanda, V., Ye, J., Connolly, A. J., et al. (2016) · Nature · doi:10.1038/nature18935 · Cited by 683
Cited by
Immune checkpoint therapy—current perspectives and future directions
Sharma, P., Goswami, S., Raychaudhuri, D., Siddiqui, B. A., Singh, P., Nagarajan, A., Liu, J., Subudhi, S. K., Poon, C., Gant, K. L., et al. (2023) · Cell · doi:10.1016/j.cell.2023.03.006 · Cited by 1,206
B cell depletion therapies in autoimmune disease: advances and mechanistic insights
Lee, D. S. W., Rojas, O. L., & Gommerman, J. L. (2021) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-00092-2 · Cited by 658
Immune checkpoint therapy for solid tumours: clinical dilemmas and future trends
Sun, Q., Hong, Z., Zhang, C., Wang, L., Han, Z., & Ma, D. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01522-4 · Cited by 598
Patient-derived xenograft models in cancer therapy: technologies and applications
Liu, Y., Wu, W., Cai, C., Zhang, H., Shen, H., & Han, Y. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01419-2 · Cited by 494
Emerging new therapeutic antibody derivatives for cancer treatment
Jin, S., Sun, Y., Liang, X., Gu, X., Ning, J., Xu, Y., Chen, S., & Pan, L. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00868-x · Cited by 459
Metadata
- Authors
- Logtenberg, M. E. W., Scheeren, F. A., & Schumacher, T. N.
- Venue
- Immunity
- Publisher
- Elsevier BV
- Published
- 2020-05
- Volume
- 52
- Issue
- 5
- Pages
- 742-752
- ISSN
- 1074-7613 (ISSN-L)
- OpenAlex
- W3026660164
- Cited by
- 735
- References
- 16
- FWCI
- 20.09
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The CD47-SIRPα Immune Checkpoint. https://app.cochat.ai/papers/10.1016/j.immuni.2020.04.011
- The paper
- Logtenberg, M. E. W., Scheeren, F. A., & Schumacher, T. N. (2020). The CD47-SIRPα Immune Checkpoint. Immunity. https://doi.org/10.1016/j.immuni.2020.04.011
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.
