The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Defining the emergence of myeloid-derived suppressor cells in breast cancer using single-cell transcriptomics
Open accessAbstract
Alshetaiwi et al. identify CD84 to be a robust MSDC-specific cell surface marker in breast cancers.
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Cites
Integrating single-cell transcriptomic data across different conditions, technologies, and species
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Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool
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Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment
Azizi, E., Carr, A. J., Plitas, G., Cornish, A. E., Konopacki, C., Prabhakaran, S., Nainys, J., Wu, K., Kiseliovas, V., Setty, M., et al. (2018) · Cell · doi:10.1016/j.cell.2018.05.060 · Cited by 1,976
Cited by
Myeloid-derived suppressor cells in the era of increasing myeloid cell diversity
Veglia, F., Sanseviero, E., & Gabrilovich, D. I. (2021) · Nature Reviews Immunology · doi:10.1038/s41577-020-00490-y · Cited by 1,940
Fecal microbiota transplant overcomes resistance to anti–PD-1 therapy in melanoma patients
Davar, D., Dzutsev, A. K., McCulloch, J. A., Rodrigues, R. R., Chauvin, J.-M., Morrison, R. M., Deblasio, R. N., Menna, C., Ding, Q., Pagliano, O., et al. (2021) · Science · doi:10.1126/science.abf3363 · Cited by 1,781
Myeloid-derived suppressor cells as immunosuppressive regulators and therapeutic targets in cancer
Li, K., Shi, H., Zhang, B., Ou, X., Ma, Q., Chen, Y., Shu, P., Li, D., & Wang, Y. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00670-9 · Cited by 988
Myeloid-derived suppressor cells in cancer and cancer therapy
Lasser, S. A., Ozbay Kurt, F. G., Arkhypov, I., Utikal, J., & Umansky, V. (2024) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-023-00846-y · Cited by 489
Deterministic reprogramming of neutrophils within tumors
Ng, M. S. F., Kwok, I., Tan, L., Shi, C., Cerezo-Wallis, D., Tan, Y., Leong, K., Calvo, G. F., Yang, K., Zhang, Y., et al. (2024) · Science · doi:10.1126/science.adf6493 · Cited by 389
Metadata
- Authors
- Alshetaiwi, H., Pervolarakis, N., McIntyre, L. L., Ma, D., Nguyen, Q., Rath, J. A., Nee, K., Hernandez, G., Evans, K., Torosian, L., Silva, A., Walsh, C., & Kessenbrock, K.
- Venue
- Science Immunology
- Published
- 2020-02-14
- Volume
- 5
- Issue
- 44
- ISSN
- 2470-9468 (ISSN-L)
- OpenAlex
- W3007604420
- Cited by
- 537
- References
- 55
- FWCI
- 19.80
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Defining the emergence of myeloid-derived suppressor cells in breast cancer using single-cell transcriptomics. https://app.cochat.ai/papers/10.1126/sciimmunol.aay6017
- The paper
- Alshetaiwi, H., Pervolarakis, N., McIntyre, L. L., Ma, D., Nguyen, Q., Rath, J. A., Nee, K., Hernandez, G., Evans, K., Torosian, L., Silva, A., Walsh, C., & Kessenbrock, K. (2020). Defining the emergence of myeloid-derived suppressor cells in breast cancer using single-cell transcriptomics. Science Immunology. https://doi.org/10.1126/sciimmunol.aay6017
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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.
