The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
Deterministic reprogramming of neutrophils within tumors
Open accessAbstract
Neutrophils are increasingly recognized as key players in the tumor immune response and are associated with poor clinical outcomes. Despite recent advances characterizing the diversity of neutrophil states in cancer, common trajectories and mechanisms governing the ontogeny and relationship between these neutrophil states remain undefined. Here, we demonstrate that immature and mature neutrophils that enter tumors undergo irreversible epigenetic, transcriptional, and proteomic modifications to converge into a distinct, terminally differentiated dcTRAIL-R1 + state. Reprogrammed dcTRAIL-R1 + neutrophils predominantly localize to a glycolytic and hypoxic niche at the tumor core and exert pro-angiogenic function that favors tumor growth. We found similar trajectories in neutrophils across multiple tumor types and in humans, suggesting that targeting this program may provide a means of enhancing certain cancer immunotherapies.
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
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889
Integrated analysis of multimodal single-cell data
Hao, Y., Hao, S., Andersen-Nissen, E., Mauck, W. M., Zheng, S., Butler, A., Lee, M. J., Wilk, A. J., Darby, C., Zagar, M., et al. (2020) · doi:10.1101/2020.10.12.335331 · Cited by 15,508
Heinz, S., Benner, C., Spann, N., Bertolino, E., Lin, Y. C., Laslo, P., Cheng, J. X., Murre, C., Singh, H., & Glass, C. K. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.05.004 · Cited by 13,382
Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool
Chen, E. Y., Tan, C. M., Kou, Y., Duan, Q., Wang, Z., Meirelles, G. V., Clark, N. R., & Ma’ayan, A. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-128 · Cited by 7,814
Software for Computing and Annotating Genomic Ranges
Lawrence, M., Huber, W., Pagès, H., Aboyoun, P., Carlson, M., Gentleman, R., Morgan, M. T., & Carey, V. J. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003118 · Cited by 4,398
La Manno, G., Soldatov, R., Zeisel, A., Braun, E., Hochgerner, H., Petukhov, V., Lidschreiber, K., Kastriti, M. E., Lönnerberg, P., Furlan, A., et al. (2018) · Nature · doi:10.1038/s41586-018-0414-6 · Cited by 4,118
Self-citationdeepTools: a flexible platform for exploring deep-sequencing data
Ramírez, F., Dündar, F., Diehl, S., Grüning, B. A., & Manke, T. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku365 · Cited by 3,738
Liu, J., Lichtenberg, T., Hoadley, K. A., Poisson, L. M., Lazar, A. J., Cherniack, A. D., Kovatich, A. J., Benz, C. C., Levine, D. A., Lee, A. V., et al. (2018) · Cell · doi:10.1016/j.cell.2018.02.052 · Cited by 3,725
Self-citation
Cited by
Neutrophil profiling illuminates anti-tumor antigen-presenting potency
Wu, Y., Ma, J., Yang, X., Nan, F., Zhang, T., Ji, S., Rao, D., Feng, H., Gao, K., Gu, X., et al. (2024) · Cell · doi:10.1016/j.cell.2024.02.005 · Cited by 435
Metadata
- Authors
- Ng, M. S. F., Kwok, I., Tan, L., Shi, C., Cerezo-Wallis, D., Tan, Y., Leong, K., Calvo, G. F., Yang, K., Zhang, Y., Jin, J., Liong, K. H., Wu, D., He, R., Liu, D., Teh, Y. C., Bleriot, C., Caronni, N., Liu, Z., Duan, K., Narang, V., Ballesteros, I., Moalli, F., Li, M., Chen, J., Liu, Y., Liu, L., Qi, J., Liu, Y., Jiang, L., Shen, B., Cheng, H., Cheng, T., Angeli, V., Sharma, A., Loh, Y.-H., Tey, H. L., Chong, S. Z., Iannacone, M., Ostuni, R., Hidalgo, A., Ginhoux, F., & Ng, L. G.
- Venue
- Science
- Published
- 2024-01-12
- Volume
- 383
- Issue
- 6679
- Pages
- eadf6493-eadf6493
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W4390734484
- Cited by
- 389
- References
- 81
- FWCI
- 53.34
- Type
- journal article
- Language
- en
- Open access
- green
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: Deterministic reprogramming of neutrophils within tumors. https://app.cochat.ai/papers/10.1126/science.adf6493
- The paper
- Ng, M. S. F., Kwok, I., Tan, L., Shi, C., Cerezo-Wallis, D., Tan, Y., Leong, K., Calvo, G. F., Yang, K., Zhang, Y., Jin, J., Liong, K. H., Wu, D., He, R., Liu, D., Teh, Y. C., Bleriot, C., Caronni, N., Liu, Z., . . . Ng, L. G. (2024). Deterministic reprogramming of neutrophils within tumors. Science. https://doi.org/10.1126/science.adf6493
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.
