A mathematical framework for human neutrophil state transitions inferred from single-cell RNA sequence data.

Wigerblad G, Carruthers J, Ray S, Finnie T, Lythe G, Pyne S, Molina-París C, Kaplan MJ

DOI: 10.3389/fimmu.2025.1654015
Published: 2025
Container: Frontiers in immunology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fimmu.2025.1654015,
  title = {A mathematical framework for human neutrophil state transitions inferred from single-cell RNA sequence data.},
  author = {Wigerblad G and Carruthers J and Ray S and Finnie T and Lythe G and Pyne S and Molina-París C and Kaplan MJ},
  year = {2025},
  journal = {Frontiers in immunology},
  doi = {10.3389/fimmu.2025.1654015},
  url = {https://doi.org/10.3389/fimmu.2025.1654015}
}

RIS

TY  - JOUR
TI  - A mathematical framework for human neutrophil state transitions inferred from single-cell RNA sequence data.
AU  - Wigerblad G
AU  - Carruthers J
AU  - Ray S
AU  - Finnie T
AU  - Lythe G
AU  - Pyne S
AU  - Molina-París C
AU  - Kaplan MJ
PY  - 2025
JO  - Frontiers in immunology
DO  - 10.3389/fimmu.2025.1654015
UR  - https://doi.org/10.3389/fimmu.2025.1654015
ER  -

APA

G, W., J, C., S, R., T, F., G, L., S, P., C, M., & MJ, K. (2025). A mathematical framework for human neutrophil state transitions inferred from single-cell RNA sequence data.. Frontiers in immunology. https://doi.org/10.3389/fimmu.2025.1654015

Source records

pubmed · retrieved 2026-11-10T20:56:33.120Z