Multi-modal single-cell sequencing reveals network transition in circulating monocytes that aligns with faster recovery in patients with trauma and favours a response to M-CSF

Tianmeng Chen, Julia Hughes, Julia Cornoy, Wei Chen, Richard Duerr, Timothy Billiar

Open source

DOI
10.1016/j.ebiom.2026.106368
Published
2026-08
Container
eBioMedicine
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.ebiom.2026.106368,
  title = {Multi-modal single-cell sequencing reveals network transition in circulating monocytes that aligns with faster recovery in patients with trauma and favours a response to M-CSF},
  author = {Tianmeng Chen and Julia Hughes and Julia Cornoy and Wei Chen and Richard Duerr and Timothy Billiar},
  year = {2026},
  journal = {eBioMedicine},
  doi = {10.1016/j.ebiom.2026.106368},
  url = {https://doi.org/10.1016/j.ebiom.2026.106368}
}

RIS

TY  - JOUR
TI  - Multi-modal single-cell sequencing reveals network transition in circulating monocytes that aligns with faster recovery in patients with trauma and favours a response to M-CSF
AU  - Tianmeng Chen
AU  - Julia Hughes
AU  - Julia Cornoy
AU  - Wei Chen
AU  - Richard Duerr
AU  - Timothy Billiar
PY  - 2026
JO  - eBioMedicine
DO  - 10.1016/j.ebiom.2026.106368
UR  - https://doi.org/10.1016/j.ebiom.2026.106368
ER  - 

APA

Chen, T., Hughes, J., Cornoy, J., Chen, W., Duerr, R., & Billiar, T. (2026). Multi-modal single-cell sequencing reveals network transition in circulating monocytes that aligns with faster recovery in patients with trauma and favours a response to M-CSF. eBioMedicine. https://doi.org/10.1016/j.ebiom.2026.106368

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