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PreprintAll rights reservedbioRxiv

Engineered microvessel networks -- Longitudinal transcriptomic profiling validates chip-grown tissues as a robust model for studying vasculature

1 more authors
  1. 1King's College London

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BibTeX
@misc{osorio2026engineered,
  title = {{Engineered microvessel networks -- Longitudinal transcriptomic profiling validates chip-grown tissues as a robust model for studying vasculature}},
  author = {L. A. Osorio and B. Hansen and K. Suba and Y. Yuan and M. Witowska and X. Xu and M. Noman and S. A. Au and P. Pantazis and J. van Batenburg-Sherwood and B. Ahmetaj-Shala and I. Akerman and V. Salem},
  howpublished = {bioRxiv},
  year = {2026},
  month = nov,
  doi = {10.64898/2026.11.05.764625},
  url = {https://www.biorxiv.org/content/10.64898/2026.11.05.764625v1},
}
RIS
TY  - UNPB
TI  - Engineered microvessel networks -- Longitudinal transcriptomic profiling validates chip-grown tissues as a robust model for studying vasculature
AU  - L. A. Osorio
AU  - B. Hansen
AU  - K. Suba
AU  - Y. Yuan
AU  - M. Witowska
AU  - X. Xu
AU  - M. Noman
AU  - S. A. Au
AU  - P. Pantazis
AU  - J. van Batenburg-Sherwood
AU  - B. Ahmetaj-Shala
AU  - I. Akerman
AU  - V. Salem
PY  - 2026
DA  - 2026/11/05
PB  - bioRxiv
DO  - 10.64898/2026.11.05.764625
UR  - https://www.biorxiv.org/content/10.64898/2026.11.05.764625v1
ER  -