Integrative transcriptomic and bioinformatic analyses predict candidate EMT-related genes in sepsis-associated acute lung injury.

Liu J, Chen Y, Peng H, Xu Z, Wang Y, Zhang L, Wang H

DOI: 10.1007/s00210-026-05522-3
Published: 2026 Sep
Container: Naunyn-Schmiedeberg's archives of pharmacology
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1007/s00210-026-05522-3,
  title = {Integrative transcriptomic and bioinformatic analyses predict candidate EMT-related genes in sepsis-associated acute lung injury.},
  author = {Liu J and Chen Y and Peng H and Xu Z and Wang Y and Zhang L and Wang H},
  year = {2026},
  journal = {Naunyn-Schmiedeberg's archives of pharmacology},
  doi = {10.1007/s00210-026-05522-3},
  url = {https://doi.org/10.1007/s00210-026-05522-3}
}

RIS

TY  - JOUR
TI  - Integrative transcriptomic and bioinformatic analyses predict candidate EMT-related genes in sepsis-associated acute lung injury.
AU  - Liu J
AU  - Chen Y
AU  - Peng H
AU  - Xu Z
AU  - Wang Y
AU  - Zhang L
AU  - Wang H
PY  - 2026
JO  - Naunyn-Schmiedeberg's archives of pharmacology
DO  - 10.1007/s00210-026-05522-3
UR  - https://doi.org/10.1007/s00210-026-05522-3
ER  -

APA

J, L., Y, C., H, P., Z, X., Y, W., L, Z., & H, W. (2026). Integrative transcriptomic and bioinformatic analyses predict candidate EMT-related genes in sepsis-associated acute lung injury.. Naunyn-Schmiedeberg's archives of pharmacology. https://doi.org/10.1007/s00210-026-05522-3

Source records

pubmed · retrieved 2026-09-25T13:11:51.213Z
europe-pmc · retrieved 2026-09-25T13:11:51.218Z