A systems-level integration of liver-kidney transcriptomics and genome-scale metabolic models reveals organ-specific injury mechanisms
- DOI
- 10.3389/ftox.2026.1866643
- Published
- 2026-07-06
- Container
- Frontiers in Toxicology
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/ftox.2026.1866643,
title = {A systems-level integration of liver-kidney transcriptomics and genome-scale metabolic models reveals organ-specific injury mechanisms},
author = {Venkat R. Pannala and Archana Hari and Scott S. Auerbach and Anders Wallqvist},
year = {2026},
journal = {Frontiers in Toxicology},
doi = {10.3389/ftox.2026.1866643},
url = {https://doi.org/10.3389/ftox.2026.1866643}
}RIS
TY - JOUR TI - A systems-level integration of liver-kidney transcriptomics and genome-scale metabolic models reveals organ-specific injury mechanisms AU - Venkat R. Pannala AU - Archana Hari AU - Scott S. Auerbach AU - Anders Wallqvist PY - 2026 JO - Frontiers in Toxicology DO - 10.3389/ftox.2026.1866643 UR - https://doi.org/10.3389/ftox.2026.1866643 ER -
APA
Pannala, V. R., Hari, A., Auerbach, S. S., & Wallqvist, A. (2026). A systems-level integration of liver-kidney transcriptomics and genome-scale metabolic models reveals organ-specific injury mechanisms. Frontiers in Toxicology. https://doi.org/10.3389/ftox.2026.1866643
Source records
- crossref · retrieved 2026-09-25T12:17:55.407Z