We introduce TransBrain, a computational framework for bidirectional translation of whole-brain phenotypes between humans and mice. TransBrain enables quantitative cross-species comparison in a unified latent space and facilitates functional modeling of the human brain in mouse models.
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References
Gozzi, A. & Zerbi, V. Modeling brain dysconnectivity in rodents. Biol. Psychiatry 93, 419–429 (2023). A review article that highlights the translational value of rodents for understanding human brain dysconnectivity.
Finn, E. S., Poldrack, R. A. & Shine, J. M. Functional neuroimaging as a catalyst for integrated neuroscience. Nature 623, 263–273 (2023). A perspective article that positions whole-brain functional MRI imaging as a unifying tool to integrate diverse subfields of neuroscience.
Siletti, K. et al. Transcriptomic diversity of cell types across the adult human brain. Science 382, eadd7046 (2023). This paper reports a cellular taxonomy of the human brain based on single-nucleus RNA sequencing.
Hawrylycz, M. J. et al. An anatomically comprehensive atlas of the adult human brain transcriptome. Nature 489, 391–399 (2012). This paper presents a high-resolution transcriptional atlas of the adult human brain.
Ortiz, C. et al. Molecular atlas of the adult mouse brain. Sci. Adv. 6, eabb3446 (2020). This work establishes a molecular atlas of the adult mouse brain, enabling data-driven neuroanatomical classification and mapping.
Bang, D. et al. Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers. Nat. Commun. 14, 3570 (2023). An image from this work was adapted in Fig. 1a.
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This is a summary of: Huang, S. et al. TransBrain: a computational framework for translating brain-wide phenotypes between humans and mice. Nat. Methods https://doi.org/10.1038/s41592-025-02961-3 (2025).
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Whole-brain phenotype mapping between humans and mice. Nat Methods 23, 295–296 (2026). https://doi.org/10.1038/s41592-025-02963-1
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DOI: https://doi.org/10.1038/s41592-025-02963-1