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Nature
Medical/Healthcare AI
Donghoon Lee, Mikaela Koutrouli, Nicolas Y. Masse, Gabriel E. Hoffman, Seon Kinrot, Xinyi Wang, Prashant N. M., Milos Pjanic, Tereza Clarence, Fotios Tsetsos, Deepika Mathur, David Burstein, Karen Therrien, Aram Hong, Clara Casey, Zhiping Shao, Marcela Alvia, Stathis Argyriou, Jennifer Monteiro Fortes, Sarah R. Murphy, Pavel Katsel, Pavan K. Auluck, Lisa L. Barnes, Stefano Marenco, David A. Bennett, Athan Z. Li, Biao Zeng, Chenfeng He, Chirag Gupta, Christian Dillard, Christian Porras, Colleen A. McClung, Collin Spencer, Daifeng Wang, Gennadi Ryan, Hui Yang, Jerome J. Choi, Kalpana H. Arachchilage, Lars J. Jensen, Logan C. Dumitrescu, Lyra Sheu, Madeline R. Scott, Marios Anyfantakis, Maxim Signaevsky, Monika Ahirwar, Noah Cohen Kalafut, Pengfei Dong, Pramod B. Chandrashekar, Rachel Bercovitch, Roman Kosoy, Sanan Venkatesh, Saniya Khullar, Sayali A. Alatkar, Steven Finkbeiner, Steven P. Kleopoulos, Timothy J. Hohman, Ting Jin, Vivek G. Ramaswamy, Xiang Huang, Zhenyi Wu, Lars Juhl Jensen, Kiran Girdhar, Georgios Voloudakis, Vahram Haroutunian, Jaroslav Bendl, John F. Fullard, Panos Roussos
2026-09-23
TL;DR - This Nature study presents a population-scale, single-cell transcriptomic atlas of the human dorsolateral prefrontal cortex across neurodegenerative and neuropsychiatric disorders. It maps cell-level molecular vulnerability and may help identify therapeutic targets.
- Profiles gene-expression patterns at single-cell resolution in a brain region implicated in multiple disorders.
- Provides a cross-disorder view of the transcriptomic landscape at population scale.
- Highlights potential molecular targets for therapeutic intervention, although specific findings are not provided in the excerpt.
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