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Nature
Bioinformatics AI
Hui Yang, Tereza Clarence, Madeline R. Scott, Xinyi Wang, Prashant N. M., Milos Pjanic, Sanan Venkatesh, Aram Hong, Clara Casey, Sarah R. Murphy, Zhiping Shao, Marcela Alvia, Stathis Argyriou, Alexander Kawah Yu, Athan Z. Li, Biao Zeng, Chenfeng He, Chirag Gupta, Christian Dillard, Christian Porras, Collin Spencer, Daifeng Wang, David A. Bennett, David Burstein, Deepika Mathur, Fotios Tsetsos, Gennadi Ryan, Jennifer Monteiro Fortes, Jerome J. Choi, Kalpana H. Arachchilage, Karen Therrien, Lars J. Jensen, Lisa L. Barnes, Logan C. Dumitrescu, Lyra Sheu, Marios Anyfantakis, Maxim Signaevsky, Mikaela Koutrouli, Monika Ahirwar, Nicolas Y. Masse, Noah Cohen Kalafut, Pavel Katsel, Pengfei Dong, Pramod B. Chandrashekar, Rachel Bercovitch, Roman Kosoy, Saniya Khullar, Sayali A. Alatkar, Seon Kinrot, Steven Finkbeiner, Steven P. Kleopoulos, Timothy J. Hohman, Ting Jin, Vivek G. Ramaswamy, Xiang Huang, Zhenyi Wu, Nadejda M. Tsankova, Pavan K. Auluck, Stefano Marenco, Vahram Haroutunian, Georgios Voloudakis, Jaroslav Bendl, Colleen A. McClung, Donghoon Lee, John F. Fullard, Gabriel E. Hoffman, Kiran Girdhar, Panos Roussos
2026-09-23
TL;DR - This Nature study presents a lifespan single-cell transcriptomic atlas of the human dorsolateral prefrontal cortex. It reveals non-linear, cell-type-specific gene-expression changes across development, midlife, and late adulthood.
- Transcriptional programs undergo dynamic remodelling during brain development.
- Gene-expression patterns are comparatively stable in midlife.
- Late adulthood selectively reactivates some molecular programs.
- The atlas provides a cell-resolved framework for studying human cortical ageing.
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