The paper investigates cell-to-cell communication in Alzheimer's disease to characterize disease biology and suggest new avenues for therapeutic intervention.

Science Translational Medicine · Jul 30, 2025Peer-reviewedNeuroscience

Spatially resolved transcriptomics reveals unique gene signatures associated with human temporal cortical architecture and Alzheimer's pathology

Shuo Chen, Yuzhou Chang, Liangping Li, Diana M. Acosta, Yang Li, Qi Guo, Cankun Wang, Emir Turkes, Cody T. Morrison, Dominic L. Julian, Mark E. Hester, Douglas W. Scharre, Chintda Santiskulvong, Sarah XueYing Song, Jasmine Plummer, , Hongjun Fu

This study uses spatial transcriptomics to identify gene signatures in the human temporal cortex linked to Alzheimer's pathology.

Acta Neuropathologica Communications · Dec 21, 2022Peer-reviewedNeuroscience

Define and visualize pathological architectures of human tissues from spatially resolved transcriptomics using deep learning

Yuzhou Chang, Fei He, Juexin Wang, Shuo Chen, Jingyi Li, Jixin Liu, Yang Yu, Li Su, Anjun Ma, Carter Allen, Yu Lin, Shaoli Sun, Bingqiang Liu, José Javier Otero, Dongjun Chung, , Qin Ma

RESEPT uses deep learning to visualize and characterize tissue architecture from spatial transcriptomics data, revealing pathological structures in Alzheimer's and glioblastoma samples.

Computational and Structural Biotechnology Journal · Jan 1, 2022Peer-reviewedBioinformatics