Single nucleus RNA sequencing profile analysis to reveal cell type specific common molecular drivers of Parkinson's disease and therapeutic agents.

Pappu MAA, Alamin M, Sultana MH
Sci Rep 2025
Open on PubMed

1. Sci Rep. 2025 Jul 25;15(1):27086. doi: 10.1038/s41598-025-09417-w. Single nucleus RNA sequencing profile analysis to reveal cell type specific common molecular drivers of Parkinson's disease and therapeutic agents. Pappu MAA(1), Alamin M(2), Sultana MH(3), Azad A(4)(5), Auwul MR(6), Mahmud S(1), Ajadee A(1), Sarker A(1), Alyami SA(4)(5), Mollah MNH(7). Author information: (1)Bioinformatics Lab (Dry), Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh. (2)Department of Mathematics and Physics, School of Engineering & Physical Sciences, North South University, Dhaka, 1229, Bangladesh. md.alamin06@northsouth.edu. (3)Department of Mathematics and Physics, School of Engineering & Physical Sciences, North South University, Dhaka, 1229, Bangladesh. (4)Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), 13318, Riyadh, Saudi Arabia. (5)King Salman Center for Disability Research, 11614, Riyadh, Saudi Arabia. (6)Department of Statistics, Gazipur Agricultural University, Gazipur, Dhaka, Bangladesh. (7)Bioinformatics Lab (Dry), Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh. mollah.stat.bio@ru.ac.bd. Parkinson's disease (PD) is the second most prevalent neurodegenerative disorder, characterized by progressive motor and cognitive decline, leading to long-term disability and significantly impacting quality of life. While PD research has traditionally focused on dopaminergic neurons in the substantia nigra (SN), emerging evidence also suggests glial involvement in disease progression. So, this study explored PD-associated key genes from neuronal and glial cell types to uncover pathogenetic mechanisms and potential therapeutics by employing single-nucleus RNA sequencing (snRNA-seq) data from the accession number GSE184950. A total of 426,886 nuclei were analyzed, yielding 129,473 high-quality nuclei. Through rigorous quality control, clusterin