Dorans E, Jagadeesh K, Dey K, Price AL. Linking regulatory variants to target genes by integrating single-cell multiome methods and genomic distance. Nature genetics. 2025;57(7):1649-1658. doi:10.1038/s41588-025-02220-3
Publications
da Rocha JF, Lance ML, Luo R, et al. Protective exercise responses in the dentate gyrus of Alzheimer’s disease mouse model revealed with single-nucleus RNA-sequencing. Nature neuroscience. 2025;28(7):1546-1561. doi:10.1038/s41593-025-01971-w
Kinloch AJ, Rahman F, Karakas B, et al. Development of a Novel Biomarker Platform for Profiling Key Protein-Protein Interactions to Predict the Efficacy of BH3-Mimetic Drugs. Cancers. 2025;17(11). doi:10.3390/cancers17111852
Bozym DJ, Zheng DX, Revach OY, Aref A, Jenkins RW. Patient-derived organotypic tumor spheroids, tumoroids, and organoids: advancing immunotherapy using state-of-the-art 3D tumor model systems. Lab on a chip. 2025;25(13):3038-3059. doi:10.1039/d5lc00062a
Diallo MA, Ndiaye IM, Sow D, et al. RDT performance through high-throughput bead-based antigen detection during malaria school survey in Senegal. Frontiers in parasitology. 2025;4:1598280. doi:10.3389/fpara.2025.1598280
Pereira MDS, Del Bel E. Persistent COX-2 upregulation in L-DOPA-induced dyskinesia is unaffected by inhibition with celecoxib. Neuropharmacology. 2025;278:110560. doi:10.1016/j.neuropharm.2025.110560
Hamada T, Ugai T, Gurjao C, et al. Smoking habit and long-term colorectal cancer incidence by exome-wide mutational and neoantigen loads: evidence based on the prospective cohort incident-tumour biobank method. BMJ oncology. 2025;4(1):e000787. doi:10.1136/bmjonc-2025-000787
Avenhaus A, Kuhn BJ, Velimirović M, et al. Pleiotropic Effects of Metformin on the Chemotherapy Response of HPV-Positive Cancer Cells. Journal of medical virology. 2025;97(6):e70434. doi:10.1002/jmv.70434
Keys AM, Kastner DW, Kiessling LL, Kulik HJ. CH-Ï€ interactions confer orientational flexibility in protein-carbohydrate binding sites. The Journal of biological chemistry. 2025;301(8):110379. doi:10.1016/j.jbc.2025.110379
Kim MS, Khurshid S, Kany S, et al. Machine Learning-Based Plasma Protein Risk Score Improves Atrial Fibrillation Prediction Over Clinical and Genomic Models. Circulation. Genomic and precision medicine. 2025;18(4):e004943. doi:10.1161/CIRCGEN.124.004943