Gyuris B, Vyazov L, Türk A, et al. Long shared haplotypes identify the southern Urals as a primary source for the 10th-century Hungarians. Cell. 2025;188(21):6064-6078.e11. doi:10.1016/j.cell.2025.09.002
Publications
Goel VY, Aboreden NG, Jusuf JM, et al. Dynamics of microcompartment formation at the mitosis-to-G1 transition. Nature structural & molecular biology. 2025. doi:10.1038/s41594-025-01687-2
Stanton AE, Bubnys A, Agbas E, et al. Engineered 3D immuno-glial-neurovascular human miBrain model. Proceedings of the National Academy of Sciences of the United States of America. 2025;122(42):e2511596122. doi:10.1073/pnas.2511596122
Gong D, Liu R, Cui Y, et al. Integrated spatial morpho-transcriptomics predicts functional traits in pancreatic cancer. Science advances. 2025;11(42):eadx0632. doi:10.1126/sciadv.adx0632
Wong WJ, Zon RL, Gibson CJ, et al. Somatic mutations in STAG2 are associated with separated megakaryocyte nuclear lobes in myelodysplastic syndromes. Blood advances. 2025;9(20):5283-5288. doi:10.1182/bloodadvances.2025016897
Fulciniti M, Yao Y, Perini T, et al. ID2 suppresses multiple myeloma cell proliferation by repressing the activity of the transcription factor TCF3. Blood cancer discovery. 2025. doi:10.1158/2643-3230.BCD-25-0048
Teo KSH, Tan BY, Teo YN, et al. Deep-learning-derived neuroimaging biomarkers of sarcopenia as predictors of outcome in endovascular thrombectomy in large vessel occlusion acute ischemic stroke. Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences. 2025:15910199251386116. doi:10.1177/15910199251386116
Carlson ES, Haslecker R, Lecchi C, et al. The specificity and structure of DNA crosslinking by the gut bacterial genotoxin colibactin. bioRxiv : the preprint server for biology. 2025. doi:10.1101/2025.05.26.655968
PMCID
PMC12154741
Tanes C, Hu W, Friedman E, et al. Distinguishing diet- and microbe-derived metabolites in the human gut. Microbiome. 2025;13(1):206. doi:10.1186/s40168-025-02258-9
Ma Y, Xu H, Li Y, et al. SPAmix: a scalable, accurate, and universal analysis framework for large-scale genetic association studies in admixed populations. Genome biology. 2025;26(1):356. doi:10.1186/s13059-025-03827-9