Mangione, R. M., Pierce, S., Zheng, M., Martin, R. M., Goncalves, C., Kumar, A., Scaglione, S., de Sousa Morgado, C., Penzo, A., Lancrey, A., Reid, R. J. D., Lautier, O., Gaillard, P.-H., Stirling, P. C., de Almeida, S. F., Rothstein, R., & Palancade, B. (2025). DNA lesions can frequently precede DNA:RNA hybrid accumulation. Nature Communications, 16(1). https://doi.org/10.1038/s41467-025-57588-x

Ibarra-Arellano, M. A., Caprio, L. A., Hada, A., Stotzem, N., Cai, L. L., Shah, S. B., Walsh, Z. H., Melms, J. C., Wünneman, F., Bestak, K., Mansaray, I., Izar, B., & Schapiro, D. (2025). micronuclAI enables automated quantification of micronuclei for assessment of chromosomal instability. Communications Biology, 8(1). https://doi.org/10.1038/s42003-025-07796-4

Tian, J., Lam, T. G., Ross, S. K., Ciener, B., Leskinen, S., Sivakumar, S., Bennett, D. A., Menon, V., McKhann, G. M., Runnels, A., & Teich, A. F. (2024). An analysis of RNA quality metrics in human brain tissue. Journal of Neuropathology & Experimental Neurology. https://doi.org/10.1093/jnen/nlae132

Reddy, J. S., Heath, L. M., Allen, M., Poehlman, W. L., Wang, Y., Johnson, R., Wang, E., Ma, Y., Ho, C. C. G., Lopes, K. de P., Linden, A. V., Quicksall, Z., Chen, X., Baheti, S., Nguyen, T., Yepez‐Sisalema, G., Mitchell, A. O., Oatman, S. R., … Wang, X. (2024). Multi‐omics profiling of Alzheimer’s disease in multi‐ethnic populations. Alzheimer’s & Dementia, 20(S1). Portico. https://doi.org/10.1002/alz.090590

Sah, B., Singh, J., Shen, Y., Goldfarb, N., Samie, F. H., Geskin, L. J., & Liu, L. (2024). Loss of CELF2 promotes skin tumorigenesis and increases drug resistance. International Journal of Dermatology. Portico. https://doi.org/10.1111/ijd.17295

Harken, A. D., Deoli, N. T., Perez Campos, C., Ponnaiya, B., Garty, G., Lee, G. S., Casper, M. J., Dhingra, S., Li, W., Johnson, G. W., Amundson, S. A., Grabham, P. W., Hillman, E. M. C., & Brenner, D. J. (2024). Combined ion beam irradiation platform and 3D fluorescence microscope for cellular cancer research. Biomedical Optics Express, 15(4), 2561. https://doi.org/10.1364/boe.522969

Reyes‐Dumeyer, D., Piriz, A., Soriano, B., Franco, Y., Coronado, Z. D., Recio, P., Mejia, D. R., Medrano, M., Lantigua, R. A., Vardarajan, B. N., Honig, L. S., & Mayeux, R. (2023). Biomarker collection from the Caribbean Hispanic families from Dominican Republic and New York. Alzheimer’s & Dementia, 19(S22). Portico. https://doi.org/10.1002/alz.074856

Soni, R. K. (2023). Protocol for deep proteomic profiling of formalin-fixed paraffin-embedded specimens using a spectral library-free approach. STAR Protocols, 4(3), 102381. https://doi.org/10.1016/j.xpro.2023.102381

Liu, Z., Cologne, J., Amundson, S. A., & Noda, A. (2023). Candidate biomarkers and persistent transcriptional responses after low and high dose ionizing radiation at high dose rate. International Journal of Radiation Biology, 99(12), 1853–1864. https://doi.org/10.1080/09553002.2023.2241897

Abend, M., Amundson, S. A., Badie, C., Brzoska, K., Kriehuber, R., Lacombe, J., Lopez-Riego, M., Lumniczky, K., Endesfelder, D., O’Brien, G., Doucha-Senf, S., Ghandhi, S. A., Hargitai, R., Kis, E., Lundholm, L., Oskamp, D., Ostheim, P., Schüle, S., Schwanke, D., … Port, M. (2023). RENEB Inter-Laboratory Comparison 2021: The Gene Expression Assay. Radiation Research, 199(6). https://doi.org/10.1667/rade-22-00206.1

Shuryak, I., Royba, E., Repin, M., Turner, H. C., Garty, G., Deoli, N., & Brenner, D. J. (2022). A machine learning method for improving the accuracy of radiation biodosimetry by combining data from the dicentric chromosomes and micronucleus assays. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-25453-2

Ghandhi, S. A., Shuryak, I., Ponnaiya, B., Wu, X., Garty, G., Morton, S. R., Kaur, S. P., & Amundson, S. A. (2022). Cross-platform validation of a mouse blood gene signature for quantitative reconstruction of radiation dose. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-18558-1

Ostheim, P., Alemu, S. W., Tichý, A., Sirak, I., Davidkova, M., Stastna, M. M., Kultova, G., Schuele, S., Paunesku, T., Woloschak, G., Ghandhi, S. A., Amundson, S. A., Haimerl, M., Stroszczynski, C., Port, M., & Abend, M. (2022). Examining potential confounding factors in gene expression analysis of human saliva and identifying potential housekeeping genes. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-05670-5

Lakkis, J., Schroeder, A., Su, K., Lee, M. Y. Y., Bashore, A. C., Reilly, M. P., & Li, M. (2022). A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation. Nature Machine Intelligence, 4(11), 940–952. https://doi.org/10.1038/s42256-022-00545-w

de Prisco, N., Botta, S., Lee, W., Rezazadeh, S., Chemiakine, A., & Gennarino, V. A. (2022). Determining the effects of loss of function mutations in human cell lines. STAR Protocols, 3(2), 101232. https://doi.org/10.1016/j.xpro.2022.101232

Yu, X., Gao, S., Wu, D., Li, Z., Mi, Y., Yang, T., Sun, F., Wang, L., Liu, R., He, S., Ge, Q., Lv, Y., Xu, A. (Yuanguang), & Zeng, H. (2022). Bone Tumor Suppression in Rabbits by Hyperthermia below the Clinical Safety Limit Using Aligned Magnetic Bone Cement (Small 3/2022). Small, 18(3). Portico. https://doi.org/10.1002/smll.202270012