Proteome

Displaying 1 - 12 of 12CSV
Hu, T., Liu, Q., Dai, Q., Buchman, A. S., Bennett, D. A., Tasaki, S., Wang, Y., Seyfried, N. T., De Jager, P. L., Epstein, M. P., & Yang, J. (2025). Proteome-wide association studies using summary pQTL data of brain, CSF, and plasma identify 30 risk genes of Alzheimer’s disease dementia. Alzheimer’s Research & Therapy, 17(1). https://doi.org/10.1186/s13195-025-01774-y
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Gholampour, M., Basu, M. K., Swerdlow, R. H., Zhuo, X., & Haeri, M. (2025). Cell‐specific protein expression in Alzheimer’s disease prefrontal cortex. Alzheimer’s & Dementia, 21(6). Portico. https://doi.org/10.1002/alz.70339
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Mohanty, I., Fazelinia, H., Raimo, S., Ding, H., Spruce, L., Symeonidou, M., Tenopoulou, M., Ichinose, F., Yamashita, H., Shimokawa, H., Masato, T., Doulias, P.-T., & Ischiropoulos, H. (2025). Proteomic surveys of the mouse heart unveil cardiovascular responses to nitric oxide/cGMP signaling deficiencies. Communications Biology, 8(1). https://doi.org/10.1038/s42003-025-08203-8
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Jiang, W., Jaehnig, E. J., Liao, Y., Shi, Z., Yaron-Barir, T. M., Johnson, J. L., Cantley, L. C., & Zhang, B. (2025). Deciphering the dark cancer phosphoproteome using machine-learned co-regulation of phosphosites. Nature Communications, 16(1). https://doi.org/10.1038/s41467-025-57993-2
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Klomp, J. E., Diehl, J. N., Klomp, J. A., Edwards, A. C., Yang, R., Morales, A. J., Taylor, K. E., Drizyte-Miller, K., Bryant, K. L., Schaefer, A., Johnson, J. L., Huntsman, E. M., Yaron, T. M., Pierobon, M., Baldelli, E., Prevatte, A. W., Barker, N. K., Herring, L. E., Petricoin, E. F., … Stalnecker, C. A. (2024). Determining the ERK-regulated phosphoproteome driving KRAS-mutant cancer. Science, 384(6700). https://doi.org/10.1126/science.adk0850
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Zhao, H., Petrey, D., Murray, D., & Honig, B. (2024). ZEPPI: Proteome-scale sequence-based evaluation of protein–protein interaction models. Proceedings of the National Academy of Sciences, 121(21). https://doi.org/10.1073/pnas.2400260121
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Ross, A. B., Gorhe, D., Kim, J. K., Hodapp, S., DeVine, L., Chan, K. M., Chio, I. I. C., Jovanovic, M., & Ayres Pereira, M. (2024). Systematic analysis of proteome turnover in an organoid model of pancreatic cancer by dSILO. Cell Reports Methods, 4(5), 100760. https://doi.org/10.1016/j.crmeth.2024.100760
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Makepeace, K. A. T., Rookyard, A. W., Das, L., Vardarajan, B. N., Chakrabarty, J. K., Jain, A., Kang, M. S., Werth, E. G., Reyes‐Dumeyer, D., Zerlin‐Esteves, M., Honig, L. S., Mayeux, R., & Brown, L. M. (2024). Data‐Independent Acquisition and Label‐Free Quantification for Quantitative Proteomics Analysis of Human Cerebrospinal Fluid. Current Protocols, 4(3). Portico. https://doi.org/10.1002/cpz1.1014
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Petrey, D., Zhao, H., Trudeau, S. J., Murray, D., & Honig, B. (2023). PrePPI: A Structure Informed Proteome-wide Database of Protein–Protein Interactions. Journal of Molecular Biology, 435(14), 168052. https://doi.org/10.1016/j.jmb.2023.168052
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Johnson, J. L., Yaron, T. M., Huntsman, E. M., Kerelsky, A., Song, J., Regev, A., Lin, T.-Y., Liberatore, K., Cizin, D. M., Cohen, B. M., Vasan, N., Ma, Y., Krismer, K., Robles, J. T., van de Kooij, B., van Vlimmeren, A. E., Andrée-Busch, N., Käufer, N. F., Dorovkov, M. V., … Cantley, L. C. (2023). An atlas of substrate specificities for the human serine/threonine kinome. Nature, 613(7945), 759–766. https://doi.org/10.1038/s41586-022-05575-3
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Lee, M., Woo, J., Kim, D.-H., Yang, Y.-M., Lee, E. Y., Kim, J.-H., Kang, S.-G., Shim, J.-K., & Park, J.-Y. (2021). A novel paper MAP method for rapid high resolution histological analysis. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-02632-1
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Gebert, N., Rahman, S., Lewis, C. A., Ori, A., & Cheng, C. (2021). Identifying Cell‐Type‐Specific Metabolic Signatures Using Transcriptome and Proteome Analyses. Current Protocols, 1(9). Portico. https://doi.org/10.1002/cpz1.245
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