Proteomics

Displaying 1 - 24 of 24CSV
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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Resell, M., Rabben, H.-L., Sharma, A., Hagen, L., Hoang, L., Skogaker, N. T., Aarvik, A., Bjåstad, E. K., Svensson, M. K., Amrutkar, M., Verbeke, C. S., Batra, S. K., Qvigstad, G., Wang, T. C., Rustgi, A., Chen, D., & Zhao, C.-M. (2025). Proteomics profiling of research models for studying pancreatic ductal adenocarcinoma. Scientific Data, 12(1). https://doi.org/10.1038/s41597-025-04522-x
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Seifar, F., Fox, E. J., Shantaraman, A., Liu, Y., Dammer, E. B., Modeste, E., Duong, D. M., Yin, L., Trautwig, A. N., Guo, Q., Xu, K., Ping, L., Reddy, J. S., Allen, M., Quicksall, Z., Heath, L., Scanlan, J., Wang, E., Wang, M., … Seyfried, N. T. (2024). Large‐scale deep proteomic analysis in Alzheimer’s disease brain regions across race and ethnicity. Alzheimer’s & Dementia. Portico. https://doi.org/10.1002/alz.14360
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Lumish, H. S., Harano, N., Liang, L. W., Hasegawa, K., Maurer, M. S., Tower-Rader, A., Fifer, M. A., Reilly, M. P., & Shimada, Y. J. (2024). Prediction of new-onset atrial fibrillation in patients with hypertrophic cardiomyopathy using plasma proteomics profiling. Europace, 26(11). https://doi.org/10.1093/europace/euae267
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Lumish, H. S., Sherrid, M. V., Janssen, P. M. L., Ferrari, G., Hasegawa, K., Castillero, E., Adlestein, E., Swistel, D. G., Topkara, V. K., Maurer, M. S., Reilly, M. P., & Shimada, Y. J. (2024). Comprehensive Proteomic Profiling of Human Myocardium Reveals Signaling Pathways Dysregulated in Hypertrophic Cardiomyopathy. Journal of the American College of Cardiology, 84(20), 1999–2011. https://doi.org/10.1016/j.jacc.2024.07.043
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Wu, Y., Foollee, A., Chan, A. Y., Hille, S., Hauke, J., Challis, M. P., Johnson, J. L., Yaron, T. M., Mynard, V., Aung, O. H., Cleofe, M. A. S., Huang, C., Lim Kam Sian, T. C. C., Rahbari, M., Gallage, S., Heikenwalder, M., Cantley, L. C., Schittenhelm, R. B., Formosa, L. E., … Rose, A. J. (2024). Phosphoproteomics-directed manipulation reveals SEC22B as a hepatocellular signaling node governing metabolic actions of glucagon. Nature Communications, 15(1). https://doi.org/10.1038/s41467-024-52703-w
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Schmidt, I. M., Surapaneni, A. L., Zhao, R., Upadhyay, D., Yeo, W.-J., Schlosser, P., Huynh, C., Srivastava, A., Palsson, R., Kim, T., Stillman, I. E., Barwinska, D., Barasch, J., Eadon, M. T., El-Achkar, T. M., Henderson, J., Moledina, D. G., Rosas, S. E., Claudel, S. E., … Waikar, S. S. (2024). Plasma proteomics of acute tubular injury. Nature Communications, 15(1). https://doi.org/10.1038/s41467-024-51304-x
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Gassaway, B. M., Huttlin, E. L., Huntsman, E. M., Yaron-Barir, T. M., Johnson, J. L., Kurmi, K., Cantley, L. C., Paulo, J. A., Ringel, A. E., Gygi, S. P., & Haigis, M. C. (2024). Profiling Proteins and Phosphorylation Sites During T Cell Activation Using an Integrated Thermal Shift Assay. Molecular & Cellular Proteomics, 23(7), 100801. https://doi.org/10.1016/j.mcpro.2024.100801
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Rosenberger, G., Li, W., Turunen, M., He, J., Subramaniam, P. S., Pampou, S., Griffin, A. T., Karan, C., Kerwin, P., Murray, D., Honig, B., Liu, Y., & Califano, A. (2024). Network-based elucidation of colon cancer drug resistance mechanisms by phosphoproteomic time-series analysis. Nature Communications, 15(1). https://doi.org/10.1038/s41467-024-47957-3
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Perry, A. S., Zhang, K., Murthy, V. L., Choi, B., Zhao, S., Gajjar, P., Colangelo, L. A., Hou, L., Rice, M. B., Carr, J. J., Carson, A. P., Nigra, A. E., Vasan, R. S., Gerszten, R. E., Khan, S. S., Kalhan, R., Nayor, M., & Shah, R. V. (2024). Proteomics, Human Environmental Exposure, and Cardiometabolic Risk. Circulation Research, 135(1), 138–154. https://doi.org/10.1161/circresaha.124.324559
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Zhao, J. V., Yao, M., & Liu, Z. (2024). Using genetics and proteomics data to identify proteins causally related to COVID-19, healthspan and lifespan: a Mendelian randomization study. Aging. https://doi.org/10.18632/aging.205711
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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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Roberts, J. A., Basu-Roy, S., Shin, J., Varma, V. R., Williamson, A., Blackshear, C., Griswold, M. E., Candia, J., Elango, P., Karikkineth, A. C., Tanaka, T., Ferrucci, L., & Thambisetty, M. (2024). Serum Proteomic Signatures of Common Health Outcomes among Older Adults. Gerontology, 70(3), 269–278. Portico. https://doi.org/10.1159/000534753
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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
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Johnson, E. C. B., Bian, S., Haque, R. U., Carter, E. K., Watson, C. M., Gordon, B. A., Ping, L., Duong, D. M., Epstein, M. P., McDade, E., Barthélemy, N. R., Karch, C. M., Xiong, C., Cruchaga, C., Perrin, R. J., Wingo, A. P., Wingo, T. S., Chhatwal, J. P., Day, G. S., … Ringman, J. (2023). Cerebrospinal fluid proteomics define the natural history of autosomal dominant Alzheimer’s disease. Nature Medicine, 29(8), 1979–1988. https://doi.org/10.1038/s41591-023-02476-4
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Leong, S., Aksit, A., Szeto, B., Feng, S. J., Ji, X., Soni, R. K., Olson, E. S., Kysar, J. W., & Lalwani, A. K. (2023). Anatomic, physiologic, and proteomic consequences of repeated microneedle-mediated perforations of the round window membrane. Hearing Research, 432, 108739. https://doi.org/10.1016/j.heares.2023.108739
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Gao, C., Gong, J., Cao, N., Wang, Y., & Steinberg, S. F. (2022). Lipid-independent activation of a muscle-specific PKCα splicing variant. American Journal of Physiology-Heart and Circulatory Physiology, 323(4), H825–H832. https://doi.org/10.1152/ajpheart.00304.2022
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Moriconi, C., Dzieciatkowska, M., Roy, M., D’Alessandro, A., Roingeard, P., Lee, J. Y., Gibb, D. R., Tredicine, M., McGill, M. A., Qiu, A., La Carpia, F., Francis, R. O., Hod, E. A., Thomas, T., Picard, M., Akpan, I. J., Luckey, C. J., Zimring, J. C., Spitalnik, S. L., & Hudson, K. E. (2022). Retention of functional mitochondria in mature red blood cells from patients with sickle cell disease. British Journal of Haematology, 198(3), 574–586. Portico. https://doi.org/10.1111/bjh.18287
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Raivola, J., Dini, A., Salokas, K., Karvonen, H., Niininen, W., Piki, E., Varjosalo, M., & Ungureanu, D. (2022). New insights into the molecular mechanisms of ROR1, ROR2, and PTK7 signaling from the proteomics and pharmacological modulation of ROR1 interactome. Cellular and Molecular Life Sciences, 79(5). https://doi.org/10.1007/s00018-022-04301-6
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Kushner, J. S., Liu, G., Eisert, R. J., Bradshaw, G. A., Pitt, G. S., Hinson, J. T., Kalocsay, M., & Marx, S. O. (2022). Detecting Cardiovascular Protein-Protein Interactions by Proximity Proteomics. Circulation Research, 130(2), 273–287. https://doi.org/10.1161/circresaha.121.319810
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