Wang, Pei

Proteogenomics connects somatic mutations to signalling in breast cancer

CPTAC, N., Mertins, P., Mani, D. R., Ruggles, K. V., Gillette, M. A., Clauser, K. R., Wang, P., Wang, X., Qiao, J. W., Cao, S., et al. (2016) · Nature

Advanced Proteomics Techniques and ApplicationsCancer Genomics and Diagnostics

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Proteogenomic characterization of human colon and rectal cancer

CPTAC, T. N., Zhang, B., Wang, J., Wang, X., Zhu, J., Liu, Q., Shi, Z., Chambers, M. C., Zimmerman, L. J., Shaddox, K. F., et al. (2014) · Nature

Cancer Genomics and DiagnosticsAdvanced Proteomics Techniques and Applications

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Integrated Proteogenomic Characterization of HBV-Related Hepatocellular Carcinoma

Gao, Q., Zhu, H., Dong, L., Shi, W., Chen, R., Song, Z., Huang, C., Li, J., Dong, X., Zhou, Y., et al. (2019) · Cell

Hepatocellular Carcinoma Treatment and PrognosisHepatitis B Virus Studies

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Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer

Zhang, H., Liu, T., Zhang, Z., Payne, S. H., Zhang, B., McDermott, J. E., Zhou, J.-Y., Petyuk, V. A., Chen, L., Ray, D., et al. (2016) · Cell

Ovarian cancer diagnosis and treatmentAdvanced Proteomics Techniques and Applications

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Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma

Gillette, M. A., Satpathy, S., Cao, S., Dhanasekaran, S. M., Vasaikar, S. V., Krug, K., Petralia, F., Li, Y., Liang, W.-W., Reva, B., et al. (2020) · Cell

Lung Cancer Treatments and MutationsLung Cancer Research Studies

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Molecular Profiling of Breast Cancer Cell Lines Defines Relevant Tumor Models and Provides a Resource for Cancer Gene Discovery

Kao, J., Salari, K., Bocanegra, M., Choi, Y.-L., Girard, L., Gandhi, J., Kwei, K. A., Hernandez-Boussard, T., Wang, P., Gazdar, A. F., et al. (2009) · PLoS ONE

Breast Cancer Treatment StudiesCancer Genomics and Diagnostics

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Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma

Clark, D. J., Dhanasekaran, S. M., Petralia, F., Pan, J., Song, X., Hu, Y., da Veiga Leprevost, F., Reva, B., Lih, T.-S. M., Chang, H.-Y., et al. (2019) · Cell

Renal cell carcinoma treatmentCancer Genomics and Diagnostics

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Proteogenomic and metabolomic characterization of human glioblastoma

Wang, L.-B., Karpova, A., Gritsenko, M. A., Kyle, J. E., Cao, S., Li, Y., Rykunov, D., Colaprico, A., Rothstein, J. H., Hong, R., et al. (2021) · Cancer Cell

Glioma Diagnosis and TreatmentCancer Genomics and Diagnostics

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Proteogenomic characterization of pancreatic ductal adenocarcinoma

Cao, L., Huang, C., Cui Zhou, D., Hu, Y., Lih, T. M., Savage, S. R., Krug, K., Clark, D. J., Schnaubelt, M., Chen, L., et al. (2021) · Cell

Pancreatic and Hepatic Oncology ResearchCancer Genomics and Diagnostics

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Repeatability and Reproducibility in Proteomic Identifications by Liquid Chromatography−Tandem Mass Spectrometry

Tabb, D. L., Vega-Montoto, L., Rudnick, P. A., Variyath, A. M., Ham, A.-J. L., Bunk, D. M., Kilpatrick, L. E., Billheimer, D. D., Blackman, R. K., Cardasis, H. L., et al. (2010) · Journal of Proteome Research

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

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The Mount Sinai cohort of large-scale genomic, transcriptomic and proteomic data in Alzheimer’s disease

Wang, M., Beckmann, N. D., Roussos, P., Wang, E., Zhou, X., Wang, Q., Ming, C., Neff, R., Ma, W., Fullard, J. F., et al. (2018) · Scientific Data

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

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Proteogenomic Characterization of Endometrial Carcinoma

Dou, Y., Kawaler, E. A., Cui Zhou, D., Gritsenko, M. A., Huang, C., Blumenberg, L., Karpova, A., Petyuk, V. A., Savage, S. R., Satpathy, S., et al. (2020) · Cell

Endometrial and Cervical Cancer TreatmentsAdvanced Proteomics Techniques and Applications

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Integrated Proteogenomic Characterization across Major Histological Types of Pediatric Brain Cancer

Petralia, F., Tignor, N., Reva, B., Koptyra, M., Chowdhury, S., Rykunov, D., Krek, A., Ma, W., Zhu, Y., Ji, J., et al. (2020) · Cell

Glioma Diagnosis and TreatmentCancer Genomics and Diagnostics

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Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer

Peng, J., Zhu, J., Bergamaschi, A., Han, W., Noh, D.-Y., Pollack, J. R., & Wang, P. (2010) · The Annals of Applied Statistics

Statistical Methods and InferenceGene expression and cancer classification

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The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit

Chan, Y.-F. Y., Wang, P., Rogers, L., Tignor, N., Zweig, M., Hershman, S. G., Genes, N., Scott, E. R., Krock, E., Badgeley, M., et al. (2017) · Nature Biotechnology

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Demonstrating the feasibility of large-scale development of standardized assays to quantify human proteins

Kennedy, J. J., Abbatiello, S. E., Kim, K., Yan, P., Whiteaker, J. R., Lin, C., Kim, J. S., Zhang, Y., Wang, X., Ivey, R. G., et al. (2014) · Nature Methods

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

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Performance Metrics for Liquid Chromatography-Tandem Mass Spectrometry Systems in Proteomics Analyses

Rudnick, P. A., Clauser, K. R., Kilpatrick, L. E., Tchekhovskoi, D. V., Neta, P., Blonder, N., Billheimer, D. D., Blackman, R. K., Bunk, D. M., Cardasis, H. L., et al. (2010) · Molecular & Cellular Proteomics

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Multiscale causal networks identify VGF as a key regulator of Alzheimer’s disease

Beckmann, N. D., Lin, W.-J., Wang, M., Cohain, A. T., Charney, A. W., Wang, P., Ma, W., Wang, Y.-C., Jiang, C., Audrain, M., et al. (2020) · Nature Communications

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

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Multiscale network modeling of oligodendrocytes reveals molecular components of myelin dysregulation in Alzheimer’s disease

McKenzie, A. T., Moyon, S., Wang, M., Katsyv, I., Song, W.-M., Zhou, X., Dammer, E. B., Duong, D. M., Aaker, J., Zhao, Y., et al. (2017) · Molecular Neurodegeneration

Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

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Mobile health: the power of wearables, sensors, and apps to transform clinical trials

Munos, B., Baker, P. C., Bot, B. M., Crouthamel, M., de Vries, G., Ferguson, I., Hixson, J. D., Malek, L. A., Mastrototaro, J. J., Misra, V., et al. (2016) · Annals of the New York Academy of Sciences

Mobile Health and mHealth ApplicationsNon-Invasive Vital Sign Monitoring

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Integrative multi-omic cancer profiling reveals DNA methylation patterns associated with therapeutic vulnerability and cell-of-origin

Liang, W.-W., Lu, R. J.-H., Jayasinghe, R. G., Foltz, S. M., Porta-Pardo, E., Geffen, Y., Wendl, M. C., Lazcano, R., Kolodziejczak, I., Song, Y., et al. (2023) · Cancer Cell

Epigenetics and DNA MethylationCancer Genomics and Diagnostics

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Establishing the relationship between brain cellular senescence and brain structure

Lund, A. N., Kopell, B. H., Golestani, N., Vornholt, E., Thompson, R. C., Liharska, L. E., Luo, Y., Cheng, E., Park, Y. J., Fennessy, B., et al. (2026) · Cell

Telomeres, Telomerase, and SenescenceSingle-cell and spatial transcriptomics

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