White, Forest M.

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

Cited by 1,029

How many human proteoforms are there?

Aebersold, R., Agar, J. N., Amster, I. J., Baker, M. S., Bertozzi, C. R., Boja, E. S., Costello, C. E., Cravatt, B. F., Fenselau, C., Garcia, B. A., et al. (2018) · Nature Chemical Biology

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 907

Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities

Vasaikar, S., Huang, C., Wang, X., Petyuk, V. A., Savage, S. R., Wen, B., Dou, Y., Zhang, Y., Shi, Z., Arshad, O. A., et al. (2019) · Cell

Advanced Proteomics Techniques and ApplicationsCancer Genomics and Diagnostics

Cited by 799

Phosphorylated Peptides Are Naturally Processed and Presented by Major Histocompatibility Complex Class I Molecules in Vivo

Zarling, A. L., Ficarro, S. B., White, F. M., Shabanowitz, J., Hunt, D. F., & Engelhard, V. H. (2000) · The Journal of Experimental Medicine

vaccines and immunoinformatics approachesImmunotherapy and Immune Responses

Cited by 213

Revealing disease-associated pathways by network integration of untargeted metabolomics

Pirhaji, L., Milani, P., Leidl, M., Curran, T., Avila-Pacheco, J., Clish, C. B., White, F. M., Saghatelian, A., & Fraenkel, E. (2016) · Nature Methods

Bioinformatics and Genomic NetworksMetabolomics and Mass Spectrometry Studies

Cited by 167

Sloppy models, parameter uncertainty, and the role of experimental design

Apgar, J. F., Witmer, D. K., White, F. M., & Tidor, B. (2010) · Molecular BioSystems

Gene Regulatory Network AnalysisOptimal Experimental Design Methods

Cited by 146

Mcl-1 Integrates the Opposing Actions of Signaling Pathways That Mediate Survival and Apoptosis

Morel, C., Carlson, S. M., White, F. M., & Davis, R. J. (2009) · Molecular and Cellular Biology

Cell death mechanisms and regulationUbiquitin and proteasome pathways

Cited by 143

Multiplexed relative and absolute quantitative immunopeptidomics reveals MHC I repertoire alterations induced by CDK4/6 inhibition

Stopfer, L. E., Mesfin, J. M., Joughin, B. A., Lauffenburger, D. A., & White, F. M. (2020) · Nature Communications

vaccines and immunoinformatics approachesAdvanced Proteomics Techniques and Applications

Cited by 109

Stimulus Design for Model Selection and Validation in Cell Signaling

Apgar, J. F., Toettcher, J. E., Endy, D., White, F. M., & Tidor, B. (2008) · PLoS Computational Biology

Gene Regulatory Network AnalysisControl Systems and Identification

Cited by 79

Quantitative phosphoproteomics uncovers dysregulated kinase networks in Alzheimer’s disease

Morshed, N., Lee, M. J., Rodriguez, F. H., Lauffenburger, D. A., Mastroeni, D., & White, F. M. (2021) · Nature Aging

Alzheimer's disease research and treatmentsAdvanced Proteomics Techniques and Applications

Cited by 58

PTMScout, a Web Resource for Analysis of High Throughput Post-translational Proteomics Studies

Naegle, K. M., Gymrek, M., Joughin, B. A., Wagner, J. P., Welsch, R. E., Yaffe, M. B., Lauffenburger, D. A., & White, F. M. (2010) · Molecular & Cellular Proteomics

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 41

Abstract 4876: A systems pharmacology approach to discover synergistic targeted therapy combinations

Flower, C. T., Liu, C., Heath, J. R., Wei, W., & White, F. M. (2023) · Cancer Research

Melanoma and MAPK PathwaysProtein Tyrosine Phosphatases

Cited by 1