Rose, Christopher M.

Quantitative Proteomics of the Cancer Cell Line Encyclopedia

Nusinow, D. P., Szpyt, J., Ghandi, M., Rose, C. M., McDonald, E. R., Kalocsay, M., Jané-Valbuena, J., Gelfand, E., Schweppe, D. K., Jedrychowski, M., et al. (2020) · Cell

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 957

Single-cell proteomics enabled by next-generation sequencing or mass spectrometry

Bennett, H. M., Stephenson, W., Rose, C. M., & Darmanis, S. (2023) · Nature Methods

Advanced Proteomics Techniques and ApplicationsSingle-cell and spatial transcriptomics

Cited by 351

Complement C1q-dependent excitatory and inhibitory synapse elimination by astrocytes and microglia in Alzheimer’s disease mouse models

Dejanovic, B., Wu, T., Tsai, M.-C., Graykowski, D., Gandham, V. D., Rose, C. M., Bakalarski, C. E., Ngu, H., Wang, Y., Pandey, S., et al. (2022) · Nature Aging

Neuroinflammation and Neurodegeneration MechanismsAlzheimer's disease research and treatments

Cited by 341

Transposable element expression in tumors is associated with immune infiltration and increased antigenicity

Kong, Y., Rose, C. M., Cass, A. A., Williams, A. G., Darwish, M., Lianoglou, S., Haverty, P. M., Tong, A.-J., Blanchette, C., Albert, M. L., et al. (2019) · Nature Communications

Epigenetics and DNA MethylationChromosomal and Genetic Variations

Cited by 285

PIKES Analysis Reveals Response to Degraders and Key Regulatory Mechanisms of the CRL4 Network

Reichermeier, K. M., Straube, R., Reitsma, J. M., Sweredoski, M. J., Rose, C. M., Moradian, A., den Besten, W., Hinkle, T., Verschueren, E., Petzold, G., et al. (2020) · Molecular Cell

Ubiquitin and proteasome pathwaysProtein Degradation and Inhibitors

Cited by 78

NeuCode Proteomics Reveals Bap1 Regulation of Metabolism

Baughman, J. M., Rose, C. M., Kolumam, G., Webster, J. D., Wilkerson, E. M., Merrill, A. E., Rhoads, T. W., Noubade, R., Katavolos, P., Lesch, J., et al. (2016) · Cell Reports

Advanced Proteomics Techniques and ApplicationsCancer, Lipids, and Metabolism

Cited by 73

Machine-Learning and Chemicogenomics Approach Defines and Predicts Cross-Talk of Hippo and MAPK Pathways

Pham, T. H., Hagenbeek, T. J., Lee, H.-J., Li, J., Rose, C. M., Lin, E., Yu, M., Martin, S. E., Piskol, R., Lacap, J. A., et al. (2021) · Cancer Discovery

Hippo pathway signaling and YAP/TAZCancer-related molecular mechanisms research

Cited by 64