Hanley, Christopher J.
University of Southampton
6 papers on CoChatORCID 0000-0003-3816-7220
Most cited papers
- Verified
mTOR regulates MAPKAPK2 translation to control the senescence-associated secretory phenotype
Herranz, N., Gallage, S., Mellone, M., Wuestefeld, T., Klotz, S., Hanley, C. J., Raguz, S., Acosta, J. C., Innes, A. J., Banito, A., et al. (2015) · Nature Cell Biology
Telomeres, Telomerase, and SenescenceGenetics, Aging, and Longevity in Model Organisms
Cited by 788
- Verified
NOX4 inhibition potentiates immunotherapy by overcoming cancer-associated fibroblast-mediated CD8 T-cell exclusion from tumors
Ford, K., Hanley, C. J., Mellone, M., Szyndralewiez, C., Heitz, F., Wiesel, P., Wood, O., Machado, M., Lopez, M.-A., Ganesan, A.-P., et al. (2020) · Cancer Research
Cancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses
Cited by 411
- Verified
PTBP1-Mediated Alternative Splicing Regulates the Inflammatory Secretome and the Pro-tumorigenic Effects of Senescent Cells
Georgilis, A., Klotz, S., Hanley, C. J., Herranz, N., Weirich, B., Morancho, B., Leote, A. C., D'Artista, L., Gallage, S., Seehawer, M., et al. (2018) · Cancer Cell
Telomeres, Telomerase, and SenescenceRNA Research and Splicing
Cited by 237
- Verified
Targeting the Myofibroblastic Cancer-Associated Fibroblast Phenotype Through Inhibition of NOX4
Hanley, C. J., Mellone, M., Ford, K., Thirdborough, S. M., Mellows, T., Frampton, S. J., Smith, D. M., Harden, E., Szyndralewiez, C., Bullock, M., et al. (2018) · JNCI: Journal of the National Cancer Institute
Cancer Cells and MetastasisTGF-β signaling in diseases
Cited by 195
- Verified
Induction of fibroblast senescence generates a non-fibrogenic myofibroblast phenotype that differentially impacts on cancer prognosis
Mellone, M., Hanley, C. J., Thirdborough, S., Mellows, T., Garcia, E., Woo, J., Tod, J., Frampton, S., Jenei, V., Moutasim, K. A., et al. (2016) · Aging
Telomeres, Telomerase, and SenescenceTGF-β signaling in diseases
Cited by 114
- Verified
An optimised tissue disaggregation and data processing pipeline for characterising fibroblast phenotypes using single-cell RNA sequencing
Waise, S., Parker, R., Rose-Zerilli, M. J. J., Layfield, D. M., Wood, O., West, J., Ottensmeier, C. H., Thomas, G. J., & Hanley, C. J. (2019) · Scientific Reports
Single-cell and spatial transcriptomicsMolecular Biology Techniques and Applications
Cited by 70
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