Yizhak, Keren

B cells and tertiary lymphoid structures promote immunotherapy response

Helmink, B. A., Reddy, S. M., Gao, J., Zhang, S., Basar, R., Thakur, R., Yizhak, K., Sade-Feldman, M., Blando, J., Han, G., et al. (2020) · Nature

Cancer Immunotherapy and BiomarkersT-cell and B-cell Immunology

Cited by 2,731

Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Head and Neck Cancer

Puram, S. V., Tirosh, I., Parikh, A. S., Patel, A. P., Yizhak, K., Gillespie, S., Rodman, C., Luo, C. L., Mroz, E. A., Emerick, K. S., et al. (2017) · Cell

Single-cell and spatial transcriptomicsCancer Cells and Metastasis

Cited by 2,557

Defining T Cell States Associated with Response to Checkpoint Immunotherapy in Melanoma

Sade-Feldman, M., Yizhak, K., Bjorgaard, S. L., Ray, J. P., de Boer, C. G., Jenkins, R. W., Lieb, D. J., Chen, J. H., Frederick, D. T., Barzily-Rokni, M., et al. (2018) · Cell

Cancer Immunotherapy and BiomarkersT-cell and B-cell Immunology

Cited by 2,053

Resistance to checkpoint blockade therapy through inactivation of antigen presentation

Sade-Feldman, M., Jiao, Y. J., Chen, J. H., Rooney, M. S., Barzily-Rokni, M., Eliane, J.-P., Bjorgaard, S. L., Hammond, M. R., Vitzthum, H., Blackmon, S. M., et al. (2017) · Nature Communications

Cancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses

Cited by 1,005

RNA sequence analysis reveals macroscopic somatic clonal expansion across normal tissues

Yizhak, K., Aguet, F., Kim, J., Hess, J. M., Kübler, K., Grimsby, J., Frazer, R., Zhang, H., Haradhvala, N. J., Rosebrock, D., et al. (2019) · Science

Cancer Genomics and DiagnosticsSingle-cell and spatial transcriptomics

Cited by 500

Diversion of aspartate in ASS1-deficient tumours fosters de novo pyrimidine synthesis

Rabinovich, S., Adler, L., Yizhak, K., Sarver, A., Silberman, A., Agron, S., Stettner, N., Sun, Q., Brandis, A., Helbling, D., et al. (2015) · Nature

Biochemical and Molecular ResearchAmino Acid Enzymes and Metabolism

Cited by 382

Defining T Cell States Associated with Response to Checkpoint Immunotherapy in Melanoma

Sade-Feldman, M., Yizhak, K., Bjorgaard, S. L., Ray, J. P., de Boer, C. G., Jenkins, R. W., Lieb, D. J., Chen, J. H., Frederick, D. T., Barzily-Rokni, M., et al. (2019) · Cell

Cancer Immunotherapy and BiomarkersT-cell and B-cell Immunology

Cited by 344

PD-1 blockade in subprimed CD8 cells induces dysfunctional PD-1+CD38hi cells and anti-PD-1 resistance

Verma, V., Shrimali, R. K., Ahmad, S., Dai, W., Wang, H., Lu, S., Nandre, R., Gaur, P., Lopez, J., Sade-Feldman, M., et al. (2019) · Nature Immunology

Cancer Immunotherapy and BiomarkersT-cell and B-cell Immunology

Cited by 333

Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network model

Yizhak, K., Benyamini, T., Liebermeister, W., Ruppin, E., & Shlomi, T. (2010) · Bioinformatics

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 253

Targeting TBK1 to overcome resistance to cancer immunotherapy

Sun, Y., Revach, O.-Y., Anderson, S., Kessler, E. A., Wolfe, C. H., Jenney, A., Mills, C. E., Robitschek, E. J., Davis, T. G. R., Kim, S., et al. (2023) · Nature

Cancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses

Cited by 174

A joint analysis of transcriptomic and metabolomic data uncovers enhanced enzyme-metabolite coupling in breast cancer

Auslander, N., Yizhak, K., Weinstock, A., Budhu, A., Tang, W., Wang, X. W., Ambs, S., & Ruppin, E. (2016) · Scientific Reports

Cancer, Hypoxia, and MetabolismMetabolomics and Mass Spectrometry Studies

Cited by 50