Author

Y. Zakharia

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Immunology· 3 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:differential expression· 3 Approach:experimental assay· 3 Research Focus:gene regulatory network inference· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Assay:scRNA-seq· 2

Frequent Co-Authors

A. A. Tarhini· 2 shared A. C. Tan· 2 shared A. E. G. Osman· 2 shared A. P. Ikeguchi· 2 shared A. Vishwakarma· 2 shared C. E. Wheeler· 2 shared C. M. Ulrich· 2 shared D. Spakowicz· 2 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersImmunology

A. A. Tarhini

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Author profile →

4 papers

Recent·Most cited

The tumor microbiome reacts to hypoxia and can influence response to radiation treatment in colorectal cancer

M. Benej, R. Hoyd, M. Kreamer, C. E. Wheeler, D. J. Grencewicz, F. Choueiry, C. H. Chan, Y. Zakharia, Q. Ma, R. D. Dodd, C. M. Ulrich, S. Hardikar, M. L. Churchman, A. A. Tarhini, L. A. Robinson, , D. Spakowicz

The paper examines how hypoxia affects the tumor microbiome and its interaction with radiation response in colorectal cancer using RNA-seq data and experimental models.

bioRxiv · Sep 1, 2023Immunology

The tumor microbiome as a predictor of outcomes in patients with metastatic melanoma treated with immune checkpoint inhibitors

C. E. Wheeler, , S. S. Coleman, R. Hoyd, L. Denko, C. H. F. Chan, M. L. Churchman, N. Denko, R. D. Dodd, I. Eljilany, S. Hardikar, M. Husain, A. P. Ikeguchi, N. Jin, Q. Ma, M. D. McCarter, , A. C. Tan

This study identifies microbes associated with immunotherapy response in metastatic melanoma and shows that combining microbe abundances with gene expression improves survival prediction.

bioRxiv · May 24, 2023 · PreprintImmunology

Mapping the Immune Landscape of Clear Cell Renal Cell Carcinoma by Single-Cell RNA-seq

A. Vishwakarma, N. Borcherding, M. S. Chimenti, P. Vishwakarma, K. Nepple, A. Salem, R. W. Jenkins, W. Zhang, Y. Zakharia

This study uses single-cell RNA-seq to characterize immune cell diversity and gene programs in clear cell renal cell carcinoma, identifying distinct immune cell states and clonotypes.

bioRxiv · Oct 31, 2019Immunology

Transcriptional heterogeneity in cancer-associated regulatory T cells is predictive of survival.

N. Borcherding, K. K. Ahmed, A. P. Voigt, A. Vishwakarma, R. Kolb, P. Kluz, G. Pandey, K. N. Gibson-Corley, J. Klesney-Tait, Y. Zhu, J. Lu, J. Lu, X. Huang, J. Cheng, S. G. Zheng, , W. Zhang

The paper identifies transcriptional subtypes of tumor-infiltrating regulatory T cells and shows that a CD177+ subset predicts poorer survival in renal clear cell carcinoma and other cancers.

bioRxiv · Nov 26, 2018 · PreprintCancer Biology