Author

R. Xi

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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Cancer Biology· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:differential expression· 1

Frequent Co-Authors

N. Giroux· 2 shared S. Ding· 2 shared X. Shen· 2 shared A. Dohlman· 1 shared A. Wu· 1 shared C. Hsu· 1 shared C. W. Woods· 1 shared C. Yu· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersCancer Biology

N. Giroux

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Chromatin Remodeling in Patient-Derived Colorectal Cancer Models

K. Xiang, E. Wang, G. Rupprecht, J. Mantyh, M. Negrete, G. Sanati, C. Hsu, P. Randon, A. Dohlman, K. Kretzschmar, N. Giroux, S. Ding, L. Wang, J. Prado, Q. Huang, , X. Shen

This study compares chromatin remodeling in colorectal cancer patient-derived models and identifies transcription factors driving differences in growth and drug response.

bioRxiv · Jul 24, 2022Cancer Biology

Mucosal Associated Invariant T (MAIT) Cell Responses Differ by Sex in COVID-19

C. Yu, S. Littleton, N. Giroux, R. Mathew, S. Ding, J. Kalnitsky, E. Petzold, H. Chung, G. r. Palomino, T. Rotstein, R. Xi, E. R. Ko, E. L. Tsalik, g. sempowski, T. N. Denny, , D. R. Saban

The paper examines sex differences in MAIT cell responses in COVID-19 patients, finding reduced circulating MAIT cells in females and a protective gene signature associated with female MAIT cells.

bioRxiv · Dec 1, 2020Immunology

Self-assembled primary tumor clusters for precision cancer therapy

S. Yin, R. Xi, A. Wu, J.-F. Ji, J. Xi

This paper introduces a novel patient-derived tumor-like cell cluster model for personalized drug testing, showing high similarity to original tumors and enabling rapid drug testing within 10-20 days.

bioRxiv · Jul 14, 2019 · PreprintCancer Biology