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Huaying Qiu

As seen in: BioRxiv, Cell Reports Medicine
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Articles

Epstein-Barr virus orchestrates spatial reorganization and immunomodulation in the classic Hodgkin lymphoma tumor microenvironment

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By Yao Yu Yeo, Huaying Qiu, Yunhao Bai, Bokai Zhu, Yuzhou Chang, Fabio Iannelli, Jason Yeung, Hendrik A Michel, Yuchen Wang, Yang Wang, Wenrui Wu, Kyle Wright, Muhammad Shaban, Sam Sadigh, Dingani Nkosi, Vignesh Shanmugam, Philip Rock, Julia Paczkowska, Pierre Stéphan, Guanrui Liao, Amy Huang, Hongbo Wang, Han Chen, Leonie Frauenfeld, Louisa Kaufmann, Stefano A Pileri, Bidisha Mitra Verified, Benjamin E. Gewurz, Bo Zhao, Garry P. Nolan, Baochun Zhang, Alex K. Shalek, Michael Angelo, Christian M. Schürch, Faisal Mahmood, Roberto Chiarle, Qin Ma, W. Richard Burack, Margaret A. Shipp, Scott J. Rodig, Sizun Jiang, Precious Cramer
| Cell Reports Medicine Verified
Keywords multiplexed imaging spatial proteomics spatial transcriptomics EBV tumor virus tumor microenvironment Hodgkin lymphoma systems immunology Introduction Classic Hodgkin lymphoma (cHL) is a B cell lymphoid malignancy that most frequently occurs in young adults and less commonly in the elderly.1 The cHL tumor microenvironment (TME) has unique features, including rare malignant Hodgkin and Reed-Sternberg (HRS) multinucleated cells (comprising 1%–5% of the cHL TME cell composition) nested...
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Epstein-Barr Virus Orchestrates Spatial Reorganization and Immunomodulation within the Classic Hodgkin Lymphoma Tumor Microenvironment

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By Yao Yu Yeo, Huaying Qiu, Yunhao Bai, Bokai Zhu
| BioRxiv
Abstract Classic Hodgkin Lymphoma (cHL) is a tumor composed of rare malignant Hodgkin and Reed-Sternberg (HRS) cells nested within a T-cell rich inflammatory immune infiltrate. cHL is associated with Epstein-Barr Virus (EBV) in ~25% of cases. The specific contributions of EBV to the pathogenesis of cHL remain largely unknown, in part due to technical barriers in dissecting the tumor microenvironment (TME) in high detail.
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MAPS: Pathologist-level cell type annotation from tissue images through machine learning

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By Muhammad Shaban, Yunhao Bai, Huaying Qiu, Shulin Mao
| BioRxiv
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