Single-cell transcriptomics revealed immunological and molecular profiling of pangolin viruses at the viral interface
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Xin-Ni Yang,
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Pan-Yu Chen,
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Yun-Lin He,
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Xing-Rao Li,
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Yong-Jian Zhou,
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Jian-Yu Cao,
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Xuan-Yu Pan,
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Hong Qiu,
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Zhi-Ning Zhang,
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Mei-Hong He,
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Ying-Jiao Li,
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Jing Qin,
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Li-Ling Liu,
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Yu-Xiao He,
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Jian-Ping Zhou,
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Xue-Ning He,
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Nada M.A. Hassan,
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Teng-Cheng Que,
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Yan-Ling Hu
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Abstract
Pangolins have been identified as potential intermediate hosts for various viruses, including coronaviruses related to SARS-CoV-2 and MERS-CoV, yet the cellular mechanisms underlying their viral susceptibility remain poorly understood. Here, we establish the first comprehensive single-cell transcriptomic atlas for two pangolin species Manis pentadactyla and Manis javanica, generated through single-cell RNA sequencing (scRNA-seq) of 245 618 high-quality cells from 12 major tissues, combined with 123 bulk transcriptome datasets. This resource is integrated with cross-species data from Homo sapiens, Eptesicus fuscus, Sus scrofa, Mus musculus, and Panthera tigris. Our analysis reveals a myeloid-biased hematopoiesis in pangolin bone marrow, dominated by monocytes and T cells, which contrasts sharply with the lymphoid-skewed composition observed in H. sapiens and M. musculus. We also identify species-specific features, including thyroid-specific expression of FKBP5 in M. pentadactyla, and MIF -signaling-mediated cellular interactions in intestinal lymph. Furthermore, key viral receptors (AXL, NRP1, DPP4, ACE2, SCARB1, and UVRAG) are broadly expressed in immune cells (e.g., B cells, T cells, and macrophages), fibroblasts, and endothelial cells across tissues, as confirmed by single-cell and bulk transcriptomic analyses. Cross-species comparisons reveal fundamental differences in splenic immune architecture, hematopoietic lineage distribution, and viral receptor expression. Together, these findings based on single-cell transcriptomic profiling establish a molecular and cellular framework for understanding pangolins as potential mixing vessels for viruses and provide a foundation for the targeted surveillance of emerging zoonotic pathogens.
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