Author

Sihong Xu

National Institutes for Food and Drug ControlORCID 0000-0002-1899-0781Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Cuidan LiiD· 3 shared Peihan WangiD· 3 shared Bahetibieke TuohetaerbaikeiD· 2 shared Chunlai JiangiD· 2 shared Fei CheniD· 2 shared Haitao NiuiD· 2 shared Liya YueiD· 2 shared Yingjiao JuiD· 2 shared

Activity by Year

2024-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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3 shared papersBioinformatics

Cuidan LiORCID

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3 papers

Recent·Most cited

Comprehensive analysis of macrophages infected with avirulent and virulent Mycobacterium tuberculosis uncovers distinct immune mechanisms and anti-TB effect of treated exosomes

Yang Li, Lingna Lyu, Cuidan Li, Xiuli Zhang, Ying Ju, Ju Zhang, Jie Liu, Liya Yue, Xiangli Zhang, Dandan Lu, Tingting Yang, Peihan Wang, Jie Wang, Xiaotong Wang, Sihong Xu, , Fei Chen

The paper analyzes macrophages infected with avirulent and virulent Mtb and their exosomes, revealing distinct immune mechanisms and the anti-TB effects of treated exosomes.

bioRxiv · Dec 24, 2024 · PreprintBioinformatics

Cost-effective DNA storage with DNA movable type

Chenyang Wang, Di Wei, Zheng Wei, Dongxin Yang, Jing Xing, Yunze Wang, Xiaotong Wang, Pei Wang, Guannan Ma, Xinru Zhang, Haolan Li, Chuan Tang, Pengfei Hou, Jie Wang, Renjun Gao, , Fei Chen

This paper introduces a cost-effective DNA storage system using pre-fabricated DNA movable types that can be reused, reducing storage costs to $122/MB.

Advanced Science · Nov 18, 2024Peer-reviewedBioinformatics

Single-Cell and Spatial Transcriptomic Analyses Deciphering the Three-Layer Architecture of Human Tuberculosis Granulomas

Yu Xia, Jie Wang, Peihan Wang, Xiaoqiang Liu, Cuidan Li, Yingjiao Ju, Sitong Liu, Yujie Dong, Jing Wang, Bahetibieke Tuohetaerbaike, Hao Wen, Wenbao Zhang, Haitao Niu, Sihong Xu, Chunlai Jiang, , Fei Chen

This study uses single-cell and spatial transcriptomics to analyze human tuberculosis granulomas, revealing a three-layer structure and identifying potential therapeutic targets.

bioRxiv · Jul 15, 2024 · PreprintMicrobiology