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YIHAN CHEN

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Articles

Single-cell transcriptomics uncovers endothelial progenitor-like remodelling driving human coronary atherosclerosis progression

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By Fang Yao, Fangzhou Li, Shujie Gai, Yinan Chen, Fei Liu, Xingzhong Zhang, Jun Li, Lin Mao, Liliang Guo, Kun Xing, Juan Huang, Shufang Fu, Yang Sun, Jinhua Chen, Heng Zhang, YIHAN CHEN, Bingying Zhou, Li Wang, Zhe Zheng
| Nature Verified
Abstract Coronary atherosclerosis underlies life-threatening conditions such as myocardial infarction and stroke, yet its cellular dynamics remain incompletely understood. Here, through single-cell RNA sequencing of 27,941 cells from 56 human coronary segments, we constructed a disease-stage-resolved cellular atlas, revealing pathological remodelling of endothelial cells (ECs) into a progenitor-like state (EC5SLCO4A1+) with low expression of canonical EC dysfunction signatures.
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Multicellular ecosystems: Linking cellular diversity to tissue function and disease

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By Qiang Shi, Fei Tang, YIHAN CHEN, Zemin Zhang
| Cell Press Verified
Keywords multicellular coordination single-cell and spatial genomics cellular census computational frameworks translational systems medicine From cellular catalogs to multicellular ecosystems Tissues and organs of multicellular organisms exhibit emergent functions that far exceed the capabilities of any individual cell type.
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Cost-effective, open-source, automated apparatus for testing transitive inference in mice

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By YIHAN CHEN, Vic Chiang, Kaori Takehara-Nishiuchi, Silvia Margarian, Jumana Waheed, Parham Rezaeimanesh
| Nature Verified
Abstract Transitive inference is a form of reasoning that relies on prior knowledge and benefits survival in diverse species. While initially designed for humans, the transitive inference task has been adapted for mice, allowing for integration with various state-of-the-art manipulation and monitoring tools for mechanistic investigations. Existing paradigms, however, rely on manually presented stimuli, making them time-consuming, labor-intensive, and error-prone.
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