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2篇 您的检索式：作者名="Chengxuan Yu"

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		题名	作者	年代	出处	被引量
	1	In vivo real-time monitoring delayed administration of M2 macrophages to enhance healing of tendon by NIR-II fluorescence imaging显示文摘The administration time is a critical but long-neglected point in cell therapy based on macrophages because the incorrect time of macrophage administration could result in diverse outcomes regarding the same macrophage therapy.In this work,the second near-infrared(NIR-II)fluorescence imaging in vivo tracking of M2 macrophages during a pro-healing therapy in the mice model of rotator cuff injury revealed that the behavior of administrated macrophages was influenced by the timing of their administration.The delayed cell therapy(DCT)group had a longer retention time of injected M2 macrophages in the repairing tissue than that in the immediate cell therapy(ICT)group.Both Keller-Segel model and histological analysis further demonstrated that DCT altered the chemotaxis of M2 macrophages and improved the healing outcome of the repaired structure in comparison with ICT.Our results offer a possible explanation of previous conflicting results on reparative cell therapy and provoke reconsideration of the timing of these therapies.	Yuzhou Chen Mo Chen Chengxuan Yu Huizhu Li Liman Sai Nguyen T.K.Thanh Yueming Wang Yan Wo Jian Zhang Xing Yang Evgenii L.Guryev Andrei V.Zvyagin Hao De Min Tang Shiyi Chen Yunxia Li Yuefeng Hao Sijia Feng Jun Chen	2024	Nano Research2024，17，5：	0
	2	Comparison of Scanpy-based algorithms to remove the batch effect from single-cell RNA-seq data显示文摘With the development of single-cell RNA sequencing(scRNA-seq)technology,analysts need to integrate hundreds of thousands of cells with multiple experimental batches.It is becoming increasingly difficult for users to select the best integration methods to remove batch effects.Here,we compared the advantages and limitations of four commonly used Scanpy-based batch-correction methods using two representative and large-scale scRNA-seq datasets.We quantitatively evaluated batch-correction performance and efficiency.Furthermore,we discussed the performance differences among the evaluated methods at the algorithm level.	Jiaqi Li Chengxuan Yu Lifeng Ma Jingjing Wang Guoji Guo	2020	Cell Regeneration2020，9，1：	0

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