3篇
您的检索式：作者名="Yucong Bai"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Single-cell transcriptome atlas reveals spatiotemporal developmental trajectories in the basal roots of moso bamboo (Phyllostachys edulis)显示文摘Roots are essential for plant growth and development.Bamboo is a large Poaceae perennial with 1642 species worldwide.However,little is known about the transcriptional atlas that underpins root cell-type differentiation.Here,we set up a modified protocol for protoplast preparation and report single-cell transcriptomes of 14279 filtered single cells derived from the basal root tips of moso bamboo.We identified four cell types and defined new cell-type-specific marker genes for the basal root.We reconstructed the developmental trajectories of the root cap,epidermis,and ground tissues and elucidated critical factors regulating cell fate determination.According to in situ hybridization and pseudotime trajectory analysis,the root cap and epidermis originated from a common initial cell lineage,revealing the particularity of bamboo basal root development.We further identified key regulatory factors for the differentiation of these cells and indicated divergent root developmental pathways between moso bamboo and rice.Additionally,PheWOX13a and PheWOX13b ectopically expressed in Arabidopsis inhibited primary root and lateral root growth and regulated the growth and development of the root cap,which was different from WOX13 orthologs in Arabidopsis.Taken together,our results offer an important resource for investigating the mechanism of root cell differentiation and root system architecture in perennial woody species of Bambusoideae. | Zhanchao Cheng Changhong Mu Xiangyu Li Wenlong Cheng Miaomiao Cai Chongyang Wu Jutang Jiang Hui Fang Yucong Bai Huifang Zheng Ruiman Geng Junlei Xu Yali Xie Yuping Dou Juan Li Shaohua Mu Jian Gao | 2023 | Horticulture Research2023，10，8： | 0 |
| 2 | O-alg-THAM/gel hydrogels functionalized with engineered microspheres based on mesenchymal stem cell secretion recruit endogenous stem cells for cartilage repair显示文摘Lacking self-repair abilities,injuries to articular cartilage can lead to cartilage degeneration and ultimately result in osteoarthritis.Tissue engineering based on functional bioactive scaffolds are emerging as promising approaches for articular cartilage regeneration and repair.Although the use of cell-laden scaffolds prior to implantation can regenerate and repair cartilage lesions to some extent,these approaches are still restricted by limited cell sources,excessive costs,risks of disease transmission and complex manufacturing practices.Acellular approaches through the recruitment of endogenous cells offer great promise for in situ articular cartilage regeneration.In this study,we propose an endogenous stem cell recruitment strategy for cartilage repair.Based on an injectable,adhesive and self-healable o-alg-THAM/gel hydrogel system as scaffolds and a biophysio-enhanced bioactive microspheres engineered based on hBMSCs secretion during chondrogenic differentiation as bioactive supplement,the as proposed functional material effectively and specifically recruit endogenous stem cells for cartilage repair,providing new insights into in situ articular cartilage regeneration. | Yucong Li Linlong Li Ming Wang Boguang Yang Baozhen Huang Shanshan Bai Xiaoting Zhang Nan Hou Haixing Wang Zhengmeng Yang Chong Tang Ye Li Wayne Yuk-Wai Lee Lu Feng Micky D.Tortorella Gang Li | 2023 | Bioactive Materials2023，，10： | 0 |
| 3 | Expert recommendation on collection,storage,annotation,and management of data related to medical artificial intelligence显示文摘Medical artificial intelligence(AI)and big data technology have rapidly advanced in recent years,and they are now routinely used for image-based diagnosis.China has a massive amount of medical data.However,a uniform criteria for medical data quality have yet to be established.Therefore,this review aimed to develop a standardized and detailed set of quality criteria for medical data collection,storage,annotation,and management related to medical AI.This would greatly improve the process of medical data resource sharing and the use of AI in clinical medicine. | Yahan Yang Ruiyang Li Yifan Xiang Duoru Lin Anqi Yan Wenben Chen Zhongwen Li Weiyi Lai Xiaohang Wu Cheng Wan Wei Bai Xiucheng Huang Qiang Li Wenrui Deng Xiyang Liu Yucong Lin Pisong Yan Haotian Lin Chinese Association of Artificial Intelligence Medical Artificial Intelligence Branch of Guangdong Medical Association | 2023 | Intelligent Medicine2023，3，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员