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439 results on '"Hu, Yunlong"'

16. Single-cell morphological and topological atlas reveals the ecosystem diversity of human breast cancer

Author

Shen Zhao, De-Pin Chen, Tong Fu, Jing-Cheng Yang, Ding Ma, Xiu-Zhi Zhu, Xiang-Xue Wang, Yi-Ping Jiao, Xi Jin, Yi Xiao, Wen-Xuan Xiao, Hu-Yunlong Zhang, Hong Lv, Anant Madabhushi, Wen-Tao Yang, Yi-Zhou Jiang, Jun Xu, and Zhi-Ming Shao

Subjects
Science
Abstract

Abstract Digital pathology allows computerized analysis of tumor ecosystem using whole slide images (WSIs). Here, we present single-cell morphological and topological profiling (sc-MTOP) to characterize tumor ecosystem by extracting the features of nuclear morphology and intercellular spatial relationship for individual cells. We construct a single-cell atlas comprising 410 million cells from 637 breast cancer WSIs and dissect the phenotypic diversity within tumor, inflammatory and stroma cells respectively. Spatially-resolved analysis identifies recurrent micro-ecological modules representing locoregional multicellular structures and reveals four breast cancer ecotypes correlating with distinct molecular features and patient prognosis. Further analysis with multiomics data uncovers clinically relevant ecosystem features. High abundance of locally-aggregated inflammatory cells indicates immune-activated tumor microenvironment and favorable immunotherapy response in triple-negative breast cancers. Morphological intratumor heterogeneity of tumor nuclei correlates with cell cycle pathway activation and CDK inhibitors responsiveness in hormone receptor-positive cases. sc-MTOP enables using WSIs to characterize tumor ecosystems at the single-cell level.

Published
2023
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18. Active Disturbance Rejection Control Design for Compound-Wing UAV with Rotor Disturbance

Author

Hu, Yunlong, Yu, Peiyuan, Teng, Bochen, Song, Jia, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Fu, Wenxing, editor, Gu, Mancang, editor, and Niu, Yifeng, editor

Published
2023
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35. Changes in metabolite profiles in solid fermentation of glutamate waste treatment solution by Aspergillus niger and Candida tropicalis.

Author

He, Dan, Zhang, Ying, Liu, Jinxu, Wang, Xiao, Hu, Yunlong, Xu, Weihui, Chen, Wenjing, Fan, Zhenyu, and Wang, Zhigang

Subjects
MONOSODIUM glutamate, SOLID-state fermentation, WASTE treatment, ASPERGILLUS niger, CANDIDA tropicalis
Abstract

Aims Glutamate wastewater poses a great environmental challenge to the monosodium glutamate production industry. However, its treatment solution is rich in crude protein, which has the potential to be developed as a new protein source for animal feed. Methods and results Given that the fermentation process generates functionally different metabolites, this study innovatively utilized two strains of feed microorganisms, Aspergillus niger and Candida tropicalis , to perform solid-state fermentation of glutamate wastewater treatment solution. The aim was to investigate and analyse the metabolite profiles during fermentation. The significant differences in metabolite profiles between the samples were determined using correlation analysis, principal component analysis, orthogonal partial least-squares discriminant analysis, variable importance in projection analysis, Kyoto Encyclopaedia of Genomes, and Human Metabolome Data Bank analysis. These variations were mainly manifested in essential feed components, such as amino acids, peptides, and their analogues. These included Ile–Pro–Asn, Pro–Gly–Val, alanylvaline, histidylisoleucine, Lys–Leu–Tyr, Ile–Arg, glycyl–leucine, leucyl–lysine, N -palmitoyl histidine, alanylisoleucine, l -glutamate, N -methylisoleucine, Isoleucylproline, dl -m-tyrosine, Isoleucyl–threonine, phenylalanine amide, carboxyethyllysine, N 6-acetyl- l -lysine, citrulline, N -alpha-acetyl- l -lysine, N (6)-methyllysine, and l -aspartate-semialdehyde. Conclusions This study investigates the metabolite profiles of glutamate wastewater treatment solutions after co-fermentation with A. niger and C. tropicalis using solid-state fermentation. These findings provide a new strategy for efficiently utilizing glutamate wastewater treatment solutions. [ABSTRACT FROM AUTHOR]

Published
2024
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42. Assessment of plasma cell-free DNA fragmentation for multi-cancer early detection: An independent clinical validation study.

Author

Guo, Wei, primary, Hu, Yunlong, additional, Wang, Wei, additional, Zhou, Yanqing, additional, Yang, Zuoquan, additional, An, Heng, additional, Yang, Qing, additional, Lv, Yanhua, additional, Lu, Chao, additional, Zhang, Xiaoni, additional, Xu, Mingyan, additional, Xia, Yong, additional, Ji, Ling, additional, and Chen, Shifu, additional

Published
2024
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