Search

Your search keyword '"Luo, Jian-Hua"' showing total 395 results
Start Over Author "Luo, Jian-Hua"
395 results on '"Luo, Jian-Hua"'

2. Effects of the circulating environment of COVID-19 on platelet and neutrophil behavior

Author

Fields, Alexander T, Andraska, Elizabeth A, Kaltenmeier, Christof, Matthay, Zachary A, Herrera, Kimberly, Nuñez-Garcia, Brenda, Jones, Chayse M, Wick, Katherine D, Liu, Silvia, Luo, Jian-Hua, Yu, Yan-Ping, Matthay, Michael A, Hendrickson, Carolyn M, Bainton, Roland J, Barrett, Tessa J, Berger, Jeffrey S, Neal, Matthew D, Kornblith, Lucy Z, Group, the COVID-19 Associated Coagulopathy Inflammation and Thrombosis Study, Ambachew, , Biniam, Cary, , Sarah, Chalwell, , Lauren, Colwell, , Christopher, Josephy, , Clayton, Lee, , Deanna, LeGrand, , Matthieu, Montoy, , Juan Carlos, Kornblith, , Aaron E, Kurien, , Philip, Nunez-Garcia, , Brenda, Nguyen, , Viet, Park, , John J, Prakash, , Arun, Robinson, , Brittany, and Shelley, India

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Clinical Sciences, Clinical Research, Hematology, Cardiovascular, Good Health and Well Being, Humans, Blood Platelets, Neutrophils, COVID-19, Thromboplastin, Collagen, blood platelets, neutrophil extracellular traps, thromboinflammation, plasma, Immunology, Medical Microbiology, Biochemistry and cell biology, Genetics
Abstract

IntroductionThromboinflammatory complications are well described sequalae of Coronavirus Disease 2019 (COVID-19), and there is evidence of both hyperreactive platelet and inflammatory neutrophil biology that contributes to the thromoinflammatory milieu. It has been demonstrated in other thromboinflammatory diseases that the circulating environment may affect cellular behavior, but what role this environment exerts on platelets and neutrophils in COVID-19 remains unknown. We tested the hypotheses that 1) plasma from COVID-19 patients can induce a prothrombotic platelet functional phenotype, and 2) contents released from platelets (platelet releasate) from COVID-19 patients can induce a proinflammatory neutrophil phenotype.MethodsWe treated platelets with COVID-19 patient and disease control plasma, and measured their aggregation response to collagen and adhesion in a microfluidic parallel plate flow chamber coated with collagen and thromboplastin. We exposed healthy neutrophils to platelet releasate from COVID-19 patients and disease controls and measured neutrophil extracellular trap formation and performed RNA sequencing.ResultsWe found that COVID-19 patient plasma promoted auto-aggregation, thereby reducing response to further stimulation ex-vivo. Neither disease condition increased the number of platelets adhered to a collagen and thromboplastin coated parallel plate flow chamber, but both markedly reduced platelet size. COVID-19 patient platelet releasate increased myeloperoxidasedeoxyribonucleic acid complexes and induced changes to neutrophil gene expression.DiscussionTogether these results suggest aspects of the soluble environment circulating platelets, and that the contents released from those neutrophil behavior independent of direct cellular contact.

Published
2023

6. Risk Assessment of Sea Navigation of Amphibious Vehicles Based on Bayesian Network

Author

Luo, Jian-hua, Song, Chao, Jia, Yi-zhuo, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Atiquzzaman, Mohammed, editor, Yen, Neil, editor, and Xu, Zheng, editor

Published
2021
Full Text
View/download PDF

11. Pten-NOLC1 fusion promotes cancers involving MET and EGFR signalings

Author

Luo, Jian-Hua, Liu, Silvia, Tao, Junyan, Ren, Bao-Guo, Luo, Katherine, Chen, Zhang-Hui, Nalesnik, Michael, Cieply, Kathleen, Ma, Tianzhou, Cheng, Shi-Yuan, Chen, Qi, Michalopoulos, George K., Nelson, Joel B., Bhargava, Rohit, Zhang, Jun, Ma, Deqin, Jarrard, David, Pennathur, Arjun, Luketich, James D., DeFranco, Donald B., Monga, Satdarshan Paul, Tseng, George, and Yu, Yan-Ping

Published
2021
Full Text
View/download PDF

16. Modular co-evolution of metabolic networks

Author

Zhao, Jing, Ding, Guo-Hui, Tao, Lin, Yu, Hong, Yu, Zhong-Hao, Luo, Jian-Hua, Cao, Zhi-Wei, and Li, Yi-Xue

Subjects
Quantitative Biology - Molecular Networks
Abstract

The architecture of biological networks has been reported to exhibit high level of modularity, and to some extent, topological modules of networks overlap with known functional modules. However, how the modular topology of the molecular network affects the evolution of its member proteins remains unclear. In this work, the functional and evolutionary modularity of Homo sapiens (H. sapiens) metabolic network were investigated from a topological point of view. Network decomposition shows that the metabolic network is organized in a highly modular core-periphery way, in which the core modules are tightly linked together and perform basic metabolism functions, whereas the periphery modules only interact with few modules and accomplish relatively independent and specialized functions. Moreover, over half of the modules exhibit co-evolutionary feature and belong to specific evolutionary ages. Peripheral modules tend to evolve more cohesively and faster than core modules do. The correlation between functional, evolutionary and topological modularity suggests that the evolutionary history and functional requirements of metabolic systems have been imprinted in the architecture of metabolic networks. Such systems level analysis could demonstrate how the evolution of genes may be placed in a genome-scale network context, giving a novel perspective on molecular evolution., Comment: 26 pages, 7 figures

Published
2007

17. The effects of degree correlations on network topologies and robustness

Author

Zhao, Jing, Tao, Lin, Yu, Hong, Luo, Jian-Hua, Cao, Zhi-Wei, and Li, Yi-Xue

Subjects
Physics - Physics and Society, Physics - Data Analysis, Statistics and Probability
Abstract

Complex networks have been applied to model numerous interactive nonlinear systems in the real world. Knowledge about network topology is crucial for understanding the function, performance and evolution of complex systems. In the last few years, many network metrics and models have been proposed to illuminate the network topology, dynamics and evolution. Since these network metrics and models derive from a wide range of studies, a systematic study is required to investigate the correlations between them. The present paper explores the effect of degree correlation on the other network metrics through studying an ensemble of graphs where the degree sequence (set of degrees) is fixed. We show that to some extent, the characteristic path length, clustering coefficient, modular extent and robustness of networks are directly influenced by the degree correlation., Comment: 13 pages, 6 figures

Published
2006
Full Text
View/download PDF

18. Hierarchical modularity of nested bow-ties in metabolic networks

Author

Zhao, Jing, Yu, Hong, Luo, Jian-Hua, Cao, Zhi-Wei, and Li, Yi-Xue

Subjects
Quantitative Biology - Molecular Networks
Abstract

The exploration of the structural topology and the organizing principles of genome-based large-scale metabolic networks is essential for studying possible relations between structure and functionality of metabolic networks. Topological analysis of graph models has often been applied to study the structural characteristics of complex metabolic networks.In this work, metabolic networks of 75 organisms were investigated from a topological point of view. Network decomposition of three microbes (Escherichia coli, Aeropyrum pernix and Saccharomyces cerevisiae) shows that almost all of the sub-networks exhibit a highly modularized bow-tie topological pattern similar to that of the global metabolic networks. Moreover, these small bow-ties are hierarchically nested into larger ones and collectively integrated into a large metabolic network, and important features of this modularity are not observed in the random shuffled network. In addition, such a bow-tie pattern appears to be present in certain chemically isolated functional modules and spatially separated modules including carbohydrate metabolism, cytosol and mitochondrion respectively. The highly modularized bow-tie pattern is present at different levels and scales, and in different chemical and spatial modules of metabolic networks, which is likely the result of the evolutionary process rather than a random accident. Identification and analysis of such a pattern is helpful for understanding the design principles and facilitate the modelling of metabolic networks., Comment: 26 pages, 9 figures

Published
2006

30. Long-read single-cell sequencing reveals expressions of hypermutation clusters of isoforms in human liver cancer cells

Author

Liu, Silvia, Yu, Yan-Ping, Ren, Bao-Guo, Ben-Yehezkel, Tuval, Obert, Caroline, Smith, Mat, Wang, Wenjia, Ostrowska, Alina, Soto-Gutierrez, Alejandro, and Luo, Jian-Hua

Subjects
Article
Abstract

The protein diversity of mammalian cells is determined by arrays of isoforms from genes. Protein mutation is essential in species evolution and cancer development. Accurate Long-read transcriptome sequencing at single-cell level is required to decipher the spectrum of protein expressions in mammalian organisms. In this report, we developed a synthetic long-read single-cell sequencing technology based on LOOPseq technique. We applied this technology to analyze 447 transcriptomes of hepatocellular carcinoma (HCC) and benign liver from an individual. Through Uniform Manifold Approximation and Projection (UMAP) analysis, we identified a panel of mutation mRNA isoforms highly specific to HCC cells. The evolution pathways that led to the hyper-mutation clusters in single human leukocyte antigen (HLA) molecules were identified. Novel fusion transcripts were detected. The combination of gene expressions, fusion gene transcripts, and mutation gene expressions significantly improved the classification of liver cancer cells versus benign hepatocytes. In conclusion, LOOPseq single-cell technology may hold promise to provide a new level of precision analysis on the mammalian transcriptome.

Published
2023

47. Dynamic expression of SNAI2 in prostate cancer predicts tumor progression and drug sensitivity

Author

Mazzu, Ying Z., primary, Liao, YuRou, additional, Nandakumar, Subhiksha, additional, Sjöström, Martin, additional, Jehane, Lina E., additional, Ghale, Romina, additional, Govindarajan, Barani, additional, Gerke, Travis A., additional, Lee, Gwo‐Shu Mary, additional, Luo, Jian‐Hua, additional, Chinni, Sreenivasa R., additional, Mucci, Lorelei A., additional, Feng, Felix Y., additional, and Kantoff, Philip W., additional

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results