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4 results on '"Yuanci Zhang"'

1. The current role of dendritic cells in the progression and treatment of colorectal cancer

Author

Yuanci Zhang, Songtao Ji, Ge Miao, Shuya Du, Haojia Wang, Xiaohua Yang, Ang Li, Yuanyuan Lu, Xin Wang, and Xiaodi Zhao

Subjects
colorectal cancer, dendritic cells, tumor progression, treatment strategies, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Colorectal cancer (CRC) is the third most common cancer and the second leading cause of cancer-related deaths worldwide. Dendritic cells (DCs) constitute a heterogeneous group of antigen-presenting cells that are important for initiating and regulating both innate and adaptive immune responses. As a crucial component of the immune system, DCs have a pivotal role in the pathogenesis and clinical treatment of CRC. DCs cross-present tumor-related antigens to activate T cells and trigger an antitumor immune response. However, the antitumor immune function of DCs is impaired and immune tolerance is promoted due to the presence of the tumor microenvironment. This review systematically elucidates the specific characteristics and functions of different DC subsets, as well as the role that DCs play in the immune response and tolerance within the CRC microenvironment. Moreover, how DCs contribute to the progression of CRC and potential therapies to enhance antitumor immunity on the basis of existing data are also discussed, which will provide new perspectives and approaches for immunotherapy in patients with CRC.

Published
2024
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2. Modeling Cystic Fibrosis (CF) with Induced Pluripotent Stem Cells

Author

Thorsten M. Schlaeger, C. Villacorte Martin, M. Beerman, Yuanci Zhang, Andras Rab, Y. Tang, Finn Hawkins, P. Agrawal, Eric J. Sorscher, G. Daley, Cheol Woong Kim, Darrell N. Kotton, Shingo Suzuki, Brian R. Davis, Chantelle Simone-Roach, Andrew Berical, and Ruxi Wang

Subjects
business.industry, Cancer research, medicine, medicine.disease, Induced pluripotent stem cell, business, Cystic fibrosis
Published
2020

3. Impact of temperature on calendar ageing of Lithium-ion battery using incremental capacity analysis

Author

Olivier Briat, Jean-Yves Deletage, Jean-Michel Vinassa, Matthieu Maures, Yuanci Zhang, Cyril Martin, Fiabilité / Puissance, Laboratoire de l'intégration, du matériau au système (IMS), and Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)

Subjects
Battery (electricity), Materials science, Nuclear engineering, chemistry.chemical_element, 02 engineering and technology, Conductivity, 01 natural sciences, 7. Clean energy, Lithium-ion battery, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality, ComputingMilieux_MISCELLANEOUS, 010302 applied physics, 020208 electrical & electronic engineering, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Surfaces, Coatings and Films, Electronic, Optical and Magnetic Materials, State of charge, chemistry, Power cycling, Degradation (geology), Lithium, Voltage
Abstract

In this paper, a calendar ageing model featuring time and temperature dependence of a Lithium-ion battery is proposed. The ageing procedure is done at a high state of charge (SoC) of 95% and the tested temperatures range from −20 °C to 55 °C. Electrochemical methods such as incremental capacity analysis (ICA) and differential voltage analysis (DVA) are used to quantify the evolution of the most important degradation modes such as conductivity loss (CL), loss of active material (LAM) and loss of lithium inventory (LLI). While the quantification methods used here are extracted from previous power cycling studies, their validity on calendar ageing data is verified, and a model of each degradation mode evolution versus time including temperature parametrization is proposed.

Published
2019

4. Performance quantification of last generation Li-ion batteries in wide temperature range

Author

Yuanci Zhang, Olivier Briat, Cyril MARTIN, Jean-Yves Delétage, Guillaume Gager, Jean-Michel Vinassa, Briat, Olivier, IRT Saint Exupéry - Institut de Recherche Technologique, Fiabilité / Puissance, Laboratoire de l'intégration, du matériau au système (IMS), Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), and IRT Saint-Exupéry

Subjects
[SPI.NRJ]Engineering Sciences [physics]/Electric power, ComputingMilieux_MISCELLANEOUS, [SPI.TRON] Engineering Sciences [physics]/Electronics, [SPI.TRON]Engineering Sciences [physics]/Electronics, [SPI.NRJ] Engineering Sciences [physics]/Electric power
Abstract

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