Zobrazeno 1 - 10
of 360
pro vyhledávání: '"Gang XIN"'
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Albumin-based indices have been used to predict mortality after heart failure (HF). We hereby examined the utility of albumin-globin ratio, lactate-albumin ratio, blood urea nitrogen (BUN)-albumin ratio, fibrinogen-albumin ratio,
Externí odkaz:
https://doaj.org/article/bcb81cbc6d284a55b8c9e33427eae11d
Autor:
Jianwen Chen, Bao Zhao, Hong Dong, Tianliang Li, Xiang Cheng, Wang Gong, Jing Wang, Junran Zhang, Gang Xin, Yanbao Yu, Yu L Lei, Jennifer D Black, Zihai Li, Haitao Wen
Publikováno v:
eLife, Vol 13 (2024)
The O-GlcNAc transferase (OGT) is an essential enzyme that mediates protein O-GlcNAcylation, a unique form of posttranslational modification of many nuclear and cytosolic proteins. Recent studies observed increased OGT and O-GlcNAcylation levels in a
Externí odkaz:
https://doaj.org/article/e8c076eebdab41c1be6de9e8394316f4
Autor:
Xiaoying Wang, Maoteng Duan, Jingxian Li, Anjun Ma, Gang Xin, Dong Xu, Zihai Li, Bingqiang Liu, Qin Ma
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract Rare cell populations are key in neoplastic progression and therapeutic response, offering potential intervention targets. However, their computational identification and analysis often lag behind major cell types. To fill this gap, we intro
Externí odkaz:
https://doaj.org/article/65356025a01e4df8b30bca9b8c924629
Publikováno v:
CT Lilun yu yingyong yanjiu, Vol 32, Iss 4, Pp 545-552 (2023)
Objective: To explore the film printing technology for displaying the true size of costal cartilage on medical film. Methods: The CT images of costal cartilage of 31 patients were selected and processed 14×17 inches (35×43 cm), calculate the main i
Externí odkaz:
https://doaj.org/article/2b7b16180bfa410eb3a0099fe6f5746e
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 11, Iss Suppl 1 (2023)
Externí odkaz:
https://doaj.org/article/09aaa3e5a8f94cea8e8deca2d257eed6
Autor:
Kaitlin A. Read, Devin M. Jones, Srijana Pokhrel, Emily D. S. Hales, Aditi Varkey, Jasmine A. Tuazon, Caprice D. Eisele, Omar Abdouni, Abbey Saadey, Melissa R. Leonard, Robert T. Warren, Michael D. Powell, Jeremy M. Boss, Emily A. Hemann, Jacob S. Yount, Gang Xin, Hazem E. Ghoneim, Chan-Wang J. Lio, Aharon G. Freud, Patrick L. Collins, Kenneth J. Oestreich
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-18 (2023)
The regulation and direction of CD4+ T cells into phenotypic and functional lineages is coordinated by a complex set of mechanisms. Here the authors show a role for Aiolos as a regulator of the CD4+ cytotoxic and T follicular helper lineages.
Externí odkaz:
https://doaj.org/article/db3616878fde4edbb2df4e62fd0817bd
Autor:
Anjun Ma, Xiaoying Wang, Jingxian Li, Cankun Wang, Tong Xiao, Yuntao Liu, Hao Cheng, Juexin Wang, Yang Li, Yuzhou Chang, Jinpu Li, Duolin Wang, Yuexu Jiang, Li Su, Gang Xin, Shaopeng Gu, Zihai Li, Bingqiang Liu, Dong Xu, Qin Ma
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-18 (2023)
Single-cell multi-omics and deep learning could lead to the inference of biological networks across specific cell types. Here, the authors develop DeepMAPS, a deep learning, graph-based approach for cell-type specific network inference from single-ce
Externí odkaz:
https://doaj.org/article/1a148a7ce6274ae9bdb44a249d63b34b
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-5 (2022)
Single-cell multi-omics (scMulti-omics) has brought transformative insights into immuno-oncology, demonstrating success in describing novel immune subsets and defining important regulators of antitumor immunity. Here, we give examples of how scMulti-
Externí odkaz:
https://doaj.org/article/ed13ffe732524069b1a534d566072dbb
Autor:
Linxiang Huang, Zihua Li, Zeting Huang, Weijie Zhan, Xiaoqing Huang, Haijie Xu, Chibin Cheng, Yingying Zheng, Gang Xin, Shaoyan Zheng, Pi Guo
Publikováno v:
BMC Medical Education, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background To validate a competency-based assessment scale for students majoring in clinical medicine, ASK-SEAT. Students’ competency growth across grade years was also examined for trends and gaps. Methods Questionnaires were distributed
Externí odkaz:
https://doaj.org/article/79038f8684d4431aad5889cd16b8cb44
Publikováno v:
IEEE Access, Vol 10, Pp 80485-80494 (2022)
The traditional physical layer key generation technology uses channel temporal variation, reciprocity, and spatial decorrelation to realize key distribution and fast update. However, due to the complex, time-varying and time-delayed features, the und
Externí odkaz:
https://doaj.org/article/89e73f86109f4947a2f2ef60ddba4ed1