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Xiaoying He on Muck Rack

Xiaoying He

As seen in: Nature, Frontiers, MDPI, Royal Society of Chemistry, Canadian Journal of Infectious Diseases & Medical Microbiology
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Articles

Noninvasive PPROM risk stratification with explainable AI using routine antenatal CRP and albumin

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By Sihan Wu, Shengnan Wu, Yicheng Zhou, Yamin Li, Hang Su, Shujian Zhang, Yao Xu, Xiaoying He, Yanqiang Han, Liping Jin, Jinjin Li, Zhiyun Wei, Shidong Tan
| Nature Verified
Abstract Premature rupture of membranes (PROM) and preterm PROM (PPROM) are significant obstetric complications, affecting 10–20% and 3% of pregnancies globally and constituting a major cause of preterm birth and neonatal morbidity. While intrauterine infection is a key underlying driver, timely identification of high-risk cases remains a clinical challenge.
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SIRT7-mediated deacetylation of XRCC6 at lysine 591 drives breast cancer progression

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By Jie Yin, Jiaxing Liu, Tang Xiao, Wenjuan Xiang, Xinyue Huang, Sheng Xu, Yong Zhou, Junfeng Liu, Xiaoying He, Yunxiang Wang, Yu Song, Pan Qi, Meirui He, Ruxia Sheng, Haifang Zhao, Ruijuan Heng
| Frontiers
Abstract Rationale: The acetylation level of XRCC6 is significantly decreased in clinical breast cancer tissues compared with paracancerous tissues; however, the relationship between this alteration and the occurrence and development of breast cancer remains unclear. Methods: Acetylproteomics was employed to detect changes in protein acetylation levels in clinical samples.
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Development of Genome-Wide Intron Length Polymorphism (ILP) Markers in Tea Plant (Camellia sinensis) and Related Applications for Genetics Research

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By Yuan Shen, Xiaoying He, Feng Zu, Xiaoxia Huang
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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