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Ying Xing on Muck Rack

Ying Xing

As seen in: Nature, Wiley Online Library, arXiv, ScienceDirect, MDPI, ACS Publications, BMC Cancer, BioRxiv, Cell Press, Canadian Journal of Infectious Diseases & Medical Microbiology and
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Articles

The glycolytic enzyme PGAM1 functions as a metabolic–autophagy checkpoint to coordinate growth and stress tolerance

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By Yi Zhang, Pengwei Zhao, Zhaojie Liu, Shuling Dong, Yingcong Chen, Weijing Yao, Yuting Chen, Lei Zhang, Yibin Pan, Qi Lin, Shichao Wang, Jinheng Pan, Mingzhu Fan, Shan Feng, Cheng Ma, Lifeng Pan, Ying Xing, Fan Yang, Shuiping Liu, Du Feng, Qiming Sun, Guixin Zhu, Cong Yi, Hangfei Liang, Zhonglan Shi, Fanghong Zheng
| Nature Verified
Abstract Cell survival requires tight coordination between growth-promoting metabolism and cellular quality-control pathways, yet how these processes are integrated remains unclear. Here we identify the conserved glycolytic enzyme PGAM1 as a metabolic-autophagy checkpoint that links glycolysis to autophagy initiation independently of its catalytic activity.
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Effects of Environmental Arsenic Exposure on the Morphology of Multiple Organs in Female Mice During Pre-Pregnancy, Gestation, and Lactation

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By Ying Xing, Shu Liu, Wenchao Liu
| Wiley Online Library Verified
Ying Xing and Shu Liu are equal contributors to this work. , , , , , and . 2026. “Effects of Environmental Arsenic Exposure on the Morphology of Multiple Organs in Female Mice During Pre-Pregnancy, Gestation, and Lactation.” Journal of Applied Toxicology1–16. https://doi.org/10.1002/jat.70305. Conflicts of Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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A Prior-Knowledge-Guided Feature Selection Method and Its Application to Biomarker Identification of Schizophrenia

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By Ying Xing
| Texas Medical Center
Faculty, Staff and Student Publications Publication Date 1-1-2025 Journal Network Neuroscience PubMedCentral® Posted Date 11-20-2025 PubMedCentral® Full Text Version Post-print Abstract Despite considerable efforts to uncover the neural basis of psychiatric disorders using neuroimaging, few methods utilize intrinsic brain-derived knowledge, leading to limited specificity and discriminability in biomarker identification.
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