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Yingchao Liu on Muck Rack

Yingchao Liu

As seen in: Nature, Wiley Online Library, MDPI, ACS Publications, Royal Society of Chemistry, BioRxiv, Dove Medical Press, PeerJ, Optica, Chemistry World
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Articles

Dual-Function SPR-PCF for High-Sensitivity RI Sensing and Tunable Ultrabroadband Polarization Filtering

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By Yujun Wang, Junjun Wu, Yingchao Liu
| Wiley Online Library Verified
Data Availability Statement The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. References 1, “Surface Plasmon Resonance Optical Fiber Sensor for Relative Humidity Detection Without Temperature Crosstalk,” Optics & Laser Technology 150 (2022): 107951. 2, “A Low Refractive Index Microstructured Fiber Sensor With Wide Range Detection,” Plasmonics 19 (2024): 327–334.
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RUNX2 drives adenoma-to-carcinoma transition in colon cancer

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By Jin Wu Verified, Kaiyu Shen, Qi Tang, Fan Dong, Junhao Wu, Xijin Wu, Jiayi He, Zhenhui Zhang, Jie Liu, Jieya Chen, Yingzi Hu, Ping Ling, Yu Song, Xia Liu, Huiying Fu, Yingchao Liu, Zhouyue Gu, Yanxuan Hu, Morong Wu
| Nature Verified
Abstract Colon adenocarcinoma (COAD), the most common subtype of colon cancer, often arises from adenomas. However, the mechanisms driving the adenoma-to-adenocarcinoma transition remain unclear, hindering early intervention and treatment. Single-cell RNA sequencing revealed that CD8+ exhausted T cells (Tex) were significantly enriched in adenoma and carcinoma tissues compared to adjacent normal tissues.
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Downfield magnetic resonance signals serve as endogenous imaging biomarkers of nucleotide metabolism in glioma - Communications Biology

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By Xinyi Zhu, Ke Zhou, Yang Cao, Jiaqiang Zhou, Yingchao Liu, Yibo Liu, Sheng Chen, Min Wang
| Nature Verified
Abstract Gliomas, the most common primary brain tumors, exhibit profound metabolic alterations that can be non-invasively probed using magnetic resonance spectroscopy (MRS). Compared to upfield signals in traditional MRS, downfield signals exhibit complex composition with limited understanding of their metabolite origins. Correlating high-throughput metabolic profiles provided by untargeted metabolomics with MRS signals can help elucidate the origins of metabolites in MRS.
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