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Huiying Wang

As seen in: Color Research & Application, Nature, Wiley Online Library, Frontiers, MDPI, Taylor & Francis Online, ACS Publications, JAMA (The Journal of the American Medical Association), Royal Society of Chemistry, Canadian Journal of Infectious Diseases & Medical Microbiology and
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Articles

Staged Synergy of Spatially Coupled Brønsted and Ga Lewis Acid Sites on Ga-doped HY Zeolite for Cascade Conversion of Dimethylfuran to para -Xylene Click to copy article link Article link copied!

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By Huiying Wang, Ruichen Liu, Wenjun Zhang
| ACS Publications
Cite Jump to ExpandCollapse Research ArticleJuly 19, 2026 Staged Synergy of Spatially Coupled Brønsted and Ga Lewis Acid Sites on Ga-doped HY Zeolite for Cascade Conversion of Dimethylfuran to para-Xylene Click to copy article linkArticle link copied! Huiying Wang Huiying Wang Key Laboratory for Green Chemical Technology of Ministry of Education, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, P. R.
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Establishment of comparative transcriptome dataset related to nitrogen use efficiency in melon

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By Yong Zhao, Jingjing Cheng, Ningning Gao, Xiaohui Li, Hailun Li, Huiying Wang, Gaozheng Chang, Ahmed Yousef, Dongdong Li, Weixing Zhao, Liyun Kang, Fikru Tamiru Kenea
| Nature Verified
Abstract Nitrogen use efficiency (NUE) is a key physiological trait influencing yield formation and resource utilization in melon (Cucumis melo var. saccharinus). To elucidate the molecular mechanisms underlying differential NUE among melon cultivars, we performed transcriptome profiling of four inbred lines with contrasting NUE-T514 and T55 (N-efficient) and T213 and T23 (N-inefficient)-grown under high-nitrogen (HN) and low-nitrogen (LN) conditions.
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Accurate profiling of single-cell alternative transcript start sites by correcting RNA degradation

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By Zijie Xu, Zhen Zhou, Chao Tang, Yating Zhang, Yiming Zhang, Li Chen, Dan Zhang, Junwei Song, Defu Liu, Huiying Wang, Zhifeng He, Tingfeng Chen, Jing-wen Lin, LU CHEN, Xiuran Zheng
| Nature Verified
Abstract The generation of transcript variants via alternative utilisation of transcription start sites (TSSs) is a pivotal regulatory mechanism in physiological and pathological states. Recent advancements in 5’ single-cell RNA sequencing (scRNA-seq) have enabled TSS analysis at the single-cell level. However, RNA degradation leads to non-uniform read coverage, posing a critical challenge that significantly compromises accurate TSS quantification of scRNA-seq data.
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