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165 results on '"Hu, Shunfeng"'

9. Highly Transparent Anti-Smudge Coatings for Self-Cleaning, Controllable Liquid Transport, and Corrosion Resistance.

Author

Xu, Hua, Chen, Chao, Hu, Shunfeng, Chen, Yiqi, Duan, Dengle, Liang, Guowei, and Zhong, Ximing

Subjects
SOLUTION (Chemistry), BACTERIAL contamination, HEXAMETHYLENE diisocyanate, SUBSTRATES (Materials science), SURFACE cleaning
Abstract

Highly transparent anti-smudge coatings are attractive for diverse fields due to their inherent repellency against various contaminants and the ability to keep surfaces clean. In this work, a novel fluorine-free anti-smudge coating system was developed by using poly(dimethysiloxane), tris(hydroxymethyl) aminomethane, and isophorone diisocynate to synthesize a hexa-functional coating precursor and utilizing hexamethylene diisocyanate trimer as a curing agent. The resultant anti-smudge coatings are highly transparent and can be applied to various substrates. These coatings exhibit repellency against water, hexadecane, ink, pump oil, and crude oil and show self-cleaning performance in air and oily environments. Moreover, they display anti-ink ability and can be employed to reduce bacterial contamination. Of note, they can endow substrates with protection against corrosion from strong acids, strong bases, salt solutions, and even aqua regia. The developed coatings also show potential for controllable liquid transport. Moreover, these versatile coatings are mechanically robust, demonstrating tolerance against abrasion, impact, and bending and also exhibiting excellent adhesion to various substrates, indicative of their availability for widespread applications. [ABSTRACT FROM AUTHOR]

Published
2025
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15. N‐acetyltransferase 10 facilitates tumorigenesis of diffuse large B‐cell lymphoma by regulating AMPK/mTOR signalling through N4‐acetylcytidine modification of SLC30A9.

Author

Ding, Mengfei, Yu, Zhuoya, Lu, Tiange, Hu, Shunfeng, Zhou, Xiangxiang, and Wang, Xin

Subjects
GENE silencing, RNA modification & restriction, DIFFUSE large B-cell lymphomas, AMP-activated protein kinases, INHIBITION of cellular proliferation, CELL cycle
Abstract

Background: Accumulating studies suggested that posttranscriptional modifications exert a vital role in the tumorigenesis of diffuse large B‐cell lymphoma (DLBCL). N4‐acetylcytidine (ac4C) modification, catalyzed by the N‐acetyltransferase 10 (NAT10), was a novel type of chemical modification that improves translation efficiency and mRNA stability. Methods: GEO databases and clinical samples were used to explore the expression and clinical value of NAT10 in DLBCL. CRISPER/Cas9‐mediated knockout of NAT10 was performed to determine the biological functions of NAT10 in DLBCL. RNA sequencing, acetylated RNA immunoprecipitation sequencing (acRIP‐seq), LC‐MS/MS, RNA immunoprecipitation (RIP)‐qPCR and RNA stability assays were performed to explore the mechanism by which NAT10 contributed to DLBCL progression. Results: Here, we demonstrated that NAT10‐mediated ac4C modification regulated the occurrence and progression of DLBCL. Dysregulated N‐acetyltransferases expression was found in DLBCL samples. High expression of NAT10 was associated with poor prognosis of DLBCL patients. Deletion of NAT10 expression inhibited cell proliferation and induced G0/G1 phase arrest. Furthermore, knockout of NAT10 increased the sensitivity of DLBCL cells to ibrutinib. AcRIP‐seq identified solute carrier family 30 member 9 (SLC30A9) as a downstream target of NAT10 in DLBCL. NAT10 regulated the mRNA stability of SLC30A9 in an ac4C‐dependent manner. Genetic silencing of SLC30A9 suppressed DLBCL cell growth via regulating the activation of AMP‐activated protein kinase (AMPK) pathway. Conclusion: Collectively, these findings highlighted the essential role of ac4C RNA modification mediated by NAT10 in DLBCL, and provided insights into novel epigenetic‐based therapeutic strategies. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Risk Stratification for Diffuse Large B-Cell Lymphoma by Integrating Interim Evaluation and International Prognostic Index: A Multicenter Retrospective Study

Author

Shi, Xue, primary, Liu, Xiaoqian, additional, Li, Xiaomei, additional, Li, Yahan, additional, Lu, Dongyue, additional, Sun, Xue, additional, Li, Ying, additional, Hu, Shunfeng, additional, Zhang, Yuanfeng, additional, Zhou, Xiangxiang, additional, Wang, Xin, additional, Chen, Haiping, additional, and Fang, Xiaosheng, additional

Published
2021
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32. Additional file 1 of Derivation and validation of a lipid-covered prognostic model for mature T-cell lymphomas

Author

Lu, Tiange, Shi, Lei, Shi, Guanggang, Cai, Yiqing, Hu, Shunfeng, Liu, Jiarui, Ren, Shuai, Zhou, Xiangxiang, and Wang, Xin

Subjects
education
Abstract

Additional file 1: Table S1. Univariate and multivariate analysis of PFS in the training cohort. Table S2. Harrell’s c-index of EnBC score and IPI score in predicting survival. Table S3. OS/PFS probability and median OS/PFS time of the training and validation cohort. Table S4. OS probability and median OS time of different EnBC and IPI risk grades in the training and validation cohort. Table S5. PFS probability and median PFS time of different EnBC and IPI risk grades in the training and validation cohort. Table S6. Time-dependent AUCs and 95% CI at different times of EnBC and IPI for survival prediction in the training and validation cohort. Table S7. Brier scores at different times of two scoring systems for survival predicting in the training and validation cohort. Figure S1. Calibration curves of PFS in the training and validation cohort. Figure S2. Kaplan–Meier estimated OS and PFS curves in the training and validation cohort. Figure S3. Time-dependent AUCs, Brier scores and Decision curves of PFS in the training and validation cohort.

Published
2021
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