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您的检索式：作者名="Meilin Weng"
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| 1 | Nalmefene attenuates malignant potential in colorectal cancer cell via inhibition of opioid receptor显示文摘吗啡被要求在在外科手术前的时期期间支持肿瘤生长和转移的一个风险因素,和肿瘤房间的高 glycolysis 被证明加速肿瘤前进。在这研究,我们调查了是否 nalmefene,一个 opioid 受体禁止者,能通过影响细胞 glycolysis 禁止 CT26 结肠癌细胞生长。CCK8 和 transwell 迁居试金证明 nalmefene 以一种集中依赖者方式禁止了 CT26 房间生存能力和移植。细胞外的使发酸率和氧消费率证明 nalmefene 禁止了 CT26 房间的 glycolysis。而且,西方的污点分析和量的即时 PCR 表明 nalmefene 减少了与 glycolysis 有关的酶的表情。流动 cytometry 结果揭示了那细胞内部的钙(Ca 2+) 水平被 nalmefene 改变,西方的污点分析证明 nalmefene 减少了 calmodulin 表示和 calcium/calmodulin 依赖者蛋白质 kinases II (CaMK II ) phosphorylation,因此禁止 serine/threonine kinase (AKT ) 肝糖 synthase kinase-3 (GSK-3 ) 小径。而且, KN93 的效果, CaMK II 的一个禁止者,类似于 nalmefene,和 nalmefene 的反肿瘤效果的效果能被吗啡抵抗。在结论, nalmefene 的反肿瘤效果可以被禁止 opioid 受体和下面调整的 calmodulin 表示和 CaMK II phosphorylation 完成,因此禁止 AKT-GSK-3 小径和 CT26 房间的 glycolysis。 | Qichao Wu Xiangyuan Chen Jiaqiang Wang Pengfei Sun Meilin Weng Wankun Chen Zhirong Sun Minmin Zhu Changhong Miao | 2018 | Acta Biochimica et Biophysica Sinica2018，50，2： | 2 |
| 2 | Single-cell dissection,hdWGCNA and deep learning reveal the role of oxidatively stressed plasma cells in ulcerative colitis显示文摘Ulcerative colitis(UC)develops as a result of complex interactions between various cell types in the mucosal microenvironment.In this study,we aim to elucidate the pathogenesis of ulcerative colitis at the single-cell level and unveil its clinical significance.Using single-cell RNA sequencing and high-dimensional weighted gene co-expres-sion network analysis,we identify a subpopulation of plasma cells(PCs)with significantly increased infiltration in UC colonic mucosa,characterized by pronounced oxidative stress.Combining 10 machine learning approaches,we find that the PC oxidative stress genes accurately distinguish diseased mucosa from normal mucosa(independent external testing AUC=0.991,sensitivity=0.986,specificity=0.909).Using MCPcounter and non-negative matrix factorization,we identify the association between PC oxidative stress genes and immune cell infiltration as well as patient heterogeneity.Spatial transcriptome data is used to verify the infiltration of oxidatively stressed PCs in colitis.Finally,we develop a gene-immune convolutional neural network deep learning model to diagnose UC mucosa in different cohorts(independent external testing AUC=0.984,sensitivity=95.9%,specificity=100%).Our work sheds light on the key pathogenic cell subpopulations in UC and is essential for the development of future clinical disease diagnostic tools. | Shaocong Mo Xin Shen Baoxiang Huang Yulin Wang Lingxi Lin Qiuming Chen Meilin Weng Takehito Sugasawa Wenchao Gu Yoshito Tsushima Takahito Nakajima | 2023 | Acta Biochimica et Biophysica Sinica2023，55，11： | 0 |
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