电流镜输出误差主要由3个不同失配源造成:漏源电压(V_(DS)),阈值电压(V_(th)),跨导系数(β)。其中,第一项V_(DS)失配通常是由有限输出阻抗引起的确定性误差,该误差可以通过使用级联结构以及增益提升技术避免,后两项V_(th)和β失配是由...电流镜输出误差主要由3个不同失配源造成:漏源电压(V_(DS)),阈值电压(V_(th)),跨导系数(β)。其中,第一项V_(DS)失配通常是由有限输出阻抗引起的确定性误差,该误差可以通过使用级联结构以及增益提升技术避免,后两项V_(th)和β失配是由工艺引起的随机性误差。为解决电流镜因工艺失配现象导致的电压电流(Voltage to Current)转换电路精度、线性度较差的问题,提出了一种动态元件匹配(Dynamic Element Match,DEM)以及修调技术(TRIM)相结合的电流镜校准方法,该方法使用TRIM技术将待校准输出电流镜支路和基准电流镜支路之间的误差电流,通过电容与MOS管转换成校准电流后反馈流入待校准输出电流镜支路完成校准,并通过DEM技术切换多条待校准输出电流镜支路完成校准的同时使输出误差平均化。本文采用SMIC 0.18μm BCD工艺对所提出的V-I转换电路进行了电路设计,仿真结果表明,V-I转换电路的输出电流的失配误差从0.12%下降到了0.03%,有效位数ENOB达到了11.2 bit,总谐波失真THD为−72.6 dB。展开更多
目的:探讨干扰三元基序59(TRIM59)表达对慢性粒细胞白血病K562细胞柔红霉素(DNR)化疗敏感性的影响及相关分子机制。方法:采用RT-q PCR法检测慢性粒细胞白血病患者骨髓组织和K562细胞中TRIM59 m RNA表达水平。用脂质体转染法将TRIM59特...目的:探讨干扰三元基序59(TRIM59)表达对慢性粒细胞白血病K562细胞柔红霉素(DNR)化疗敏感性的影响及相关分子机制。方法:采用RT-q PCR法检测慢性粒细胞白血病患者骨髓组织和K562细胞中TRIM59 m RNA表达水平。用脂质体转染法将TRIM59特异性小干扰RNA(si-TRIM59)转染至K562细胞,并用DNR处理细胞。CCK-8法检测细胞增殖,流式细胞术检测细胞凋亡,Western blot法检测凋亡相关蛋白和Wnt/β-catenin信号通路相关蛋白表达。结果:与初治时骨髓组织相比,化疗耐药时患者骨髓组织中TRIM59 m RNA表达水平升高(P<0.05)。与对照组比较,si-TRIM59组和DNR组细胞增殖抑制率、细胞凋亡率均显著升高(P<0.05);细胞中Bax、Caspase3、Cleaved-Caspase3蛋白表达量均显著升高,而Bcl-2、Wnt3α、GSK-3β蛋白表达量、p-β-catenin/β-catenin比值均显著降低(P<0.05)。与si-TRIM59组和DNR组比较,si-TRIM59+DNR组细胞增殖抑制率、细胞凋亡率均显著升高(P<0.05);细胞中Bax、Caspase3、Cleaved-Caspase3蛋白表达量均显著升高,而Bcl-2、Wnt3α、GSK-3β蛋白表达量、p-β-catenin/β-catenin比值均显著降低(P<0.05)。结论:干扰TRIM59表达可增强K562细胞对DNR的化疗敏感性,其作用机制可能与调控Wnt/β-catenin信号通路相关。展开更多
Objective:To explore the regulatory mechanism of NUDT5 in glioblastoma multiforme(GBM).Methods:GEPIA database was used to predict the expressions of NUDT5 and tripartite motif family proteins 47(TRIM47)in GBM patients...Objective:To explore the regulatory mechanism of NUDT5 in glioblastoma multiforme(GBM).Methods:GEPIA database was used to predict the expressions of NUDT5 and tripartite motif family proteins 47(TRIM47)in GBM patients.RT-qPCR and Western blot analyses were performed to examine NUDT5 expression in GBM cells.LN-229 cell proliferation,migration as well as invasion were estimated by CCK-8,colony formation,wound healing,and Transwell assays following interference with NUDT5.ECAR assay,L-lactic acid kit,glucose detection kit,and ATP detection kit were applied for the detection of glycolysis-related indexes.Co-immunoprecipitation experiment was carried out to verify the relationship between NUDT5 and TRIM47.Results:GEPIA database showed that NUDT5 expression was significantly increased in GBM patients.Inhibiting the expression of NUDT5 in GBM cells significantly suppressed the viability,proliferation,invasion,migration,and glycolysis of GBM cells.Moreover,TRIM47 was highly expressed in GBM cells and interacted with NUDT5.Overexpression of TRIM47 partially reversed the inhibitory effect of NUDT5 downregulation on the proliferation,metastasis,and glycolysis of GBM cells.Conclusions:NUDT5 promotes the growth,metastasis,and Warburg effect of GBM cells by upregulating TRIM47.Both NUDT5 and TRIM47 can be used as targets for GMB treatment.展开更多
Background:The specific impact of sphingolipid metabolism on developing hepatocellular Carcinoma(HCC)remains unclear.This study aims to explore the relationship between sphingolipid metabolism and HCC prognosis,immune ...Background:The specific impact of sphingolipid metabolism on developing hepatocellular Carcinoma(HCC)remains unclear.This study aims to explore the relationship between sphingolipid metabolism and HCC prognosis,immune response,and drug sensitivity.Methods:Data were obtained from The Cancer Genome Atlas(TCGA)-Hepatocellular Carcinoma(LIHC)and Gene Expression Omnibus(GEO,GSE14520 datasets).47 sphingolipid metabolism genes were obtained from the Kyoto Encyclopedia of Genes and Genomes(KEGG)database.After classifying HCC samples using the Non-negative Matrix Factorization(NMF)clustering method,differentially expressed genes were screened.Then,8 risk genes were obtained by univariate analysis,survival random forest reduction and lasso analysis.The expression of 8 risk genes was verified in vitro.Results:8 risk genes were used to construct the Sphingolipid score model.High-Sphingolipid score predicted poor prognosis of HCC patients.Sphingolipid score was associated with immune checkpoints(IL-1B,TLR4,TGFB1,and IL-10),immune cells(Th2,Treg,MDSC,Neutrophil,Fibroblasts and macrophage),and MAPK Cascade.In the High-Sphingolipid score group,a significantly higher proportion of patients with TP53(p53)mutations was significantly higher(56%).Furthermore,patients with a high-Sphingolipid score were predicted to have a higher sensitivity to chemotherapy drugs.In vitro validation showed that compared with normal liver cells LX-2,TRIM47,and S100A9 significantly increased in liver cancer cells Hep G2,MHCC-97H,and Hep3B2.1-7,while SLC1A7,LPCAT1,and CFHR4 significantly decreased.Silencing TRIM47 reduced the proliferation and promoted apoptosis.The levels of ceramide synthesis-related indexes(CERS1,CERS6,CERS5,and SPTLC2)increased,and the ACER3 related to catalytic hydrolysis decreased.Conclusion:We constructed a sphingolipid metabolism-related prognostic signature(Sphingolipid score)based on 8 risk genes.TRIM47 may affect the development of liver cancer by regulating the relevant indicators of ceramide synthesis and catalytic hydrolysis.展开更多
文摘电流镜输出误差主要由3个不同失配源造成:漏源电压(V_(DS)),阈值电压(V_(th)),跨导系数(β)。其中,第一项V_(DS)失配通常是由有限输出阻抗引起的确定性误差,该误差可以通过使用级联结构以及增益提升技术避免,后两项V_(th)和β失配是由工艺引起的随机性误差。为解决电流镜因工艺失配现象导致的电压电流(Voltage to Current)转换电路精度、线性度较差的问题,提出了一种动态元件匹配(Dynamic Element Match,DEM)以及修调技术(TRIM)相结合的电流镜校准方法,该方法使用TRIM技术将待校准输出电流镜支路和基准电流镜支路之间的误差电流,通过电容与MOS管转换成校准电流后反馈流入待校准输出电流镜支路完成校准,并通过DEM技术切换多条待校准输出电流镜支路完成校准的同时使输出误差平均化。本文采用SMIC 0.18μm BCD工艺对所提出的V-I转换电路进行了电路设计,仿真结果表明,V-I转换电路的输出电流的失配误差从0.12%下降到了0.03%,有效位数ENOB达到了11.2 bit,总谐波失真THD为−72.6 dB。
文摘目的:探讨干扰三元基序59(TRIM59)表达对慢性粒细胞白血病K562细胞柔红霉素(DNR)化疗敏感性的影响及相关分子机制。方法:采用RT-q PCR法检测慢性粒细胞白血病患者骨髓组织和K562细胞中TRIM59 m RNA表达水平。用脂质体转染法将TRIM59特异性小干扰RNA(si-TRIM59)转染至K562细胞,并用DNR处理细胞。CCK-8法检测细胞增殖,流式细胞术检测细胞凋亡,Western blot法检测凋亡相关蛋白和Wnt/β-catenin信号通路相关蛋白表达。结果:与初治时骨髓组织相比,化疗耐药时患者骨髓组织中TRIM59 m RNA表达水平升高(P<0.05)。与对照组比较,si-TRIM59组和DNR组细胞增殖抑制率、细胞凋亡率均显著升高(P<0.05);细胞中Bax、Caspase3、Cleaved-Caspase3蛋白表达量均显著升高,而Bcl-2、Wnt3α、GSK-3β蛋白表达量、p-β-catenin/β-catenin比值均显著降低(P<0.05)。与si-TRIM59组和DNR组比较,si-TRIM59+DNR组细胞增殖抑制率、细胞凋亡率均显著升高(P<0.05);细胞中Bax、Caspase3、Cleaved-Caspase3蛋白表达量均显著升高,而Bcl-2、Wnt3α、GSK-3β蛋白表达量、p-β-catenin/β-catenin比值均显著降低(P<0.05)。结论:干扰TRIM59表达可增强K562细胞对DNR的化疗敏感性,其作用机制可能与调控Wnt/β-catenin信号通路相关。
文摘Objective:To explore the regulatory mechanism of NUDT5 in glioblastoma multiforme(GBM).Methods:GEPIA database was used to predict the expressions of NUDT5 and tripartite motif family proteins 47(TRIM47)in GBM patients.RT-qPCR and Western blot analyses were performed to examine NUDT5 expression in GBM cells.LN-229 cell proliferation,migration as well as invasion were estimated by CCK-8,colony formation,wound healing,and Transwell assays following interference with NUDT5.ECAR assay,L-lactic acid kit,glucose detection kit,and ATP detection kit were applied for the detection of glycolysis-related indexes.Co-immunoprecipitation experiment was carried out to verify the relationship between NUDT5 and TRIM47.Results:GEPIA database showed that NUDT5 expression was significantly increased in GBM patients.Inhibiting the expression of NUDT5 in GBM cells significantly suppressed the viability,proliferation,invasion,migration,and glycolysis of GBM cells.Moreover,TRIM47 was highly expressed in GBM cells and interacted with NUDT5.Overexpression of TRIM47 partially reversed the inhibitory effect of NUDT5 downregulation on the proliferation,metastasis,and glycolysis of GBM cells.Conclusions:NUDT5 promotes the growth,metastasis,and Warburg effect of GBM cells by upregulating TRIM47.Both NUDT5 and TRIM47 can be used as targets for GMB treatment.
基金The work was supported by funds from The Science and Technology Project of Hangzhou City(Agriculture and Social Development,No.2016007)&(Agriculture and Social Development,No.20201231Y131)&(Social Development,No.20140633B57)The Science and Technology Project of Yuhang District,Hangzhou City(Nos.2017002&2014003)+2 种基金The Health Science and Technology Project of Hangzhou City(No.2015B32)Zhejiang Provincial Natural Science Foundation of China under Grant(No.LTGY23H160006)The Health Science and Technology Project of Zhejiang Province(No.2023XY009).
文摘Background:The specific impact of sphingolipid metabolism on developing hepatocellular Carcinoma(HCC)remains unclear.This study aims to explore the relationship between sphingolipid metabolism and HCC prognosis,immune response,and drug sensitivity.Methods:Data were obtained from The Cancer Genome Atlas(TCGA)-Hepatocellular Carcinoma(LIHC)and Gene Expression Omnibus(GEO,GSE14520 datasets).47 sphingolipid metabolism genes were obtained from the Kyoto Encyclopedia of Genes and Genomes(KEGG)database.After classifying HCC samples using the Non-negative Matrix Factorization(NMF)clustering method,differentially expressed genes were screened.Then,8 risk genes were obtained by univariate analysis,survival random forest reduction and lasso analysis.The expression of 8 risk genes was verified in vitro.Results:8 risk genes were used to construct the Sphingolipid score model.High-Sphingolipid score predicted poor prognosis of HCC patients.Sphingolipid score was associated with immune checkpoints(IL-1B,TLR4,TGFB1,and IL-10),immune cells(Th2,Treg,MDSC,Neutrophil,Fibroblasts and macrophage),and MAPK Cascade.In the High-Sphingolipid score group,a significantly higher proportion of patients with TP53(p53)mutations was significantly higher(56%).Furthermore,patients with a high-Sphingolipid score were predicted to have a higher sensitivity to chemotherapy drugs.In vitro validation showed that compared with normal liver cells LX-2,TRIM47,and S100A9 significantly increased in liver cancer cells Hep G2,MHCC-97H,and Hep3B2.1-7,while SLC1A7,LPCAT1,and CFHR4 significantly decreased.Silencing TRIM47 reduced the proliferation and promoted apoptosis.The levels of ceramide synthesis-related indexes(CERS1,CERS6,CERS5,and SPTLC2)increased,and the ACER3 related to catalytic hydrolysis decreased.Conclusion:We constructed a sphingolipid metabolism-related prognostic signature(Sphingolipid score)based on 8 risk genes.TRIM47 may affect the development of liver cancer by regulating the relevant indicators of ceramide synthesis and catalytic hydrolysis.
