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Oriented Generation of Novel Thermo-Sensitive Genic Male Sterile Lines with Improved Grain Shape and Outcrossing Rate in Early-Season Rice
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作者 ZHANG Huali CHEN Junyu +5 位作者 LI Ruiqing WANG Huimei DAI Dongqing LIANG Minmin WU Mingyue ma liangyong 《Rice science》 SCIE CSCD 2024年第2期129-133,I0001-I0016,共21页
Two-line hybrid rice with excellent quality is preferred in the Chinese market.However,there is a trade-off between reducing costs for hybrid seed production and lowering the outcrossing rate of the sterile line,which... Two-line hybrid rice with excellent quality is preferred in the Chinese market.However,there is a trade-off between reducing costs for hybrid seed production and lowering the outcrossing rate of the sterile line,which is largely determined by the stigma exsertion rate(SER).In this study,we constructed mutants of male sterility lines with improved grain length(GL)and SER in three elite early-season indica rice varieties through targeted manipulation of the TMS5 and GS3 genes using CRISPR/Cas9-mediated multiplex systems.We obtained a series of marker-free gs3 single mutants and gs3tms5 double mutants with significantly higher SER,longer grains,and increased 1000-grain weight compared with the wild type(WT).Importantly,the typically thermo-sensitive genic male sterile(TGMS)trait with a higher SER was observed in gs3tms5 mutants,and their F1 hybrids exhibited remarkable improvements in grain shape and yield-related traits.Our findings provided an efficient method to generate new valuable TGMS germplasm with improved SER through the mutagenesis of GS3 and TMS5 synergistically,and demonstrated that GS3 had pleiotropic effects on grain size,SER,and grain quality in early-season indica rice. 展开更多
关键词 STERILE ELITE SEASON
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基于增强CT影像组学预测浸润性肺腺癌EGFR突变状态的价值
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作者 王杰 王振羽 +4 位作者 马良勇 张金华 林玉芬 林吉征 张濬韬 《医学影像学杂志》 2024年第5期61-66,共6页
目的探讨建立并验证影像组学诺模图预测浸润性肺腺癌表皮生长因子受体(EGFR)突变的能力。方法选取231例经病理证实为浸润性肺腺癌患者,并有EGFR突变资料,按照7∶3的比例分为训练集(n=162)和测试集(n=69)。利用最大相关最小冗余(mRMR)及... 目的探讨建立并验证影像组学诺模图预测浸润性肺腺癌表皮生长因子受体(EGFR)突变的能力。方法选取231例经病理证实为浸润性肺腺癌患者,并有EGFR突变资料,按照7∶3的比例分为训练集(n=162)和测试集(n=69)。利用最大相关最小冗余(mRMR)及最小绝对收缩与选择子算法(LASSO)筛选最佳影像组学特征,构建预测肺腺癌EGFR突变状态的模型;以单因素及多因素logistic回归筛选浸润性肺腺癌EGFR突变相关的临床、病理及CT特征,构建临床模型;联合影像组学特征及临床、病理、CT特征构建影像组学诺模图,ROC曲线及AUC值评估模型的预测效能,并采用DeLong检验比较模型间AUC值差异是否有统计学意义,校正曲线及DCA曲线评估影像组学诺模图的临床价值。结果最终基于增强扫描动脉期及静脉期筛选出13项影像组学特征建立影像组学模型,该模型在训练集及测试集中的AUC值为0.79、0.76;临床模型由性别、病理分期及血管集束征构成,该模型在训练集及测试集中的AUC值分别为0.75、0.75;影像组学诺模图在训练集及测试集中的AUC值分别为0.82、0.80;DeLong检验显示,训练集中影像组学诺模图AUC值大于临床模型,差异有统计学意义(P<0.05),影像组学模型与临床模型AUC值差异无统计学意义(P>0.05);测试集中3种模型AUC值差异均无统计学意义(P>0.05);影像组学诺模图在训练集及测试集中的拟合优度良好,DCA曲线显示影像组学诺模图临床效用优于临床模型。结论基于增强CT影像组学诺模图对浸润性肺腺癌EGFR突变状态有良好的预测能力。 展开更多
关键词 影像组学 浸润性肺腺癌 表皮生长因子受体 体层摄影术 X线计算机
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