为进一步确定新疆某规模化牛场疑似奶牛副结核病病原,本研究从PCR检测阳性牛粪便样本中共分离获得4株细菌,对其进行菌落形态观察、抗酸染色镜检以及16S r RNA、IS900特异性基因及亚型分型基因的扩增、序列测定与分析。结果显示,所分离的...为进一步确定新疆某规模化牛场疑似奶牛副结核病病原,本研究从PCR检测阳性牛粪便样本中共分离获得4株细菌,对其进行菌落形态观察、抗酸染色镜检以及16S r RNA、IS900特异性基因及亚型分型基因的扩增、序列测定与分析。结果显示,所分离的4株细菌为抗酸染色阳性菌,对其IS900基因及亚型分型基因检测均为阳性,它们的16S r RNA、IS900基因及亚型分型基因之间同源性为100%,与Gen Bank中登录的副结核分支杆菌序列同源性在99%以上,从而确定所分离的4株菌株均为Ⅱ型(牛型)副结核分枝杆菌。展开更多
为查明导致新疆南疆某规模化鹿场马鹿消瘦、腹泻并致其死亡的病因,通过临床检查与实验室检测分离病原菌,并从形态学与分子生物学进行鉴定。结果表明,分离得到1株副结核分支杆菌,该分离菌抗酸染色阳性,16 S rRNA基因与GenBank中多个副结...为查明导致新疆南疆某规模化鹿场马鹿消瘦、腹泻并致其死亡的病因,通过临床检查与实验室检测分离病原菌,并从形态学与分子生物学进行鉴定。结果表明,分离得到1株副结核分支杆菌,该分离菌抗酸染色阳性,16 S rRNA基因与GenBank中多个副结核分支杆菌序列同源性为100%,检测IS900基因与多个副结核分支杆菌序列同源性在99%以上,扩增亚型分型基因得到310 bp的片段,说明该菌株为Ⅱ型(牛型)副结核分支杆菌。最终确定引起该鹿场马鹿发病的病因为副结核分支杆菌感染,并首次成功分离培养出马鹿源副结核分枝杆菌。展开更多
目的探讨慢性乙型肝炎患者不同的中医辨证分型是否引起淋巴细胞亚群和淋巴细胞VCS(V volume C conductivity S scatter)相应的变化。方法对符合纳入条件116病例分成三组,分别为肝郁脾虚型43例,湿热中阻型38例,瘀血阻络型35例,同时选健...目的探讨慢性乙型肝炎患者不同的中医辨证分型是否引起淋巴细胞亚群和淋巴细胞VCS(V volume C conductivity S scatter)相应的变化。方法对符合纳入条件116病例分成三组,分别为肝郁脾虚型43例,湿热中阻型38例,瘀血阻络型35例,同时选健康体检人员为健康对照组48例。对各组进行ALT、WBC、CD4+、CD8+、CD4+/CD8+、MLV、MLV-SD、MLC、MLC-SD、MLS、MLS-SD的检测,分析各组上述指标间的相互关系。结果与健康对照组比较,肝郁脾虚型、湿热中阻型、瘀血阻络型三组的ALT、CD8+、MLV、MLV-SD、MLC-SD、MLS-SD均升高,差异有统计学意义(P<0.05),WBC、CD4+、CD4+/CD8+、MLC、MLS均下降,差异有统计学意义(P<0.05),与湿热中阻型比较,肝郁脾虚型的CD8+、MLV-SD、MLC-SD、MLS、MLS-SD差异有统计学意义(P<0.05),瘀血阻络型ALT、CD4+、CD8+、CD4+/CD8+、MLV、MLV-SD、MLC-SD、MLS差异有统计学意义(P<0.05),与瘀血阻络型比较,ALT、CD4+、CD8+、CD4+/CD8+、MLV、MLV-SD、MLC-SD、MLC-SD、MLS、MLS-SD差异有统计学意义(P<0.05)。结论慢性乙型肝炎患者证侯的变化,淋巴细胞的亚群表达及VCS参数的结果发生相应的变化,表明三者间存在密切的关系,可为中医辨证分型提供实验指标。展开更多
The surgical treatment of localized breast cancer has become progressively less aggressive over the years.The management of the axillary lymph nodes has been modified by the introduction of sentinel lymph node biopsy....The surgical treatment of localized breast cancer has become progressively less aggressive over the years.The management of the axillary lymph nodes has been modified by the introduction of sentinel lymph node biopsy. Axillary dissection can be avoided in patients with sentinel lymph node negative biopsies. Based on randomized trials data, it has been proposed that no lymph node dissection should be carried out even in certain patients with sentinel lymph node positive biopsies. This commentary discusses the basis of such recommendations and cautions against a general omission of lymph node dissection in breast cancer patients with positive sentinel lymph node biopsies. Instead, an individualized approach based on axillary tumor burden and biology of the cancer should be considered.展开更多
Few-shot learning is becoming more and more popular in many fields,especially in the computer vision field.This inspires us to introduce few-shot learning to the genomic field,which faces a typical few-shot problem be...Few-shot learning is becoming more and more popular in many fields,especially in the computer vision field.This inspires us to introduce few-shot learning to the genomic field,which faces a typical few-shot problem because some tasks only have a limited number of samples with high-dimensions.The goal of this study was to investigate the few-shot disease sub-type prediction problem and identify patient subgroups through training on small data.Accurate disease subtype classification allows clinicians to efficiently deliver investigations and interventions in clinical practice.We propose the SW-Net,which simulates the clinical process of extracting the shared knowledge from a range of interrelated tasks and generalizes it to unseen data.Our model is built upon a simple baseline,and we modified it for genomic data.Supportbased initialization for the classifier and transductive fine-tuning techniques were applied in our model to improve prediction accuracy,and an Entropy regularization term on the query set was appended to reduce over-fitting.Moreover,to address the high dimension and high noise issue,we future extended a feature selection module to adaptively select important features and a sample weighting module to prioritize high-confidence samples.Experiments on simulated data and The Cancer Genome Atlas meta-dataset show that our new baseline model gets higher prediction accuracy compared to other competing algorithms.展开更多
文摘为进一步确定新疆某规模化牛场疑似奶牛副结核病病原,本研究从PCR检测阳性牛粪便样本中共分离获得4株细菌,对其进行菌落形态观察、抗酸染色镜检以及16S r RNA、IS900特异性基因及亚型分型基因的扩增、序列测定与分析。结果显示,所分离的4株细菌为抗酸染色阳性菌,对其IS900基因及亚型分型基因检测均为阳性,它们的16S r RNA、IS900基因及亚型分型基因之间同源性为100%,与Gen Bank中登录的副结核分支杆菌序列同源性在99%以上,从而确定所分离的4株菌株均为Ⅱ型(牛型)副结核分枝杆菌。
文摘为查明导致新疆南疆某规模化鹿场马鹿消瘦、腹泻并致其死亡的病因,通过临床检查与实验室检测分离病原菌,并从形态学与分子生物学进行鉴定。结果表明,分离得到1株副结核分支杆菌,该分离菌抗酸染色阳性,16 S rRNA基因与GenBank中多个副结核分支杆菌序列同源性为100%,检测IS900基因与多个副结核分支杆菌序列同源性在99%以上,扩增亚型分型基因得到310 bp的片段,说明该菌株为Ⅱ型(牛型)副结核分支杆菌。最终确定引起该鹿场马鹿发病的病因为副结核分支杆菌感染,并首次成功分离培养出马鹿源副结核分枝杆菌。
文摘目的探讨慢性乙型肝炎患者不同的中医辨证分型是否引起淋巴细胞亚群和淋巴细胞VCS(V volume C conductivity S scatter)相应的变化。方法对符合纳入条件116病例分成三组,分别为肝郁脾虚型43例,湿热中阻型38例,瘀血阻络型35例,同时选健康体检人员为健康对照组48例。对各组进行ALT、WBC、CD4+、CD8+、CD4+/CD8+、MLV、MLV-SD、MLC、MLC-SD、MLS、MLS-SD的检测,分析各组上述指标间的相互关系。结果与健康对照组比较,肝郁脾虚型、湿热中阻型、瘀血阻络型三组的ALT、CD8+、MLV、MLV-SD、MLC-SD、MLS-SD均升高,差异有统计学意义(P<0.05),WBC、CD4+、CD4+/CD8+、MLC、MLS均下降,差异有统计学意义(P<0.05),与湿热中阻型比较,肝郁脾虚型的CD8+、MLV-SD、MLC-SD、MLS、MLS-SD差异有统计学意义(P<0.05),瘀血阻络型ALT、CD4+、CD8+、CD4+/CD8+、MLV、MLV-SD、MLC-SD、MLS差异有统计学意义(P<0.05),与瘀血阻络型比较,ALT、CD4+、CD8+、CD4+/CD8+、MLV、MLV-SD、MLC-SD、MLC-SD、MLS、MLS-SD差异有统计学意义(P<0.05)。结论慢性乙型肝炎患者证侯的变化,淋巴细胞的亚群表达及VCS参数的结果发生相应的变化,表明三者间存在密切的关系,可为中医辨证分型提供实验指标。
文摘The surgical treatment of localized breast cancer has become progressively less aggressive over the years.The management of the axillary lymph nodes has been modified by the introduction of sentinel lymph node biopsy. Axillary dissection can be avoided in patients with sentinel lymph node negative biopsies. Based on randomized trials data, it has been proposed that no lymph node dissection should be carried out even in certain patients with sentinel lymph node positive biopsies. This commentary discusses the basis of such recommendations and cautions against a general omission of lymph node dissection in breast cancer patients with positive sentinel lymph node biopsies. Instead, an individualized approach based on axillary tumor burden and biology of the cancer should be considered.
基金supported by the Macao Science and Technology Development Funds Grands No.0158/2019/A3 from the Macao Special Administrative Region of the People’s Republic of China.
文摘Few-shot learning is becoming more and more popular in many fields,especially in the computer vision field.This inspires us to introduce few-shot learning to the genomic field,which faces a typical few-shot problem because some tasks only have a limited number of samples with high-dimensions.The goal of this study was to investigate the few-shot disease sub-type prediction problem and identify patient subgroups through training on small data.Accurate disease subtype classification allows clinicians to efficiently deliver investigations and interventions in clinical practice.We propose the SW-Net,which simulates the clinical process of extracting the shared knowledge from a range of interrelated tasks and generalizes it to unseen data.Our model is built upon a simple baseline,and we modified it for genomic data.Supportbased initialization for the classifier and transductive fine-tuning techniques were applied in our model to improve prediction accuracy,and an Entropy regularization term on the query set was appended to reduce over-fitting.Moreover,to address the high dimension and high noise issue,we future extended a feature selection module to adaptively select important features and a sample weighting module to prioritize high-confidence samples.Experiments on simulated data and The Cancer Genome Atlas meta-dataset show that our new baseline model gets higher prediction accuracy compared to other competing algorithms.
