基因定量检测方法研究进展

基因定量检测已经成为研究基因组变异以及由于基因重组所引起的相关疾病的重要手段。大片段的基因组的重复和缺失可以引起致病突变。使用PCR和测序等定性检测方法很难探测到杂合状态的缺失和重复,因此探寻高效、可靠、灵敏的基因定量检测方法是当务之急。在过去的几年中已经相继出现了一些自动高效的技术方法。现在可用的基因定量方法大致可以分成3类:DNA印迹技术,细胞遗传学方法和以PCR扩增为基础的定量。本文对基因定量的最新进展作一综述,探讨其优缺点以期对定量研究方法的选择有所帮助。     

血清TPS浓度在消化道肿瘤中价值的研究

共选择３０例消化道肿瘤病人，其中食管癌，胃癌，大肠癌各１０例，设健康献血者３０例，对两组血清特异型组织多肽抗原浓度进行了检测，结果肿瘤组血清ＴＰＳ浓度明显高于健康人。消化道肿瘤阳性检出经达７０％，其中食管癌８０％，胃癌６０％，大肠癌７０％。消化道肿瘤合并淋巴转移阳性检出率达７６．９％，其中食管癌１００％，胃癌６６．７％，大肠癌７０．０％。随着病程发展，血清ＴＰＳ浓度呈现升高趋势。     

脉动真空灭菌器内室气体流向监测报警装置的研制

本文针对XGI型脉动真空灭菌柜出现的蒸汽倒流故障设计出一种内室气体流向监测报警装置，对管道中的蒸汽流向和空气流向进行监测。当出现倒流现象时，报警装置发出报警信号，提醒工作人员采取措施排除故障。经在两台灭菌柜上使用，证明此方案是一种行之有效的方法。     

Dopamine receptor agonists alter gap prestimulus modulation

An innocuous sensory event (a prestimulus) that briefly precedes a startle-eliciting stimulus (SES) will reduce the amplitude of the subsequently elicited reflex. In three experiments brief silent periods in otherwise continuous noise (gaps) were used as prestimuli to investigate the effects of the D₁ dopamine receptor agonist (±)-SKF-38393 (SKF) and the dopamine D₂ receptor group agonist (−)-quinpirole hydrochloride on gap inhibition of the rat’s acoustic startle reflex. Gap durations of 4 and 50 ms were analyzed. Quinpirole (0–1.6 mg/kg) had a biphasic effect on gap inhibition. Lower doses increased gap inhibition, an effect that peaked at the 0.4 mg/kg dose. For higher doses, inhibition returned to control levels for the 4-ms long gap, but remained elevated for the 50-ms long gap. SKF had no effect on gap inhibition, and haloperidol (0.2 mg/kg) reversed the quinpirole-induced increase of gap inhibition. These data implicate the D₂ dopamine receptor group in gap inhibition of startle modulation. The results are discussed in terms of the effects of catecholamine agonists on attention. Received: 25 July 1995/Final version: 28 April 1997     

Indirect detection of anti-acetylcholinesterase compounds in microcolumn liquid chromatography using packed bed reactor with immobilized human red blood cell acetylcholinesterase and choline oxidase

The inhibiting compounds were separated by micro-column liquid chromatography in the mobile phase containing the natural substrate acetylcholine. A home-made packed bed microbioreactor system containing immobilized enzyme acetylcholinesterase (ACHE) in human red blood cell membrane and choline oxidase (CHO) from alcaligenes was used for the post-column conversion of acetylcholine to hydrogen peroxide which was detected by an electrochemical detector. The inhibition effect of the solutes caused a decrease in the acetylcholinesterase activity, a decrease in the formation of hydrogen peroxide and also a decrease in the response corresponding to the concentration of the solutes. The rate of the enzyme regeneration was also recorded. The micro-system was compared with a conventional LC system comprising commercially prepared enzyme reactor. The stability of the enzymes is at least 3 weeks at ambient temperature. The limit of detection depends on biological activity of inhibition and for galanthamine was 1 pmol.     

转基因食品的快速PCR鉴定

用十六烷基-二甲基-乙基-溴化铵(CTAB)法快速高效地从样品中提取了可供分析的基因组DNA,经PCR扩增,鉴定了含有35S启动子和NOS终止子的转基因样品.该方法的灵敏度可达0.1%,并且具有很好的稳定性.     

应用数据挖掘技术获取周围型肺癌临床和CT诊断规则的初步研究

目的探讨数据挖掘技术对周围型肺癌影像诊断规则提取的价值。方法收集58例经过临床病理证实的周围型肺癌病例,对其临床及CT表现属性进行标准化认定,输入数据库,分别采用自主开发的基于关联规则知识发现程序与通用数据分析工具ROSETTA中的粗糙集约简算法和遗传分类算法对58例周围型肺癌临床及影像学数据进行挖掘对比研究。结果由Johnson’s Algorithm粗糙集约简算法产生诊断规则51条,由ROSETTA遗传分类算法所产生的诊断规则有5千多条,基于关联规则的挖掘算法所产生的诊断规则有123条。这3种不同的数据挖掘方法产生的最重要的诊断规则基本上都将性别、年龄、位置、毛刺、形状、毛玻璃样密度等属性作为诊断周围型肺癌的主要依据。结论数据挖掘技术在医学影像诊断和鉴别诊断中具有潜在的应用价值。     

生理信号检测中的同步工频陷波器

市电50Hz干扰一直是生理信号检测过程中最难以克服的问题之一。本文叙述了利用同步滤波器技术克服50Hz干扰的方法。同步滤波器可以自动跟踪市电频率的变化且具有极高Q值和理想的梳状滤波特性,而元件的灵敏度却很低,因而很容易获得40dB以上的陷波效果,可以从根本上克服50Hz干扰而几乎对有用信号毫无影响。     

The use of 3D surface fitting for robust polyp detection and classification in CT colonography

In this paper we describe the development of a computationally efficient computer-aided detection (CAD) algorithm based on the evaluation of the surface morphology that is employed for the detection of colonic polyps in computed tomography (CT) colonography. Initial polyp candidate voxels were detected using the surface normal intersection values. These candidate voxels were clustered using the normal direction, convexity test, region growing and Gaussian distribution. The local colonic surface was classified as polyp or fold using a feature normalized nearest neighborhood classifier. The main merit of this paper is the methodology applied to select the robust features derived from the colon surface that have a high discriminative power for polyp/fold classification. The devised polyp detection scheme entails a low computational overhead (typically takes 2.20 min per dataset) and shows 100% sensitivity for phantom polyps greater than 5 mm. It also shows 100% sensitivity for real polyps larger than 10 mm and 91.67% sensitivity for polyps between 5 to 10 mm with an average of 4.5 false positives per dataset. The experimental data indicates that the proposed CAD polyp detection scheme outperforms other techniques that identify the polyps using features that sample the colon surface curvature especially when applied to low-dose datasets.