基因枪介导甘蔗遗传转化几个影响因素的研究

用基因枪GJ1000介导将Bt基因转入甘蔗嫩叶、Ⅰ型愈伤组织和Ⅱ型愈伤组织。结果表明,用Ⅱ型愈伤组织作为受体最用利于转化;气体压力、轰击距离、轰击次数和真空度对转化效率有不同程度的影响。条件优化后,得到了大量的抗性愈伤组织和一些抗性植株,转化率分别为34.9％和3.36％。     

Cd2+处理对菹草叶片保护酶活性和细胞超微结构的毒害影响

以不同浓度Cd^2 处理5d的菹草为实验材料,测定了叶片SOD,POD,CAT等生理生化指标的变化,并用透射电镜观察了Cd^2 对叶细胞超微结构,尤其是对叶绿体,线粒体和细胞核的损伤情况。结果表明：SOD活性,叶绿素含量随Cd^2 处理浓度的增加而下降,而CAT和POD活性都是在1mg／L浓度下达到峰值,而后降低。SOD对Cd^2 毒害最敏感,其次为POD和CAT。电镜观察发现：随Cd^2 浓度的增加,对细胞超微结构的损伤程度也加剧。表现为叶绿体膨大,被膜断裂、消失和叶绿体解体;线粒体变形,脊突膨大和空泡化;细胞核核仁分散,核膜断裂,核空泡化。并探讨了Cd^2 对植物的毒害机制。     

脂筏的结构与功能

脂筏是膜脂双层内含有特殊脂质及蛋白质的微区.小窝是脂筏的一种类型,由胆固醇、鞘脂及蛋白质组成,以小窝蛋白为标记蛋白.脂筏的组分和结构特点有利于蛋白质之间相互作用和构象转化,可以参与信号转导和细胞蛋白质运转.一些感染性疾病、心血管疾病、肿瘤、肌营养不良症及朊病毒病等可能与脂筏功能紊乱有着密切的关系.     

植物病原真菌致病毒素草酸的研究进展

许多植物病原菌可以分泌草酸,草酸作为致病的关键因子在病原菌的侵染过程中发挥着重要作用,并与病原菌的致病性、毒性有密切关系。草酸可通过氧化和脱羧两条途径进行降解,因此可以将草酸降解酶基因导入植物,从而获得对这类病害的抗性。     

雌激素受体α和β亚型在文昌鱼神经系统、哈氏窝和性腺中的定位

用兔抗人ER-α和ER-β多克隆抗体对文昌鱼神经系统、轮器哈氏窝和性腺进行免疫细胞化学的定位研究。结果揭示幼年和成年两性不同发育时期文昌鱼在这些部位分布ER-α和ER-β蛋白。ER-α定位在端脑、中脑、后脑和神经管中大多数神经细胞核,少数在胞质及其突起和神经纤维,ER-β则定位在细胞质或细胞膜上,少数在核内。ER-α免疫阳性物质主要分布在哈氏窝下层的上皮细胞核,少数在上层细胞质,β受体则在上层细胞核。在性腺,ER-α分布在卵巢中卵原细胞和小生长期卵母细胞胞质与核仁,生发泡(核)显免疫阴性,在大生长期卵母细胞核膜和核仁的免疫阳性显著增强,成熟期则在卵细胞生发泡表达;ER-β免疫阳性物质分布在卵原细胞和早期卵母细胞质以及成熟卵细胞的卵被膜检测到,生发泡显免疫阴性。在精巢,这两种ER亚型均定位在精原细胞、初级与次级精母细胞和足细胞质,精子细胞在胞核,精子显免疫阴性。另外,双染结果还揭示ER-α和ER-β在上述部位多数共存于同一细胞,少数在不同细胞表达,且在细胞定位有不同。首次发现这两种雌激素受体亚型在文昌鱼有广泛分布,它们介导雌激素对文昌鱼神经内分泌组织的调节作用。α和β受体在靶细胞定位的不同,提示两者在介导雌激素信号路线和基因转录机制可能有不同生理作用。     

兔抗人NESTIN抗血清的制备与鉴定(简报)

巢蛋白(nestin)属Ⅵ类中等纤维蛋白。最初在神经系统发育早期发现有该蛋白的表达。后在正常神经系统中发现仅在未分化的神经前体细胞中有nestin的短暂表达,分化后在神经元和神经胶质细胞中分别被NF(neurofilament,神经丝)和GFAP(Glial fibrillary acidic protein,神经胶质元纤维酸性蛋白)所代替。所以nestin的表达通常被视为神经前体细胞的标志之一。就我们所知,目前商品化nestin的抗体都是鼠抗鼠(克隆Rat401)的抗体,而人鼠之间该蛋白序列的同源性仅为50%左     

热激处理对冷藏蚕豆种子褐变和有关酶活性的影响

研究了45℃30、60和120s短期热激处理对蚕豆种子在1℃贮藏期间褐变和有关酶活性的影响。结果表明,采用45℃ 60s热激处理可显著降低蚕豆在冷藏期间的呼吸强度、PPO和PAL活性,抑制MDA和总酚含量及褐变度的上升,延缓叶绿素和Vc含量的下降。从而起到延缓衰老和保持品质的作用。45℃热处理120s使2周后MDA含量和褐变度上升及Vc含量下降较快,这可能是由于组织受到了热伤害造成的。     

Weighted Wilcoxon-type smoothly clipped absolute deviation method

Summary .  Shrinkage-type variable selection procedures have recently seen increasing applications in biomedical research. However, their performance can be adversely influenced by outliers in either the response or the covariate space. This article proposes a weighted Wilcoxon-type smoothly clipped absolute deviation (WW-SCAD) method, which deals with robust variable selection and robust estimation simultaneously. The new procedure can be conveniently implemented with the statistical software R . We establish that the WW-SCAD correctly identifies the set of zero coefficients with probability approaching one and estimates the nonzero coefficients with the rate   n ^−1/2  . Moreover, with appropriately chosen weights the WW-SCAD is robust with respect to outliers in both the x and y directions. The important special case with constant weights yields an oracle-type estimator with high efficiency in the presence of heavier-tailed random errors. The robustness of the WW-SCAD is partly justified by its asymptotic performance under local shrinking contamination. We propose a Bayesian information criterion type tuning parameter selector for the WW-SCAD. The performance of the WW-SCAD is demonstrated via simulations and by an application to a study that investigates the effects of personal characteristics and dietary factors on plasma beta-carotene level.     

Quantitative Surface-Enhanced Raman for Gene Expression Estimation

We demonstrate for the first time, to our knowledge, a unique gene expression assay by surface-enhanced Raman scattering (SERS) using nonfluorescent Raman labels to quantify gene expression at the resolution of alternative splicing using RNA extracted from cancer cells without any amplification steps. Our approach capitalizes on the inherent plasmon-phonon mode of SERS substrates as a self-referencing standard for the detection and quantification of genetic materials. A strategy integrating S1 nuclease digestion with SERS detection was developed to quantify the expression levels of splice junction Δ(9,10), a segment of the breast cancer susceptibility gene 1 (BRCA1) from MCF-7 and MDA-MB-231 cells. Quantification results were cross-validated using two Raman tags and qualitatively confirmed by RT-PCR. Our methodology based on SERS technology provides reliable gene expression data with high sensitivity, bypassing the intricacies involved in fabricating a consistent SERS substrate.