棉铃虫的取食营养特点与棉花抗虫素分布的关系

通过研究棉花8个部位对棉铃虫Helicoverpa armzgera的营养效果和其所含次生物质类萜烯和单宁的浓度及在组织中的分布,揭示了棉铃虫取食营养特点与棉花次生化学的关系。棉铃虫取食顶尖、转移蛀食蕾铃的习性,与有关器官或组织对幼虫的营养效果密切相关,而营养效果主要取决于类萜烯和单宁的含量。棉花顶尖嫩叶中单宁浓度随着棉花的生长发育呈升高的趋势;类萜烯浓度在第四真叶期、第六真叶期和现蕾初期之间出现一个明显的底谷,而此期幼虫主要为害顶尖。蕾铃外层的苞叶、花萼、花瓣和铃皮,因次生物质含量高,不利于幼虫生长,相反内部的花粉、子房和铃心,次生物质含量低,营养效果好,顶尖嫩叶则介于其间。类萜烯存在于组织的色素腺内,分布集中;单宁则散布于组织中,偏多分布于组织外层。结果证实,昆虫在寄主植物上的取食方式是昆虫对寄主体内变动的次生化学的一种适应,它使昆虫付出尽少代价获得最适营养效果。     

间断低氧对大鼠下丘脑超微结构及前增食欲素水平的影响

目的探讨睡眠中间断低氧对大鼠下丘脑前增食欲素及受体水平的影响以及下丘脑超微结构的变化。方法大鼠分成对照组、间断低氧组和持续低氧组,分别给予吸入空气,持续低氧和间断低氧气体,并在实验开始后1d、3d、1w和4w应用RT-PCR方法测定大鼠下丘脑前增食欲素及受体水平,分析其间的变化关系,电镜观察下丘脑的超微结构变化。结果与对照组和持续低氧组比较,间断低氧4w后大鼠下丘脑前增食欲素mRNA水平明显降低,受体水平升高,但在持续低氧和对照组之间无明显差异。在低氧后1d、3d、7d后大鼠下丘脑前增食欲素mRNA降低,受体水平升高,在4w后,持续低氧组则接近正常。急性持续低氧大鼠超微结构变化更严重,而慢性间断低氧变化更持久。结论慢性间断低氧可以引起下丘脑前增食欲素下降及受体水平升高,急性持续低氧也可引起上述变化,而慢性持续低氧未引起增食欲素改变;慢性间断低氧大鼠下丘脑超微结构表现为严重而持久的变化。     

一氧化氮增加常氧和缺氧豚鼠心室肌细胞持续性钠电流

运用全细胞膜片钳记录缺氧条件下豚鼠心室肌持续性钠电流(INa.P)的变化及施加药物对其的影响,以探讨 INa.P 的本质及缺氧增大 INa.P 的机制。结果显示:(1)在常氧条件下,一氧化氮(NO)前体 L- 精氨酸(L-Arg)和供体硝普钠(SNP)浓度依赖性地增大INa.P; (2)INa.P 随缺氧时间延长而增大, 缺氧15 min 后施加 NO 合酶(NOS)抑制剂L- 硝基精氨酸甲酯(L-NAME), 不能使增大的INa.P 明显回复[(1.344 ±0.320) vs (1.301 ±0.317) pA/pF, P>0.05, n=5]; (3)缺氧时含L-NAME 的灌流液可使INa.P 明显减小,与单纯缺氧相比有显著差异[(0.914 ± 0.263), n=5 vs (1.344 ± 0.320) pA/pF, n=6, P<0.05], 但仍比常氧条件下增大[(0.914 ±0.263) vs (0.497 ±0.149) pA/pF, P<0.05, n=5]; (4)还原剂1,4-二硫代苏糖醇(DTT)不但可使L-Arg 及缺氧后施加SNP 增大的 INa.P 回复[(1.449 ± 0.522) vs (0.414 ± 0.067) pA/pF, P<0.01, n = 6 和(0.436 ± 0.141) vs (1.786 ± 0.636) pA/pF,P<0.01, n=5],而且使正常的 INa.P 减小[(0.396 ± 0.057) pA/pF vs (0.442 ± 0.056) pA/pF, P<0.01, n=6]。本实验结果表明缺氧可增大心室肌细胞的INa.P, 其作用机制可能是缺氧时心肌产生的NO 通过氧化细胞膜上钠通道蛋白所致,正常INa.P 的产生     

Synchrotron-based infrared and X-ray imaging shows focalized accumulation of Cu and Zn co-localized with beta-amyloid deposits in Alzheimer's disease

Alzheimer's disease (AD) is characterized by the misfolding and plaque-like accumulation of a naturally occurring peptide in the brain called amyloid beta (Abeta). Recently, this process has been associated with the binding of metal ions such as iron (Fe), copper (Cu), and zinc (Zn). It is thought that metal dyshomeostasis is involved in protein misfolding and may lead to oxidative stress and neuronal damage. However, the exact role of the misfolded proteins and metal ions in the degenerative process of AD is not yet clear. In this study, we used synchrotron Fourier transform infrared micro-spectroscopy (FTIRM) to image the in situ secondary structure of the amyloid plaques in brain tissue of AD patients. These results were spatially correlated with metal ion accumulation in the same tissue sample using synchrotron X-ray fluorescence (SXRF) microprobe. For both techniques, a spatial resolution of 5-10 microm was achieved. FTIRM results showed that the amyloid plaques have elevated beta-sheet content, as demonstrated by a strong amide I absorbance at 1625cm(-1). Using SXRF microprobe, we find that AD tissue also contains "hot spots" of accumulated metal ions, specifically Cu and Zn, with a strong spatial correlation between these two ions. The "hot spots" of accumulated Zn and Cu were co-localized with beta-amyloid plaques. Thus for the first time, a strong spatial correlation has been observed between elevated beta-sheet content in Abeta plaques and accumulated Cu and Zn ions, emphasizing an association of metal ions with amyloid formation in AD.     

Language Differences in the Brain Network for Reading in Naturalistic Story Reading and Lexical Decision

Differences in how writing systems represent language raise important questions about whether there could be a universal functional architecture for reading across languages. In order to study potential language differences in the neural networks that support reading skill, we collected fMRI data from readers of alphabetic (English) and morpho-syllabic (Chinese) writing systems during two reading tasks. In one, participants read short stories under conditions that approximate natural reading, and in the other, participants decided whether individual stimuli were real words or not. Prior work comparing these two writing systems has overwhelmingly used meta-linguistic tasks, generally supporting the conclusion that the reading system is organized differently for skilled readers of Chinese and English. We observed that language differences in the reading network were greatly dependent on task. In lexical decision, a pattern consistent with prior research was observed in which the Middle Frontal Gyrus (MFG) and right Fusiform Gyrus (rFFG) were more active for Chinese than for English, whereas the posterior temporal sulcus was more active for English than for Chinese. We found a very different pattern of language effects in a naturalistic reading paradigm, during which significant differences were only observed in visual regions not typically considered specific to the reading network, and the middle temporal gyrus, which is thought to be important for direct mapping of orthography to semantics. Indeed, in areas that are often discussed as supporting distinct cognitive or linguistic functions between the two languages, we observed interaction. Specifically, language differences were most pronounced in MFG and rFFG during the lexical decision task, whereas no language differences were observed in these areas during silent reading of text for comprehension.     

Predicting protein fold types by the general form of Chou's pseudo amino acid composition: approached from optimal feature extractions

Identification on protein folding types is always based on the 27-class folds dataset, which was provided by Ding & Dubchak in 2001. But with the avalanche of protein sequences, fold data is also expanding, so it will be the inevitable trend to improve the existing dataset and expand more folding types. In this paper, we construct a multi-class protein fold dataset, which contains 3,457 protein chains with sequence identity below 35% and could be classified into 76 fold types. It was 4 times larger than Ding & Dubchak's dataset. Furthermore, our work proposes a novel approach of support vector machine based on optimal features. By combining motif frequency, low-frequency power spectral density, amino acid composition, the predicted secondary structure and the values of auto-correlation function as feature parameters set, the method adopts criterion of the maximum correlation and the minimum redundancy to filter these features and obtain a 95-dimensions optimal feature subset. Based on the ensemble classification strategy, with 95-dimensions optimal feature as input parameters of support vector machine, we identify the 76-class protein folds and overall accuracy measures up to 44.92% by independent test. In addition, this method has been further used to identify upgraded 27-class protein folds, overall accuracy achieves 66.56%. At last, we also test our method on Ding & Dubchak's 27-class folds dataset and obtained better identification results than most of the previous reported results.     

Metabolic alteration of the N-glycan structure of a protein from patients with a heterozygous protein deficiency

Glycosylation, an important post-translation modification, could alter biological activity or influence the clearance rates of glycoproteins. We report here the first example of a heterozygous protein deficiency leading to metabolic alteration of N-glycan structures in residual secreted protein. Analysis of C1 esterase inhibitor (C1INH) glycans from normal individuals and patients with hereditary deficiency of C1INH demonstrated identical O-glycan structures but the N-glycans of patients with a heterozygous genetic deficiency were small, highly charged and lacked sialidase releasable N-acetylneuraminic acid. Structural studies indicate that the charge character of these aberrant N-glycan structures may result from the presence of mannose-6-phosphate residues. These residues might facilitate secretion of C1INH through an alternate lysosomal pathway, possibly serving as a compensatory mechanism to enhance plasma levels of C1INH in these deficient patients.     

Topological constraints in nucleic acid hybridization kinetics

A theoretical examination of kinetic mechanisms for forming knots and links in nucleic acid structures suggests that molecules involving base pairs between loops are likely to become topologically trapped in persistent frustrated states through the mechanism of ‘helix-driven wrapping’. Augmentation of the state space to include both secondary structure and topology in describing the free energy landscape illustrates the potential for topological effects to influence the kinetics and function of nucleic acid strands. An experimental study of metastable complementary ‘kissing hairpins’ demonstrates that the topological constraint of zero linking number between the loops effectively prevents conversion to the minimum free energy helical state. Introduction of short catalyst strands that break the topological constraint causes rapid conversion to full duplex.     

利用假型反转录病毒对大部分胰腺切除后再生细胞的世系追踪

胰腺是一个重要的内外分泌混合腺, 胰腺发生损伤后能够再生。为了探讨胰腺活体细胞世系追踪的方法和胰腺损伤后再生细胞的来源,分别通过胰腺伤口涂抹并胰内注射、尾静脉注射及腹腔注射三种方法, 利用假型反转录病毒对成体小鼠大部分切除后胰腺的细胞进行世系追踪。结果发现在活体条件下, 与尾静脉注射及腹腔注射法相比, 胰腺伤口涂抹并胰腺内注射反转录病毒的方法能够更有效的标记胰腺细胞; 而且, 通过对标记细胞的世系追踪研究证明, 在胰腺损伤后, 胰腺腺泡细胞能够接受损伤信号刺激发生再生。为今后进一步利用反转录假病毒对活体胰腺进行细胞命运追踪研究奠定基础, 为利用反转录病毒载体进行胰腺疾病的基因治疗提供线索。