环境因子对荒漠沙蜥种群密度影响的研究

本文研究人类改造荒漠的活动,植被,潜在的可利用的食物资源,竞争种的密度,土壤理化性质等坏境因子对荒漠沙蜥种群密度的影响。结果说明：人类的活动对沙蜥种群密度没有显著影响;决定沙蜥种群密度的主导因子是潜在的可利用的食物资源,植被,土壤含水量,竞争种的密度。这些因子的任何改变都能改变沙蜥的种群密度,均具有调节种群的作用。     

G2 phase cell cycle disturbance as a manifestation of genetic cell damage

The predominant cell cycle change induced by X-rays and clastogens in peripheral blood mononuclear cells is the accumulation of cells in the G2 phase of the cell cycle. We show that this accumulation consists of cells that are either delayed or arrested within the G2 phase. Since both X-rays and DNA crosslinking chemicals are known to damage DNA, the G2 phase inhibition caused by these agents is thought to be one of the primary manifestations of (unrepaired) DNA damage. This interpretation is supported by two additional findings. (1) Older individuals have elevated baseline levels of mononuclear blood cells that are delayed and/or arrested in the G2 phase of the cell cycle. This coincides with the increased chromosomal breakage rates reported for older individuals. (2) Irrespective of their age, individuals with inherited genetic instability syndromes (such as Fanconi anemia and Bloom syndrome) exhibit elevated G2 phase cell fractions. We show that the method used to detect such induced or spontaneous cell cycle changes, viz. BrdU-Hoechst flow cytometry, is a rapid and highly sensitive technique for the assessment of genetic cell damage.Dedicated to Professor Ulrich Wolf on the occasion of his 60th birthday     

大鼠胰腺γ-氨基丁酸免疫组织化学定位

本文用ABC—GDN免疫组织化学方法,研究了γ-氨基丁酸(Gamma—Aminobutyric Acid,GABA)在大鼠胰腺的定位和分布,并用相邻切片法,观察它与胰岛素的共存关系。结果发现GABA免疫反应阳性细胞主要分布于胰腺内分泌部(胰岛)。在外分泌部亦有少许分布。大部分胰岛细胞呈GABA免疫反应阳性,集中位于胰岛的中央部。相邻连续切片免疫染色证实GABA与胰岛素共存于胰岛B细胞中。外分泌部胰腺GABA免疫反应阳性细胞,呈零散分布于腺泡和导管上皮间。本文为进一步探讨GABA在胰腺的生理作用提供了形态学依据。     

Metabolism of leukotriene B4 by guinea pig eosinophils

The metabolism of leukotriene B₄ (5(S),12(R)-dihydroxy-6-cis-8,10-trans-14-cis-eicosatetraenoic acid) by isolated guinea pig eosinophils was investigated. Incubation of guinea pig eosinophils with [³H]-leukotriene B₄ resulted in the rapid conversion of leukotriene B₄ to several more polar metabolites. Two of these metabolites were identified by ultraviolet spectroscopy and gas chromatography-mass spectrometry as the omega oxidation products 5(S),12(R),20-trihydroxy-6,8,10,14-eicosatetraenoic acid (20-hydroxy-leukotriene B₄) and 5(S),12(R),19-trihydroxy-6,8,10,14-eicosatetraenoic acid (19-hydroxy-leukotriene B₄). Two novel metabolites, 5(S),12(R),18,19-tetrahydroxy-6,8,10,14 eicosatetraenoic acid (18,19-dihydroxy-leukotriene B₄) and 5(S),12(R)-dihydroxy-1,18-dicarboxylic-6,8,10,14,16-octadecapentaenoic acid (Δ16,17–18-carboxy-19,20-dinor-leukotriene B₄) were tentatively identified. The identification of these compounds indicates that guinea pig eosinophils are capable of metabolizing leukotriene B₄ by both omega and beta oxidation. This catabolic activity may play a role in modulating inflammatory reactions by removing the chemoattractant leukotriene B₄ from inflammatory sites.     

Associating somatic mutation with clinical outcomes through kernel regression and optimal transport

Somatic mutations in cancer patients are inherently sparse and potentially high dimensional. Cancer patients may share the same set of deregulated biological processes perturbed by different sets of somatically mutated genes. Therefore, when assessing the associations between somatic mutations and clinical outcomes, gene-by-gene analysis is often under-powered because it does not capture the complex disease mechanisms shared across cancer patients. Rather than testing genes one by one, an intuitive approach is to aggregate somatic mutation data of multiple genes to assess their joint association with clinical outcomes. The challenge is how to aggregate such information. Building on the optimal transport method, we propose a principled approach to estimate the similarity of somatic mutation profiles of multiple genes between tumor samples, while accounting for gene–gene similarities defined by gene annotations or empirical mutational patterns. Using such similarities, we can assess the associations between somatic mutations and clinical outcomes by kernel regression. We have applied our method to analyze somatic mutation data of 17 cancer types and identified at least five cancer types, where somatic mutations are associated with overall survival, progression-free interval, or cytolytic activity.     

Chromosomal localization of uroplakin genes of cattle and mice

The asymmetric unit membrane (AUM) of the apical surface of mammalian urinary bladder epithelium contains several major integral membrane proteins, including uroplakins IA and IB (both 27 kDa), II (15 kDa), and III (47 kDa). These proteins are synthesized only in terminally differentiated bladder epithelial cells. They are encoded by separate genes and, except for uroplakins IA and IB, appear to be unrelated in their amino acid sequences. The genes encoding these uroplakins were mapped to chromosomes of cattle through their segregation in a panel of bovine x rodent somatic cell hybrids. Genes for uroplakins IA, IB, and II were mapped to bovine (BTA) Chromosomes (Chrs) 18 (UPK1A), 1 (UPK1B), and 15 (UPK2), respectively. Two bovine genomic DNA sequences reactive with a uroplakin III cDNA probe were identified and mapped to BTA 6 (UPK3A) and 5 (UPK3B). We have also mapped genes for uroplakins 1A and II in mice, to the proximal regions of mouse Chr 7 (Upk1a) and 9 (Upk2), respectively, by analyzing the inheritance of restriction fragment length variants in recombinant inbred mouse strains. These assignments are consistent with linkage relationships known to be conserved between cattle and mice. The mouse genes for uroplakins IB and III were not mapped because the mouse genomic DNA fragments reactive with each probe were invariant among the inbred strains tested. Although the stoichiometry of AUM proteins is nearly constant, the fact that the uroplakin genes are unlinked indicates that their expression must be independently regulated. Our results also suggest likely positions for two human uroplakin genes and should facilitate further analysis of their possible involvement in disease.     

汉族ABO血型的皮纹特征分析

作者对芜湖地区３８２例（男２２０人;女１６２人）汉族ＡＢＯ血型的皮纹特征进行了分析,其中Ｏ型１３０人,Ａ型１１３人,Ｂ型１０１人,ＡＢ型３８人。分析比较了指纹类型、指纹组合格局、指嵴纹计数、掌嵴纹计数、ａｔｄ角,掌部真实花纹,掌褶纹和拇趾球纹等项参数,结果表明,ＡＢＯ各血型的皮纹参数间有若干统计学差异。