人成体心源间充质样细胞表型分析及向心脏谱系诱导分化潜能的研究

目的探讨成人心源性间充质样细胞 (CDMCs)的分子表型及向心脏谱系的分化潜能。方法实验分为:不同培养时间CDMCs (第3、5、7代),并以脐带间充质干细胞 (UCMSCs)为对照。分析各细胞分子表型并向心脏谱系诱导分化。显微镜观察细胞形态;计算生长倍增时间并绘制细胞生长曲线;流式细胞术分析表面标志抗原表达;实时定量PCR和Western blot分别测干细胞多能分子及组织特异性分子mRNA和蛋白表达。结果采用重复测量资料方差分析、单因素方差分析和配对t检验。结果 CDMCs具有UCMSCs形态特征与增殖能力,体外培养1 ~ 7 d,与UCMSCs比较,P3、5、7代CDMCs增殖能力差异无统计学意义 (P> 0.05)。与UCMSCs相比,不同培养时间CDMCs表面标志抗原 (CD90)表达 (冻存前:97.13%±2.00%比59.87%±34.14%、38.83%±11.04%、34.77±14.78%;冻存后:99.83%±0.17%比56.00%±19.47%、47.48±11.88%、41.15±8.68%)降低(P< 0.05)。与UCMSCs相比,不同培养时间CDMCs中Rex1 (0.00±0.00比0.68±0.50、0.29±0.17、0.38±0.50)、Oct3/4 (1.00±0.02比5.28±0.78、3.88±0.95、3.63±0.34)、Nanog(1.00±0.16比7.57±4.69、5.40±3.58、5.34±0.76)以及心脏特异转录因子Nkx2.5 (1.00±0.12比30.60±22.43、19.69±9.65、8.82±4.94)、Gata4 (1.00±0.85比60467±25266、44350±25800、35067±23113)表达均增高,差异有统计学意义 (P均< 0.05)。与诱导前比较,向心肌诱导分化15 d后,不同培养时间CDMCs中cTnT蛋白表达水平 (0.40±0.13比0.98±0.16、0.38±0.18 比0.69±0.15、0.17±0.11比0.70±0.17)增高 (P< 0.05)。结论 CDMCs不仅具备部分干细胞和间充质细胞表型,还具有心脏组织特异性。其具备心脏谱系分化潜能,心肌细胞分化能力可能优于UCMSCs。     

利用表型芯片系统高通量分析H37Ra与H37Rv差异表型

H37Rv是结核分枝杆菌标准有毒株,H37Ra是从H37Rv获得的稳定减毒株,但目前H37Ra毒力减弱原因尚不完全清楚。本研究利用表型芯片系统,高通量分析H37Ra生长表型,并与H37Rv表型比较,筛选两菌株表型差异,分析与H37Ra毒力减弱可能的相关表型及分子机制。结果发现,与H37Rv相比,H37Ra耐酸及耐渗透压能力显著下降,且不能利用丁二酸单甲酯和吐温40作为碳源。结核分枝杆菌耐酸能力直接影响其在吞噬体中的生存和代谢,耐高渗能力影响其必需营养物质的跨膜运输,代谢途径的改变影响其在宿主内的能量摄取,三者改变均可能与H37Ra毒力减弱相关。     

云南水稻地方品种月亮谷的群体多样性分析

月亮谷是云南元阳梯田种植历史悠久、种植面积最大的优良水稻地方品种之一,当地少数民族具有引种或换种的稻作习惯。为揭示这种稻作习惯对月亮谷群体遗传多样性的影响,本研究对该品种群体内和群体间进行了遗传多样性的比较和分析,目的是为更好地了解月亮谷的群体遗传结构,为持久利用地方品种提供理论依据。首先采用分层随机取样的策略从元阳梯田不同海拔获得24个原位栽培群体,采用形态指数分类法和抗病性测定对24个群体共720个单株样品的月亮谷进行形态学分类和稻瘟病抗性鉴定,并分析了这些单株材料在48个SSR位点的遗传多样性。研究结果表明,形态上月亮谷属于栽培稻的籼稻类型,其群体对稻瘟病具中抗水平,但无论是在群体内还是群体间,均普遍表现出明显差异,说明不同来源的月亮谷存在抗病功能表型上的变异;遗传多样性分析显示,48对SSR引物共检测出91个多态位点,多态性位点百分率为77.08%,Nei多样性指数平均值为0.064,变幅为0~0.4302。24个群体之间的遗传相似系数在0.9753~0.9866之间,群体内个体之间的遗传相似系数在0.86~1.00之间;AMOVA分析显示,以地理村寨作为自然居群单位,居群间的变异为3.36%,居群内群体间的变异为33.15%,居群内的变异为63.49%;聚类分析显示,村寨群体间的遗传多样性与村寨间的地理空间距离有一定相关性。     

Variation, natural selection, and information content--a simulation

In Neo-Darwinism, variation and natural selection are the two evolutionary mechanisms that propel biological evolution. Variation implies changes in the gene pool of a population, enlarging the genetic variability from which natural selection can choose. But in the absence of natural selection, variation causes dissipation and randomization. Natural selection, in contrast, constrains this variability by decreasing the survival and fertility of the less-adapted organisms. The objective of this study is to propose a highly simplified simulation of variation and natural selection, and to relate the observed evolutionary changes in a population to its information content. The model involves an imaginary population of individuals. A quantifiable character allows the individuals to be categorized into bins. The distribution of bins (a histogram) was assumed to be Gaussian. The content of each bin was calculated after one to twelve cycles, each cycle spanning N generations (N being undefined). In a first study, selection was simulated in the absence of variation. This was modeled by assuming a differential fertility factor F that increased linearly from the lower bins (F<1.00) to the higher bins (F>1.00). The fertility factor was applied as a multiplication factor during each cycle. Several ranges of fertility were investigated. The resulting histograms became skewed to the right. In a second study, variation was simulated in the absence of selection. This was modeled by assuming that during each cycle each bin lost a fixed percentage of its content (variation factor Y) to its two adjacent bins. The resulting histograms became broader and flatter, while retaining their bilateral symmetry. Different values of Y were monitored. In a third study, various values of F and Y were combined. Our model allows the straightforward application of Shannon's equation and the calculation of a Shannon-entropy (SE) values for each histogram. Natural selection was, thus, shown to result in a progressive decrease in SE as a function of F. In other words, natural selection, when acting alone, progressively increased the information content of the population. In contrast, variation resulted in a progressive increase in SE as a function of Y. In other words, variation acting alone progressively decreased the information content of a population. When both factors, F and Y, were applied simultaneously, their relative weight determined the progressive change in SE.     

Contribution of NDH-dependent cyclic electron transport around photosystem I to the generation of proton motive force in the weak mutant allele of pgr5

In angiosperms, cyclic electron transport (CET) around photosystem I (PSI) consists of two pathways, depending on PGR5/PGRL1 proteins and the chloroplast NDH complex. In single mutants defective in chloroplast NDH, photosynthetic electron transport is only slightly affected at low light intensity, but in double mutants impaired in both CET pathways photosynthesis and plant growth are severely affected. The question is whether this strong mutant phenotype observed in double mutants can be simply explained by the additive effect of defects in both CET pathways. In this study, we used the weak mutant allele of pgr5-2 for the background of double mutants to avoid possible problems caused by the secondary effects due to the strong mutant phenotype. In two double mutants, crr2-2 pgr5-2 and ndhs-1 pgr5-2, the plant growth was unaffected and linear electron transport was only slightly affected. However, NPQ induction was more severely impaired in the double mutants than in the pgr5-2 single mutant. A similar trend was observed in the size of the proton motive force. Despite the slight reduction in photosystem II parameters, PSI parameters were severely affected in the pgr5-2 single mutant, the phenotype that was further enhanced by adding the NDH defects. Despite the lack of ?pH-dependent regulation at the cytochrome b₆f complex (donor-side regulation of PSI), the plastoquinone pool was more reduced in the double mutants than in the pgr5-2 single mutants. This phenotype suggests that both PGR5/PGRL1- and NDH-dependent CET contribute to supply sufficient acceptors from PSI by balancing the ATP/NADPH production ratio.     

Genetic mappings in artificial genomes

This paper concerns processing of genomes of artificial (computer-simulated) organisms. Of special interest is the process of translation of genotypes into phenotypes, and utilizing the mapping information obtained during such translation. If there exists more than one genetic encoding in a single artificial life model, then the translation may also occur between different encodings. The obtained mapping information allows to present genes-phenes relationships visually and interactively to a person, in order to increase understanding of the genotype-tophenotype translation process and genetic encoding properties. As the mapping associates parts of the source sequence with the translated destination, it may be also used to trace genes, phenes, and their relationships during simulated evolution. A mappings composition procedure is formally described, and a simple method of visual mapping presentation is established. Finally, advanced visualizations of gene-phene relationships are demonstrated as practical examples of introduced techniques. These visualizations concern genotypes expressed in various encodings, including an encoding which exhibits polygenic and pleiotropic properties.     

Global nutritional profiling for mutant and chemical mode-of-action analysis in filamentous fungi

We describe a method for gene function discovery and chemical mode-of-action analysis via nutrient utilization using a high throughput Nutritional Profiling platform suitable for filamentous microorganisms. We have optimized the growth conditions for each fungal species to produce reproducible optical density growth measurements in microtiter plates. We validated the Nutritional Profiling platform using a nitrogen source utilization assay to analyze 21 Aspergillus nidulans strains with mutations in the master nitrogen regulatory gene, areA. Analysis of these data accurately reproduced expected results and provided new data to demonstrate that this platform is suitable for fine level phenotyping of filamentous fungi. Next, we analyzed the differential responses of two fungal species to a glutamine synthetase inhibitor, illustrating chemical mode-of-action analysis. Finally, a comparative phenotypic study was performed to characterize carbon catabolite repression in four fungal species using a carbon source utilization assay. The results demonstrate differentiation between two Aspergillus species and two diverse plant pathogens and provide a wealth of new data on fungal nutrient utilization. Thus, these assays can be used for gene function and chemical mode-of-action analysis at the whole organism level as well as interspecies comparisons in a variety of filamentous fungi. Additionally, because uniform distribution of growth within wells is maintained, comparisons between yeast and filamentous forms of a single organism can be performed.Electronic Supplementary Material Supplementary material is available in the online version of this article at The revised version of the PDF file was published online in January 2004. The figures are now in color.An erratum to this article can be found at     

Phenotypic biomonitoring using multivariate flow cytometric analysis of multi-stained microorganisms

A new method for monitoring phenotypic profiles of pure cultures and complex microbial communities was evaluated. The approach was to stain microorganisms with a battery of fluorescent dyes prior to flow cytometry analysis (FCM) and to analyse the data using multivariate methods, including principal component analysis and partial least squares. The FCM method was quantitatively evaluated using different mixtures of pure cultures as well as microbial communities. The results showed that the method could quantitatively and reproducibly resolve both populations and communities of microorganisms with 5% abundance in a diverse microbial background. The feasibility of monitoring complex microbial communities over time during the biodegradation of naphthalene using the FCM method was demonstrated. The biodegradation of naphthalene occurred to differing extents in microcosms representing three different types of aromatic-contaminated groundwater and a sample of bio-basin water. The FCM method distinguished each of these four microbial communities. The phenotypic profiles were compared with genotypic profiles generated by random-amplified polymorphic DNA analysis. The genotypic profiles of the microbial communities described only the microbial composition, and not their functional change, whereas the phenotypic profiles seemed to contain information on both the composition and the functional change of the microorganisms. Furthermore, event analysis of the FCM data showed that microbial communities with initially differing compositions could converge towards a similar composition if they had a capacity for high levels of degradation, whereas microbial communities with similar initial compositions could diverge if they differed in biodegrading ability.