RNA干涉与基因沉默

双链RNA介导的遗传干涉的机制是1998年发现的,它通过双链RNA的介导特异性地降解相应序列的mRNA,从而导致转录后水平的基因沉默,到目前为止的真菌,拟南芥,线虫,锥虫,水螅,涡虫,果蝇,斑马鱼,小鼠等真核生物中都发现存在这一基因沉默机制,目前的研究表明,RNA干涉与植物中的共抑制（Cosuppression),真菌中的基因压制（quelling)很可能具有共同的基本分子机制,这也说明,很可能在进化的很早期阶段,生物就获得了这种机制,RNA干涉对于抵抗病毒入侵,抑制转座子活动等具有重要作用,对于生物体的发育和基因调控可能也有重要作用。     

RNA干涉在纤毛虫中的研究进展

RNA干涉是dsRNA介导的基因沉默现象,本文简要介绍了其作用的机制和生物学意义,重点阐述了RNA干涉在原生动物纤毛虫中的发现与应用,比较了RNA干涉与纤毛虫大核基因组重排机理的异同,并对RNA干涉在纤毛虫中传输的技术途径-RNAi喂饲法的原理也做了详细的介绍。     

RNA干涉的分子机制及技术研究进展

RNA干涉(RNA interference,RNAi)现象广泛存在于从真菌到植物、从无脊椎动物到哺乳动物的各种生物中,属于转录后水平的基因沉默(PTGS)。它利用双链RNA(dsRNA)特异性地降解相应序列的mRNA成为siRNA,从而特异性地阻断相应基因的表达,本重点介绍了RNA干涉的分子机制及技术应用等方面的进展,RNA干涉在后基因组时代的基因功能研究和药物开发中将具有广阔的发展前景。     

RNA干涉的研究进展

生物体内导入双链RNA后会引起体内同源基因特异性的沉默,这种现象称为RNA干涉,本主要介绍RNA干涉的研究历史,作用机制和应用等方面的情况。     

RNA干扰抗病毒研究进展

RNA干扰(RNA Interfering,RNAi),又称RNA干涉,是一种由双链RNA介导的、转录后mRNA水平关闭相应基因表达的序列特异性基因沉默机制,它也是体内基因组抵御外在感染和内部转座的一种保护机制,广泛存在于各种生物,如植物、真菌、昆虫、后生动物和哺乳动物,包括人类。     

RNA干涉与干细胞

RNA干涉(RNAi)现象普遍存在于生物体细胞中,在理论上已清楚其分子机制,为干细胞研究提供了新的方法。现从RNAi的分子机制、干细胞中的RNAi现象、研究干细胞RNAi效应的方法以及小分子干涉RNA(siRNA)干涉干细胞特异功能基因的检测方法等方面进行了综述。表明应用RNAi技术研究基因功能和干细胞维持及定向分化的调控具有广阔的发展前景。     

RNA干涉分子机制研究进展

RNA干涉（RNA interference,RNAi）是生物体内的一种通过双链RNA(dsRNA)来抵抗病毒入侵和抑制转座子活动的自然机制.双链RNA与同源mRNA互补结合而使特定基因失活,这一过程已经在包括拟南芥、线虫和真菌等多种模式生物中得到揭示.近来研究表明,21～25 nt的小干涉RNA（small interference RNA, siRNA）可介导哺乳动物细胞特异性基因沉默.RNAi具有高效性和高度特异性,可能成为关闭基因的新技术而在基因功能研究和疾病基因治疗中发挥重要作用.     

COS-7细胞中小发卡RNA介导的RNA干涉

利用U6启动子转录小发卡RNA介导的RNA干涉是最近发展起来的在哺乳动物细胞中特异性抑制指定基因表达的新技术,已有实验证明它在小鼠畸胎瘤P19等细胞系中具有强烈的抑制基因表达的作用。本文对COS－7细胞系中U6启动子转录GFP基因的小发卡RNA介导的RNA干涉现象进行了研究,结果表明：U6启动子转录的小发卡RNA具有RNA干涉作用,即可以在COS－7细胞中特异性地抑制含有对应序列的基因GFP的表达,这一结果为今后在COS－7细胞系中利用RNA干涉技术研究目的基因的功能奠定了基础。     

RNA干涉技术(RNAi)应用研究进展

RNA干涉是通过双链RNA的介导特异性地降解相应序列的mRNA,从而导致转录后水平的基因沉默,这一过程在拟南芥、线虫和真菌等多种模式植物中发现。RNAi是研究多种生物基因功能的有效手段,本文综述了RNA干涉的分子机理及其应用研究进展。     

基因捕捉及其在植物基因分离和功能基因组学上的应用

基因捕捉是一种报告基因的随机整合技术。基因捕捉系统已成为分离基因、鉴定基因功能的重要手段。基因捕捉(gene traps)包括增强子捕捉(enhancer trap)、启动子捕捉(promoter trap)和基因捕捉(gene trap),通称为基因捕捉(gcne traps)。在增强子捕捉中,报告基因与一个基本启动子融合,这个启动子不能使报告基因表达,但可被临近的增强子激活。在启动子捕捉和基因捕捉中,报告基因的启动子被去除,融合基因只有以正确的方向插入到转录单元内才能表达。对基因捕捉系统的结构特征、构建方法、应用范围、研究现状和应用前景等作了系统论述,并对有关问题进行了讨论。     

The problem of the gene

During the early 20th century the diverse practices of genetics were unified by the concept of the gene. This classical gene was simultaneously a unit of structure, function, mutation, and recombination. Starting in the 1940s, however, the classical gene began to fragment. Today when we speak of a gene for some malady, a regulatory gene, a structural gene, or a gene frequency, it is entirely possible that we are deploying different gene concepts even though we are using the same term. The problem of the gene addresses the fragmentation of the classical gene concept by asking to what extent a comprehensive and unifying gene concept is possible or desirable. Fully comprehensive gene concepts seem untenable today, but, within different disciplinary domains, unifying, but non-comprehensive, gene concepts can be epistemically worthwhile. The problem of the gene persists, however, not because of its epistemic value, but because of its political value. Using both the arguments for newly proposed gene concepts and the historical dispute over the classical gene, I argue that the desirability of gene concepts rests in part on the political ramifications of their deployment and contestation.     

Identifying Gene Interaction Enrichment for Gene Expression Data

Gene set analysis allows the inclusion of knowledge from established gene sets, such as gene pathways, and potentially improves the power of detecting differentially expressed genes. However, conventional methods of gene set analysis focus on gene marginal effects in a gene set, and ignore gene interactions which may contribute to complex human diseases. In this study, we propose a method of gene interaction enrichment analysis, which incorporates knowledge of predefined gene sets (e.g. gene pathways) to identify enriched gene interaction effects on a phenotype of interest. In our proposed method, we also discuss the reduction of irrelevant genes and the extraction of a core set of gene interactions for an identified gene set, which contribute to the statistical variation of a phenotype of interest. The utility of our method is demonstrated through analyses on two publicly available microarray datasets. The results show that our method can identify gene sets that show strong gene interaction enrichments. The enriched gene interactions identified by our method may provide clues to new gene regulation mechanisms related to the studied phenotypes. In summary, our method offers a powerful tool for researchers to exhaustively examine the large numbers of gene interactions associated with complex human diseases, and can be a useful complement to classical gene set analyses which only considers single genes in a gene set.     

The small MbtH-like protein encoded by an internal gene of the balhimycin biosynthetic gene cluster is not required for glycopeptide production

The balhimycin biosynthetic gene cluster of the glycopeptide producer Amycolatopsis balhimycina includes a gene (orf1) with unknown function. orf1 shows high similarity to the mbtH gene from Mycobacterium tuberculosis. In almost all nonribosomal peptide synthetase (NRPS) biosynthetic gene clusters, we could identify a small mbtH-like gene whose function in peptide biosynthesis is not known. The mbtH-like gene is always colocalized with the NRPS genes; however, it does not have a specific position in the gene cluster. In all glycopeptide biosynthetic gene clusters the orf1-like gene is always located downstream of the gene encoding the last module of the NRPS. We inactivated the orf1 gene in A. balhimycina by generating a deletion mutant. The balhimycin production is not affected in the orf1-deletion mutant and is indistinguishable from that of the wild type. For the first time, we show that the inactivation of an mbtH-like gene does not impair the biosynthesis of a nonribosomal peptide.     

Early Expression of a Trypanosoma brucei VSG Gene Duplicated from an Incomplete Basic Copy

Intrachromosomal variant surface glycoprotein (VSG) genes in Trypanosoma brucei are expressed by a mechanism involving gene conversion. The 3'boundary of gene conversion is usually within the last 130 bp of the VSG gene, a region of partially conserved sequences. We report here the loss of the predominant telomeric A VSG gene in the cloned variant antigenic type (VAT) 5^A3, leaving only an intrachromosomal A VSG gene (the A-B gene). The nucleotide sequence of the A-B VSG gene reveals that it lacks the normal VSG 3' sequence. Surprisingly, we find cells expressing this A-B VSG gene in relapse populations arising from VAT 5^A3. Since the A VSG mRNAs from these cells have a normal 3' sequence, the incomplete A-B VSG gene must be expressed via a partial gene conversion that supplies the functional 3'end. Although the A-B VSG gene is no longer predominant like the telomeric A VSG gene, it is still expressed more frequently than other intrachromosomal VSG genes, suggesting that factors other than a telomeric location determine whether a VSG gene is expressed early in a serodeme.     

利用套叠PCR技术进行基因突变和拼接

利用套叠PCR技术（又称重叠区扩增基因拼接法）对hGM-CSF基因内第28位氨基酸处的糖基化位点进行突变和进行人促性腺激素基因,腺苷酸激酶短肽与胰岛素样生长因子－基因三者之间的拼接,结果表明采用该技术能在体外实行有效的基因重组和定点突变,其成功率为100％,这一技术不需要内切酶消化和连接酶处理,技术操作员简单易行,在基因拼接,基因内部突变方面具有良好的应用价值。     

A fusion gene in man: DNA sequence analysis of the abnormal globin gene of Hemoglobin Miyada

An abnormal globin gene from a patient heterozygous for Hemoglobin Miyada was cloned and sequenced. The results indicated that the 5′ flanking region and the 5′ side of the gene were identical to those of a β-globin gene and that the 3′ side was identical to that of a γ-globin gene. The part of the gene identical to a β-globin gene shifted to the part identical to the δ-globin gene somewhere in a homologous sequence region between the third nucleotide of the 17th codon and the second nucleotide of the 22nd codon of these two genes. Thus, results of analysis of the nucleotide sequence support the idea that the abnormal globin gene of Hemoglobin Miyada was generated as a fusion gene by unequal crossing over between a β- and a δ-globin gene.     

From gene trees to species trees II: species tree inference by minimizing deep coalescence events

When gene copies are sampled from various species, the resulting gene tree might disagree with the containing species tree. The primary causes of gene tree and species tree discord include incomplete lineage sorting, horizontal gene transfer, and gene duplication and loss. Each of these events yields a different parsimony criterion for inferring the (containing) species tree from gene trees. With incomplete lineage sorting, species tree inference is to find the tree minimizing extra gene lineages that had to coexist along species lineages; with gene duplication, it becomes to find the tree minimizing gene duplications and/or losses. In this paper, we present the following results: 1) The deep coalescence cost is equal to the number of gene losses minus two times the gene duplication cost in the reconciliation of a uniquely leaf labeled gene tree and a species tree. The deep coalescence cost can be computed in linear time for any arbitrary gene tree and species tree. 2) The deep coalescence cost is always not less than the gene duplication cost in the reconciliation of an arbitrary gene tree and a species tree. 3) Species tree inference by minimizing deep coalescence events is NP-hard.     

Evolutionary significance of gene expression divergence

Recent large-scale studies of evolutionary changes in gene expression among mammalian species have led to the proposal that gene expression divergence may be neutral with respect to organismic fitness. Here, we employ a comparative analysis of mammalian gene sequence divergence and gene expression divergence to test the hypothesis that the evolution of gene expression is predominantly neutral. Two models of neutral gene expression evolution are considered: 1-purely neutral evolution (i.e., no selective constraint) of gene expression levels and patterns and 2-neutral evolution accompanied by selective constraint. With respect to purely neutral evolution, levels of change in gene expression between human-mouse orthologs are correlated with levels of gene sequence divergence that are determined largely by purifying selection. In contrast, evolutionary changes of tissue-specific gene expression profiles do not show such a correlation with sequence divergence. However, divergence of both gene expression levels and profiles are significantly lower for orthologous human-mouse gene pairs than for pairs of randomly chosen human and mouse genes. These data clearly point to the action of selective constraint on gene expression divergence and are inconsistent with the purely neutral model; however, there is likely to be a neutral component in evolution of gene expression, particularly, in tissues where the expression of a given gene is low and functionally irrelevant. The model of neutral evolution with selective constraint predicts a regular, clock-like accumulation of gene expression divergence. However, relative rate tests of the divergence among human-mouse-rat orthologous gene sets reveal clock-like evolution for gene sequence divergence, and to a lesser extent for gene expression level divergence, but not for the divergence of tissue-specific gene expression profiles. Taken together, these results indicate that gene expression divergence is subject to the effects of purifying selective constraint and suggest that it might also be substantially influenced by positive Darwinian selection.