基因治疗研究中脂质体介导的基因转移技术

对于脂质体的深入研究特别是阳离子脂质体的研制使其逐步成为重要的基因转移载体之一,并且初步应用于基因治疗研究,同时多种靶向脂质体的研制也为体内靶向基因转移和表达奠定了基础。本文就脂质体的结构、功能、在基因治疗研究中的应用以及各种靶向脂质体的研制进行了介绍。     

基因治疗中外源基因的导入

基因治疗是将遗传物质导入靶细胞以达到治疗疾病的目的,目前基因治疗研究中的主要障碍是如何格外源基因导入靶细胞。本介绍基因治疗的原理和外源基因导入靶细胞时的常用方法,包括显微注射法、电穿孔法、基因枪粒子轰击法等。对基因治疗的现状、存在的问题及未来发展前景作了简要探讨。     

Functional gene networks based on the gene neighborhood in metagenomes

The gene neighborhood in prokaryotic genomes has been effectively utilized in inferring co-functional networks in various organisms. Previously, such genomic context information has been sought among completely assembled prokaryotic genomes. Here, we present a method to infer functional gene networks according to the gene neighborhood in metagenome contigs, which are incompletely assembled genomic fragments. Given that the amount of metagenome sequence data has now surpassed that of completely assembled prokaryotic genomes in the public domain, we expect benefits of inferring networks by the metagenome-based gene neighborhood. We generated co-functional networks for diverse taxonomical species using metagenomics contigs derived from the human microbiome and the ocean microbiome. We found that the networks based on the metagenome gene neighborhood outperformed those based on 1748 completely assembled prokaryotic genomes. We also demonstrated that the metagenome-based gene neighborhood could predict genes related to virulence-associated phenotypes in a bacterial pathogen, indicating that metagenome-based functional links could be sufficiently predictive for some phenotypes of medical importance. Owing to the exponential growth of metagenome sequence data in public repositories, metagenome-based inference of co-functional networks will facilitate understanding of gene functions and pathways in diverse species.     

真核基因的快速克隆及表达

以细胞间隙连接蛋白基因Cx26作为目的基因,通过T-A载体介导,构建真核表达重组载体pcDNA3.1( ) /Cx26,重组表达载体转染人鼻咽癌细胞株HNE1,表达Cx26间隙连接蛋白。     

Reshaping of global gene expression networks and sex-biased gene expression by integration of a young gene

New genes originate frequently across diverse taxa. Given that genetic networks are typically comprised of robust, co-evolved interactions, the emergence of new genes raises an intriguing question: how do new genes interact with pre-existing genes? Here, we show that a recently originated gene rapidly evolved new gene networks and impacted sex-biased gene expression in Drosophila. This 4–6 million-year-old factor, named Zeus for its role in male fecundity, originated through retroposition of a highly conserved housekeeping gene, Caf40. Zeus acquired male reproductive organ expression patterns and phenotypes. Comparative expression profiling of mutants and closely related species revealed that Zeus has recruited a new set of downstream genes, and shaped the evolution of gene expression in germline. Comparative ChIP-chip revealed that the genomic binding profile of Zeus diverged rapidly from Caf40. These data demonstrate, for the first time, how a new gene quickly evolved novel networks governing essential biological processes at the genomic level.     

The life and death of gene families

One of the unique insights provided by the growing number of fully sequenced genomes is the pervasiveness of gene duplication and gene loss. Indeed, several metrics now suggest that rates of gene birth and death per gene are only 10–40% lower than nucleotide substitutions per site, and that per nucleotide, the consequent lineage‐specific expansion and contraction of gene families may play at least as large a role in adaptation as changes in orthologous sequences. While gene family evolution is pervasive, it may be especially important in our own evolution since it appears that the “revolving door” of gene duplication and loss has undergone multiple accelerations in the lineage leading to humans. In this paper, we review current understanding of gene family evolution including: methods for inferring copy number change, evidence for adaptive expansion and adaptive contraction of gene families, the origins of new families and deaths of previously established ones, and finally we conclude with a perspective on challenges and promising directions for future research.     

基因功能研究方法浅介

随着人类基因组计划的进展,数据库中积累了越来越多未知功能的基因序列,分析这些基因的功能将成为基因组计划的主要任务。本介绍了几种研究特定基因功能的方法及程序。     

基于基因表达谱的疾病亚型特征基因挖掘方法

在本研究中,提出了一种基于基因表达谱的疾病亚型特征基因挖掘方法,该方法基于过滤后基因表达谱,融合无监督聚类识别疾病亚型技术和提出的衡量特征基因对疾病亚型鉴别能力的模式质量测度,以嵌入的方式实现特征基因挖掘。最后将提出的方法应用于40例结肠癌组织与22例正常结肠组织中2000个基因的表达谱实验数据,结果显示:提出的方法是一种可行的疾病亚型特征基因挖掘方法,方法的优势在于可并行实现疾病亚型划分和特征基因识别。     

Tumor-specific gene expression patterns with gene expression profiles

Gene expression profiles of 14 common tumors and their counterpart normal tissues were analyzed with machine learning methods to address the problem of selection of tumor-specific genes and analysis of their differential expressions in tumor tissues. First, a variation of the Relief algorithm, “RFE_Relief algorithm” was proposed to learn the relations between genes and tissue types. Then, a support vector machine was employed to find the gene subset with the best classification performance for distinguishing cancerous tissues and their counterparts. After tissue-specific genes were removed, cross validation experiments were employed to demonstrate the common deregulated expressions of the selected gene in tumor tissues. The results indicate the existence of a specific expression fingerprint of these genes that is shared in different tumor tissues, and the hallmarks of the expression patterns of these genes in cancerous tissues are summarized at the end of this paper.     

基因概念的演绎

“基因”术语的诞生已经有100年之久了。在这过去的100年里, 基因定义经过了许多次修正。基因由最初一个抽象的名词, 最后定义为基因组中一段具体的、可以编码蛋白质或RNA的DNA序列, 并成为了生物学最重要的词汇之一。但随着基因组计划完成, 尤其是“DNA元件百科全书”计划的完成, 基因组组成的复杂性和多样性, 以及其动力学特点对传统分子生物学的基因定义提出了挑战, 因为越来越多的证据表明: DNA水平储存的信息和功能产品之间的关系是非常复杂的, 甚至有人认为应该重新定义基因。文章对基因定义的发展, 近来对基因定义的争论及其研究进展做一论述。     

Pinaceae show elevated rates of gene turnover that are robust to incomplete gene annotation

Gene duplications and gene losses are major determinants of genome evolution and phenotypic diversity. The frequency of gene turnover (gene gains and gene losses combined) is known to vary between organisms. Comparative genomic analyses of gene families can highlight such variation; however, estimates of gene turnover may be biased when using highly fragmented genome assemblies resulting in poor gene annotations. Here, we address potential biases introduced by gene annotation errors in estimates of gene turnover frequencies in a dataset including both well‐annotated angiosperm genomes and the incomplete gene sets of four Pinaceae, including two pine species, Norway spruce and Douglas‐fir. We show that Pinaceae experienced higher gene turnover rates than angiosperm lineages lacking recent whole‐genome duplications. This finding is robust to both known major issues in Pinaceae gene sets: missing gene models and erroneous annotation of pseudogenes. A separate analysis limited to the four Pinaceae gene sets pointed to an accelerated gene turnover rate in pines compared with Norway spruce and Douglas‐fir. Our results indicate that gene turnover significantly contributes to genome variation and possibly to speciation in Pinaceae, particularly in pines. Moreover, these findings indicate that reliable estimates of gene turnover frequencies can be discerned in incomplete and potentially inaccurate gene sets. Because gymnosperms are known to exhibit low overall substitution rates compared with angiosperms, our results suggest that the rate of single‐base pair mutations is uncoupled from the rate of large DNA duplications and deletions associated with gene turnover in Pinaceae.     

Tumor-specific gene expression patterns with gene expression profiles

Gene expression profiles of 14 common tumors and their counterpart normal tissues were analyzed with machine learning methods to address the problem of selection of tumor-specific genes and analysis of their differential expressions in tumor tissues. First, a variation of the Relief algorithm, "RFE_Relief algorithm" was proposed to learn the relations between genes and tissue types. Then, a support vector machine was employed to find the gene subset with the best classification performance for distinguishing cancerous tissues and their counterparts. After tissue-specific genes were removed, cross validation experiments were employed to demonstrate the common deregulated expressions of the selected gene in tumor tissues. The results indicate the existence of a specific expression fingerprint of these genes that is shared in different tumor tissues, and the hallmarks of the expression patterns of these genes in cancerous tissues are summarized at the end of this paper.     

非病毒基因治疗的研究进展

非病毒基因治疗是相对于病毒性基因治疗而言,指采用非病毒的载体进行的基因治疗。非病毒的基因载体比病毒性基因载体具有高安全性、低免疫原性及易于生产的特点。本文就非病毒基因治疗所采用的主要方法、面蜂的主要问题及发展方向作一概括的介绍。随着人类对疾病发病分子机制的深入研究及人类基因组计划的实施,非病毒基因治疗将在人类疾病的治疗中发挥重要作用。     

Aerosol gene therapy

Gene therapy is a novel field of medicine that holds tremendous therapeutic potential for a variety of human diseases. Targeting of therapeutic gene delivery vectors to the lungs can be beneficial for treatment of various pulmonary diseases such as lung cancer, cystic fibrosis, pulmonary hypertension, alpha-1 antitrypsin deficiency, and asthma. Inhalation therapy using formulations delivered as aerosols targets the lungs through the pulmonary airways. The instant access and the high ratio of the drug deposited within the lungs noninvasively are the major advantages of aerosol delivery over other routes of administration. Delivery of gene formulations via aerosols is a relatively new field, which is less than a decade old. However, in this short period of time significant developments in aerosol delivery systems and vectors have resulted in major advances toward potential applications for various pulmonary diseases. This article will review these advances and the potential future applications of aerosol gene therapy technology.     

The relationship between gene dosage,gene expression,and sex in Drosophila

In Drosophila, the ratio of the number of X chromosomes to sets of other chromosomes initiates a series of events which result in sexual differentiation. In addition, this ratio establishes dosage compensation, a mechanism which equalizes the products of X-linked genes in males and females. The present review discusses possible genetic entities responsible for the interpretation of chromosomal sex and subsequent sex-mediated regulation during development.     

基因敲除小鼠技术的研究进展

基因敲除小鼠技术的建立和发展使得人们为研究基因的功能和寻找新的治疗人类疾病的靶点提供了强有力的支持。基因打靶和基因捕获是两种通过胚胎干细胞(Embryonicstemcell,ESC)构建基因敲除小鼠的技术。基因打靶通过同源重组替换内源基因从而敲除目的基因,而基因捕获则有启动子捕获和polyA捕获两种方法对目的基因进行敲除。近年来,有许多新的基因敲除技术不断被开发出来,包括Cre/loxP系统、CRISP/Cas9系统以及最新的ZFN技术和TAILEN技术,都有望取代传统基因敲除手段。文中简要阐述了如今新出现的几种基因敲除小鼠技术。     

基因兴奋剂

人类基因组计划的完成为基因治疗提供了依据,同时也给基因兴奋剂的产生创造了条件。本文通过综述基因兴奋剂的概念、产生的分子机制,讨论了可能被用作基因兴奋剂的基因,并从基因、转录和蛋白质三个水平探讨了基因兴奋剂的检测策略。     

猪sall4b基因的克隆及表达分析

sall4基因是sall基因家族的一个成员,在胚胎发育、器官形成和干细胞多能性的维持以及重建中都起到重要作用,有sall4a和sall4b两种剪切突变体类型。目前猪的sall4基因序列尚未获得。鉴于其在多能性细胞调控中的作用,对猪的sall4基因进行了克隆测序,并对其在各组织及胚胎中的表达进行了初步研究。通过5和3 RACE克隆得到猪sall4基因cDNA全长序列(2 372 bp),序列分析证明此基因编码的蛋白结构更接近于小鼠和人Sall4B亚型,同源性可达70%～80%,而与其他物种的Sall4A相比则缺少一段含锌指结构域的片段,同源性降至30%～55%。Real-time PCR证明猪sall4b基因广泛表达于猪的各种器官,其中除卵巢组织呈高量表达之外,脾、肺、心和睾丸表达量也相对较高;在早期胚胎发育过程中除4-细胞阶段相对表达量较低,其他阶段呈高量表达。免疫荧光跟踪Sall4在猪早期胚胎中的表达情况发现Sall4在着床前胚胎中全程表达并定位于细胞核中,在囊胚阶段基因表达趋向于定位在内细胞团中。表达分析证明sall4b基因与多能性紧密相关,预示着猪sall4b基因将可能作为新的重编程因子用于诱导猪多能干细胞的体系中。     

A gene selection algorithm based on the gene regulation probability using maximal likelihood estimation

A novel gene selection algorithm based on the gene regulation probability is proposed. In this algorithm, a probabilistic model is established to estimate gene regulation probabilities using the maximum likelihood estimation method and then these probabilities are used to select key genes related by class distinction. The application on the leukemia data-set suggests that the defined gene regulation probability can identify the key genes to the acute lymphoblastic leukemia (ALL)/acute myeloid leukemia (AML) class distinction and the result of our proposed algorithm is competitive to those of the previous algorithms.