渐狭叶烟草高效基因编辑体系的建立

渐狭叶烟草(Nicotiana attenuata)是烟草属植物中研究植物与昆虫、植物与病原菌互作的模式植物。本研究以八氢番茄红素脱氢酶基因(PDS)为靶标基因,建立一套以pHSE401为基因编辑载体,以潮霉素为抗性筛选标记的渐狭叶烟草高效基因编辑体系。利用该体系,获得PDS基因约80%的基因编辑效率,远远超过目前在渐狭叶烟草中报道的约30%的基因编辑效率。进一步使用WRKY70基因为靶标,对该体系对进行编辑效率验证,经测序发现WRKY70基因编辑材料中的基因编辑效率为83%,其中发生大片段缺失突变的频率为50%。因此,本研究成功建立了渐狭叶烟草高效基因编辑体系,为以后渐狭叶烟草的基因功能研究奠定基础。     

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.     

In silico identification of short nucleotide sequences associated with gene expression of pollen development in rice

Microarray analysis of tiny amounts of RNA extracted from plant section samples prepared by laser microdissection (LM) can provide high-quality information on gene expression in specified plant cells at various stages of development. Having joined the LM-microarray analysis project, we utilized such genome-wide gene expression data from developing rice pollen cells to identify candidates for cis-regulatory elements for specific gene expression in these cells. We first found a few clusters of gene expression patterns based on the data from LM-microarrays. On one gene cluster in which the members were specifically expressed at the bicellular and mature pollen mitotic stages, we identified gene cluster fingerprints (GCFs), each of which consists of a short nucleotide representing the gene cluster. We expected that these GCFs would contain cis-regulatory elements for stage- and tissue-specific gene expression, and we further identified groups of GCFs with common core sequences. Some criteria, such as frequency of occurrence in the gene cluster in contrast to the total tested gene set, flanking sequence preference and distribution of combined GCF sets in the gene regions, allowed us to limit candidates for cis-regulatory sequences for specific gene expression in rice pollen cells to at least 20 sets of combined GCFs. This approach should provide a general purpose algorithm for identifying short nucleotides associated with specific gene expression.     

Lentiviral Vector-Mediated Gene Transfer and RNA Silencing Technology in Neuronal Dysfunctions

Lentiviral-mediated gene transfer in vivo or in cultured mammalian neurons can be used to address a wide variety of biological questions, to design animals models for specific neurodegenerative pathologies, or to test potential therapeutic approaches in a variety of brain disorders. Lentiviruses can infect non-dividing cells, thereby allowing stable gene transfer in post-mitotic cells such as mature neurons. An important contribution has been the use of inducible vectors: the same animal can thus be used repeatedly in the doxycycline-on or -off state, providing a powerful mean for assessing the function of a gene candidate in a disorder within a specific neuronal circuit. Furthermore, lentivirus vectors provide a unique tool to integrate siRNA expression constructs with the aim to locally knockdown expression of a specific gene, enabling to assess the function of a gene in a very specific neuronal pathway. Lentiviral vector-mediated delivery of short hairpin RNA results in persistent knockdown of gene expression in the brain. Therefore, the use of lentiviruses for stable expression of siRNA in brain is a powerful aid to probe gene functions in vivo and for gene therapy of diseases of the central nervous system. In this chapter I review the applications of lentivirus-mediated gene transfer in the investigation of specific gene candidates involved in major brain disorders and neurodegenerative processes. Major applications have been in polyglutamine disorders, such as synucleinopathies and Parkinson’s disease, or in investigating gene function in Huntington’s disease, dystonia, or muscular dystrophy. Recently, lentivirus gene transfer has been an invaluable tool for evaluation of gene function in behavioral disorders such as drug addiction and attention-deficit hyperactivity disorder or in learning and cognition.     

Use of beta-glucuronidase reporter gene for gene expression analysis in turfgrasses

The beta-glucuronidase (GUS) gene has been successfully used as a reporter gene in innumerable number of plant species. The functional GUS gene produces blue coloration in plants upon integration into the plant genome. Because of the ease it provides to analyze the gene expression (as no expensive equipment is needed), GUS gene is surely plant biotechnologist's first choice as a reporter gene. The turfgrass family contains the world's most economically important horticultural crops. There is a world-wide drive for genetic modification of grasses due to its huge economic importance. GUS gene can be transiently or stably expressed in grasses for the purpose of promoter analysis and to study tissue-specific and developmental gene expression. This paper summarizes the use of GUS gene for transient and stable expression studies in various turfgrass species.     

Use of gene networks for identifying and validating drug targets

We propose a new method for identifying and validating drug targets by using gene networks, which are estimated from cDNA microarray gene expression profile data. We created novel gene disruption and drug response microarray gene expression profile data libraries for the purpose of drug target elucidation. We use two types of microarray gene expression profile data for estimating gene networks and then identifying drug targets. The estimated gene networks play an essential role in understanding drug response data and this information is unattainable from clustering methods, which are the standard for gene expression analysis. In the construction of gene networks, we use the Bayesian network model. We use an actual example from analysis of the Saccharomyces cerevisiae gene expression profile data to express a concrete strategy for the application of gene network information to drug discovery.     

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.     

Analysis of regulation of phoB expression using a phoB-cat fusion.

The phoB gene, which encodes a positive control factor for a number of phosphate-regulated genes in Escherichia coli, was cloned into multicopy plasmid pBR322. A phoB-cat fusion that expressed chloramphenicol transacetylase from the phoB promoter was constructed. Studies of the expression of the phoB-cat fusion showed that the pattern of regulation of the phoB gene was similar to that of the phoA gene, the structural gene for alkaline phosphatase. The phoB gene was derepressed under conditions of phosphate starvation, was constitutively expressed in a phoR background, and required the phoM gene product for expression in a phoR strain. Finally, a functional phoB product was required for its own synthesis. Our results indicate either that phoA gene expression responds directly to the concentration of the phoB gene product in cells or that the phoA and phoB controlling elements are quite similar.     

A previously unidentified gene in the spc operon of Escherichia coli K12 specifies a component of the protein export machinery

The gene prlA codes for a factor that appears to function in the export of proteins in Escherichia coli. This conclusion is based on the finding that mutations altering the prlA gene product restore export of envelope proteins with defective signal sequences. Previous results showed that the prlA gene lies in an operon (spc) known to code for ten different ribosomal proteins. Our studies show that the prlA gene lies promoter-distal to the last known ribosomal protein gene in this operon. Evidence from gene fusions constructed in vitro suggests that prlA codes for a protein containing at least 300 amino acids. Thus a heretofore unidentified protein specified by a gene within the spc operon appears to be a component of the cellular protein export machinery.     

GAzer: gene set analyzer

Gene Set Analyzer (GAzer) is a web-based integrated gene set analysis tool covering previously reported parametric and non-parametric models. Based on a simulation test for the reported algorithms, we classified and implemented three main statistical methods consisting of the z-statistic, gene permutation and sample permutation for ten gene set categories including Gene Ontology (GO) for human, mouse, rat and yeast. This tool identifies significantly altered gene sets scored by z-statistics and P-values from the z-test or permutation test and provides q-values and Bonferroni P-values to correct multiple hypothesis testing. GAzer allows users to observe changes in expression of each gene in a gene set or to see the significance of the gene sets containing a gene(s) of interest, thus allowing interactive data analysis both at the gene and gene set level. Moreover, GAzer offers extensive annotation for each gene. AVAILABILITY: The GAzer gene set analyzer is freely available at http://integromics.kobic.re.kr/GAzer/. SUPPLEMENTARY INFORMATION: This can be found on the web page (http://integromics.kobic.re.kr/GAzer/supplement.jsp).     

An overlap between operons involved in carotenoid and bacteriochlorophyll biosynthesis in Rhodobacter capsulatus

A new example of superoperonal gene arrangement has been documented in the Rhodobacter capsulatus photosynthetic gene cluster. The promoter for the operon initiated by the bchI gene is embedded within an upstream operon for carotenoid synthesis. The stop codon for the crtA gene, the only gene in the first operon, overlaps the start codon of the downstream bchI gene. As a consequence of this overlap, the promoter(s) for the bch operon must be located within the crtA structural gene. The bchI gene is shown here for the first time to be required for the conversion of protoporphyrin IX to subsequent intermediates in bacteriochlorophyll biosynthesis.     

A method for detecting the expression of a toxic gene in cultured cells.

We have devised a rapid method for examining the expression of a toxin gene following in vitro transfection using a bacterial beta-galactosidase (lacZ) gene as a reporter gene. Ricin A chain DNA and the lacZ gene, both under the control of the immunoglobulin gene promoter and enhancer, were transfected into mouse fibroblast cells (L cells). Transient expression of the lacZ gene was detected 2 days after transfection by histochemical staining of the transfectants with 5-bromo-3-indolyl-beta-D-galactoside. Cotransfection of the ricin A chain gene resulted in a progressive reduction in the number of lacZ transfectants as the expressed toxin killed the cells. A ricin construct with the intervening sequence from the human beta-actin gene required 4 days instead of 2 days to produce the toxic effect. This is a useful method for examining the expression of toxin gene in a cell.     

Polymer based cardiovascular gene therapy

Therapeutic angiogenesis is a new potential treatment in cardiovascular disease. It is performed by the delivery of the angiogenic agents (protein, gene). Most important consideration for gene therapy is the construction of an effective therapeutic gene. Currently, VEGF is the most effective therapeutic gene for the neovascularization. We constructed the hypoxia-regulated VEGF plasmid using the Epo enhancer and RTP801 promoter. The efficiency of the pEpo-SV-VEGF and pRTP801-VEGF were evaluated by various methodsin vitro andin vivo. The results suggested that the hypoxia-inducible VEGF gene therapy system is effective and safe, which may be useful for the gene therapy of ischemic heart disease. Development of a safe and efficient gene carrier is another main requirement for successful gene therapy. Although viralbased gene delivery is currently the most effective way to transfer genes to cells, nonviral vectors are increasingly being considered forin vivo gene delivery. The advantages of nonviral gene therapy are lack of specific immunogenecity, simplicity of use, and ease of large-scale production. In addition, the simple conjugation of a targeting moiety to nonviral gene carrier can facilitate tissue-targeting gene delivery. We have developed two new gene carrier systems, TerplexDNA and WSLP (water soluble lipopolymer). These two are efficient carrier to ischemic myocardium and has low toxicity and high transfection efficiency. So it may allow for application ofin vivo gene therapy in the treatment of heart disease.     

Role of gene duplication in evolution

It is now known that many multigene and supergene families exist in eukaryote genomes: multigene families with uniform copy members like genes for ribosomal RNA, those with variable members like immunoglobulin genes, and supergene families such as those for various growth factor and hormone receptors. Many such examples indicate that gene duplication and subsequent differentiation are extremely important for organismal evolution. In particular, gene duplication could well have been the primary mechanism for the evolution of complexity in higher organisms. Population genetic models for the origin of gene families with diverse functions are presented, in which natural selection favors those genomes with more useful mutants in duplicated genes. Since any gene has a certain probability of degenerating by mutation, success versus failure in acquiring a new gene by duplication may be expressed as the ratio of probabilities of spreading of useful versus detrimental mutations in redundant gene copies. Also examined are the effects of gene duplication on evolution by compensatory advantageous mutations. Results of the analyses show that both natural selection and random drift are important for the origin of gene families. In addition, interaction between molecular mechanisms such as unequal crossing-over and gene conversion, and selection or drift is found to have a large effect on evolution by gene duplication.     

Atelocollagen-based gene transfer in cells allows high-throughput screening of gene functions.

We have previously demonstrated that Atelocollagen, used clinically for wound healing, is a reliable safe carrier for gene delivery. To obtain phenotypic changes by gene expression of cDNA, we developed an efficient technique for high-throughput gene transfer and expression screening in mammalian cells in microarrays by precoating a microplate with an Atelocollagen complexed with cDNA to which cells are then seeded. The complexes with a nanoparticle form were efficiently transduced into cells without use of any additional transfection reagent, and they allowed for long-term gene expression without apparent chromosomal integration. The complex spotted onto the well of a microplate was stable for a long period and allowed the cells to transduce and express reporter genes in a dose-dependent manner. We also showed that the present method using Atelocollagen-based gene transfer is applicable to gene medicines such as antisense ODNs and adenovirus vectors. These results suggest that Atelocollagen may be appropriate for general use in high-throughput screening of large sets of gene medicines for functional analyses in mammalian cells.     

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.