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PubMed2002

Novel double promoter approach for identification of transgenic animals: A tool for in vivo analysis of gene function and development of gene-based therapies.

Advances in vertebrate genetics have allowed studies of gene function in developing animals through gene knockout and transgenic analyses. These advances have encouraged the development of gene-based therapies through introduction of exogenous genes to enhance and/or replace dysfunctional or missing genes. However, in vertebrates, such analyses often involve tedious screening for transgenic animals, such as PCR-based genotype determinations. Here, we report the use of double-promoter plasmids carrying the transgene of interest and the crystallin-promotor-driven Green fluorescent protein (GFP) in transgenic Xenopus laevis tadpoles. This strategy allows a simple examination for the presence of GFP in the eyes to identify transgenic animals. PCR-based genotyping and functional characterization confirms that all animals expressing GFP in the eyes indeed carry the desired promoter/transgene units. Thus, the use of this and other similar vectors should dramatically improve current transgenesis protocols and reduce the time and cost for identifying transgenic animals.

Animals↗

PubMed2002

Zebrafish hox paralogue group 2 genes function redundantly as selector genes to pattern the second pharyngeal arch.

The pharyngeal arches are one of the defining features of the vertebrates, with the first arch forming the mandibles of the jaw and the second forming jaw support structures. The cartilaginous elements of each arch are formed from separate migratory neural crest cell streams, which derive from the dorsal aspect of the neural tube. The second and more posterior crest streams are characterized by specific Hox gene expression. The zebrafish has a larger overall number of Hox genes than the tetrapod vertebrates, as the result of a duplication event in its lineage. However, in both zebrafish and mouse, there are just two members of Hox paralogue group 2 (PG2): Hoxa2 and Hoxb2. Here, we show that morpholino-mediated "knock-down" of both zebrafish Hox PG2 genes results in major defects in second pharyngeal arch cartilages, involving replacement of ventral elements with a mirror-image duplication of first arch structures, and accompanying changes to pharyngeal musculature. In the mouse, null mutants of Hoxa2 have revealed that this single Hox gene is required for normal second arch patterning. By contrast, loss-of-function of either zebrafish Hox PG2 gene individually has no phenotypic consequence, showing that these two genes function redundantly to confer proper pattern to the second pharyngeal arch. We have also used hoxb1a mis-expression to induce localized ectopic expression of zebrafish Hox PG2 genes in the first arch; using this strategy, we find that ectopic expression of either Hox PG2 gene can confer second arch identity onto first arch structures, suggesting that the zebrafish Hox PG2 genes act as "selector genes."

Animals↗

PubMed2002

Screening for gene function in chicken embryo using RNAi and electroporation.

In the postgenomic era the elucidation of the physiological function of genes has become the rate-limiting step in the quest to understand the development and function of living organisms. Gene functions cannot be determined by high-throughput methods but require analysis in the context of the entire organism. This is particularly true in the developing vertebrate nervous system. Because of its easy accessibility in the egg, the chicken embryo has been the model of choice for developmental in vivo studies. However, its usefulness has been hampered by a lack of methods for genetic manipulation. Here we describe an approach that could compensate for this disadvantage. By combining gene silencing by dsRNA (through RNA interference, RNAi) with in ovo electroporation, we developed an efficient method to induce loss of gene function in vivo during the development of the chicken CNS. This method opens new possibilities for studying gene function not only by gain-of-function but also by loss-of-function approaches and therefore represents a new tool for functional genomics.

Animals↗

PubMed2004

Simple RNAi vectors for stable and transient suppression of gene function in rice.

Since the recent sequencing of the rice genome, the functional identification of rice genes has become increasingly important. Various tagged lines have been generated; however, the number of tagged genes available is not sufficient for extensive study of gene function. To help identify the functions of genes in rice, we developed a Gateway vector, pANDA, for RNA interference of rice genes. This vector can be used for Agrobacterium transformation of rice and allows easy and fast construction of efficient RNAi vectors. In the construct, hairpin RNA derived from a given gene is transcribed from a strong maize ubiquitin promoter, and an intron is placed 5' upstream of inverted repeats to enhance RNA expression. Analysis of rice genes using this vector showed that suppression of mRNA expression was observed in more than 90% of transgenic plants examined, and short interfering RNA indicative of RNA silencing was detected in each silenced plant. A similar vector, pANDA-mini, was also developed for direct transfer into leaf cells or protoplasts. This vector can be used for transient suppression of gene function in rice. These vectors should help identify the functions of rice genes whose tagged mutants are not available at present and complement existing methods for functional genomics of rice.

Gene Expression Regulation, Plant↗

PubMed2000

Functional gene expression domains: defining the functional unit of eukaryotic gene regulation.

The term functional domain is often used to describe the region containing the cis acting sequences that regulate a gene locus. "Strong" domain models propose that the domain is a spatially isolated entity consisting of a region of extended accessible chromatin bordered by insulators that have evolved to act as functional boundaries. However, the observation that independently regulated loci can overlap partially or completely raises questions about functional requirements for physically isolated domain structures. An alternative model, the "weak" domain model, proposes that domain structure is determined by the distribution of binding sites for positively acting factors, without a requirement for functional boundaries. The domain would effectively be the region that contains these factor-binding sites. Specificity of promoter-enhancer interactions would play a major role in maintaining the functional autonomy of adjacent genes. Sequences that interfere with these interactions (frequently characterised as insulators) would be selected against if they occurred within the domain but not at the edges, or in the interdomain regions. As a result, insulators would often be found near the borders of domains without necessarily being selected to act as boundaries.

Animals↗

PubMed1995

Gain of function mutations for paralogous Hox genes: implications for the evolution of Hox gene function.

To investigate the functions of paralogous Hox genes, we compared the phenotypic consequences of altering the embryonic patterns of expression of Hoxb-8 and Hoxc-8 in transgenic mice. A comparison of the phenotypic consequences of altered expression of the two paralogs in the axial skeletons of newborns revealed an array of common transformations as well as morphological changes unique to each gene. Divergence of function of the two paralogs was clearly evident in costal derivatives, where increased expression of the two genes affected opposite ends of the ribs. Many of the morphological consequences of expanding the mesodermal domain and magnitude of expression of either gene were atavistic, inducing the transformation of axial skeletal structures from a modern to an earlier evolutionary form. We propose that regional specialization of the vertebral column has been driven by regionalization of Hox gene function and that a major aspect of this evolutionary progression may have been restriction of Hox gene expression.

Animals↗

PubMed2002

Studying gene function in eukaryotes by conditional gene inactivation.

The prospect of specifically controlling gene activities in vivo has become a defining hallmark of many model organisms of biological research. Where once the aim was to gain control over gene activities using endogenous control elements, new technologies have emerged that owe their remarkable specificity to heterologous components derived from evolutionarily distant species. This review highlights inducible transcriptional systems and site-specific recombination. Their quantitative and qualitative characteristics are discussed, with examples of how recent developments have expanded the spectrum of cells and organisms that are now accessible to genetic dissection of unprecedented precision. Transgenesis has already converted the mouse into a prime model for mammalian genetics. Combined with the new approaches of conditional activation or inactivation of genes, this model has opened up new horizons for the analysis of gene function in mammals.

Animals↗

PubMed2005

Gene function prediction by a combined analysis of gene expression data and protein-protein interaction data.

Prediction of biological functions of genes is an important issue in basic biology research and has applications in drug discoveries and gene therapies. Previous studies have shown either gene expression data or protein-protein interaction data alone can be used for predicting gene functions. In particular, clustering gene expression profiles has been widely used for gene function prediction. In this paper, we first propose a new method for gene function prediction using protein-protein interaction data, which will facilitate combining prediction results based on clustering gene expression profiles. We then propose a new method to combine the prediction results based on either source of data by weighting on the evidence provided by each. Using protein-protein interaction data downloaded from the GRID database, published gene expression profiles from 300 microarray experiments for the yeast S. cerevisiae, we show that this new combined analysis provides improved predictive performance over that of using either data source alone in a cross-validated analysis of the MIPS gene annotations. Finally, we propose a logistic regression method that is flexible enough to combine information from any number of data sources while maintaining computational feasibility.

Algorithms↗

PubMed2005

Transcriptional gene silencing as a tool for uncovering gene function in maize.

Transcriptional gene silencing has broad applications for studying gene function in planta. In maize, a large number of genes have been identified as tassel-preferred in their expression pattern, both by traditional genetic methods and by recent high-throughput expression profiling platforms. Approaches using RNA suppression may provide a rapid alternative means to identify genes directly related to pollen development in maize. The male fertility gene Ms45 and several anther-expressed genes of unknown function were used to evaluate the efficacy of generating male-sterile plants by transcriptional gene silencing. A high frequency of male-sterile plants was obtained by constitutively expressing inverted repeats (IR) of the Ms45 promoter. These sterile plants lacked MS45 mRNA due to transcriptional inactivity of the target promoter. Moreover, fertility was restored to these promoter IR-containing plants by expressing the Ms45 coding region using heterologous promoters. Transcriptional silencing of other anther-expressed genes also significantly affected male fertility phenotypes and led to increased methylation of the target promoter DNA sequences. These studies provide evidence of disruption of gene activity in monocots by RNA interference constructs directed against either native or transformed promoter regions. This approach not only enables the correlation of monocot anther-expressed genes with functions that are important for reproduction in maize, but may also provide a tool for studying gene function and identifying regulatory components unique to transcriptional gene control.

Fertility↗

PubMed1988

The mouse protein synthesis initiation factor 4A gene family includes two related functional genes which are differentially expressed.

We have cloned and characterized a family of mouse genomic sequences hybridizing to mouse cDNA probes coding for eIF-4A, one of the protein synthesis initiation factors involved in the binding of mRNA to the ribosome. We estimate that there is a total of approximately 9-13 eIF-4A pseudogenes. We also found an eIF-4A intronless retroposon which, when compared to the cDNA, contains a single nucleotide difference. This possibly functional gene contains a mouse repetitive B1 element integrated in the promoter region. Furthermore, we have cloned two intron-containing eIF-4A genes (termed eIF-4AI and eIF-4AII). The eIF-4AII gene codes for a previously unknown form of eIF-4A. Northern blot hybridization with RNA from several mouse organs shows a variation in eIF-4AI expression within a factor of 7. In contrast, relative to liver, eIF-4AII expression is 20- to 30-times higher in brain and kidney, 10- to 17-fold higher in lung and heart, and is about equally abundant in liver, spleen and thymus. These data suggest that the relative efficiency of protein synthesis initiation for different mRNAs, as reflected by discrimination in messenger 5'-terminal cap recognition and binding to ribosomes, varies in different tissues.

Amino Acid Sequence↗

PubMed1981

The xid gene controls Ia.W39-associated immune response gene function.

Immune response (Ir) genes are encoded for by the I region of the major histocompatibility complex (MHC). A class of serologically defined specificities, Ia antigens, is also encoded for by genes within this region. A new Ia specificity, Ia.W39, has recently been defined. It is private for I-Ab and its expression is controlled by a gene on the X-chromosome. Using different approaches, the role of Ia.W39 in the immune response of H-2b mice to beef insulin was examined in a macrophage-dependent T cell proliferation assay. It was found that beef insulin-related Ir gene function was associated with the expression of Ia.W39 by antigen-presenting macrophages and that control of this Ir gene function was X-linked (xid gene).

Animals↗

PubMed2006

Global analysis of gene function in yeast by quantitative phenotypic profiling.

We present a method for the global analysis of the function of genes in budding yeast based on hierarchical clustering of the quantitative sensitivity profiles of the 4756 strains with individual homozygous deletion of nonessential genes to a broad range of cytotoxic or cytostatic agents. This method is superior to other global methods of identifying the function of genes involved in the various DNA repair and damage checkpoint pathways as well as other interrogated functions. Analysis of the phenotypic profiles of the 51 diverse treatments places a total of 860 genes of unknown function in clusters with genes of known function. We demonstrate that this can not only identify the function of unknown genes but can also suggest the mechanism of action of the agents used. This method will be useful when used alone and in conjunction with other global approaches to identify gene function in yeast.

Cluster Analysis↗

PubMed2004

RNA interference for analysis of gene function in trypanosomatids.

Gene-specific silencing by RNA interference is a valuable tool for analysis of gene function in the protozoan parasite Trypanosoma brucei. The development of tetracycline-regulated vectors for production of double-stranded RNA has facilitated its widespread use. RNA interference provides a fast and efficient method for determining whether a gene is essential for growth and viability, reveals mechanistic information on gene function, and has greatly enhanced our understanding of complex biological processes. Finally, the creation of an RNA interference-based library has allowed, for the first time, an approach for conducting forward genetic experiments in this organism.

Animals↗

PubMed2006

Incorporating gene functions as priors in model-based clustering of microarray gene expression data.

MOTIVATION: Cluster analysis of gene expression profiles has been widely applied to clustering genes for gene function discovery. Many approaches have been proposed. The rationale is that the genes with the same biological function or involved in the same biological process are more likely to co-express, hence they are more likely to form a cluster with similar gene expression patterns. However, most existing methods, including model-based clustering, ignore known gene functions in clustering. RESULTS: To take advantage of accumulating gene functional annotations, we propose incorporating known gene functions as prior probabilities in model-based clustering. In contrast to a global mixture model applicable to all the genes in the standard model-based clustering, we use a stratified mixture model: one stratum corresponds to the genes of unknown function while each of the other ones corresponding to the genes sharing the same biological function or pathway; the genes from the same stratum are assumed to have the same prior probability of coming from a cluster while those from different strata are allowed to have different prior probabilities of coming from the same cluster. We derive a simple EM algorithm that can be used to fit the stratified model. A simulation study and an application to gene function prediction demonstrate the advantage of our proposal over the standard method. CONTACT: weip@biostat.umn.edu

Algorithms↗

PubMed2006

Gene functional annotation by statistical analysis of biomedical articles.

BACKGROUND: Functional annotation of genes is an important task in biology since it facilitates the characterization of genes relationships and the understanding of biochemical pathways. The various gene functions can be described by standardized and structured vocabularies, called bio-ontologies. The assignment of bio-ontology terms to genes is carried out by means of applying certain methods to datasets extracted from biomedical articles. These methods originate from data mining and machine learning and include maximum entropy or support vector machines (SVM). PURPOSE: The aim of this paper is to propose an alternative to the existing methods for functionally annotating genes. The methodology involves building of classification models, validation and graphical representations of the results and reduction of the dimensions of the dataset. METHODS: Classification models are constructed by Linear discriminant analysis (LDA). The validation of the models is based on statistical analysis and interpretation of the results involving techniques like hold-out samples, test datasets and metrics like confusion matrix, accuracy, recall, precision and F-measure. Graphical representations, such as boxplots, Andrew's curves and scatterplots of the variables resulting from the classification models are also used for validating and interpreting the results. RESULTS: The proposed methodology was applied to a dataset extracted from biomedical articles for 12 Gene Ontology terms. The validation of the LDA models and the comparison with the SVM show that LDA (mean F-measure 75.4%) outperforms the SVM (mean F-measure 68.7%) for the specific data. CONCLUSION: The application of certain statistical methods can be beneficial for functional gene annotation from biomedical articles. Apart from the good performance the results can be interpreted and give insight of the bio-text data structure.

Abstracting and Indexing↗

PubMed1996

Cyclopia and defective axial patterning in mice lacking Sonic hedgehog gene function.

Targeted gene disruption in the mouse shows that the Sonic hedgehog (Shh) gene plays a critical role in patterning of vertebrate embryonic tissues, including the brain and spinal cord, the axial skeleton and the limbs. Early defects are observed in the establishment or maintenance of midline structures, such as the notochord and the floorplate, and later defects include absence of distal limb structures, cyclopia, absence of ventral cell types within the neural tube, and absence of the spinal column and most of the ribs. Defects in all tissues extend beyond the normal sites of Shh transcription, confirming the proposed role of Shh proteins as an extracellular signal required for the tissue-organizing properties of several vertebrate patterning centres.

Animals↗

PubMed1994

Dissecting the temporal requirements for homeotic gene function.

Homeotic genes confer identity to the different segments of Drosophila. These genes are expressed in many cell types over long periods of time. To determine when the homeotic genes are required for specific developmental events we have expressed the Ultrabithorax, abdominal-A and Abdominal-Bm proteins at different times during development using the GAL4 targeting technique. We find that early transient homeotic gene expression has no lasting effects on the differentiation of the larval epidermis, but it switches the fate of other cell types irreversibly (e.g. the spiracle primordia). We describe one cell type in the peripheral nervous system that makes sequential, independent responses to homeotic gene expression. We also provide evidence that supports the hypothesis of in vivo competition between the bithorax complex proteins for the regulation of their down-stream targets.

Animals↗

PubMed2003

Systems-wide chicken DNA microarrays, gene expression profiling, and discovery of functional genes.

The goal of our current consortium project is to launch a new era--functional genomics of poultry--by providing genomic resources [expressed sequence tags (EST) and DNA microarrays] and by examining global gene expression in target tissues of chickens. DNA microarray analysis has been a fruitful strategy for the identification of functional genes in several model organisms (i.e., human, rodents, fruit fly, etc.). We have constructed and normalized five tissue-specific or multiple-tissue chicken cDNA libraries [liver, fat, breast, and leg muscle/epiphyseal growth plate, pituitary/hypothalamus/pineal, and reproductive tract (oviduct/ovary/testes)] for high-throughput DNA sequencing of EST. DNA sequence clustering was used to build contigs of overlapping sequence and to identify unique, non-redundant EST clones (unigenes), which permitted printing of systems-wide chicken DNA microarrays. One of the most promising genetic resources for gene exploration and functional gene mapping is provided by two sets of experimental lines of broiler-type chickens developed at INRA, France, by divergent selection for extremes in growth traits (fast-growing versus slow-growing; fatness versus leanness at a similar growth rate). We are using DNA microarrays for global gene expression profiling to identify candidate genes and to map growth, metabolic, and regulatory pathways that control important production traits. Candidate genes will be used for functional gene mapping and QTL analysis of F2 progeny from intercrosses made between divergent genetic lines (fat x lean lines; fast-growing x slow-growing lines). Using our first chicken liver microarray, we have already identified several interesting differentially expressed genes in commercial broilers and in divergently selected broiler lines. Many of these candidate genes are involved in the lipogenic pathway and are controlled in part by the thyrotropic axis. Thus, genome-wide transcriptional profiling is a powerful tool used to visualize the cascade of genetic circuits that govern complex biological responses. Global gene expression profiling and QTL scans should enable us to functionally map the genetic pathways that control growth, development, and metabolism of chickens. This emerging technology will have broad applications for poultry breeding programs (i.e., use of molecular markers) and for future production systems (i.e., the health and welfare of birds and the quality of poultry products).

Animal Husbandry↗