Finding disease candidate genes by liquid association

A novel approach to finding candidate genes by using gene expression data through liquid association is developed and used to identify multiple sclerosis susceptibility candidate genes.     

Iroquois complex genes induce co-expression of rhodopsins in Drosophila

The Drosophila eye is a mosaic that results from the stochastic distribution of two ommatidial subtypes. Pale and yellow ommatidia can be distinguished by the expression of distinct rhodopsins and other pigments in their inner photoreceptors (R7 and R8), which are implicated in color vision. The pale subtype contains ultraviolet (UV)-absorbing Rh3 in R7 and blue-absorbing Rh5 in R8. The yellow subtype contains UV-absorbing Rh4 in R7 and green-absorbing Rh6 in R8. The exclusive expression of one rhodopsin per photoreceptor is a widespread phenomenon, although exceptions exist. The mechanisms leading to the exclusive expression or to co-expression of sensory receptors are currently not known. We describe a new class of ommatidia that co-express rh3 and rh4 in R7, but maintain normal exclusion between rh5 and rh6 in R8. These ommatidia, which are localized in the dorsal eye, result from the expansion of rh3 into the yellow-R7 subtype. Genes from the Iroquois Complex (Iro-C) are necessary and sufficient to induce co-expression in yR7. Iro-C genes allow photoreceptors to break the "one receptor-one neuron" rule, leading to a novel subtype of broad-spectrum UV- and green-sensitive ommatidia.     

Alzheimer disease periventricular white matter lesions exhibit specific proteomic profile alterations

The white matter (WM) represents approximately half the cerebrum volume and is profoundly affected in Alzheimer’s disease (AD). However, both the WM responses to AD as well as potential influences of this compartment to dementia pathogenesis remain comparatively neglected. Neuroimaging studies have revealed WM alterations are commonly associated with AD and renewed interest in examining the pathologic basis and importance of these changes.     

Conserved co-expression for candidate disease gene prioritization

Background  

Genes that are co-expressed tend to be involved in the same biological process. However, co-expression is not a very reliable predictor of functional links between genes. The evolutionary conservation of co-expression between species can be used to predict protein function more reliably than co-expression in a single species. Here we examine whether co-expression across multiple species is also a better prioritizer of disease genes than is co-expression between human genes alone.     

Intronic positioning maximizes co-expression and co-amplification of nonselectable heterologous genes

The overproduction of heterologous gene products in mammalian cells is often a prerequisite for studies of protein structure, function, and therapeutic efficacy. We report that recombinant fusion of a nonselectable reporter template into the intronic sequences of an amplifiable minigene gives dramatically enhanced co-expression efficiency in stable, primary transformants. Further incremental selective pressure for marker gene amplification results in the rapid acquisition of very high expression levels from the intronically positioned reporter. Nested within a constitutively expressing gene, these templates can be independently regulated at moderate gene dosage levels. Intronic positioning may therefore be of general utility for a variety of recombinant studies.     

Finding edging genes from microarray data

MOTIVATION: A set of genes and their gene expression levels are used to classify disease and normal tissues. Due to the massive number of genes in microarray, there are a large number of edges to divide different classes of genes in microarray space. The edging genes (EGs) can be co-regulated genes, they can also be on the same pathway or deregulated by the same non-coding genes, such as siRNA or miRNA. Every gene in EGs is vital for identifying a tissue's class. The changing in one EG's gene expression may cause a tissue alteration from normal to disease and vice versa. Finding EGs is of biological importance. In this work, we propose an algorithm to effectively find these EGs. RESULT: We tested our algorithm with five microarray datasets. The results are compared with the border-based algorithm which was used to find gene groups and subsequently divide different classes of tissues. Our algorithm finds a significantly larger amount of EGs than does the border-based algorithm. As our algorithm prunes irrelevant patterns at earlier stages, time and space complexities are much less prevalent than in the border-based algorithm. AVAILABILITY: The algorithm proposed is implemented in C++ on Linux platform. The EGs in five microarray datasets are calculated. The preprocessed datasets and the discovered EGs are available at http://www3.it.deakin.edu.au/~phoebe/microarray.html.     

Finding novel genes in bacterial communities isolated from the environment

MOTIVATION: Novel sequencing techniques can give access to organisms that are difficult to cultivate using conventional methods. When applied to environmental samples, the data generated has some drawbacks, e.g. short length of assembled contigs, in-frame stop codons and frame shifts. Unfortunately, current gene finders cannot circumvent these difficulties. At the same time, the automated prediction of genes is a prerequisite for the increasing amount of genomic sequences to ensure progress in metagenomics. RESULTS: We introduce a novel gene finding algorithm that incorporates features overcoming the short length of the assembled contigs from environmental data, in-frame stop codons as well as frame shifts contained in bacterial sequences. The results show that by searching for sequence similarities in an environmental sample our algorithm is capable of detecting a high fraction of its gene content, depending on the species composition and the overall size of the sample. The method is valuable for hunting novel unknown genes that may be specific for the habitat where the sample is taken. Finally, we show that our algorithm can even exploit the limited information contained in the short reads generated by 454 technology for the prediction of protein coding genes. AVAILABILITY: The program is freely available upon request.     

Etiology of specific molecular alterations in human malignancies

Cancer results from multiple genomic changes that affect DNA and its gene expression. The DNA sequences may be gained, lost or amplified, or translocated into different parts of the genome to form a fusion gene with oncogenic properties. The occurrence of specific chromosomal aberrations may be restricted to only one cancer type and it may be considered a primary carcinogenic event. Furthermore, the aberration profiles may be used to cluster tumors with similar origins. A variety of techniques exist for the detection of specific chromosomal and gene expression changes. However, the etiology of these molecular alterations remains unclear. Here we discuss the roles of Helicobacter pylori and asbestos burden as carcinogens that cause gastric cancer, mesothelioma and lung cancer.     

Construction of a promoter collection for genes co-expression in filamentous fungus Trichoderma reesei

Trichoderma reesei is the preferred organism for producing industrial cellulases. However, cellulases derived from T. reesei have their highest activity at acidic pH. When the pH value increased above 7, the enzyme activities almost disappeared, thereby limiting the application of fungal cellulases under neutral or alkaline conditions. A lot of heterologous alkaline cellulases have been successfully expressed in T. reesei to improve its cellulolytic profile. To our knowledge, there are few reports describing the co-expression of two or more heterologous cellulases in T. reesei. We designed and constructed a promoter collection for gene expression and co-expression in T. reesei. Taking alkaline cellulase as a reporter gene, we assessed our promoters with strengths ranging from 4 to 106 % as compared to the pWEF31 expression vector (Lv D, Wang W, Wei D (2012) Construction of two vectors for gene expression in Trichoderma reesei. Plasmid 67(1):67–71). The promoter collection was used in a proof-of-principle approach to achieve the co-expression of an alkaline endoglucanase and an alkaline cellobiohydrolase. We observed higher activities of both cellulose degradation and biostoning by the co-expression of an endoglucanase and a cellobiohydrolase than the activities obtained by the expression of only endoglucanase or cellobiohydrolase. This study makes the process of engineering expression of multiple genes easier in T. reesei.     

Control of specific gene expression in mammalian cells by co-expression of long complementary RNAs

The use of long double-stranded RNA (dsRNA) for gene silencing in mammalian cells has generally been restricted to embryonic cell types and proposed to induce non-specific effects on gene expression in differentiated cells. In this study, we report that foreign and endogenous gene expression can be regulated in immortalised human cell lines by co-expression of long complementary RNAs with the potential to form dsRNA. The observed gene silencing effect was transferable to recipient control cells, occurred independently of cytoplasmic Dicer and produced an epi-allelic series of clones suitable for gene function studies. This complementary RNA co-expression approach permits the use of long complementary RNAs for regulating specific gene expression in mammalian cells.