Cloning and expression analysis of some genes involved in the phosphoinositide and phospholipid signaling pathways from maize (Zea mays L.)

Previous studies have indicated the phosphoinositide and phospholipid signaling pathways play a key role in plant growth, development and responses to environmental stresses. However, little is known about the phosphoinositide and phospholipid signaling pathways in maize (Zea mays L.). To better understand the function of genes involved in the phosphoinositide and phospholipid signaling pathways in maize, the cDNA sequences of ZmPIS2, ZmPLC2, ZmDGK1, ZmDGK2 and ZmDGK3 were obtained by RACE (rapid amplification of cDNA ends) or in silico cloning combined with PCR. RT-PCR analysis of cDNA from five tissues (roots, stems, leaves, tassels, and ears) indicated that the expression patterns of the five cDNAs we isolated as well as ZmPIS, ZmPLC, ZmPLD varied in different tissues. To determine the effects of different environmental conditions such as cold, drought and various phytohormones (abscisic acid, indole-3-acetic acid and gibberellic acid) on gene expression, we analyzed expression by Real-Time (RT-PCR), and found that the different isoforms of these gene families involved in the phosphoinositide and phospholipid signaling pathways have specific expression patterns. Our results suggested that these genes may be involved in the responses to environmental stresses, but have different functions. The isolation and analysis of expression patterns of genes involved in the phosphoinositide and phospholipid signaling pathways provides a good basis for further research of the phosphoinositide and phospholipid signaling pathways in maize and is a novel supplement to our comprehension of these pathways in plants.     

Large scale gene expression analysis of cholesterol-loaded macrophages

We conducted large scale gene expression analysis of the response of macrophages to exposure to oxidized low density lipoprotein (Ox-LDL). Much of the vessel wall lesion of atherosclerosis is composed of macrophages that have become engorged with cholesterol. These resulting "foam cells" contribute to the progression of vascular disease through several pathways. As a potential model of foam cell formation, we treated THP-1 cells with 12-O-tetradecanoylphorbol 13-acetate to differentiate them into a macrophage-like phenotype and subsequently treated them with oxidized low density lipoprotein for various time periods. RNA from Ox-LDL treated and time-matched control untreated cells was hybridized to microarrays containing 9808 human genes. 268 genes were found to be at least 2-fold regulated at one or more time points. These regulation patterns were classified into seven clusters of expression profiles. The data is discussed in terms of the overall pattern of gene expression, the thematic classification of the responding genes, and the clustering of functional groups in distinct expression patterns. The magnitude and the temporal patterns of gene expression identified known and novel molecular components of the cellular response that are implicated in the growth, survival, migratory, inflammatory, and matrix remodeling activity of vessel wall macrophages. In particular, the role of nuclear receptors in mediating the gene expression modulation by Ox-LDL is highlighted.     

Specificity and complexity of the Caenorhabditis elegans innate immune response

In response to infection, Caenorhabditis elegans produces an array of antimicrobial proteins. To understand the C. elegans immune response, we have investigated the regulation of a large, representative sample of candidate antimicrobial genes. We found that all these putative antimicrobial genes are expressed in tissues exposed to the environment, a position from which they can ward off infection. Using RNA interference to inhibit the function of immune signaling pathways in C. elegans, we found that different immune response pathways regulate expression of distinct but overlapping sets of antimicrobial genes. We also show that different bacterial pathogens regulate distinct but overlapping sets of antimicrobial genes. The patterns of genes induced by pathogens do not coincide with any single immune signaling pathway. Thus, even in this simple model system for innate immunity, striking specificity and complexity exist in the immune response. The unique patterns of antimicrobial gene expression observed when C. elegans is exposed to different pathogens or when different immune signaling pathways are perturbed suggest that a large set of yet to be identified pathogen recognition receptors (PRRs) exist in the nematode. These PRRs must interact in a complicated fashion to induce a unique set of antimicrobial genes. We also propose the existence of an "antimicrobial fingerprint," which will aid in assigning newly identified C. elegans innate immunity genes to known immune signaling pathways.     

Match/X,A Gene Expression Pattern Recognition Algorithm Used to Identify Genes Which May be Related to CDC2 Function and Cell Cycle Regulation

Large-scale microarray gene expression studies can provide insight into complex genetic networks and biological pathways. A comprehensive gene expression database was constructed using Affymetrix GeneChip microarrays and RNA isolated from more than 6,400 distinct normal and diseased human tissues. These individual patient samples were grouped into over 700 sample sets based on common tissue and disease morphologies, and each set contained averaged expression data for over 45,000 gene probe sets representing more than 33,000 known human genes. Sample sets were compared to each other in more than 750 normal vs. disease pairwise comparisons. Relative up or down-regulation patterns of genes across these pairwise comparisons provided unique expression fingerprints that could be compared and matched to a gene of interest using the Match/X algorithm. This algorithm uses the kappa statistic to compute correlations between genes and calculate a distance score between a gene of interest and all other genes in the database. Using cdc2 as a query gene, we identified several hundred genes that had similar expression patterns and highly correlated distance scores. Most of these genes were known components of the cell cycle involved in G2/M progression, spindle function or chromosome arrangement. Some of the identified genes had unknown biological functions but may be related to cdc2 mediated mechanism based on their closely correlated distance scores. This algorithm may provide novel insights into unknown gene function based on correlation to expression profiles of known genes and can identify elements of cellular pathways and gene interactions in a high throughput fashion.     

Pathway Network Analyses for Autism Reveal Multisystem Involvement,Major Overlaps with Other Diseases and Convergence upon MAPK and Calcium Signaling

We used established databases in standard ways to systematically characterize gene ontologies, pathways and functional linkages in the large set of genes now associated with autism spectrum disorders (ASDs). These conditions are particularly challenging—they lack clear pathognomonic biological markers, they involve great heterogeneity across multiple levels (genes, systemic biological and brain characteristics, and nuances of behavioral manifestations)—and yet everyone with this diagnosis meets the same defining behavioral criteria. Using the human gene list from Simons Foundation Autism Research Initiative (SFARI) we performed gene set enrichment analysis with the Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway Database, and then derived a pathway network from pathway-pathway functional interactions again in reference to KEGG. Through identifying the GO (Gene Ontology) groups in which SFARI genes were enriched, mapping the coherence between pathways and GO groups, and ranking the relative strengths of representation of pathway network components, we 1) identified 10 disease-associated and 30 function-associated pathways 2) revealed calcium signaling pathway and neuroactive ligand-receptor interaction as the most enriched, statistically significant pathways from the enrichment analysis, 3) showed calcium signaling pathways and MAPK signaling pathway to be interactive hubs with other pathways and also to be involved with pervasively present biological processes, 4) found convergent indications that the process “calcium-PRC (protein kinase C)-Ras-Raf-MAPK/ERK” is likely a major contributor to ASD pathophysiology, and 5) noted that perturbations associated with KEGG’s category of environmental information processing were common. These findings support the idea that ASD-associated genes may contribute not only to core features of ASD themselves but also to vulnerability to other chronic and systemic problems potentially including cancer, metabolic conditions and heart diseases. ASDs may thus arise, or emerge, from underlying vulnerabilities related to pleiotropic genes associated with pervasively important molecular mechanisms, vulnerability to environmental input and multiple systemic co-morbidities.     

Gene Expression Analysis

The response of cells to extracellular signals usually requires altered expression of many genes, possibly including several distinct metabolic pathways. In some cases, only a subset of genes involved in such responses are known, which requires techniques to analyze changes in the expression of multiple genes, both known and unknown. Three techniques, two‐dimensional gel electrophoresis, differential display, and gene discovery arrays, provide opportunities for measuring changes in gene expression levels, as well as for identifying novel gene products.