Estrogen receptor-alpha gene expression in the cortex: Sex differences during development and in adulthood

17β-estradiol is a hormone with far-reaching organizational, activational and protective actions in both male and female brains. The organizational effects of early estrogen exposure are essential for long-lasting behavioral and cognitive functions. Estradiol mediates many of its effects through the intracellular receptors, estrogen receptor-alpha (ERα) and estrogen receptor-beta (ERβ). In the rodent cerebral cortex, estrogen receptor expression is high early in postnatal life and declines dramatically as the animal approaches puberty. This decline is accompanied by decreased expression of ERα mRNA. This change in expression is the same in both males and females in the developing isocortex and hippocampus. An understanding of the molecular mechanisms involved in the regulation of estrogen receptor alpha (ERα) gene expression is critical for understanding the developmental, as well as changes in postpubertal expression of the estrogen receptor. One mechanism of suppressing gene expression is by the epigenetic modification of the promoter regions by DNA methylation that results in gene silencing. The decrease in ERα mRNA expression during development is accompanied by an increase in promoter methylation. Another example of regulation of ERα gene expression in the adult cortex is the changes that occur following neuronal injury. Many animal studies have demonstrated that the endogenous estrogen, 17β-estradiol, is neuroprotective. Specifically, low levels of estradiol protect the cortex from neuronal death following middle cerebral artery occlusion (MCAO). In females, this protection is mediated through an ERα-dependent mechanism. ERα expression is rapidly increased following MCAO in females, but not in males. This increase is accompanied by a decrease in methylation of the promoter suggesting a return to the developmental program of gene expression within neurons. Taken together, during development and in adulthood, regulation of ERα gene expression in the cortex can occur by DNA methylation and in a sex-dependent fashion in the adult brain.     

Gene transfer into cultured mammalian embryos by electroporation

To gain a better understanding of mammalian development at the molecular level, technology is needed that allows the transfer of exogenous genes into desired embryonic regions at defined stages of development. Our strategy has been to use electroporation (EP) of plasmid DNA following whole-embryo culture (WEC). In our gene transfer system, postimplantation rodent embryos are taken out of the uterus and a purified DNA solution of mammalian expression plasmid constructs is injected into the neural tube. A square-pulse current is delivered using an electroporator with an optimizer. Electroporated embryos are allowed to develop in the WEC system for 24--48 h. Within the targeted area, the proportion of transfected cells varied from 10% to approximately 100% depending on the test conditions (e.g., DNA concentration, voltage, duration of EP, and pulse number). The EP--WEC system has several advantages including rapid gene expression, minimal laboratory work, precisely targeted regions, and no risk for human beings. Application of the method is useful in improving our understanding of early neural development (E7--E12 in mice), e.g., alteration of gene function via ectopic expression, interference with dominant negative proteins, and fate mapping with marker genes. In addition, EP can complement genetic approaches such as the generation of knockout and transgenic mice.     

Gene expression analysis following olfactory learning in Apis mellifera

The honeybee has a strong learning and memory ability, and is recognized as the best model organism for studying the neurobiological basis of learning and memory. In this study, we analyzed the gene expression difference following proboscis extension response-based olfactory learning in the A. mellifera using a tag-based digital gene expression (DGE) method. We obtained about 5.71 and 5.65 million clean tags from the trained group and untrained group, respectively. A total of 259 differentially expressed genes were detected between these two samples, with 30 genes up-regulated and 229 genes down-regulated in trained group compared to the untrained group. These results suggest that bees tend to actively suppress some genes instead of activating previously silent genes after olfactory learning. Our DGE data provide comprehensive gene expression information for olfactory learning, which will facilitate our understanding of the molecular mechanism of honey bee learning and memory.     

Developmental regulation of eukaryotic gene loci: which cis-regulatory information is required?

It is becoming increasingly accepted that gene loci comprise an extensive cis-regulatory system that encodes different layers of regulatory information, all of which are necessary to achieve and maintain tissue-specific gene expression in ontogeny. To gain a detailed understanding of developmental processes, it is clearly necessary to unravel the molecular basis behind the different regulatory processes that control gene expression. This information is also of utmost importance for any practical application that uses gene transfer technology.     

Enriched partial correlations in genome-wide gene expression profiles of hybrids (A. thaliana): a systems biological approach towards the molecular basis of heterosis

Heterosis is a well-known phenomenon but the underlying molecular mechanisms are not yet established. To contribute to the understanding of heterosis at the molecular level, we analyzed genome-wide gene expression profile data of Arabidopsis thaliana in a systems biological approach. We used partial correlations to estimate the global interaction structure of regulatory networks. Our hypothesis states that heterosis comes with an increased number of partial correlations which we interpret as increased numbers of regulatory interactions leading to enlarged adaptability of the hybrids. This hypothesis is true for mid-parent heterosis for our dataset of gene expression in two homozygous parental lines and their reciprocal crosses. For the case of best-parent heterosis just one hybrid is significant regarding our hypothesis based on a resampling analysis. Summarizing, both metabolome and gene expression level of our illustrative dataset support our proposal of a systems biological approach towards a molecular basis of heterosis.     

The next step in systems biology: simulating the temporospatial dynamics of molecular network

As a result of the time- and context-dependency of gene expression, gene regulatory and signaling pathways undergo dynamic changes during development. Creating a model of the dynamics of molecular interaction networks offers enormous potential for understanding how a genome orchestrates the developmental processes of an organism. The dynamic nature of pathway topology calls for new modeling strategies that can capture transient molecular links at the runtime. The aim of this paper is to present a brief and informative, but not all-inclusive, viewpoint on the computational aspects of modeling and simulation of a non-static molecular network.     

Gene suppression technologies in high-throughput analysis: front- and back-side applications

Our understanding of gene function and gene interactions has changed dramatically with the development of high-throughput systems. It now seems clear that any given gene interacts with a number of different partners, and in a number of different molecular pathways. Traditionally, gene function has been studied using animal knockout systems or naturally occurring mutants. RNA-based gene suppression systems for example, RNA interference or ribozymes, offer a number of advantages over the traditional systems, including ease of use, high specificity, and efficacy in nearly any biological system, and the ability to perform large-scale screens. Since their advent in the mid-1990s, DNA microarrays have been the choice for genome-wide expression analysis. The synergistic effect from the combined use of RNA-based gene suppression and molecular profiling is providing researchers with vast amounts of data. As a result, we are rapidly gaining an understanding of gene interactions and function. This review will focus primarily on gene inactivation systems that have been proven worthy of use in molecular pathway analysis when combined with microarray analysis.     

Microbial gene expression in soil: methods, applications and challenges

About 99% of soil microorganisms are unculturable. However, advances in molecular biology techniques allow for the analysis of living microorganisms. With the advent of new technologies and the optimization of previous methods, various approaches to studying gene expression are expanding the field of microbiology and molecular biology. Methods used for RNA extraction, DNA microarrays, real-time PCR, competitive RT-PCR, stable isotope probing and the use of reporter genes provide methods for detecting and quantifying gene expression. Through the use of these methods, researchers can study the influence of soil environmental factors such as nutrients, oxygen status, pH, pollutants, agro-chemicals, moisture and temperature on gene expression and some of the mechanisms involved in the responses of cells to their environment. This review will also address information gaps in bacterial gene expression in soil and possible future research to develop an understanding of microbial activities in soil environments.     

Global gene expression during the human organogenesis: from transcription profiles to function predictions

Human embryogenesis includes an integrated set of complex yet coordinated development of different organs and tissues, which is regulated by the spatiotemporal expression of many genes. Deciphering the gene regulation profile is essential for understanding the molecular basis of human embryo development. While molecular and genetic studies in mouse have served as a valuable tool to understand mammalian development, significant differences exists in human and mouse development at morphological and genomic levels. Thus it is important to carry out research directly on human embryonic development. Here we will review some recent studies on gene regulation during human embryogenesis with particular focus on the period of organogenesis, which had not been well studied previously. We will highlight a gene expression database of human embryos from the 4(th) to the 9(th) week. The analysis of gene regulation during this period reveals that genes functioning in a given developmental process tend to be coordinately regulated during human embryogenesis. This feature allows us to use this database to identify new genes important for a particular developmental process/pathway and deduce the potential function of a novel gene during organogenesis. Such a gene expression atlas should serve as an important resource for molecular study of human development and pathogenesis.     

In silico analysis of angiogenesis associated gene expression identifies angiogenic stage related profiles

In vitro models have been extensively used to map gene expression in ECs but few studies have used cells from in vivo sources directly. Here, we compare different gene expression surveys on both cultured and fresh tissue derived ECs, and it emerges that gene expression profiles can be paralleled with the angiogenic stage of the cells. ECs stimulated with different growth factors in monolayer cultures exhibit gene expression profiles indicative of an active proliferative state, whereas gene expression in tube forming cells in vitro involves genes implicated in cell adhesion processes. Genes overexpressed in tumor ECs are biased towards extracellular matrix remodeling, a late event in angiogenesis. The elucidation of gene expression profiles under these different conditions will contribute to a better understanding of the molecular mechanisms during angiogenesis in both pathological and physiological circumstances and will have implications for the development of angiogenesis interfering treatment strategies.