Genomics and homeostasis

The Cannon lecture this year illustrates how knowledge of DNA sequences of complex living organisms is beginning to shape the landscape of physiology in the 21st century. Enormous challenges and opportunities now exist for physiologists to relate the galaxy of genes to normal and pathological functions. The first extensive genomic systems biology map for cardiovascular and renal function was completed last year as well as a new hypothesis-generating tool ("physiological profiling") that enables us to hypothesize relationships between specific genes responsible for the regulation of regulatory pathways. Techniques of chromosomal substitution (consomic and congenic rats) are beginning to confirm statistical results from linkage analysis studies, narrow the regions of genetic interest for positional cloning, and provide genetically well-defined control strains for physiological studies. Patterns of gene expression identified by microarray and mapping of expressed genes to chromosomal sites are adding to the understanding of systems physiology. The previously unimaginable goal of connecting approximately 36,000 genes to the complex functions of mammalian systems is indeed well underway.     

Laminar and Dorsoventral Molecular Organization of the Medial Entorhinal Cortex Revealed by Large-scale Anatomical Analysis of Gene Expression

Neural circuits in the medial entorhinal cortex (MEC) encode an animal’s position and orientation in space. Within the MEC spatial representations, including grid and directional firing fields, have a laminar and dorsoventral organization that corresponds to a similar topography of neuronal connectivity and cellular properties. Yet, in part due to the challenges of integrating anatomical data at the resolution of cortical layers and borders, we know little about the molecular components underlying this organization. To address this we develop a new computational pipeline for high-throughput analysis and comparison of in situ hybridization (ISH) images at laminar resolution. We apply this pipeline to ISH data for over 16,000 genes in the Allen Brain Atlas and validate our analysis with RNA sequencing of MEC tissue from adult mice. We find that differential gene expression delineates the borders of the MEC with neighboring brain structures and reveals its laminar and dorsoventral organization. We propose a new molecular basis for distinguishing the deep layers of the MEC and show that their similarity to corresponding layers of neocortex is greater than that of superficial layers. Our analysis identifies ion channel-, cell adhesion- and synapse-related genes as candidates for functional differentiation of MEC layers and for encoding of spatial information at different scales along the dorsoventral axis of the MEC. We also reveal laminar organization of genes related to disease pathology and suggest that a high metabolic demand predisposes layer II to neurodegenerative pathology. In principle, our computational pipeline can be applied to high-throughput analysis of many forms of neuroanatomical data. Our results support the hypothesis that differences in gene expression contribute to functional specialization of superficial layers of the MEC and dorsoventral organization of the scale of spatial representations.     

Phylogenomic analysis of gene co‐expression networks reveals the evolution of functional modules

Molecular evolutionary studies correlate genomic and phylogenetic information with the emergence of new traits of organisms. These traits are, however, the consequence of dynamic gene networks composed of functional modules, which might not be captured by genomic analyses. Here, we established a method that combines large‐scale genomic and phylogenetic data with gene co‐expression networks to extensively study the evolutionary make‐up of modules in the moss Physcomitrella patens, and in the angiosperms Arabidopsis thaliana and Oryza sativa (rice). We first show that younger genes are less annotated than older genes. By mapping genomic data onto the co‐expression networks, we found that genes from the same evolutionary period tend to be connected, whereas old and young genes tend to be disconnected. Consequently, the analysis revealed modules that emerged at a specific time in plant evolution. To uncover the evolutionary relationships of the modules that are conserved across the plant kingdom, we added phylogenetic information that revealed duplication and speciation events on the module level. This combined analysis revealed an independent duplication of cell wall modules in bryophytes and angiosperms, suggesting a parallel evolution of cell wall pathways in land plants. We provide an online tool allowing plant researchers to perform these analyses at http://www.gene2function.de .     

Complementation hypothesis: the necessity of a monoallelic gene expression mechanism in mammalian development

Gene expression from both parental alleles (biallelic expression) is beneficial in minimizing the occurrence of recessive genetic disorders in diploid organisms. However, imprinted genes in mammals display parent of origin-specific monoallelic expression. As some imprinted genes play essential roles in mammalian development, the reason why mammals adopted the genomic imprinting mechanism has been a mystery since its discovery. In this review, based on the recent studies on imprinted gene regulation we discuss several advantageous features of a monoallelic expression mechanism and the necessity of genomic imprinting in the current mammalian developmental system. We further speculate how the present genomic imprinting system has been established during mammalian evolution by the mechanism of complementation between paternal and maternal genomes under evolutionary pressure predicted by the genetic conflict hypothesis.     

Monoallelic gene expression and its mechanisms

Although the majority of genes are expressed equally from both alleles, some genes are differentially expressed. Monoallelic gene expression, the differential gene expression of the alleles such as genomic imprinting, is reported in several organisms and plays significant roles in proper development and diversity in gene expression and phenotypic variation. Recent studies in flowering plants have greatly increased our understanding of the underlying mechanisms of monoallelic gene expression. They indicate that machineries of gene silencing such as DNA methylation, histone modifications, and noncoding RNAs function in monoallelic gene expression. A combination of genetics and high-throughput technologies expands the scope of study on monoallelic gene expression in flowering plants.     

Fluorescent in situ hybridization technique for cell type identification and characterization in the central nervous system

Central nervous system consists of a myriad of cell types. In particular, many subtypes of neuronal cells, which are interconnected with each other, form the basis of functional circuits. With the advent of genomic era, there have been systematic efforts to map gene expression profiles by in situ hybridization (ISH) and enhancer-trapping strategy. To make full use of such information, it is important to correlate “cell types” to gene expression. Toward this end, we have developed highly sensitive method of fluorescent dual-probe ISH, which is essential to distinguish two cell types expressing distinct marker genes. Importantly, we were able to combine ISH with retrograde tracing and antibody staining including BrdU staining that enables birthdating. These techniques should prove useful in identifying and characterizing the cell types of the neural tissues. In this article, we describe the methodology of these techniques, taking examples from our analyses of the mammalian cerebral cortex.     

Genome-wide survey of imprinted genes

The developmental failure of mammalian parthenogenote has been a mystery for a long time and posed a question as to why bi-parental reproduction is necessary for development to term. In the 1980s, it was proven that this failure was not due to the genetic information itself, but to epigenetic modification of genomic DNA. In the following decade, several studies successfully identified imprinted genes which were differentially expressed in a parent-of-origin-specific manner, and it was shown that the differential expression depended on the pattern of DNA methylation. These facts prompted development of genome-wide systematic screening methods based on DNA methylation and differential gene expression to identify imprinted genes. Recently computational approaches and microarray technology have been introduced to identify imprinted genes/loci, contributing to the expansion of our knowledge. However, it has been shown that the gene silencing derived from genomic imprinting is accomplished by several mechanisms in addition to direct DNA methylation, indicating that novel approaches are further required for comprehensive understanding of genomic imprinting. To unveil the mechanism of developmental failure in mammalian parthenogenote, systematic screenings for imprinted genes/loci have been developed. In this review, we describe genomic imprinting focusing on the history of genome-wide screening.     

Cloning and characterization of the mammalian-specific nicolin 1 gene (NICN1) encoding a nuclear 24 kDa protein.

We have identified a novel mammalian gene, termed nicolin 1 gene (NICN1), that is present in human, dog and mouse, whereas it is absent from the available genome sequences of nonmammalian organisms. The NICN1 gene consists of six exons and spans about 6 kb of genomic DNA. It encodes a 213 amino acid protein that does not belong to any known protein family. Experiments using green fluorescent protein (GFP)-tagged nicolin 1 fusion proteins indicate that nicolin 1 is a nuclear protein. Northern analysis and semiquantitative RT-PCR demonstrated that the 2.5 kb NICN1 mRNA is expressed in a tissue-specific manner. The highest NICN1 expression levels are found in brain, testis, liver, and kidney. On the other hand the NICN1 expression is weak in spleen, leukocytes, small intestine and colon. The NICN1 gene is also expressed during development.     

The intracellular antibody capture technology: towards the high-throughput selection of functional intracellular antibodies for target validation

Several approaches have been developed over the past decade to study the complex interactions that occur in biological system. The ability to carry out a comprehensive genetic analysis of an organism becomes more limited and difficult as the complexity of the organism increases because complex organisms are likely to have not only more genes than simple organisms but also more elaborate networks of interactions among those genes. The development of technologies to systematically disrupt protein networks at the genomic scale would greatly accelerate the comprehensive understanding of the cell as molecular machinery. Intracellular antibodies (intrabodies) can be targeted to different intracellular compartments to specifically interfere with function of selected intracellular gene products in mammalian cells. This technique should prove important for studies of mammalian cells, where genetic approaches are more difficult. In the context of large-scale protein interaction mapping projects, intracellular antibodies (ICAbs) promise to be an important tool to knocking out protein function inside the cell. In this context, however, the need for speed and high throughput requires the development of simple and robust methods to derive antibodies which function within cells, without the need for optimization of each individual ICAb. The successful inhibition of biological processes by intrabodies has been demonstrated in a number of different cells. The performance of antibodies that are intracellularly expressed is, however, somewhat unpredictable, because the reducing environment of the cell cytoplasm in which they are forced to work prevents some antibodies, but not others, to fold properly. For this reason, we have developed an in vivo selection procedure named Intracellular Antibody Capture Technology (IACT) that allows the isolation of functional intrabodies. The IAC technology has been used for the rapid identification of antigen-antibody pairs in intracellular compartments and for the in vivo identification of epitopes recognized by the selected intracellular antibodies. Several optimizations of the IAC technology for protein knock-out have been developed so far. This system offers a powerful and versatile proteomic tool to dissect diverse functional properties of cellular proteins in different cell lines.     

DNA sequence analysis of 66 kb of the human MHC class II region encoding a cluster of genes for antigen processing.

The genomic sequence of a 66,109 bp long region within the human MHC has been determined by manual and automated DNA sequencing. From cDNA mapping and sequencing data it is known that this region contains a cluster of at least four genes that are believed to be involved in antigen processing. Here, we describe the genomic organization of these genes, which comprise two proteasome-related genes (LMP2 and LMP7), thought to be involved in the proteolytic degradation of cytoplasmic antigens and two ABC transporter genes (TAP1 and TAP2), thought to be involved in pumping of the degraded peptides across the endoplasmic reticulum membrane. Analysis of the sequence homology and the intron/exon structures of the corresponding genes suggests that one gene pair arose by duplication from the other. Comparison of the available sequence data from other organisms shows striking conservation (70 to 84%) of this gene cluster in human, mouse and rat. The presence of several potential interferon stimulated response elements (ISREs) is in agreement with the experimentally observed up-regulation of these genes with gamma-interferon.     

遗传与基因表达数据的整合—— eQTL的方法及应用

高通量的基因型分析和芯片技术的发展使人们能够进一步研究哪些遗传差异最终影响基因的表达。通过表达数量性状座位(eQTL)作图方法可对基因表达水平的遗传基础进行解析。与传统的QTL分析方法一样, eQTL的主要目标是鉴别表达性状座位所在的染色体区域。但由于表达谱数据成千上万, 而传统的QTL分析方法最多分析几十个性状, 因此需要考虑这类实验设计的特点以及统计分析方法。本文详细介绍了eQTL定位过程及其研究方法, 重点从个体选择、基因芯片实验设计、基因表达数据的获得与标准化、作图方法及结果分析等方面进行了综述, 指出了当前eQTL研究存在的问题和局限性。最后介绍了eQTL研究在估计基因表达遗传率、挖掘候选基因、构建基因调控网络、理解基因间及基因与环境的互作的应用进展。     

Multiple calmodulin mRNA species are derived from two distinct genes.

We have observed three calmodulin mRNA species in rat tissues. In order to know from how many expressed genes they are derived, we have investigated the genomic organization of calmodulin genes in the rat genome. From a rat brain cDNA library, we obtained two kinds of cDNAs (pRCM1 and pRCM3) encoding authentic calmodulin. DNA sequence analysis of these cDNA clones revealed substitutions of nucleotides at 73 positions of 450 nucleotides in the coding region, although the amino acid sequences of these calmodulins are exactly the same. DNA sequences in the 5' and 3' noncoding regions are quite different between these two cDNAs. From these results, we conclude that they are derived from two distinct bona fide calmodulin genes, CaMI (pRCM1) and CaMII (pRCM3). Total genomic Southern hybridization suggested four distinct calmodulin-related genes in the rat genome. By cloning and sequencing the calmodulin-related genes from rat genomic libraries, we demonstrated that the other two genes are processed pseudogenes generated from the CaMI (lambda SC9) and CaMII (lambda SC8) genes, respectively, through an mRNA-mediated process of insertions. Northern blotting showed that the CaMI gene is transcribed in liver, muscle, and brain in similar amounts, whereas the CaMII gene is transcribed mainly in brain. S1 nuclease mapping indicated that the CaMI gene produced two mRNA species (1.7 and 4 kilobases), whereas the CaMII gene expressed a single mRNA species (1.4 kilobases).