Gene expression signatures for autoimmune disease in peripheral blood mononuclear cells

The relatively new technology of DNA microarrays offers the possibility to probe the human genome for clues to the pathogenesis and treatment of human disease. While early studies using this approach were largely in oncology, many new reports are emerging in other fields including infectious diseases and pharmacology, and applications in autoimmunity have been recently reported by our group and others. Some of these investigations have examined animal models of autoimmune disease, but a number of human studies have also been carried out. Of special interest are those that have used peripheral blood samples because, unlike tissue biopsies, these are readily available from all subjects. Using this approach, patterns of gene expression can be detected that distinguish patients with autoimmune conditions from normal subjects. Furthermore, the genes that are identified provide clues to possible pathogenetic mechanisms and are likely to be useful in developing tests to establish diagnostic categories and predict therapeutic responses.     

Gene expression signatures in lymphoid tumours

Lymphoid tumours comprise the acute and chronic leukaemias, the broad spectrum of lymphomas, including Hodgkin's disease, and multiple myeloma. The subdivision of the acute leukaemias according to the proliferating type of white blood cells has had a major impact on the care of these patients. More recently, specific chromosomal translocations have been used to identify patients who may benefit from more intensive therapies. The novel high-throughput genomic technologies, such as microarrays, provide new avenues for the molecular diagnosis of the haematological malignancies. Rapid advances in genome sequencing and gene expression profiling provide unprecedented opportunities to identify specific genes involved in complex biological processes, including tumorigenesis. The features of microarray technology and the variety of experimental approaches to elucidate lymphoid malignancies are discussed. Microarray technology has the potential to lead to more accurate prognostic assessment for patients and is expected to ultimately allow the clinician to select therapies optimally suited to each patient.     

Identification of candidate disease genes by integrating Gene Ontologies and protein-interaction networks: case study of primary immunodeficiencies

Disease gene identification is still a challenge despite modern high-throughput methods. Many diseases are very rare or lethal and thus cannot be investigated with traditional methods. Several in silico methods have been developed but they have some limitations. We introduce a new method that combines information about protein-interaction network properties and Gene Ontology terms. Genes with high-calculated network scores and statistically significant gene ontology terms based on known diseases are prioritized as candidate genes. The method was applied to identify novel primary immunodeficiency-related genes, 26 of which were found. The investigation uses the protein-interaction network for all essential immunome human genes available in the Immunome Knowledge Base and an analysis of their enriched gene ontology annotations. The identified disease gene candidates are mainly involved in cellular signaling including receptors, protein kinases and adaptor and binding proteins as well as enzymes. The method can be generalized for any disease group with sufficient information.     

Gene expression profiling of cardiovascular disease models

Recent development of gene expression profiling technologies has enabled the large-scale analysis of gene expression changes during disease progression. Frequently, cardiovascular diseases involve complex interactions of multiple cell types over prolonged periods of time. A better understanding of the pathology of cardiovascular diseases and the potential identification of underlying genetic defects are currently being explored by using profiling methodologies in a number of animal and tissue-culture models.     

Gene and microRNA expression signatures of human mesenchymal stromal cells in comparison to fibroblasts

Human mesenchymal stromal cells (MSCs) offer great hope for the treatment of tissue degenerative and immune diseases, but their phenotypic similarity to dermal fibroblasts may hinder robust cell identification and isolation from diverse tissue harvests. To identify genetic elements that can reliably discriminate MSCs from fibroblasts, we performed comparative gene and microRNA expression profiling analyses with genome-wide oligonucleotide microarrays. When taken globally, both gene and microRNA expression profiles of MSCs were highly similar to those of fibroblasts, accounting well for their extensive phenotypic and functional overlaps. Scattered expression differences were pooled to yield an MSC-specific molecular signature, consisting of 64 genes and 21 microRNAs whose expressions were at least 10-fold and two-fold higher, respectively, in MSCs compared with fibroblasts. Genes either encoding transmembrane proteins or associated with tumors were relatively abundant in this signature. These data should provide the molecular basis not only for the discovery of novel diagnostic markers discriminating MSCs from fibroblasts, but also for further studies on MSC-specific signaling mechanisms. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users. Sohyun Bae and Jung Hoon Ahn contributed equally to this work. This research was supported in part by a grant (SC-2140) from Stem Cell Research Center of the 21st Century Frontier Research Program, and in part by Korea Science and Engineering Foundation grant (M10641000037) funded by the Ministry of Education, Science and Technology, Republic of Korea.     

基因编辑动物模型在人类疾病研究中的应用

近年来,随着以CRISPR/Cas9为代表的多种CRISPR系统的开发和不断改进,基因编辑技术逐渐完善,并广泛应用于人类疾病动物模型的制备。基因编辑动物模型为人类疾病的发病机理、病理过程以及预防和治疗等方面的研究提供了重要的素材。目前,用于人类疾病研究的基因编辑动物模型主要有小鼠、大鼠为代表的啮齿类动物模型和以猪为代表的大动物模型。其中啮齿类动物在机体各方面与人类差别较大,且寿命短,无法对人类疾病的研究和治疗提供有效评估和长期追踪;而猪在生理学、解剖学、营养学和遗传学等各方面与人类更接近,是器官移植和人类疾病研究领域重要的动物模型。文中主要介绍了基因编辑动物模型在神经退行性疾病、肥厚心肌病、癌症、免疫缺陷类疾病和代谢性疾病等5种人类疾病研究中的应用情况,以期为人类疾病研究及相关动物模型的制备提供参考。     

Technical approaches for mouse models of human disease

The mouse is the leading organism for disease research. A rich resource of genetic variation occurs naturally in inbred and special strains owing to spontaneous mutations. However, one can also obtain desired gene mutations by using the following processes: targeted mutations that eliminate function in the whole organism or in a specific tissue; forward genetic screens using chemicals or transposons; or the introduction of exogenous transgenes as DNAs, bacterial artificial chromosomes (BACs) or reporter constructs. The mouse is the only mammal that provides such a rich resource of genetic diversity coupled with the potential for extensive genome manipulation, and is therefore a powerful application for modeling human disease. This poster review outlines the major genome manipulations available in the mouse that are used to understand human disease: natural variation, reverse genetics, forward genetics, transgenics and transposons. Each of these applications will be essential for understanding the diversity that is being discovered within the human population.     

Defects in mitochondrial dynamics and metabolomic signatures of evolving energetic stress in mouse models of familial Alzheimer's disease

Background

The identification of early mechanisms underlying Alzheimer''s Disease (AD) and associated biomarkers could advance development of new therapies and improve monitoring and predicting of AD progression. Mitochondrial dysfunction has been suggested to underlie AD pathophysiology, however, no comprehensive study exists that evaluates the effect of different familial AD (FAD) mutations on mitochondrial function, dynamics, and brain energetics.

Methods and Findings

We characterized early mitochondrial dysfunction and metabolomic signatures of energetic stress in three commonly used transgenic mouse models of FAD. Assessment of mitochondrial motility, distribution, dynamics, morphology, and metabolomic profiling revealed the specific effect of each FAD mutation on the development of mitochondrial stress and dysfunction. Inhibition of mitochondrial trafficking was characteristic for embryonic neurons from mice expressing mutant human presenilin 1, PS1(M146L) and the double mutation of human amyloid precursor protein APP(Tg2576) and PS1(M146L) contributing to the increased susceptibility of neurons to excitotoxic cell death. Significant changes in mitochondrial morphology were detected in APP and APP/PS1 mice. All three FAD models demonstrated a loss of the integrity of synaptic mitochondria and energy production. Metabolomic profiling revealed mutation-specific changes in the levels of metabolites reflecting altered energy metabolism and mitochondrial dysfunction in brains of FAD mice. Metabolic biomarkers adequately reflected gender differences similar to that reported for AD patients and correlated well with the biomarkers currently used for diagnosis in humans.

Conclusions

Mutation-specific alterations in mitochondrial dynamics, morphology and function in FAD mice occurred prior to the onset of memory and neurological phenotype and before the formation of amyloid deposits. Metabolomic signatures of mitochondrial stress and altered energy metabolism indicated alterations in nucleotide, Krebs cycle, energy transfer, carbohydrate, neurotransmitter, and amino acid metabolic pathways. Mitochondrial dysfunction, therefore, is an underlying event in AD progression, and FAD mouse models provide valuable tools to study early molecular mechanisms implicated in AD.     

Insights from mouse models into human retinoblastoma

Novel murine models of retinoblastoma based on Rb gene deletion in concert with inactivation of Rb family members have recently been developed. These new Rb knockout models of retinoblastoma provide excellent tools for pre-clinical studies and for the exploration of the genetics of tumorigenesis driven by RB inactivation. This review focuses on the developmental consequences of Rb deletion in the retina and the genetic interactions between Rb and the two other members of the pocket protein family, p107 (Rbl1) and p130 (Rbl2). There is increasing appreciation that homozygous RB mutations are insufficient for human retinoblastoma. Identifying and understanding secondary gene alterations that cooperate with RB inactivation in tumorigenesis may be facilitated by mouse models. Recent investigation of the p53 pathway in retinoblastoma, and evidence of spatial topology to early murine retinoblastoma are also discussed in this review.     

Now and future of mouse mutagenesis for human disease models

One of the major objectives of the Human Genome Project is to understand the biological function of the gene and genome as well as to develop clinical applications for human diseases. For this purpose, the experimental validations and preclinical trails by using animal models are indispensable. The mouse (Mus musculus) is one of the best animal models because genetics is well established in the mouse and embryonic manipulation technologies are also well developed. Large-scale mouse mutagenesis projects have been conducted to de-velop various mouse models since 1997. Originally, the phenotype-driven mutagenesis with N-ethyl-N-nitrosourea (ENU) has been the major efforts internationally then knockout/conditional mouse projects and gene-driven mutagenesis have been following. At the beginning, simple monogenic traits in the experimental condition have been elucidated. Then, more complex traits with variety of environmental interactions and gene-to-gene interactions (epistasis) have been challenged with mutant mice. In addition, chromosomal substitution swains and collaborative cross strains are also available to elucidate the complex Waits in the mouse. Altogether, mouse models with mutagenesis and various laboratory strains will accelerate the studies of functional genomics in the mouse as well as in human.     

Relevance of transgenic mouse models to human Alzheimer disease

During the past 2 decades, the elucidation of susceptibility and causative genes for Alzheimer disease as well as proteins involved in the pathogenic process has greatly facilitated the development of genetically altered mouse models. These models have played a major role in defining critical disease-related mechanisms and in evaluating novel therapeutic approaches, with many treatments currently in clinical trial owing their origins to studies initially performed in mice. This review discusses the utility of transgenic mice as a research tool and their contributions to our understanding of Alzheimer disease.     

Gene expression in flow sorted mouse teratocarcinoma X human fibroblast heterokaryons

Abstract. Mouse teratocarcinoma cells and primary human fibroblasts were fluorescently labelled with fluorescein isothiocyanate (F1TC)- and trimethylrhodamine isothiocyanate (TR1TC)-stearylamine respectively. After fusion populations highly enriched for red-green heterokaryons (around 80%) were isolated from the fusion mixture using a FACS II cell sorter.
To study gene expression in the early hybrids [³⁵S] methionine-labelled proteins synthesized by the sorted cells at two and three days after fusion were analysed by two-dimensional gel electrophoresis. Three spots were denser in gels of the fused cells than in those of 1:1 mixtures of parental cells. For one of these proteins it could be demonstrated that this reflects the enhanced synthesis of a mouse-specific protein present only in small amounts in teratocarcinoma cells. All three proteins were synthesized in relatively large amounts by differentiated mouse cells.
Collagen (type I) synthesis by the sorted hybrid cells was studied by analysing the [³H] proline-labelled material secreted into the medium. Analysis by sodium dodecyl sulphate (SDS)-gel electrophoresis and two-dimensional non-equilibrium pH gradient electrophoresis showed that the material secreted by the fused cells five days after fusion was the same as that secreted by the human fibroblasts. No evidence was obtained for synthesis of mouse α2(I) collagen. The amount of collagen produced by the sorted cells five days after fusion was about half the amount produced by the human fibroblasts. Immunofluorescence studies also showed that collagen synthesis was not suppressed after fusion both in heterokaryons and synkaryons.
In conclusion, we did not find evidence for activation of a previously completely silent mouse gene in the fused cells. The results show, however, that the fused cells do resemble the differentiated fibroblasts rather than the undifferentiated teratocarcinoma cells.