肥胖患者性别差异的基因表达谱数据分析

目的 采用生物信息学手段对男女肥胖患者与正常人群的差异基因进行分析,研究肥胖个体脂肪细胞基因表达在性别上的差异.方法 从公共数据库基因表达数据库(Gene Expression Omnibus,GEO)中下载肥胖相关数据集,采用Qlucore Omics Explorer(QOE)、DAIVID在线分析,并利用蛋白质相互作用数据库分子作用数据库(MINT)进行蛋白质作用网络分析.结果 在女性患者中,99条基因表达上调,79条下调,男性患者中有39条高表达基因,23条下调基因.GO分析显示女性肥胖患者的差异基因所涉及GO类别较男性患者多,两组蛋白质作用网络核心节点差异较大,FYN与PDIA3分别是男性女性蛋白质作用网络中重要节点.结论 肥胖发生机制存在性别差异,针对节点FYN与PDIA3的后续研究可能对肥胖的发生机制及相应并发症的研究起到重要作用.     

Microarray analysis of sarcomas

Microarrays began to be used to study gene expression profiles in the mid-1990s, but it was only after 2000 that serious attempts have been made to apply this technology to investigate sarcomas. Microarray technologies provide a comprehensive survey of active molecular pathways and potential molecular targets for diagnosis and treatment, but are challenging to use because of issues of specimen collection, cost, and complexities in experimental design and data analysis. As a discovery-based technique, microarray analyses are most valuable when framed around specific gaps in our knowledge of tumor etiology and progression, challenges in differential diagnosis, and pressing therapeutic needs. To date, microarray analyses of sarcomas support their division into molecularly defined and molecularly heterogeneous categories, and have provided useful diagnostic markers for entities such as gastrointestinal stromal tumors, synovial sarcoma, and dermatofibrosarcoma protuberans. Signatures predicting outcome and response to therapy have been published for Ewing sarcoma and osteosarcoma, and receptor tyrosine kinase expression patterns have suggested novel therapeutic approaches which may be applied to several types of sarcoma. Nevertheless, results need to be interpreted in the context of histopathology and validated by complementary technologies and/or other research groups.     

Human papillomavirus type distribution in vulval intraepithelial neoplasia determined using PapilloCheck DNA Microarray

Vulval intraepithelial neoplasia is a precursor of vulval carcinoma, and is frequently associated with human papillomavirus (HPV) infection. Estimates of HPV prevalence in vulval intraepithelial neoplasia vary widely in the UK. The objective of this study was to assess HPV infection in a sample of women with vulval intraepithelial neoplasia, confirmed histologically, and determine the proportion of disease associated with HPV types targeted by prophylactic HPV vaccines. HPV infection was assessed in biopsies from 59 patients using the Greiner Bio‐One PapilloCheck® DNA chip assay. Valid results were obtained for 54 cases. HPV infection was present in 43 of the 54 cases (79.6%: 95% CI 67.1–88.2%). The most common HPV types were HPV 16 (33/54: 61.1%), HPV 33 (8/54: 14.8%), HPV 6 (5/54: 9.3%), and HPV 42 (3/54: 5.6%). The mean age of HPV positive women was significantly less than the mean age of HPV negative women. This is the largest UK series of vulval intraepithelial neoplasia in which HPV type has been investigated, and 34/54 (63.0%, 95% CI: 49.6–78.6%) cases were associated with HPV 16/18, which are targeted by current prophylactic HPV vaccines. J. Med. Virol. 83:1358–1361, 2011. © 2011 Wiley‐Liss, Inc.     

Microarray analysis for constitutional cytogenetic abnormalities

DisclaimerThis guideline is designed primarily as an educational resource for health care providers to help them provide quality medical genetic services. Adherence to this guideline does not necessarily ensure a successful medical outcome. This guideline should not be considered inclusive of all proper procedures and tests or exclusive of other procedures and tests that are reasonably directed to obtaining the same results. In determining the propriety of any specific procedure or test, the geneticist should apply his or her own professional judgment to the specific clinical circumstances presented by the individual patient or specimen. It may be prudent, however, to document in the patient's record the rationale for any significant deviation from this guideline.     

Microarray data classification based on ensemble independent component selection

Independent component analysis (ICA) has been widely deployed to the analysis of microarray datasets. Although it was pointed out that after ICA transformation, different independent components (ICs) are of different biological significance, the IC selection problem is still far from fully explored. In this paper, we propose a genetic algorithm (GA) based ensemble independent component selection (EICS) system. In this system, GA is applied to select a set of optimal IC subsets, which are then used to build diverse and accurate base classifiers. Finally, all base classifiers are combined with majority vote rule. To show the validity of the proposed method, we apply it to classify three DNA microarray data sets involving various human normal and tumor tissue samples. The experimental results show that our ensemble method obtains stable and satisfying classification results when compared with several existing methods.     

Microarray analysis of interferon-regulated genes in SLE

Altered regulation of interferon-alpha (IFNalpha) in systemic lupus erythematosus (SLE) was first demonstrated nearly 25 years ago. However, only recently has due attention been directed towards the central role of this cytokine family in SLE. Several laboratories have used large-scale microarray technology to study global gene expression patterns in heterogeneous populations of peripheral blood cells from lupus patients and control subjects. The results of these studies demonstrate that IFN-regulated genes are among the most significantly overexpressed in SLE mononuclear cells. In view of the protean effects of IFNs on immune system function, increased activity of IFNs may account for many of the immune system alterations that characterize SLE and contribute to autoimmunity. Definition of the nature of the major IFNs, or other factors, that drive the IFN-regulated gene expression signature noted in SLE is an important area for investigation that may lead to new approaches to targeted therapy of SLE.     

Microarray analysis of quorum-sensing-regulated genes in Porphyromonas gingivalis

Quorum sensing is a phenomenon defined as gene regulation in response to cell density that regulates various functions in bacteria. The periodontopathogen Porphyromonas gingivalis possesses a luxS gene homologue that may encode a quorum-sensing system. In order to identify genes of P. gingivalis that are regulated by luxS, gene expression analysis was done using microarrays and RNA samples from the W83 wild-type strain and an isogenic luxS mutant, LY2001. The results indicated that 17 open reading frames (ORFs) in LY2001 are upregulated and two are downregulated. Real-time PCR was done to confirm the microarray results. Among the upregulated ORFs is a group of stress-related genes, including htrA, clpB, groEL, dnaK, and the F subunit of alkyl hydroperoxide reductase. This suggested that luxS is involved in stress gene regulation in P. gingivalis. Stress response experiments, including high-temperature survival, resistance to hydrogen peroxide (H2O2), and survival during exposure to low and high pH, were performed on the P. gingivalis wild-type and LY2001 strains. LY2001 had a significantly higher survival rate than did W83 when stressed at 50 degrees C. No difference was found at pH 5, but LY2001 had increased survival compared to W83 at pH 9. LY2001 also survived better than W83 when stressed with 0.35 mM H2O2. These results suggest that luxS might be involved in promoting survival of P. gingivalis in the host by regulating its response to host-induced stresses such as temperature, H2O2, and pH.     

Microarray analysis of promoter methylation in lung cancers

Aberrant DNA methylation is an important event in carcinogenesis. Of the various regions of a gene that can be methylated in cancers, the promoter is the most important for the regulation of gene expression. Here, we describe a microarray analysis of DNA methylation in the promoter regions of genes using a newly developed promoter-associated methylated DNA amplification DNA chip (PMAD). For each sample, methylated Hpa II-resistant DNA fragments and Msp I-cleaved (unmethylated + methylated) DNA fragments were amplified and labeled with Cy3 and Cy5 respectively, then hybridized to a microarray containing the promoters of 288 cancer-related genes. Signals from Hpa II-resistant (methylated) DNA (Cy3) were normalized to signals from Msp I-cleaved (unmethylated + methylated) DNA fragments (Cy5). Normalized signals from lung cancer cell lines were compared to signals from normal lung cells. About 10.9% of the cancer-related genes were hypermethylated in lung cancer cell lines. Notably, HIC1, IRF7, ASC, RIPK3, RASSF1A, FABP3, PRKCDBP, and PAX3 genes were hypermethylated in most lung cancer cell lines examined. The expression profiles of these genes correlated to the methylation profiles of the genes, indicating that the microarray analysis of DNA methylation in the promoter region of the genes is convenient for epigenetic study. Further analysis of primary tumors indicated that the frequency of hypermethylation was high for ASC (82%) and PAX3 (86%) in all tumor types, and high for RIPK3 in small cell carcinoma (57%). This demonstrates that our PMAD method is effective at finding epigenetic changes during cancer.Electronic Supplementary Material Supplementary material is available for this article at and is accessible for authorized users.     

Microarray analysis of VEGF-responsive genes in myometrial endothelial cells

There is evidence that the vasculature of different organs display different functional characteristics in response to cytokines and growth factors. The aim of this study was to use cDNA gene expression microarray to analyse changes in gene expression following stimulation of myometrial microvascular endothelial cells (MMECs) with vascular endothelial growth factor (VEGF). Primary isolates of MMECs were obtained from fresh hysterectomy specimens and purified with magnetic beads. Cells were stimulated with 15 ng/ml VEGF for 3, 6 and 12 h, and two unstimulated experiments served as controls. A total of six arrays was performed over these time-points. A total of 110 genes were identified as up-regulated by VEGF, 19% of which (21 genes) have previously been reported as up-regulated by VEGF or by angiogenesis. Among the novel genes to be up-regulated by VEGF were brain-derived growth factor, oxytocin receptor and estrogen sulphotransferase. The significance of the genes identified in the physiological and pathological functioning of the myometrial vasculature is discussed.     

先兆子痫胎盘的基因表达谱研究

目的： 利用cDNA芯片分析先兆子痫胎盘中基因表达的变化情况,寻找新的先兆子痫相关基因。方法: 建立含12 000个与代谢、凋亡、细胞黏附、信号转导、转录因子等有关基因的cDNA表达谱芯片,将先兆子痫及正常胎盘mRNA与cDNA芯片进行杂交,得到先兆子痫的基因表达谱;对部分差异表达基因进行Northern验证。结果: 在4例先兆子痫胎盘组织中发现均有差异表达的基因44个,其中表达上调有30个,表达下调有14个,Northern杂交鉴定的结果与芯片结果相符合。结论: 重度妊娠高血压疾病的基因表达谱存在明显差异,差异的基因可能涉及信号转导、细胞代谢、炎性细胞因子等方面,这些基因可能与妊娠高血压病的发病相关。     

Microarray analysis of gene expression during epithelial-mesenchymal transformation.

One of the most fundamental biological processes in development, as well as a primary mechanism for tumor metastasis, is epithelial-mesenchymal transformation (EMT). To gain a greater understanding of this transition, we have obtained a genomic profile of the critical stages before and during this rapid change in morphology in the developing mouse palate. By isolating the medial edge epithelium of each palatal shelf, we were able to obtain pure gene expression data without contamination from surrounding mesenchymal cells. Our results support the important role of the TGF-beta/Smad signal transduction pathway in the stimulation of EMT by means of up-regulation of the EMT-inducing gene, LEF-1. We document changes in gene expression profiles during palatal adherence and subsequent transformation of the medial edge epithelial seam that suggests a high number of LEF-1 target genes promote cellular transformation to mesenchyme. These include genes involved in cell adhesion, polarity, cytoskeletal dynamics, migration, and intracellular signaling. This knowledge of the changes in gene expression levels during palatogenesis should lead to a better understanding of the mechanisms of EMT.     

Chromosomes in neoplasia: An appeal for unpublished data

In relation to a recent survey of chromosome aberrations in 856 human neoplasms the following points are presented: 1) the chromosome aberrations of significance to the biology of neoplasms are nonrandom; 2) aberrations of a particular chromosome tend to be of similar kind; 3) aberrations cluster to a limited number of specific chromosomes; 4) geographic differences have been observed in chromosome aberrations; 5) the karyotypic pattern of a neoplasm may be influenced by previous exposure to potential carcinogenic agents; 6) the role of chromosome aberrations in neoplasia—a hypothesis; 7) a plea is made for unpublished data to be included in our next survey of chromosome aberrations.     

Image analysis for discrimination of cervical neoplasia

Colposcopy involves visual imaging of the cervix for patients who have exhibited some prior indication of abnormality, and the major goals are to visually inspect for any malignancies and to guide biopsy sampling. Currently colposcopy equipment is being upgraded in many health care centers to incorporate digital image acquisition and archiving. These permanent images can be analyzed for characteristic features and color patterns which may enhance the specificity and objectivity of the routine exam. In this study a series of images from patients with biopsy confirmed cervical intraepithelia neoplasia stage 2/3 are compared with images from patients with biopsy confirmed immature squamous metaplasia, with the goal of determining optimal criteria for automated discrimination between them. All images were separated into their red, green, and blue channels, and comparisons were made between relative intensity, intensity variation, spatial frequencies, fractal dimension, and Euler number. This study indicates that computer-based processing of cervical images can provide some discrimination of the type of tissue features which are important for clinical evaluation, with the Euler number being the most clinically useful feature to discriminate metaplasia from neoplasia. Also there was a strong indication that morphology observed in the blue channel of the image provided more information about epithelial cell changes. Further research in this field can lead to advances in computer-aided diagnosis as well as the potential for online image enhancement in digital colposcopy.     

Microarray comparative genomic hybridization analysis of 59 patients with schizophrenia

Schizophrenia is a common psychiatric disorder with a strong genetic contribution. Disease-associated chromosomal abnormalities in this condition may provide important clues, such as DISC1. In this study, 59 schizophrenia patients were analyzed by microarray comparative genomic hybridization (CGH) using custom bacterial artificial chromosome (BAC) microarray (4,219 BACs with 0.7-Mb resolution). Chromosomal abnormalities were found in six patients (10%): 46,XY,der(13)t(12;13)(p12.1; p11).ish del(5)(p11p12); 46,XY, ish del(17)(p12p12); 46,XX.ish dup(11)(p13p13); and 46,X,idic(Y)(q11.2); and in two cases, mos 45,X/46XX. Autosomal abnormalities in three cases are likely to be pathogenic, and sex chromosome abnormalities in three follow previous findings. It is noteworthy that 10% of patients with schizophrenia have (sub)microscopic chromosomal abnormalities, indicating that genome-wide copy number survey should be considered in genetic studies of schizophrenia.