8 research outputs found

    Use of routinely collected amniotic fluid for whole-genome expression analysis of polygenic disorders

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    BACKGROUND: Neural tube defects related to polygenic disorders are the second most common birth defects in the world, but no molecular biologic tests are available to analyze the genes involved in the pathomechanism of these disorders. We explored the use of routinely collected amniotic fluid to characterize the differential gene expression profiles of polygenic disorders. METHODS: We used oligonucleotide microarrays to analyze amniotic fluid samples obtained from pregnant women carrying fetuses with neural tube defects diagnosed during ultrasound examination. The control samples were obtained from pregnant women who underwent routine genetic amniocentesis because of advanced maternal age (>35 years). We also investigated specific folate-related genes because maternal periconceptional folic acid supplementation has been found to have a protective effect with respect to neural tube defects. RESULTS: Fetal mRNA from amniocytes was successfully isolated, amplified, labeled, and hybridized to whole-genome transcript arrays. We detected differential gene expression profiles between cases and controls. Highlighted genes such as SLA, LST1, and BENE might be important in the development of neural tube defects. None of the specific folate-related genes were in the top 100 associated transcripts. CONCLUSIONS: This pilot study demonstrated that a routinely collected amount of amniotic fluid (as small as 6 mL) can provide sufficient RNA to successfully hybridize to expression arrays. Analysis of the differences in fetal gene expressions might help us decipher the complex genetic background of polygenic disorders

    Inflammation, adenoma and cancer: Objective classification of colon biopsy specimens with gene expression signature

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    Gene expression analysis of colon biopsies using high-density oligonucleotide microarrays can contribute to the understanding of local pathophysiological alterations and to functional classification of adenoma (15 samples), colorectal carcinomas (CRC) (15) and inflammatory bowel diseases (IBD) (14). Total RNA was extracted, amplified and biotinylated from frozen colonic biopsies. Genome-wide gene expression profile was evaluated by HGU133plus2 microarrays and verified by RT-PCR. We applied two independent methods for data normalization and used PAM for feature selection. Leave one-out stepwise discriminant analysis was performed. Top validated genes included collagenIV alpha 1, lipocalin-2, calumenin, aquaporin-8 genes in CRC; CD44, met proto-oncogene, chemokine ligand-12, ADAM-like decysin-1 and ATP-binding casette-A8 genes in adenoma; and lipocalin-2, ubiquitin D and IFITM2 genes in IBD. Best differentiating markers between Ulcerative colitis and Crohn's disease were cyclin-G2; tripartite motif-containing-31; TNFR shedding aminopeptidase regulator-1 and AMICA. The discriminant analysis was able to classify the samples in overall 96.2% using 7 discriminatory genes (indoleamine-pyrrole-2,3-dioxygenase, ectodermal-neural cortex, TIMP3, fucosyltransferase-8, collectin sub-family member 12, carboxypeptidase D, and transglutaminase- 2). Using routine biopsy samples we successfully performed whole genomic microarray analysis to identify discriminative signatures. Our results provide further insight into the pathophysiological background of colonic diseases. The results set up data warehouse which can be mined further

    Aberrant DNA methylation of WNT pathway genes in the development and progression of CIMP-negative colorectal cancer

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    The WNT signaling pathway has an essential role in colorectal carcinogenesis and progression, which involves a cascade of genetic and epigenetic changes. We aimed to analyze DNA methylation affecting the WNT pathway genes in colorectal carcinogenesis in promoter and gene body regions using whole methylome analysis in 9 colorectal cancer, 15 adenoma, and 6 normal tumor adjacent tissue (NAT) samples by methyl capture sequencing. Functional methylation was confirmed on 5-aza-2′-deoxycytidine-treated colorectal cancer cell line datasets. In parallel with the DNA methylation analysis, mutations of WNT pathway genes (APC, β-catenin/CTNNB1) were analyzed by 454 sequencing on GS Junior platform. Most differentially methylated CpG sites were localized in gene body regions (95% of WNT pathway genes). In the promoter regions, 33 of the 160 analyzed WNT pathway genes were differentially methylated in colorectal cancer vs. normal, including hypermethylated AXIN2, CHP1, PRICKLE1, SFRP1, SFRP2, SOX17, and hypomethylated CACYBP, CTNNB1, MYC; 44 genes in adenoma vs. NAT; and 41 genes in colorectal cancer vs. adenoma comparisons. Hypermethylation of AXIN2, DKK1, VANGL1, and WNT5A gene promoters was higher, while those of SOX17, PRICKLE1, DAAM2, and MYC was lower in colon carcinoma compared to adenoma. Inverse correlation between expression and methylation was confirmed in 23 genes, including APC, CHP1, PRICKLE1, PSEN1, and SFRP1. Differential methylation affected both canonical and noncanonical WNT pathway genes in colorectal normal-adenoma-carcinoma sequence. Aberrant DNA methylation appears already in adenomas as an early event of colorectal carcinogenesis. © 2016 Taylor & Francis Group, LL

    Az idiopathiás nephrosis szindróma kialakulásának és progressziójának RNS-markerei

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    Approximately 90% of children with nephrotic syndrome have idiopathic nephrotic syndrome. Idiopathic nephrotic syndrome includes three histologic types: minimal change disease, mesangial proliferation and focal segmental glomerulosclerosis. These diseases have similar clinical presentation but different prognosis. The aim of this review is to summarize the genetic knowledge related to idiopathic nephrotic syndrome, follow the progression of these diseases and to offer a survey of the gene expression pattern changes and their functional classification. Different types of RNA expression analysis methods, such as the northern-blot assay, the ribonuclease protection assay, the RNA in situ hybridization, the quantitative RT-PCR and the RNA expression microarray technology are discussed. Previous studies emphasize the importance of the following gene groups in the idiopathic nephrotic syndrome: genes involved the DNA synthesis and repair, growth factors, extracellular matrix proteins, extracellular ligand receptors, extracellular signal transduction, metabolic and transport process and immune regulation are frequently dys-expressed in idiopathic nephrotic syndrome. With the development and spread of the microarray technology these genes can be used as a compliment to the conventional diagnostic method

    A DNS-metiláció szerepe és megváltozása az öregedés és a daganatos betegségek kialakulása során [Role and alterations of DNA methylation during the aging and cancer]

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    Besides the genetic research, increasing number of scientific studies focus on epigenetic phenomena - such as DNA methylation - regulating the expression of genes behind the phenotype, thus can be related to the pathomechanism of several diseases. In this review, we aim to summarize the current knowledge about the evolutionary appearance and functional diversity of DNA methylation as one of the epigenetic mechanisms and to demonstrate its role in aging and cancerous diseases. DNA methylation is also characteristic/also appear to prokaryotes, eukaryotes and viruses. In prokaryotes and viruses, it provides defence mechanisms against extragenous DNA. DNA methylation in prokaryotes plays a significant role in the regulation of transcription, the initiation of replication and in Dam-directed mismatch repair. In viruses, it participates not only in defence mechanisms, but in the assembly of capsids as well which is necessary for spreading. In eukaryotes, DNA methylation is involved in recombination, replication, X chromosome inactivation, transposon control, regulation of chromatin structure and transcription, and it also contributes to the imprinting phenomenon. Besides the above-mentioned aspects, DNA methylation also has an evolutionary role as it can change DNA mutation rate. Global hypomethylation appearing during aging and in cancerous diseases can lead to genetic instablility and spontaneous mutations through its role in the regulation of transposable elements. Local hypermethylated alterations such as hypermethylation of SFRP1, SFRP2, DKK1 and APC gene promoters can cause protein expression changes, thus contribute to development of cancer phenotype. DNA methylation alterations during aging in cancerous diseases support the importance of epigenetic research focusing on disease diagnostics and prognostics

    Vastagbél-adenoma, vastagbélrák és IBD-specifikus génexpressziós mintázatok meghatározása teljes genomszintű oligonukleotid microarray-rendszerrel

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    BACKGROUND: Discrimination and classification of colorectal diseases (adenoma, colorectal cancer, inflammatory bowel disease) using biopsy samples and expression microarrays, has not been solved yet, nevertheless, it can contribute to the understanding of the colonic diseases. METHODS: Total ribonucleic acid was extracted, amplified and biotinylated from frozen colonic biopsies of 15 patients with colorectal cancer, 15 with adenoma, 14 with inflammatory bowel disease and 8 normal controls. Genome-wide gene expression profile was evaluated by Human Genome U133 Plus 2.0 microarrays. Two independent methods were used for data normalization and "Prediction Analysis of Microarrays" was performed for feature selection. Leave one-out stepwise discriminant analysis was performed. The expression results were verified by real-time polymerase chain reaction. RESULTS: Top validated genes included CD44 antigen, met proto-oncogene, chemokine ligand-12, ADAM-like decysin-1 and ATP-binding casette-A8 genes in adenoma; collagen IValpha1, lipocalin-2, calumenin, aquaporin-8 genes in colorectal cancer; and lipocalin-2, ubiquitin D and interferon induced transmembrane protein 2 genes in inflammatory bowel disease. The discriminant analysis was able to classify the samples in overall 96.2% using 7 discriminatory genes. The expression of 94% of the 52 genes measured by Taqman real-time polymerase chain reaction correlated with the results obtained using Affymetrix microarrays at a significance of p < 0.05. CONCLUSIONS: We successfully performed whole genomic microarray analysis to identify discriminative signatures using routine biopsy samples. The results set up data warehouse which can be further mined

    Helicobacter pylori and antrum erosion-specific gene expression patterns: The discriminative role of CXCL13 and VCAM1 transcripts

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    BACKGROUND AND AIMS: Chronic Helicobacter pylori infection affects approximately half of the world, leads to chronic gastritis and peptic ulceration, and is linked to gastric carcinoma. Our aims were to compare the gene expression profile (GEP) of H. pylori-positive and H. pylori-negative gastric erosions and adjacent mucosa to explain the possible role and response to H. pylori infection and to get erosion-related mRNA expression patterns. METHODS: Total RNA was extracted, amplified, and biotinylated from gastric biopsies of patients with H. pylori-positive and H. pylori-negative antrum erosions (ER) (8/8) and adjacent macroscopically normal mucosae (8/8). The GEP was evaluated using HGU133plus2.0 microarrays. Two independent normalizations (MAS5.0, RMA), PAM feature selection, hierarchical cluster analysis, and discriminant analysis were done. The expression of 14 genes was also measured by real-time-polymerase chain reaction. VCAM-1 and CXCL13 immunohistochemistry (IHC) was done. RESULTS: In H. pylori infection, significant overexpression of MHC class II antigen-presenting genes, interleukin-7 receptor, ubiquitin-D, CXCR4, lactoferrin immune response-related genes, CXCL-2 and -13, CCL18 chemokine ligand, and VCAM-1 genes were established. In erosive gastritis, increased proliferation (MET) and transport (UCP2, SCFD1, KPNA4) were found, while genes associated with adhesion (SIGLEC11), transcription regulation (ESRRG), and electron and ion transport (ACADM, CLIC6) were down-regulated. Discriminant analysis successfully classified all samples into four groups (HP+ER-, HP+ER+, HP-ER+, HP-ER-) using a reduced gene set (20). Significant overexpression of VCAM-1 and CXC13 protein was detected by IHC in HP+ samples (p < .05). CONCLUSIONS: Whole genomic microarray analysis yielded new H. pylori infection and erosion-related gene expression changes. Discriminative genes can be used in mRNA-based diagnostic classification of gastric biopsies

    Polymorphisms of the ApoE, HSD3B1, IL-1 beta and p53 genes are associated with the development of early uremic complications in diabetic patients

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    Genetic polymorphisms of the genes involved in angiogenesis, the inflammatory cascade or apoptosis control can influence the chronic complications of diabetic patients. Parallel evaluation of multiple genetic polymorphisms became available with the development of DNA resequencing arrays. We aimed to develop a 16-gene, 18,859-nucleotide resequencing array to analyze the genetic background of uremic and gastrointestinal complications. DNA was isolated from 10 ml of peripheral blood of 41 non-uremic and 37 uremic patients with type II diabetes mellitus (DM); 32 suffering from gastric. p erosion complications. An Affymetrix Customseq Resequencing array was developed containing a total of 37 PCR products of selected genes. Confirmatory analysis was performed for 5 known polymorphisms by RFLP and for 4 others by capillary sequencing. Statistical analysis was performed using the Fishers exact test. Correlations between the DNA resequencing array and the confirmatory methods were 96% for RFLP and 99.4% for capillary sequencing. The genetic polymorphisms of the ApoE, HSD3B1, IL-1 beta and p53 genes were found to be significantly different (p<0.05) between the uremic and non-uremic diabetes group. In regards to the gastric erosion complications of the diabetic uremic patients, the A17708T polymorphism of the p53 intron 10 was found to have a statistically significant (p<0.05) role. In conclusion, DNA sequencing arrays can contribute to a multiparameter genetic analysis yielding highly correlating results using a single method in patients suffering type II DM
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