In post-genome period, the technique for identifying gene expression has been changed to high throughput screening. In the field of molecular nutrition, the need for this technique to clarify molecular function of the specific nutrient is essential. In this study, we have tested the zinc-regulated gene expression in zinc-deficient U937 cells, using cDNA microarray which is the cutting-edge technique to screen large numbers of gene expression simultaneously. The study result can be used for the preliminary gene screening data for clarifying, using monocyte U937 cell line, molecular Zn aspect in atherosclerosis. U937 cells were cultured in Zn-adequate (control, 12 $\mu$M Zn) or Zn-deficient (experimental, 0 $\mu$M Zn) ESMI media during 2 days, respectively. Cells were harvested and RNA was extracted. Total RNA was reverse-transcriptinized and synthesized cDNA probe labeled with Cy-3. fluorescent labeled cDNA probe was applied to microarray slide for hybridization slide, and after then, the slide was scanned using fluorescence scanner. ‘Highly expressed genes’ in Zn-deficient U937 cells, comparing to Zn-adequate group, are mainly about the genes for motility protein, immune system protein, oncogene and tumor suppressor and ‘Less highly expressed genes’ are about the genes for transcription, apoptosis associated protein, cell cycle, and several basic transcription factors. The results of this preliminary study imply the effectiveness of cDNA microarray for expression profiling of a singly nutrient deficiency, specially Zn. Furthur study, using tailored-cDNA array and capillary endothelial cell lines, would be beneficial to clarify molecular Zn function, more in detail.
Kim, Chang-Young;Noh, Jun-Hee;Lee, Han-Na;Kim, Eung-Soo
KSBB Journal
/
v.24
no.3
/
pp.259-266
/
2009
AfsR2 in Streptomyces lividans, a 63-amino acid protein with limited sequence homology to Streptomyces sigma factors, has been known for a global regulatory protein stimulating multiple antibiotic biosynthetic pathways. Although the detailed regulatory mechanism of AfsK-AfsR-AfsR2 system has been well characterized, very little information about the AfsR2-dependent down-stream regulatory genes were characterized. Recently, the null mutant of afsS in S. coelicolor (the identical ortholog of afsR2) has been characterized through DNA microarray system, revealing that afsS deletion regulated several genes involved in antibiotic biosynthesis as well as phosphate-starvation. Through comparative DNA microarray analysis of afsR2-overexpressed S. lividans, here we also identify several afsR2-dependent genes involved in phosphate starvation, morphological differentiation, and antibiotic regulation in S. lividans, confirming that the AfsR2 plays an important pleiotrophic regulatory role in Streptomyces species.
Periodontal ligament(PDL) cells have been known as playing an important roles in periodontal regeneration and gingival fibroblasts are also important to periodontal regeneration by forming connective tissue attachment. There were rare studies about the gene expression patterns of PDL cells and gingival fibroblasts, therefore in this study, we tried cDNA microarray-based gene expression monitoring to explain the functional differences of PDL cells and gingival fibroblasts in vivo and to confirm the characteristics of PDL cells. Total RNA were extracted from PDL cells and gingival fibroblasts of same person and same passages, and mRNA were isolated from the total RNA using Oligotex mRNA midi kit(Qiagen) and then fluorescent cDNA probe were prepared. And microarray hybridization were performed. The gene expression patterns of PDL cells and gingival fibroblasts were quite different. About 400 genes were expressed more highly in the PDL cells than gingival fibroblasts and about 300 genes were more highly expressed in the gingival fibroblasts than PDL cells. Compared growth factor- and growth factor receptor-related gene expression patterns of PDL cells with gingival fibroblasts, IGF-2, IGF-2 associated protein, nerve growth factor, placental bone morphogenic protein, neuron-specific growth- associated protein, FGF receptor, EGF receptor-related gene and PDGF receptor were more highly expressed in the PDL cells than gingival fibroblasts. The results of collagen gene expression patterns showed that collagen type I, type III, type VI and type VII were more highly expressed in the PDL cells than gingival fibroblasts, and in the gingival fibroblasts collagen type V, XII were more highly expressed than PDL cells. The results of osteoblast-related gene expression patterns showed that osteoblast specific cysteine-rich protein were more highly expressed in the PDL cells than gingival fibroblasts. The results of cytoskeletal proteins gene expression patterns showed that a-smooth muscle actin, actin binding protein, smooth muscle myosin heavy chain homolog and myosin light chain were more highly expressed in the PDL cells than gingival fibrobalsts, and ${\beta}-actin$, actin-capping protein(${\beta}$ subunit), actin- related protein Arp3(ARP) and myosin class I(myh-1c) were more highly expressed in the gingival fibroblasts than PDL cells. Osteoprotegerin/osteoclastogenesis inhibitory factor(OPG/OCIF) was more highly expressed in the PDL cells than gingival fibroblasts. According to the results of this study, PDL cells and gingival fibroblasts were quite different gene expression patterns though they are the fibroblast which have similar shape. Therefore PDL cells & gingival fibroblasts are heterogeneous populations which represent distinct characteristics. If more studies about genes that were differently expressed in each PDL cells & gingival fibroblasts would be performed in the future, it would be expected that the characteristics of PDL cells would be more clear.
Background: Chromosomal translocations are genetic aberrations associated with specific non-Hodgkin lymphoma (NHL) subtypes. This study investigated the differential gene expression profile of Egyptian NHL cases based on a microarray approach. Materials and Methods: The study included tissue samples from 40 NHL patients and 20 normal lymph nodes used as controls. Total RNA was extracted and used for cDNA microarray assays. The quantitative real time polymerase chain reaction was used to identify the aberrantly expressed genes in cancer. Results: Significant associations of 8 up-regulated and 4 down-regulated genes with NHL were observed. Aberrant expression of a new group of genes not reported previously was apparent, including down-regulated NAG14 protein, 3 beta hydroxy-delta 5-c27 steroid oxi-reductase, oxi-glutarate dehydrogenase (lipo-amide), immunoglobulin lambda like polypeptide 3, protein kinase x linked, Hmt1, and caveolin 2 Tetra protein. The up-regulated genes were Rb binding protein 5, DKFZP586J1624 protein, protein kinase inhibitor gamma, zinc finger protein 3, choline ethanolamine phospho-transferase CEPT1, protein phosphatase, and histone deacetylase-3. Conclusions: This study revealed that new differentially expressed genes that may be markers for NHL patients and individuals who are at high risk for cancer development.
Microarray technology is an interdisciplinary technique that promises a revolutionary progress toward better health and improved quality of life. The paper focuses on the development of an efficient software package, equipped with already well-known methods; also some new methods are proposed that will allow the processing and analysis of thousands of genes on microarray images. The microarray analysis software package (called SmartArray), newly proposed in this paper verifies, through microarray analysis, dramatic changes in the mRNA, protein, and activity level in the rat retina during light deprivation, which have been demonstrated in previous biological experiments. The analysis results demonstrate that SmartArray can successfully find many changes in gene expression levels in each subarray and classify them according to their significance.
Objective: Pathogenesis of the endometriosis is very complex and the etiology is still unclear. Our hypothesis is that there may be some difference in gene expression patterns between eutopic endometriums with or without endometriosis. In this study, we analyzed the difference of gene expression profile with cDNA microarray. Methods: Endometrial tissues were gathered from patients with endometriosis or other benign gynecologic diseases. cDNA microarray technique was applied to screen the different gene expression profiles from early and late secretory phase endometria of those two groups. Each three mRNA samples isolated from early and late secretory phase of endometrial tissues of control were pooled and used as master controls and labeled with Cy3-dUTP. Then the differences of gene expression pattern were screened by comparing eutopic endometria with endometriosis, which were labeled with Cy5-dUTP. Fluorescent labeled probes were hybridized on a microarray of 4,800 human genes. Results: Twelve genes were consistently over-expressed in the endometrium of endometriosis such as ATP synthase H transporting F1 (ATP5B), eukaryotic translation elongation factor 1, isocitrate dehydrogenase 1 (NADP+), mitochondrial ribosomal protein L3, ATP synthase H+ transporting (ATP5C1) and TNF alpha factor. Eleven genes were consistently down-regulated in the endometriosis samples. Many extracellular matrix protein genes (decorin, lumican, EGF-containing fibulin-like extracellular matrix protein 1, fibulin 5, and matrix Gla protein) and protease/protease inhibitors (serine proteinase inhibitor, matrix metalloproteinase 2, tissue inhibitor of metalloproteinase 1), and insulin like growth factor II associated protein were included. Expression patterns of selected eight genes from the cDNA microarray were confirmed by quantitative RT-PCR or real time RT-PCR. Conclusion: The result of this analysis supports the hypothesis that the endometrium from patients with endometriosis has distinct gene expression profile from control endometrium without endometriosis.
To compare RNA interference-mediated gene silencing technique and T-DNA integration for gene function analysis in Chinese cabbage, BrSAMS-knockout (KO) line and BrSAMS-knockdown (KD) line were used. The KO line had lost the function of a Brassica rapa S-adenosylmethionine synthetase (BrSAMS) gene by T-DNA insertion and the KD line had shown down-regulated BrSAMS genes' expression by dsRNA cleavage. From microarray results of the KO and KD lines, genes linked to SAMS such as sterol, sucrose, homogalacturonan biosynthesis and glutaredoxin-related protein, serine/threonine protein kinase, and gibberellin-responsive protein showed distinct differences in their expression levels. Even though one BrSAMS gene in the KO line was broken by T-DNA insertion, gene expression pattern of that line did not show remarkable differences compared to wild type control. However, the KD line obtained by RNAi technique showed prominent difference in its gene expression. Besides, change of polyamine and ethylene synthesis genes directly associated with BrSAMS was displayed much more in the KD line. In the microarray analysis of the KO line, BrSAMS function could not be clearly defined because of BrSAMS redundancy due to the genome triplication events in Brassicaceae. In conclusion, we supposed that gene knock-down method by RNAi silencing is more effective than knock-out method by T-DNA insertion for gene function analysis of polyploidy crops such as Chinese cabbage.
Proceedings of the Korean Society of Toxicology Conference
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2000.11a
/
pp.31-41
/
2000
The major issue in the post genome sequencing era is determination of gene expression patterns in variety of biological systems. A microarray system is a powerful technology for analyzing the expression profile of thousands of genes at one experiment. In this study, we constructed cDNA microarray which carries 2,304 cDNAS derived from oligo-capped mouse cDNA library. Using this hand-made microarray we determined gene expression in various biological systems. To determine tissue specific genes, we compared Nine genes were highly-expressed in adult mouse brain compared to kidney, liver, and skeletal muscle. Tissue distribution analysis using DNA microarray extracted 9 genes that were predominantly expressed in the brain. A database search showed that five of the 9 genes, MBP, SC1, HiAT3, S100 protein-beta, and SNAP25, were previously known to be expressed at high level in the brain and in the nervous system. One gene was highly sequence similar to rat S-Rex-s/human NSP-C, suggesting that the gene is a mouse homologue. The remaining three genes did not match to known genes in the GenBank/EMBL database, indicating that these are novel genes highly-expressed in the brain. Our DNA microarray was also used to detect differentiation specific genes, hormone dependent genes, and transcription-factor-induced genes. We conclude that DNA microarray is an excellent tool for identifying differentially expressed genes.
Park, Keon-Uk;Hwang, Mi-Sun;Suh, Seong-Il;Suh, Min-Ho;Kwon, Taeg-Kyu;Park, Jong-Wook;Cho, Jae-We;Choi, Eun-Ju;Baek, Won-Ki
The Journal of the Korean Society for Microbiology
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v.35
no.4
/
pp.299-308
/
2000
Recently developed cDNA microarray or DNA chip technology allows expression monitoring of expression of hundreds and thousands of genes simultaneously and provides a format for identifying genes as well as changes in their activity. In order to search for changes in gene expression after X irradiation in HL60 cells, cDNA microarray technique was done. In this study, expression of 588 human genes (including oncogenes, tumor suppressor genes, cell cycle regulator genes, intracellular signal transduction modulator genes, apoptosis related genes, transcription factor genes, growth factors and receptor genes, cytokine genes, etc) were analyzed. For cDNA microarray analysis mRNAs were extracted from control and 8 Gy-irradiated HL60 cells. As a result the changes in expression of several genes were observed. This alteration of gene expression was confirmed by reverse transcription-polymerase chain reaction. The expression of heat shock 60 KD protein, c-jun, erythroid differentiation factor, CPP32, myeloid cell nuclear differentiation antigen, MAP kinase-activated protein kinase, interleukin-8, monocyte chemotactic peptide 1 and RANTES genes was increased, but the expression of p55CDC gene was decreased after X irradiation.
Objectives : It has long been known about the anticancer effect of GRR-HAS, however, it has not been systemically determined the differentially regulated genes by GRR-HAS in cancer cells. The purpose of this study is to screen the GRR-HAS mediated differentially expressed genes in cancer cells such as HepG2 hepatoma cell lines. Oligonucleotide microarray and proteomic approaches were employed to screen the differential expression genes. Methods : GRR~HAS was prepared by boiling and stored at $-70^{\circ}C$ until use. Cells were treated with various concentrations of GRR-HAS (0.1, 0.5, 1.5, 10, $20mg/m{\ell}$) for 24 h. Cell toxicity was tested by MTT assay. To screen the differentially expressed genes in cancer cells, cells were treated with $1.5mg/m{\ell}$ of GRR-HAS. For oligonucleotide microarray assay, total RNA was used for gene expression analysis using oligonucleotide genechip (Human genome Ul33 Plus 2.0., Affimatrix Co.). For proteomic analysis, total protein was analyzed by 2D gel electrophoresis and Q-TOF mass spectrometer. Results : It has no cytotoxic effects on both HepG2 cells in all concentrations(0.1, 0.5, 1.5, 10,$20mg/m{\ell}$). In oligonucleotide microarray assay, the number of more than twofold differentially regulated known genes was 320 with 6 up-regulated and 314 down-regulated genes in HepG2 cells. In proteomic analysis, three spots were identified by 2D-gel electrophoresis and Q-TOF analysis. One down -regulated protein was protein disulfide isomerase and up-regulated proteins were fatty acid binding protein 1 and 14-3-3 gan1lTIa protein by $1.5mg/m{\ell}$ of CRR-HAS. Discussion : This study showed the comprehensive gene expression analysis using oligonucleotide microarray for the screening of GRR-HAS mediated differentially regulated genes. These results will provide a better application of GRR-HAS in cancer field and drug target development.
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