Project description:Microarray experiments were performed to identify genes that were differentially expressed between node positive and negative cervical tumors
Project description:CpG DNA interacts with TLR9 to stimulate a broadly protective innate immune response. This study uses bioinformatic network analysis of microarray data to identify the genes and regulatory networks triggered by CpG ODN. CpG treatment induced significant gene up-regulation (p < 0.00001) in the spleen within 30 min, peaking with the activation of >500 genes at 3 hr, and declining progressively thereafter. There were reproducible changes in the pattern of gene expression over time. This was mediated by a small group of “major inducers” (IL1A, IL1B, TNF, IFNG) whose activity was modulated by several “minor inducers” (NFKB1, IL6, IL15, IL18, STAT1, STAT2). The subsequent decline in gene activation was mediated by “suppressors” (MYC, IL1RN, SOCS1, SOCS3, NFKBIA, IL10, FOS) that actively down-regulated gene expression and targeted both major and minor inducers. Thus, the regulation of TLR9 dependent gene activation involves multiple waves of stimulation mediated by a small number of “major” and “minor” inducers followed by the active inhibition of gene expression by “suppressors”. Keywords: time series design Endotoxin-free phosphorothioate ODN were synthesized at the CBER core facility (FDA, Bethesda, MD) as previously described. Mice were injected intraperitoneal (i.p.) with 400 ìg of an equimolar mixture of CpG ODNs 1555 (GCTAGACGTTAGCGT) and 1466 (TCAACGTTGA) or control ODNs 1612 (GCTAGATGTTAGCGT) and 1471 (TCAAGCTTGA). Spleens were surgically removed from mice under sterile conditions after 0.5, 1, 3, 9, 24 hr, and/or 72 hr, diced, and stored at -800 C in RNAlater (Qiagen, Valencia, CA). Data from 4 independent experiments/time point and 4-6 untreated controls were used for all statistical analyses. Reproducibility was established by comparing gene expression profiles among similarly treated mice from independent experiments in mAdb (referenced above). Expression analyses were performed using BRB ArrayTools (Biometric Research Branch, NCI). Data were background corrected, flagged values were removed, spots in which both signals were <100 were filtered out, ratios were log base 2 transformed and lowess intensity dependent normalization was used to adjust for differences in labeling intensities of the Cy3 and Cy5 dyes (Yang et al., 2002). Analysis was restricted to genes present on >70% of the arrays after filtering. The gene expression profile of all treatment groups was compared to that of the control groups.
Project description:CpG DNA binds to Toll-like receptor 9 to stimulate a strong innate immune response. Despite extensive studies of TLR9 mediated signal transduction, the scope of CpG-induced changes in gene expression is incompletely understood. In particular, the prolonged effects of CpG ODN (oligodeoxynucleotide) on gene activation have not been investigated despite evidence that a single dose of CpG ODN alters immune reactivity for several weeks. This study used gene expression analysis to monitor changes in mRNA levels for 14 days, and identified the genes, pathways, functional groups and regulatory networks triggered in vivo following CpG ODN administration. Two discrete peaks of gene activation (at 3 hr and 5 days) were observed after CpG administration. Both the regulation and function of genes activated during the second peak differed from those triggered shortly after CpG administration. Initial gene up-regulation corresponded to a period when TLR9 ligation stimulated genes functionally associated with the generation of innate and adaptive immune responses (e.g. the NF-kB and B-cell receptor pathways). The second peak reflected processes associated with cell division (e.g., cell cycle and DNA replication & repair). Whereas TNF and IFNG played central roles regulating the first peak of activation, E2F1, E2F2, BRCA1, and HRAS had major impact on the networks controlling the second peak. The complex bimodal pattern of gene expression elicited by CpG ODN administration provides novel insights into the long term effects of CpG DNA on genes associated with immunity and cell proliferation. Data from 4 independent biological replicates/time point (9 time points) and 6 untreated controls were used for all statistical analyses. A reference design was used. Reference cDNA vs. sample cDNA were hybridized to same array.
Project description:To characterize patterns of global transcriptional deregulation in primary colon carcinomas, we did gene expression profiling of 73 tumors [Unio Internationale Contra Cancrum stage II (n = 33) and stage III (n = 40)] using oligonucleotide microarrays. For 30 of the tumors, expression profiles were compared with those from matched normal mucosa samples. We identified a set of 1,950 genes with highly significant deregulation between tumors and mucosa samples (P < 1e-7). A significant proportion of these genes mapped to chromosome 20 (P = 0.01). Seventeen genes had a >5-fold average expression difference between normal colon mucosa and carcinomas, including up-regulation of MYC and of HMGA1, a putative oncogene. Furthermore, we identified 68 genes that were significantly differentially expressed between lymph node-negative and lymph node-positive tumors (P < 0.001), the functional annotation of which revealed a preponderance of genes that play a role in cellular immune response and surveillance. The microarray-derived gene expression levels of 20 deregulated genes were validated using quantitative real-time reverse transcription-PCR in >40 tumor and normal mucosa samples with good concor- dance between the techniques. Finally, we established a relationship between specific genomic imbalances, which were mapped for 32 of the analyzed colon tumors by comparative genomic hybridization, and alterations of global transcriptional activity. Previously, we had conducted a similar analysis of primary rectal carcinomas. The systematic comparison of colon and rectal carcinomas revealed a signif- icant overlap of genomic imbalances and transcriptional deregulation, including activation of the Wnt/B-catenin signaling cascade, suggesting similar pathogenic pathways. [Cancer Res 2007;67(1):41-56] Samples of tumor and/or mucosa from a total of 65 colon cancer patients, i.e. 103 arrays
Project description:Transcriptional analysis of 49 primary medullary thyroid carcinoma tumors. Comparisons MTCM918T vs MTC634 and MTCM918T vs MTCWT. 49 (52 hybridized tumors with 3 replicates) primary Medullary Thyroid Carcinoma (MTC) cases were hybridized onto a cDNA microarray in order to identify the unique markers for specific genetic classes of MTC.
Project description:The liver may regulate glucose homeostasis by modulating the sensitivity/resistance of peripheral tissues to insulin, by way of the production of secreted proteins, termed hepatokines. To identify hepatic secretory proteins involved in insulin resistance, we performed liver biopsies in humans with or without type 2 diabetes and conducted a comprehensive analysis of gene expression profiles. Samples for analysis were obtained from ten patients with type 2 diabetes and 7 subjects with normal glucose tolerance, who were admitted to Kanazawa University Hospital. Hepatic tissues were obtained with percutaneous needle liver biopsy, and immediately frozen in liquid nitrogen and stored at −80°C until use. This dataset is part of the TransQST collection.
Project description:Immunostimulatory CpG ODN trigger an innate immune response characterized by the rapid production of pro-inflammatory cytokines and chemokines, an effect that persists for days to weeks in vivo. Previous studies established that gene up-regulation is maximal 3 hr after CpG ODN treatment of normal mice {Klaschik et al. JLB 2009}. The immunostimulatory activity of CpG ODN is blocked by the addition of immunosuppressive ODN expressing multiple TTAGGG motifs. To clarify the mechanism underlying this suppression, changes in gene expresssion were evaluated by microarray in mice treated with 400 ìg of CpG ODN + 400 ìg of suppressive ODN. Data from 4 independent biological replicates/time point and treatment group and 6 untreated controls were used for all statistical analyses. A reference design was used. Reference cDNA vs. sample cDNA were hybridized to same array.
Project description:Gene expression profiling in non tumor lesion in the liver of patients prior to administering peretinoin was unrelated to the clinical outcome, however, gene expression profiling 8 weeks after starting peretinoin therapy significantly predicted the recurrence of HCC Peretinoin, a member of the acyclic retinoid family, is expected to be an effective chemo preventive drug for HCC.The patients had undergone curative surgical resection or radiofrequency ablation (RFA). They received 300 mg/day or 600 mg/day of peretinoin for 8 weeks and were followed up for 88 weeks with 600 mg/day of peretinoin. Hepatic gene expression profiling obtained from non tumor lesion of these patients prior to administering peretinoin and 8 weeks after starting peretinoin treatment
Project description:Gene expression profiling of hepatocellular carcinoma (HCC) and background liver has been studied extensively; however, the relationship between the gene expression profiles of different lesions has not been assessed. We examined the expression profiles of 34 HCC specimens (17 hepatitis B virus [HBV]-related and 17 hepatitis C virus [HCV]-related) and 71 non-tumor liver specimens (36 chronic hepatitis B [CH-B] and 35 chronic hepatitis C [CH-C]) using an in-house cDNA microarray consisting of liver-predominant genes. Graphical Gaussian modeling (GGM) was applied to elucidate the interactions of gene clusters among the HCC and non-tumor lesions. Gene expression profiling of HCC and non-tumor lesions revealed the predisposing changes of gene expression in HCC. This approach has potential for the early diagnosis and possible prevention of HCC. We examined the expression profiles of 34 HCC specimens (17 hepatitis B virus [HBV]-related and 17 hepatitis C virus [HCV]-related) and 71 non-tumor liver specimens (36 chronic hepatitis B [CH-B] and 35 chronic hepatitis C [CH-C]) using an in-house cDNA microarray consisting of liver-predominant genes. Graphical Gaussian modeling (GGM) was applied to elucidate the interactions of gene clusters among the HCC and non-tumor lesions.