MiRNA expression profile in subcutaneous adipose tissue from morbid obese patients
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Lucia Sacchetti
PROVIDER: E-GEOD-12726 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Ciguatoxins (CTX) are polyether neurotoxins responsible for ciguatera, the most common fish-borne food poisoning in humans. This study characterizes the global transcriptional response of mouse liver to a symptomatic dose (0.26 ng/g) of the highly potent Pacific ciguatoxin-1 (P-CTX-1). At 1 h post exposure 2.4% of features on a 44K whole genome array were differentially expressed (p � 0.0001), increasing to 5.2% at 4 h and decreasing to 1.4% by 24 h post-CTX exposure. Early gene expression was likely influenced prominently by an acute 4 °C decline in core body temperature by 1 h, which resolved by 8 h following exposure. Cytochrome P450s were of particular interest due to their role in xenobiotic metabolism. Twenty-seven genes, mostly members of Cyp2 and Cyp4 families, showed significant changes in expression. Many Cyps underwent an initial down-regulation at 1 h but were quickly and strongly up-regulated at 4 and 24 h post exposure. In addition to Cyps, increases in several glutathione S-transferases were observed, an indication that both phase I and phase II metabolic reactions are involved in the hepatic response to CTX in mice. Experiment Overall Design: Individual C57/BL6 mice (n=3) exposed to 0.26 ng/g P-CTX-1 ip for 1, 4, or 24 h were compared to pooled time-matched controls (n=3). The triplicate arrays at each time point included a dye swap.
2008-06-20 | E-GEOD-10768 | biostudies-arrayexpress
Project description:The innate immune response against Helicobacter pylori is mainly controlled by pattern recognition receptors that lead to the up-regulation of pro-inflammatory cytokines. A new player in this field is the miR-155 being regulated by TLR ligands in monocytic derived cells influencing certain intracellular pathways by down-regulating targets involved in signaling and development. By using primary bone marrow derived macrophages (BMMs) from mice deficient in the key TLR signals the regulation of miR-155 was explored. Further on the biological impact of a lack of miR-155 in BMMs was analyzed by micro-array studies and apoptosis assays. We observed that miR-155 is up-regulated in response to H. pylori via TLR2 and TLR4 in a NF-M-NM-:B dependent manner, but also identified a TLR2/TLR4 independent mechanism that was strongly connected to a functional TypeIV secretion system. Down-stream the high expression of miR-155 down-regulated many mRNA targets during H. pylori infection. Thereby we could validate Tspan14, Lpin1, and Pmaip1 as new targets of miR-155 and identified their binding site. These and other already published targets showed a substantial pro-apoptotic potential. We observed that H. pylori infected wild type BMMs were much more resistant to DNA damage induced apoptosis by cisplatin when compared to their respective miR-155-/- BMMs. Our data strongly suggests that there is an additional innate immune mechanism of BMMs leading to the upregulation of the anti-apoptotic miR-155 that causes resistance to DNA damage in BMMs. Microarray experiments were performed as dual-color hybridizations. To compensate for dye-specific effects, an independent dye-reversal color-swap was applied. Bone marrow derived macrophages were 'in vitro' infected with H.pylori P12 and the expression changes were measured.
2012-04-02 | E-GEOD-29388 | biostudies-arrayexpress
Project description:Hfq is an RNA chaperone, which functions as a pleiotropic regulator for RNA metabolism in bacteria. To characterize the role of Hfq in pathogenicity of Neisseria gonorrhoeae we generated a N. gonorrhoeae hfq mutant, MS11hfq.Transcriptional analysis using a custom-made N. gonorrhoeae microarray revealed that 369 open reading frames were differentially regulated in MS11hfq compared to the wild-type (wt) strain (202 were upregulated, 167 were downregulated). Arrays were generated as custom 8x15 K microarrays (Agilent Technologies) covering all open reading frames (ORFs) from N. gonorrhoeae strain FA1090 (accession number AE004969) supplemented with all ORFs from the gonoccoccal genetic island of strain MS11 (accession number AY803022) by 6 specific 60-mer oligonucleotides per gene on average. Microarray analysis was performed as dual-color hybridization with dye-reversal color-swaps as technical replicates for Cy-dye specific effect compensation and three independent biological replicates. Microarray features were extracted with the FE 9.5.3.1 software from Agilent Technologies using the GE2-v4_95_Feb07 protocol with default settings. Data were loaded into Resolver (Rosetta Biosoftware) using the MAGE-ML loader and analyzed for differential gene expression. Ratio profiles were combined into ratio experiments and regulated genes were identified with a threshold of 1.75 fold-change and anti-correlation of the color-swapped dye reversals, rendering the analysis highly stringent and robust with P values <0.0001 of the results.
2010-06-23 | E-GEOD-16046 | biostudies-arrayexpress
Project description:The cellular microRNA, miR-155 has been shown to be involved in lymphocyte activation and is expressed in EBV infected cells displaying type III latency gene expression but not type I latency gene expression. We show here that the elevated levels of miR-155 in type III latency cells is due to EBV gene expression and not epigenetic differences in cell lines tested and we show that expression in EBV infected cells requires a conserved AP-1 element in the miR-155 promoter. Gene expression analysis was carried out in a type I latency cell line transduced with a miR-155 expressing retrovirus. This analysis identified both miR-155 suppressed and induced cellular mRNAs and suggested that in addition to direct targeting of 3’ UTRs, miR-155 alters gene expression in part through the alteration of signal transduction pathways. 3’ UTR reporter analysis of predicted miR-155 target genes identified the transcriptional regulatory genes, BACH1, ZIC3, HIVEP2, CEBPB, ZNF652, ARID2, and SMAD5 as miR-155 targets. Western blot analysis of the most highly suppressed of these, BACH1, showed lower expression in cells transduced with a miR-155 retrovirus. Inspection of the promoters from genes regulated in EBV infected cells and in cells infected with a miR-155 retrovirus identified potential binding sequences for BACH1 and ZIC3. Together, these experiments suggest that the induction of miR-155 by EBV contributes to EBV mediated signaling in part through the modulation of transcriptional regulatory factors. Keywords: Differential expression of miR-155 vs cntl expressing cells The EBV positive Burkitt's lymphoma cell line, Akata was infected with a control (pEhyg-miRCntl) or a microRNA-155 expressing (pEhyg-miR-155) retrovirus. Duplicate infections with the control retrovirus and with the miR-155 retrovirus were carried out. Control and miR-155 infection pair 1 were run on an array as well as a dye swap. Control and miR-155 infection pair 2 were similarly run on an array as well as a second array containing a dye swap.
2008-03-17 | E-GEOD-10864 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the following subset Series: GSE14861: Small_fish_comp_tox_ZF_haloperidol_96_h_ovary GSE15115: Small_fish_comp_tox_FHM_haloperidol_96_h_ovary Refer to individual Series
2010-05-17 | E-GEOD-15216 | biostudies-arrayexpress
Project description:The most widely-used method for detecting and measuring genome-wide protein-DNA interactions is chromatin immunoprecipitation on tiling microarrays, commonly known as ChIP-chip. Many tiling array platforms, amplification methods, and analysis algorithms exist for ChIP-chip, but a rigorous assessment of the relative performance of these factors has not been reported. In a multi-lab simulation of a ChIP-chip experiment, we conducted the first objective analysis of tiling array platforms and analysis algorithms. We designed a complex mixture of human genomic DNA with a "spike-in" comprised of nearly 100 human sequences at various concentrations. Eight independent groups hybridized these mixtures to four different tiling array platforms. The groups were blind to the composition of the spike-in mix, the range of concentrations covered, or how many sequences it contained. Still blind to the key, each group made predictions of the spike-in locations based on their measurements. The results reveal that all commercial tiling array platforms perform well, although each platform and analysis algorithm has distinct performance characteristics. Simple sequence repeats and genome redundancy tend to result in false positives on oligonucleotide platforms. We also compare genome-wide platforms with regard to performance and cost. The spike-in DNA samples and the resulting array data presented in our study provide a stable benchmark against which future ChIP platforms, protocol improvements, and analysis methods can be evaluated. Keywords: Spike in Control For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf With the availability of sequenced genomes and whole-genome tiling microarrays, many researchers have conducted experiments using ChIP-chip and related methods to study genome-wide protein-DNA interactions1-9. These are powerful yet challenging techniques, which are comprised of many steps that can introduce variability in the final results. One potentially important factor is the relative performance of different types of tiling arrays. Currently the most popular platforms for performing ChIP-chip experiments are PCR-product based tiling arrays spotted in academic laboratories and commercial oligonucleotide-based tiling arrays from Affymetrix, NimbleGen, and Agilent. A second factor known to introduce variation is the DNA amplification protocol, which is often required because the low DNA yield from a ChIP experiment prevents direct detection on microarrays. A third factor is the algorithm used for detecting regions of enrichment from the tiling array data. A number of algorithms have been developed, but until this report there was no benchmark dataset to systematically evaluate them. In this study, we used a spike-in experiment to systematically evaluate the effects of tiling microarrays, amplification protocols, and data analysis algorithms on ChIP-chip results. There are other potentially important factors that from a practical standpoint are more difficult to systematically control and evaluate, and are not assessed here. These include the experimenter, the amount of starting material used, size of DNA fragments after shearing, DNA labeling method, and hybridization conditions. There have been several studies evaluating the performance of gene expression microarrays and analysis algorithms10-13. However, because tiling arrays must cover large genomic regions, they have different probe properties and high probe densities, and therefore present different biochemical and informatics challenges. Thus the results from the expression array spike-in experiments are not necessarily directly relevant to tiling array experiments. One recent study compared the performance of array-based (ChIP-chip) and sequence-based (ChIP-PET) technologies on a real ChIP experiment14. However, because this was an exploratory experiment, the list of absolute “true positive” targets was and is unknown. Since this experiment was performed without a key, the sensitivity and specificity of each technology had to be estimated retrospectively by qPCR validation of targets predicted from each platform. In our experiment, eight independent research groups at locations worldwide hybridized two different mixtures of DNA to one of four tiling array platforms, and predicted genome location and concentration of the spike-in sequences using a total of 13 different algorithms. Throughout the process, the research groups were entirely blind to the contents of the spike-in mixtures. Using the spike-in key, we analyzed several performance parameters for each platform, algorithm, and amplification method. While all commercial platforms performed well, we found that each had unique performance characteristics. We examined the implications of these results in planning human genome-wide experiments, in which trade-offs between probe density and cost are important.
2008-01-31 | E-GEOD-9842 | biostudies-arrayexpress
Project description:Chlamydia trachomatis is the causative agent of sexually transmitted disease with the highest prevalence in the world today. Although, sensitive to antibiotic treatment, Ctr is also a major cause of infertility due to significant cell damage caused to the genital tract of affected women. Occlusion of Fallopian tubes is a frequent consequence of advanced ascending Ctr infection. So far the mechanisms of Ctr caused pathogensis are widely unclear. Here we show, by using an ex vivo infection model of human Fallopian tubes that Ctr causes changes in epithelial homeostasis within 2 days of inoculation, by disrupting cell adhesion and increasing cell proliferation. We demonstrate by imaging and expression analysis that tissue response to invading pathogen has also a paracrine component. We identify Wnt signalling activation as one of the hallmarks of Ctr infection which transmits effects of the infection beyond inclusion containing cells. Mechanisms of phenotypic changes involve up regulation of Epcam and Olfactomedin 4, biomarkers and regulators of cell adhesion and cell differentiation. Our findings bring focus to the pleiotropic effects of Ctr infection within epithelium and could be provide the basis for better understanding the pathological sequels in vivo. Microarray experiments were performed as dual-color hybridizations. To compensate for dye-specific effects, an independent dye-reversal color-swap was applied. Quality control and quantification of total RNA amount was assessed using an Agilent 2100 bioanalyzer (Agilent Technologies) and a NanoDrop 1000 spectrophotometer (Kisker).
2011-11-21 | E-GEOD-26692 | biostudies-arrayexpress
Project description:This experiment was conducted as part of an overall study aimed at examining effects of a dopamine receptor antagonist on reproduction, behavior, and gene expression in cyprinid fish. Relative to gene expression, we hypothesized that if haloperidol disrupted normal regulation of the HPG axis, there may be robust transcriptional alterations in the ovary of exposed females that might serve as useful markers of exposure and/or effects. For the purposes of this study, robust transcriptional alterations were defined as those detected in two separate fish species (fathead minnow and zebrafish), exposed to the same concentration of haloperidol for the same duration. There is a companion zebrafish microarray experiment (GSE14861) that these data are compared to. Transcriptional responses in the ovary of the two species are compared in terms of differentially expressed genes, enriched gene ontology categories they represent, and associated pathways. Fathead minnow and zebrafish microarray experiment Samples for microarray analysis were generated in a separate, 96 h, continuous flow-through experiment. Nominal treatment concentrations for the microarray experiment were 0 and 50 μg haloperidol/L. Chemical (or control water) delivery was initiated 24 h prior to adding fish to the tanks. To start the experiment, fathead minnows (4 males, 4 females per tank) were added to each of three tanks per treatment group, while zebrafish (6 males, 6 females per tank) were added to each of two tanks per group. The time of fish addition was staggered by replicate within each treatment such that all samples from a given exposure tank could be collected within 60 min of the intended 96 h exposure duration. After 96 h, male and female zebrafish and female fathead minnows were anesthetized in buffered MS-222 and weighed. Whole gonads were removed, weighed, and preserved in RNAlater. Total RNA was isolated from fathead minnow ovary samples using RNeasy kits (Qiagen). RNA quality was assessed with a Agilent 2100 Bioanalyzer and quantity was determined using a Nanodrop ND-1000 spectrophotometer (Nanodrop Technologies, Wilmington, DE, USA). Aliquots of six fathead minnow ovary RNA samples per treatment group (two from each replicate per treatment) were prepared for microarray analysis.
2010-05-16 | E-GEOD-15115 | biostudies-arrayexpress
Project description:The control of amino acid synthesis and transport in bacteria has been well-investigated at the transcriptional level. The discovery of a small Hfq-dependent regulatory RNA, GcvB, added another layer of gene expression control at the post-transcriptional level. GcvB RNA has been shown to directly regulate multiple ABC transporters for amino acids in E. coli and Salmonella using a highly conserved G/U-rich domain, R1. To identify additional GcvB targets, we have combined a sRNA pulse-expression and microarray analysis of whole transcriptome changes with biocomputational target searches for C/A- rich target sites in Salmonella. Moreover, we have included GcvB mutant RNAs in our microarray approach providing a new target search approach by inactivating conserved domains or target interaction sites. This dual approach revealed further amino acid transporters and, in addition, genes involved in amino acid metabolism as consensus R1-dependent GcvB targets. Moreover, GcvB RNA seems to bind with at least two binding sites to an R1-independent target, the glycine transporter cycA. Using GFP reporter gene fusions we have now validated 21 GcvB targets which is best to our knowledge with ~1% of all Salmonella protein coding genes, the largest bacterial sRNA-controlled regulon. Intriguingly, GcvB rewires many primary control circuits and, thus, constitutes an important metabolic knot. To predict direct GcvB targets with better confidence, we expanded the sRNA pulse-expression approach to assay effects of several versions of GcvB sRNA. We cloned GcvB wild-type and mutants RNAs deleted for the conserved regions R1 or R2 (Fig. 1A) under control of an arabinose-inducible PBAD promoter, yielding plasmid pBAD-GcvB (pKP1-1), pBAD-GcvB delta R1 (pKP2-6) and pBAD-GcvB delta R2 (pKP30-1). For confirmation of inducible expression, Salmonella wild-type carrying pBAD control vector (pKP8-35), and Salmonella ΔgcvB carrying either control vector (Ctr) or the above GcvB expression plasmids were grown to mid-exponential phase (OD600 of 1) and treated with L-arabinose for up to 15 min. We used whole-genome S. typhimurium microarrays to determine relative mRNA expression changes at 10 min of induction, comparing the mRNA profiles of the pBAD-GcvB, pBAD-GcvB delta R1 or pBAD-GcvB delta R2 strains to that of the delta gcvB deletion mutant strain carrying the control vector. Microarrays used in this study were produced by in-situ synthesis as 8x15k multipack format from Agilent Technologies. Each microarray comprises 13268 60-mer S. typhimurium strain SL1344 specific oligonucleotides supplemented with 319 60-mer S. enterica subsp. serovar Typhimurium 14028S specific oligonucleotides, 360 60-mer S. typhimurium LT2 specific oligonucleotides and 360 60-mer oligonucleotides specific for 149 Salmonella sRNAs. The experimental design involves the use of Salmonella enterica serovar Typhimurium genomic DNA as the co-hybridized control for one channel on all microarrays. Two independent biological eperiments were analyzed.
2011-07-01 | E-GEOD-26573 | biostudies-arrayexpress
Project description:The most widely used method for detecting genome-wide protein-DNA interactions is chromatin immunoprecipitation on tiling microarrays, commonly known as ChIP-chip. Here, we conducted the first objective analysis of tiling array platforms, amplification procedures, and signal detection algorithms in a simulated ChIP-chip experiment. Mixtures of human genomic DNA and spike-ins comprised of nearly 100 human sequences at various concentrations were hybridized to four tiling array platforms by eight independent groups. Blind to the number of spike-ins, their locations, and the range of concentrations, each group made predictions of the spike-in locations. We found that microarray platform choice is not the primary determinant of overall performance. In fact, variation in performance between labs, protocols and algorithms within the same array platform was greater than the variation in performance between array platforms. However, each array platform had unique performance characteristics that varied with tiling resolution and the number of replicates, which have implications for cost versus detection power. Long oligonucleotide arrays were slightly more sensitive at detecting very low enrichment. On all platforms, simple sequence repeats and genome redundancy tended to result in false positives. LM-PCR and WGA, the most popular sample amplification techniques, reproduced relative enrichment levels with high fidelity. Performance among signal detection algorithms was heavily dependent on array platform. The spike-in DNA samples and the data presented here provide a stable benchmark against which future ChIP platforms, protocol improvements, and analysis methods can be evaluated. This SuperSeries is composed of the following subset Series: GSE9732: Spike-in Experiment for ChIP-chip Simulation GSE9842: Systematic evaluation of variability in simulated ChIP-chip experiments GSE9848: Systematic evaluation of variability in simulated ChIP-chip experiments Kevin_Encode GSE9849: Systematic evaluation of variability in simulated ChIP-chip experiments Myles_Encode GSE10004: ENCODE Spike-In, Yale Group GSE10076: ENCODE spikein, amplified DNA samples, NimbleGen arrays GSE10090: ENCODE spikein, nonamplified DNA samples, NimbleGen arrays GSE10112: Systematic evaluation of variability in simulated ChIP-chip experiments Keywords: SuperSeries For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf Refer to individual Series
2010-09-30 | E-GEOD-10114 | biostudies-arrayexpress