Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of human peripheral blood derived dendritic cells response to mycobacterial ManLAM

ABSTRACT: The inhibitory axis of PD-1 expressed on T cells and its ligands produced by APCs mediates T cell exhaustion in chronic viral infection. We asked whether temporality of the infectious process is decisive for regulation through PD-1/PD-Ligand and investigated its impact on chronic bacterial infection. Here we show that M. tuberculosis and its lipid compounds induce expression of PD-Ligand on dendritic cells (DC). Upregulation of PD-Ligand depended on signaling through DC-SIGN upon infection. As a counterpart, expression of the PD-1 receptor was increased on T cells from tuberculosis patients and PPD+ donors compared to healthy normal individuals. Moreover, PD-1 expressing T cells were confined to granulomatous lesions in tuberculous lungs. Finally, functional blocking of PD-Ligand rescued antigen-specific T cell responses of tuberculosis patients. Taken together, we demonstrate that the inhibitory axis of PD-1/PD-Ligand is operative in mycobacterial infection and suggest inhibition of inhibition for rescuing exhausted T cells in tuberculosis. Experiment Overall Design: Human PBMC-derived DCs were grown in 6-well plates and stimulated for 18 h with either mycobacterial ManLAM or recombinantly expressed ICAM-3. To ensure complete naÃ¯ve status of DCs before stimulation, cells were left in wells from the day of PBMC isolation until end of stimulation. Change of medium was performed by carefully removing medium from wells without any manipulation of DCs. After stimulation, total RNA was isolated as described above and labeled with Fluorescent Direct Labeling Kit (Agilent Technologies) following manufacturerâs protocols. Microarray experiments were performed as two-color dye-reversal hybridizations. To compensate for dye-specific effects, a color swap was performed. Labeled RNA was hybridized on Whole Human Genome Oligo Microarray Kit 44k Format and scanned using an Agilent scanner according to manufacturerâs protocol (Agilent Technologies). Image analysis was performed using Feature Extractor software (Agilent Technologies). For data analysis Rosetta Resolver software was used (Rosetta Inpharmatics).

ORGANISM(S): Homo sapiens

SUBMITTER: Hans-Joachim Mollenkopf

PROVIDER: E-GEOD-10198 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:There is an emerging hypothesis that dilated cardiomyopathy (DCM) is a manifestation of end-stage heart failure (ESHF) resulting from âfinal common pathwayâ despite heterogeneous primary etiologies. We performed genome-wide expression profiling by means of high-density oligonucleotide microarrays using cardiac muscles from patients with DCM or specific cardiomyopathy as well as non-disease control hearts. Differentially expressed genes between ESHF and non-disease samples should include both genes reactive to heart failure (HF) and those responsible for ESHF. With the aid of samples with acute HF without DCM and those with DCM without HF (corrected with left ventricular assist device), we successfully distinguished ESHF genes from HF genes. Our findings implicate that transcriptional signature of cardiac muscle can be potentially applied as a diagnostic or prognostic tool for severe HF. Experiment Overall Design: The expression profiles of approximately 20,227 genes were analyzed using a microarray, Human 1A ver.2 (Agilent Technologies). A total of 30 cardiac RNA samples (21 clinical samples and 9 purchased samples) were used in the hybridizations. 200ng of total RNA was used for T7 RNA polymerase-based cRNA labeling. The microarray experiments were then carried out using competitive hybridization experiments with Cy5-labeled heart RNAs as a test RNA and with Cy3-labeled pooled heart RNA (Sample N) as a template control for normalization. The glass slides were scanned using an Agilent G2565BA microarray scanner. Scanned images were then analyzed using Feature Extraction software. The average signal intensities were corrected for median background intensity and transferred with GenBank descriptors to a Microsoft Excel data spreadsheet (Microsoft, Redmond, WA). Experiment Overall Design: Data analysis was performed using Genespring software version 6.1 (Silicon Genetics, Redwood City, CA). To avoid âfalse positiveâ signals, we excluded certain genes from the analysis for which the average reference signal level constraints were under 70. After intensity dependent normalization (Lowess), the expression levels relative to the control were calculated as a ratio, and the expression profiles were then compared between each disease or normal sample. Statistical analysis was done using non-parametric tests. To order the samples according to the correlation coefficient, we applied âFind Similar Samplesâ algorithm using Spearman Correlation.

Project description:Pre-eclampsia is one of the most serious pregnancy-associated disorders, and is defined by hypertension (systolic blood pressure higher than 140mmHg or diastolic blood pressure higher than 90mmHg) with proteinuria (more than 0.3g/day). It is not a simple complication of pregnancy, but is rather a syndrome of multiple organ failure involving the liver, kidney, and lung, as well as coagulatory and neural systems. There is now an emerging consensus that pre-eclampsia is a complex polygenetic trait in which maternal and fetal genes, as well as environmental factors, are involved, although the precise mechanism of the disorder has remained elusive. In this study, we have performed gene expression profiling to further elucidate the mechanisms underlying the development of the pre-eclamptic condition. We thus compared the expression profiles in placentas from women who underwent a normal pregnancy and from women suffering from severe pre-eclampsia. In addition, we compared the expression data between the early and late onset forms of pre-eclampsia and obtained a number of potential new prognostic biomarkers for this disease. Experiment Overall Design: Placental biopsies were obtained during Caesarean section from both normotensive patients and from those with pre-eclampsia (n = 14) (early onset type; earlier than 31 weeks gestation, n = 6 and late onset type; 31 weeks gestation or later, n = 8). Pre-eclampsia was defined as a blood pressure of higher than 160/110 mmHg, with proteinuria of more than 2g in a 24 hour collection. The expression profiles of approximately 47,669 genes were analyzed using a Whole Human Genome Oligo Microarray Kit (Agilent Technologies). A total of 10 placentas from women with pre-eclampsia and four from normal subjects were used in the hybridizations. Reverse transcription labeling and hybridization was performed using the protocol recommended by the manufacturer. The microarray experiments were then carried out using competitive hybridization experiments with Cy3 and Cy5-labeled targets; one with test placental RNAs from patients or normal control subjects, and another using pooled normal placental RNA as a template control for normalization. The glass slides were scanned using an Agilent G2565BA microarray scanner. Scanned images were then analyzed using Feature Extraction software. The average signal intensities were corrected for median background intensity and transferred with GenBank descriptors to a Microsoft Excel data spreadsheet (Microsoft, Redmond, WA). Data analysis was performed using Genespring software version 6.1 (Silicon Genetics, Redwood City, CA). After intensity dependent normalization (Lowess), the expression levels relative to the control were calculated as a ratio, and the expression profiles were then compared between each pre-eclamptic or normal sample.

Project description:The clinical results obtained with organ allografts from marginal or extended donors are less satisfactory over both the short-term and long-term than the outcome of grafting from living donors. Early postoperative graft function depends on several pretransplant factors, with the major donor influences being brain death (BD) and ischemia/reperfusion(I/R) injury. The effects of BD and I/R injury not only reduce the number of functioning nephrons, but also trigger a host immune response to the grafted kidney. It has been hypothesized that allografts from marginal sources may not be biologically inert at the time of surgery, but may already be programmed to initiate or amplify a host response. To exclude the effects of allogenicity, we established a rat renal isograft model using dead donors and compared the results with those obtained after grafting from living donors. In this study, we performed an analysis of the changes of gene expression in rat kidney isografts using samples obtained at 0(pre-transplant) and 1 hour time points since transplantation procedure. The results enhanced our insight into the pathways and cascades that are activated or down-regulated by BD and/or I/R injury. Better knowledge of the key components of BD or I/R injury will provide clues to the factors triggering progression that leads to a decline of organ viability, as well as ideas on how to overcome such graft failures. Such data may also allow us to identify novel biomarkers as predictors of adverse outcomes. Experiment Overall Design: Inbred male Lewis rats were used for these experiments as recipients and donors. The left kidney was transplanted orthotopically by end-to-end anastomosis. The contralateral right kidney was removed at the time of transplantation. The time of operative ischemia for transplantation was 30 min, which did not vary between animals. Donor animals were divided into two groups. The experimental group received kidneys from BD rats, while kidneys from living donors were used in the control group. Brain death was produced by gradually increasing the intracranial pressure that led to brain stem herniation. The rats were mechanically ventilated for a period of 6 hours. We compared the gene expression profiles of renal isografts from BD donors and grafts from living donors using a high-density oligonucleotide microarray that contained approximately 20,500 genes. Experiment Overall Design: For DNA microarray experiments, 200 ng aliquots of total RNA were labeled using the Agilent Low RNA Input Fluorescent Linear Amplification Kit (Agilent Technologies Product) according to the manufacturerâ??s instructions. RNA purified from each kidney graft was used for microarray analysis (Cy3-labeled), with pooled RNA derived from normal kidneys as a template control (Cy5-labeled). After checking the labeling efficiency, 1ï?g aliquots of Cy5-labeled normal control RNA and Cy3-labeled RNA from individual grafts (control 0 hour, 1 hour, BD 0 hour, BD 1 hour, n=3/group) were mixed, and then hybridized to Agilent Rat Oligo Microarrays (Product No. G4130A). After washing, the microarray slides were analyzed with an Agilent Microarray scanner and software (scanner model G2565BA). Data analysis was performed using Agilent Feature Extraction software (Ver. A.7.1.1), and Excel 2003 (Microsoft). The data were imported into GeneSpring 7.0 (Silicon Genetics, Redwood City, CA), with per spot, per chip, and intensity dependent (lowess) normalization being applied for each array. The ratio of the normalized channels (Cy3/Cy5) was used to assess the level of expression.

Project description:Renal scarring is a serious complication of chronic pyelonephritis due to vesicoureteral reflux, and requires specific biomarker for indication of early intervention. We investigated global expression profile of kidney during renal scarring formation using rat pyelonephritis model. An inoculum of the DS-17 strain Escherchia coli was injected directly into renal cortex of Wister rat. Histologically, renal scarring developed during 3 and 4 weeks after injection. The time course expression profile of approximately 20,500 genes was analyzed using high density oligonucleotide microarray followed by validation using real time RT-PCR. Most of up-regulated genes during this experimental renal scarring were associated with immune and defense response, including cytokines, chemokines, their receptors, complements, and adhesion molecules as well as proteins related to extra cellular matrix. These genes were up-regulated as early as 1 week after injection when histological examination did not show fibrotic change yet, peaked at 2 weeks and gradually decreased thereafter. However, a subset of cytokine genes is persistently activated even in 6 weeks after the injection, which are involved in TGF-Î² related tissue regeneration pathway or IL-1Î² related pathway. The products of these genes may potentially be the source of novel non-invasive diagnostic or prognostic biomarkers for renal scarring. Experiment Overall Design: Experimental pyelonephritis was produced by standard method of direct infection of rat kidney. In brief, animals were anesthetized with pentobarbital intraperitoneally. The kidneys were exposed through a midline abdominal incision. An inoculum of 1x109 colony-forming units / 0.1 ml of Escherchia coli was injected directly into bilateral renal cortex of Wister rat using 26-gauge needle. We used DS-17 or NU-14 strains, both of which has type 1 and P pili, and SEC strain, which has only type 1 pili. Control rats received isotonic saline instead of bacterial solution. Both test and control kidneys were harvested at 1, 2, 4 and 6 weeks after injection. The kidney samples (1x1x2 mm each) were obtained including the injection site, which was easily identified by surface color change. Then we cut the kidney into half; one was used for microscopic examination and the other half was immediately frozen in liquid nitrogen for later RNA extraction.

Project description:Because of world-wide shortage of renal grafts, kidney transplantation (KTx) from donors after cardiac death (DCD) is an alternative way to KTx from brain-dead donors. Although the prognosis of DCD KTx is gradually improving, the graft often undergoes delayed graft function (DGF) rendering the control of DGF essential for post-KTx patient care. To know the etiology of the DGF, we performed genome-wide gene expression profiling using renal biopsy samples performed at 1 hour after KTx from DCD and compared the data with those of KTx from living donors (LD). A total of 526 genes were differentially expressed between them. Genes involved in acute inflammation were activated, while metabolic pathways were consistently down-regulated in DCD. All of these findings imply inferior performance of the DCD grafts relative to LD grafts. We identified several genes of which expression levels were correlated well with parameters indicating short- and long-term prognosis of the DCD patients. In addition, we identified several genes encoding secretory proteins that might reflect the performance of the graft and be potent non-invasive biomarkers. Our data provide good source for candidates of biomarker that are potentially useful for control of DGF. Experiment Overall Design: This investigation was approved by the Institutional Review Boards of our centers. Written informed consent was obtained from each patient or legal guardian before enrollment. Consecutive patients undergoing either a living (n =15) or DCD KTx (n = 14) at this center were prospectively enrolled. The immunosuppressive regimen was similar in all patients, consisting of basiliximab, tacrolimus or cyclosporine with prednisone and mycophenolate mofetil. All kidney grafts were procured at this canter using in situ regional cooling technique from DCD. All donors after cardiac death from this hospital were classified as type IV in this study. The cause of donor death was cerebrovascular disease in all cases. Although most of those cases required HD (0-22 days) after KTx because of DGF, the function of all of transplanted kidneys eventually recovered. All kidney grafts from LD were procured by open nephrectomy in this study. All graft biopsies were performed one hour after reperfusion during kidney transplant operation using biopsy needles. All biopsy samples were stored immediately in RNA later (Applied Biosytems). Total cellular RNA was extracted from frozen samples using RNeasy (Qiagen, Valencia, CA, USA). For DNA microarray experiments, 200 ng aliquots of total RNA were labeled using the Agilent Low RNA Input Fluorescent Linear Amplification Kit (Agilent Technologies, CA) according to the manufacturerâs instructions. RNA purified from each kidney graft was used for microarray analysis (Cy5-labeled), with pooled RNA derived from normal kidneys (Homan Kidney Total RNA #636529 BD, Franklin Lakes, NJ, USA) as a template control (Cy3-labeled). After checking the labeling efficiency, 1 ïg aliquots of Cy3-labeled normal control RNA and Cy5-labeled RNA from individual grafts were mixed, and then hybridized to Agilent Human 1A (Ver. 2) Microarrays (Product No.G4110B) according to the manufacturerâs hybridization protocol. After washing, the microarray slides were analyzed with an Agilent Microarray scanner and software (scanner model G2565BA). Data analysis was performed using Agilent Feature Extraction software (Ver. A.7.1.1), and Excel 2007 (Microsoft).

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 and analysis 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. All commercial tiling array platforms performed well, although each platform and analysis algorithm had distinct performance and cost characteristics. Simple sequence repeats and genome redundancy tend to result in false positives on oligonucleotide platforms. The spike-in DNA samples and the resulting array data presented here provide a stable benchmark against which future ChIP platforms, protocol improvements, and analysis methods can be evaluated. Keywords: chip-ChIP simulation For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf For each replicate array, we labeled 1Âµg of spike-in sample and 1Âµg of control sample. The Bioprime Plus Array CGH labeling Module (Invitrogen Catolog number 18095-014) was used. The spike-in was labeled with the red channel dye (Alexa Fluor-647) and the control was labeled with the green channel dye (Alexa Fluor-555) in two of the replicates. A dye swap was performed for the third replicate. These samples were then competitively hybridized to three replicate 244k arrays from Agilent, (AMADID 25150451). We hybridized the samples to the arrays using the Agilent Array CGH protocol, with some modifications. Briefly, labeled DNA was combined with Cot-1 DNA, blocking reagent, and hybridization buffer. The hybridizations were carried out at 60Â°C. The arrays were scanned using an Agilent dual laser scanner, and the images were processed using Agilent Feature Extraction Software.

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Transcription profiling of human peripheral blood derived dendritic cells response to mycobacterial ManLAM

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