Gene expression profiling in whole blood in patients for KlinefelterM-bM-^@M-^Ys Syndrome
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ABSTRACT: To study the difference of gene expression pattern of whole blood between klinefelterM-bM-^@M-^Ys syndrome and normal individuals and discovered the disease-related genes and biological pathway. 717 differentially expressed genes (480 up regulated, 237 down regulated) were identified between whole blood samples of the klinefelterM-bM-^@M-^Ys patients and normal volunteers. Function enrichment analysis identified a number of genes involved in immune response, metabolism etc. Three genes with significant down-regulation in KlinefelterM-bM-^@M-^Ys patients were also confirmed by qRT-PCR.Using the whole blood as material in patients with klinefelterM-bM-^@M-^Ys syndrome, the differentially expressed genes was identified. It is noticed that genes involved in metabolism pathways were significantly decreased. These observations may suggest aberrant of metabolism may be important for developing the klinefelterM-bM-^@M-^Ys syndrome. In addition, our results also show that no X-linked genes are overexpression in the peripheral blood cells of KS patients. In the present study, we examined gene expression in whole blood of 5 klinefelterM-bM-^@M-^Ys patients and 5 healthy control volunteers. The RNA of 10 samples was isolated and Gene expression was detected by gene microarray. The different expressed genes were analyzed by SAM software.
Project description:MyD88 is an important adaptor protein for signal transduction downstream of Toll-like receptors and TACI, receptors for regulation of innate immunity and B cell responses, respectively. The surfaces of oral mucosa are protected from infections by antimicrobial proteins and natural immunoglobulins that are constantly secreted in saliva, serving as principal innate immune defense in the oral cavity. Although MyD88-mediated signaling has a regulatory role in the intestinal mucosal immunity, its specific role in the oral cavity has been remained elusive. To identify the specific roles of MyD88-dependent signaling in gene expression profiles in salivary glands, we performed microarray analysis of the major salivary gland tissues (submandibular gland plus sublingual gland) from control (wild-type C57BL/6) mice and C57BL/6 background Myd88-null mice using Agilent Whole Mouse Genome Oligo Microarrays (8x60K, Design ID 028005). Total RNA was extracted from the major salivary gland tissues (submandibular gland plus sublingual gland) of wild-type and Myd88-null mice using using Trizol reagent (Life Technologies, Rockville, MD, USA) according to the manufacturer's instructions. 100 ng of all RNA samples was used as template to produce Cy3-labeled cRNA. The RNA samples were amplified and labeled using the Low Input Quick Amp Labeling Kit (Agilent Technologies, Palo Alto, USA) following the manufacturerM-bM-^@M-^Ys protocol. Cy3 labeled cRNAs were hybridized overnight (17 hours, 65M-BM-0C) to an Agilent Whole Mouse Genome Oligo Microarrays (8x60K, Design ID 028005) using AgilentM-bM-^@M-^Ys recommended hybridization chamber and oven.Finally, microarrays were washed once with wash buffer 1 for 1 min at RT followed by a second wash with wash buffer 2 for 1 min at 37M-BM-0C and a final wash step with acetonitrile for 30 sec at RT. Fluorescence signals of the hybridized Agilent Microarrays were detected using AgilentM-bM-^@M-^Ys Microarray Scanner System (G2505C, Agilent Technologies). The Agilent Feature Extraction Software (FES 10.7.3.1 ) was used to read out and process the microarray image files.
Project description:In these studies, we used splice variant-specific microarrays manufactured by the ExonHit company ( www.exonhit.com) on the Affymetrix platform. The goal was to identify splice isoforms whose expression is altered in whole blood of early-stage ParkinsonM-bM-^@M-^Ys disease patients compared to healthy and neurodegenerative disease controls. The study included 19 cases of ParkinsonM-bM-^@M-^Ys disease (PD) samples, 4 of multiple system atrophy (MSA), 4 progressive supranuclear palsy (PSP) and 10 healthy controls. Thirteen splice variants were confirmed in quantitative polymerase chain reactions and used to classify blinded samples from ParkinsonM-bM-^@M-^Ys disease patients and controls with 90% accuracy and 94% sensitivity. In these studies, we used splice variant-specific microarrays manufactured by the ExonHit company ( www.exonhit.com) on the Affymetrix platform. The study included 19 cases of ParkinsonM-bM-^@M-^Ys disease (PD) samples and 20 control samples including 4 cases of multiple system atrophy (MSA), 4 progressive supranuclear palsy (PSP) and 12 healthy controls. Splice isoforms differentially expressed in PD vs any other control group were identified and validated using real-time quantitative PCR on two independent sets of 33 coded and 53 blinded samples.
Project description:In this study, time dependent (4 h to 96 h) transcriptome changes in roots and shoots of Brassica juncea were analyzed under arsenate (AsV) stress by using Agilent platform. A total of 1285 genes showed significant change in expression pattern upon arsenate (AsV) exposure. The genes belonged to various signaling pathways including hormones (jasmonate, abscisic acid (ABA), auxin and ethylene) and kinases. Significant effects were also noticed on genes of sulfur, nitrogen, CHO, and lipid metabolisms along with photosynthesis. These studies indicated interconnections among sulfur metabolism, jasmonate and kinase signaling pathways. Transcriptome results and biochemical analyses highlight that signaling and metabolic pathways work in a dynamic coordination to perceive and respond to the stress. A set of 53939 sequences, which include EST and nucleotide sequences of Brassica sp., were downloaded from GenBank. These sequences were subjected to clustering and analyzed using CAP3/tgicl program and other in-house tools. A set of 26881 non-redundant sequences was created, which was used for probe design. This set included 1720 Brassica juncea, 15259 Brassica napus and 5075 Brassica rapa sequences; and 6456 from other species. Probes were designed for the non-redundant sequences using Agilent eArray tool. Best probe composition algorithm with the option to design multiple probes for each sequence was the main criteria used for the probe design. AgilentM-bM-^@M-^Ys 4x44 array was selected to print the oligos. A set of positive and negative controls were also added on to the microarray chip. A set of replicate probes were also added for calculating the intra-array reproducibility. The quantity and purity of the RNA was determined by absorbance at 260 nm and 260/280 absorbance ratio respectively. Each of the total RNA preparations was individually assessed for RNA quality based on the 28S/18S ratio and RIN measured on an Agilent 2100 Bioanalyzer system using the RNA 6000 Nano LabChip Kit .With the use of AgilentM-bM-^@M-^Ys 1-Color Quick Amp Labeling Kit, 500 ng of high quality total RNA was denatured in the presence of a T7 promoter primer and a 1-Color RNA Spike-In Kit. Reverse transcriptase was used to reverse-transcribe the mRNA. cDNA was used as a template for in vitro transcription where a T7 RNA polymerase simultaneously amplified target material and incorporated cyanine 3-labeled CTP. Labeled cRNA was purified using spin columns from the Qiagen RNeasy Mini Kit and the quantity and quality of the cRNA was determined by Nanodrop ND-1000 UV-VIS spectrophotometer. With the use of AgilentM-bM-^@M-^Ys Gene Expression Hybridization Kit, 1.65 M-BM-5g of cyanine 3-labeled linearly amplified cRNA was added to a hybridization cocktail and then fragmented. The hybridization cocktail was then dispensed into the wells of gasket slides on top of which a Brassica 4x44K Gene Expression Microarray was placed. This microarray M-bM-^@M-^\sandwichM-bM-^@M-^] was then sealed in a hybridization chamber. The microarrays were hybridized at 65M-BM-0C rotating at 10 RPMs for 17 hours. Slides were washed in AgilentM-bM-^@M-^Ys Gene Expression Wash Buffers according to manufacturer specifications. The microarrays were scanned on the Agilent Microarray Scanner. Scanner data extraction and analysis was performed using Agilent Technologies Feature Extraction software version 10.7.3.1.Microarray data quality was evaluated by reviewing ten standard QC metrics generated by the Feature Extraction Software [Consult the Agilent Technologies Feature Extraction Software version 10.7.3.1 reference guide for a full explanation of the QC metrics]. To determine if there was a large hybridization, staining, or wash artifacts, a visual examination of each array was performed by loading the array image into Feature Extraction Software. Microarrays were determined to be free of any large artifacts (M-bM-^IM-% 10% of total surface area) that could have affected the quality of the data.
Project description:Background: Hepatitis E Virus (HEV) is a new causative agent of chronic hepatitis in solid organ transplant recipients in Europe. Factors associated with the occurrence and persistence of chronic HEV infection remain largely unknown but chronic evolution seems to be the consequence of hostM-bM-^@M-^Ys immunological factors rather than of viral factors. Method: In a prospective case-control study, we have determined in whole blood of chronically HEV-infected kidney-transplant recipients the host response using microarray technology. Results: Chronically HEV-infected kidney-transplant recipients exhibited a specific transcriptional program, in which interferon effectors were prominent. The intensity of expression of each signatureM-bM-^@M-^Ys gene was significantly lower in patients who were subsequently cleared of HEV than in patients who were not. Furthermore, in patients who were cleared of HEV, a higher expression of these genes was associated with a longer delay until HEV clearance. Conclusions: The specific transcriptional program determined in chronically HEV-infected kidney-transplant recipients suggests an activation of type I interferon response. Intensity of interferon-stimulated genes expression could be useful to forecast the outcome of infection. High expression of interferon-stimulated genes could signify a dysregulation in the interferon response that might favour the persistence of the HEV infection. TrialM-bM-^@M-^Ys registration number: NCT01090232; RegistryM-bM-^@M-^Ys URL: http://clinicaltrials.gov/ct2/show/study/NCT01090232?term=kidney+transplant+recipients&cntry1=EU%3AFR&rank=2 Total RNA was extracted from whole-blood sample or monocytes of kidney-transplant patients with or without chronic hepatitis E (CHE) infection. Control patients were matched up with CHE patients for age, sex, time since kidney transplant and immunosuppressive treatment.
Project description:In vivo antigen (Ag)-induced differentiation of B lymphocytes into plasma cells (PCs) takes place in extra-follicular foci and germinal centers of the secondary lymphoid organs (SLOs). Most of these SLO PCs are short-living and only relatively few PCs, characterized by secreting high-affinity antibodies (Ab), travel through the circulation and finally home in specialized survival niches of the bone marrow (BM) and, at a lesser extent, in the SLOs, where they become long-living Ab-secreting PCs. We have employed whole genome microarray expression profiling as a discovery platform to identify genes with the potential to distinguish between human circulating Ag-induced PCs in comparison with tonsil and BM PCs distinctively regulate genes involved in cell proliferation. Gene expressions in human plasma cells isolated from tonsil (7 samples), blood (6 samples) and bone marrow (7samples) were measured. Each sample was isolated from a different donor.
Project description:We performed peripheral blood gene expression profiling to identify an array of transcriptional biomarkers that discriminate presence of active cGvHD requiring immunosuppression following allogeneic HCT. Peripheral blood mononuclear cells were prepared by Ficoll gradient and cryopreserved from 63 patients (median age 50 yrs; range 19-64) following allogeneic HCT (median 475 days post-HCT) on an IRB approved protocol. Samples were randomly selected into a training set (23 cGvHD and 19 without cGvHD) and test set (12 cGvHD and 9 without cGvHD) and processed on the Aligent whole human genome 44k microarray platform. Bioinformatics programs including AILUN, GeneSpring, SAM, and PAM were used to select a minimum gene-set (FDR <5%) to predict cGvHD in the training set. Patient characteristics in the two groups were collected for confounder/interaction analysis across the following parameters: age, gender, disease histology, disease status at HCT, graft source, conditioning regimen, white blood count (WBC) at sample, and follow-up status including relapse and survival. Type, grade, and activity of acute cGvHD and cGvHD at time of sample and at most recent follow-up were determined by two independent investigators by standard clinical criteria. Three-condition experiment, 35 cGvHD vs. 28 non-cGvHD samples vs. 7 controls (cGvHDnoIS; no immunosuppression drug).
Project description:Background MicroRNA expression is frequently dysregulated in cancer and it could be used potentially as a disease classifier and a prognostic tool in cancer. It has been reported that the cancer associated specific microRNAs were stably detected in blood. The objective of this study was to discover a panel of circulating microRNAs as potential ER+/HER2- breast cancer biomarkers. Methods We compared levels of circulating microRNAs in blood samples from 11 ER+/HER2- advanced breast cancer patients with age-matched 5 control subjects by using microarray-based expression profiling. We validated the level of microRNAs by real-time quantitative polymerase cycle reaction (RT-qPCR) in 40 control subjects, 180 early breast cancer patients (EBC), and 52 metastatic breast cancer patients (MBC). Then, we assessed the association between the levels of microRNA and clinical outcomes of ER+/HER2- metastatic breast cancer. Background MicroRNA expression is frequently dysregulated in cancer and it could be used potentially as a disease classifier and a prognostic tool in cancer. It has been reported that the cancer associated specific microRNAs were stably detected in blood. The objective of this study was to discover a panel of circulating microRNAs as potential ER+/HER2- breast cancer biomarkers. Methods We compared levels of circulating microRNAs in blood samples from 11 ER+/HER2- advanced breast cancer patients with age-matched 5 control subjects by using microarray-based expression profiling. We validated the level of microRNAs by real-time quantitative polymerase cycle reaction (RT-qPCR) in 40 control subjects, 180 early breast cancer patients (EBC), and 52 metastatic breast cancer patients (MBC). Then, we assessed the association between the levels of microRNA and clinical outcomes of ER+/HER2- metastatic breast cancer. Controls: 5 cases; ER +/HER2- breast cancer patients : 11 cases
Project description:To further development of our gene expression approach to biodosimetry, we have employed whole genome microarray expression profiling as a discovery platform to identify genes with the potential to distinguish asthma and normal subjects. We analyzed gene expression patterns of the peripheral blood cells from asthma patients compared with those from normal subjects using microarray analyses. In addition, we analyzed gene expression patterns of the LPS or HDM-treated THP1 cells compared with those from non-treated THP1 cells. And we analyzed the microarray data through clustering analysis, signaling pathway analysis and others. Ten milliliters of peripheral blood of five mild asthma, five severe asthma and five normal subjects were centrifuged at 4000 rpm for 20 min to collect 0.4 mL of the buffy coat fraction for in vivo study. To induce an inflammatory response, for in vitro study, the THP1 cells were seeded in 12-well plates at a density of 1 M-CM-^W 106 cells/well in RPMI 1640 medium containing 0.5% fetal bovine serum and stimulated for 24 hrs with LPS or HDM extract. After stimulation the THP1 cells were harvested using a cell scraper and lysed for total RNA extraction. Total RNA was extracted from the buffy coat fractions and RNA was reverse transcribed into cDNA for microarray analysis
Project description:In chronic viral infections such as HIV-1, HBV and HCV, CD8+ T cells may become M-bM-^@M-^]exhaustedM-bM-^@M-^], characterized by progressive functional deficiency. Recently, the underlying mechanisms have been characterized by molecular profiling of virus-specific CD8+ T cells. In contrast, only little is known of self/tumor-specific CD8+ T cells from cancer patients, likely because they are much more difficult to assess. For the first time, we determined the molecular profile of human tumor-specific CD8+ T cells, upon sorting of Melan-A/MART-1 specific T cells directly ex vivo from 19 melanoma patients after vaccination with peptide and CpG. For comparison, we sorted protective T cells specific for the two herpes viruses EBV and CMV. In peripheral blood, we found multiple features of functional effector T cells, with only small but nevertheless significant differences between the three T cell populations, resulting in clean clustering according to antigen specificity. In contrast, Melan-A/MART-1 specific T cells obtained from tumor-infiltrated lymph nodes (TILNs) expressed multiple genes associated with T cell exhaustion, compatible with the known functional deficiencies of T cells in melanoma metastases. We show that individual T cells simultaneously expressed multiple inhibitory receptors implied in functional impairment. Together, the data indicate that in circulation, human tumor-specific T cells have the potential to become competent effector cells. In the tumor environment, however, T cells are exhausted and fail to control malignant disease. Our novel resource data identify mechanisms of functional T cell deficiency in melanoma patients, providing a rational basis for the improvement of immune therapy. 52 samples were measured in two sets of experiments. 4 self/tumor-specific samples from blood were replicated between the first and second sets. Set 1 (32 samples, all from blood): 13 naive samples, 10 EBV-specific samples, 9 self/tumor-specific samples. Set 2 (20 samples): 7 CMV-specific samples from blood, 7 self/tumor-specific samples from TILN, 6 self/tumor-specific samples from blood.
Project description:Background Immune tolerance and persistent mixed chimerism can be achieved reproducibly after combined organ and hematopoietic cell transplantation in mice conditioned with total lymphoid irradiation plus anti-thymocyte globulin. We studied the safety and reproducibility of this approach in a cohort of kidney transplant patients, and tried to identify immune monitoring procedures that can predict tolerance and guide complete immunosuppressive drug withdrawal. Methods Ten patients conditioned with 10 doses of total lymphoid irradiation and 5 doses of anti-thymocyte globulin were given kidney transplants and an injection of CD34+ hematopoietic progenitor cells and T cells from HLA matched donors. Blood cell monitoring included changes in chimerism, balance of T cell subsets, gene expression, and responses to donor alloantigens. Results Nine of 10 patients developed multi-lineage chimerism without graft versus host disease (GVHD), and all had excellent graft function at the last observation point. Five of these with chimerism persisting for at least 12 months were completely withdrawn from immunosuppressive drugs for 6 to 35 months. Blood cells from patients off drugs showed development of specific unresponsiveness to donor alloantigens, M-bM-^@M-^\toleranceM-bM-^@M-^] profiles on gene microarrays, early high ratios of regulatory versus conventional naM-CM-/ve T cells, and early high levels of chimerism among NK cells. Conclusions Total lymphoid irradiation, and anti-thymocyte globulin promoted the development of persistent chimerism and tolerance in a cohort of patients given kidney transplants and donor cell injections. Assays were identified that can assist in the safe withdrawal of immunosuppressive drugs. 45 Agilent Microarray samples were conducted, including 16 tolerance patients, 10 chronic rejection patients, 5 healthy normal controls, and 7 paired pre and post-transplant induced tolerance patients. The aim is to see whether induced tolerance patients show operational tolerance gene expression signature and can withdraw or minimize the immunosuppression regimens.