Project description:Being able to identify patients in whom immunological tolerance has been established or is developing would allow an individually tailored approach to post-transplant management of kidney allograft recipients. Ex vivo immunological monitoring was performed on samples from five groups of European renal transplant recipients (“IOT samples”): ten drug-free tolerant recipients who were functionally stable despite remaining immunosuppression-free for more than one year (Tol-DF); also functionally stable patients on minimal immunosuppression (<10 mg/day prednisone, s-LP); stable patients maintained with calcineurin inhibitors (s-CNI); stable patients maintained on CNI-free immunosuppression regimen (s-nCNI); patients showing signs of chronic rejection (CR) and healthy controls (HC). Among the investigation of other biomarkers and bioassays, gene expression profiles were generated on custom Agilent 8x15K 60mer oligonucleotide microarrays (“RISET 2.0”) on the IOT cohort (training set) and on an independent cohort of patients from the ITN (USA) that contained similar groups of patients and included 23 tolerant recipients (“ITN samples”, test set). Set of genes were identified, whose expression on whole blood allowed the identification of 100% of the tolerant recipients in the training set and 84% in the test set. Keywords: classification of clinical samples, tolerance prediction IOT samples: 13 samples from 10 Tol-DF patients, 16 samples from 11 s-LP patients, 8 samples from 8 s-nCNI patients, 40 samples from 28 s-CNI patients, 10 samples from 9 CR patients, and 8 samples from 8 HC donors were analysed on a custom Agilent 8x15K 60mer oligonucleotide microarray encomprising 5069 probes in triplicates. The microarray is dedicated to transplantation research and was designed based on current literature and published and unpublished data provided by the RISET consortium. For the probe selection procedure we specially focused on the detection of multiple transcript variants of a gene, on optimized hybridization properties of the probes, and on the avoidance of crosshybridization. The sampling dates of replicate samples from the same patient range from one day to 1.5 years. ITN samples: 31 samples from 23 Tol-DF patients, 14 samples from 11 s-LP patients, 52 samples from 34 s-CNI patients, 25 samples from 18 CR patients, and 20 samples from 20 HC donors were analysed on the same microarray platform and served as test set. The samples of the two cohorts differ in the protocol of RNA preparation.

Project description:Direct contact with mesenchymal stromal impacts on migratory behavior and gene expression profile of CD133+ hematopoietic stem cells during ex-vivo expansion Objective: To investigate the impact of direct contact between mesenchymal stromal cells (MSCs) and CD133+ hematopoietic stem cells (HSCs) in terms of expansion potential differentiation, migratory capacity and gene expression profile. Methods: CD133+ purified HSCs were cultured for 7 days on subconfluent MSCs supplemented with growth factor containing medium. After ex-vivo expansion, non-adherent and adherent cells were collected and analyzed separately. Results: The adherent cells were found to have a more immature phenotype compared to the non-adherent fraction. CXCR4 was up regulated in the adherent fraction which was associated with a higher migration capacity towards a SDF-1 gradient. CFU-GM and LTC-IC assays demonstrated a higher clonogenicity and repopulating capacity of the adherent fraction. Genes involved in adhesion, cell cycle control, motility, self-renewal and apoptosis were expressed at a higher level in the adherent fraction. Conclusion: Adhesion and direct cell-cell contact with a MSC feeder layer supports ex-vivo expansion, migratory potential and stemness of CD133+ HSCs. Keywords: co-culture hematopoietic stem cells (HSCs) on mesenchymal stromal cells (MSCs) Non-adherent and adherent fractions from three independent experiments were isolated and collected. Cells were stabilized in PreProtct™ buffer (Miltenyi Biotec, Germany) and stored at -80ºC. Samples were shipped to Miltenyi Biotec (Bergisch Gladbach, Germany) a Whole Human Genome expression analysis. Briefly RNA was extracted and overall quality of total RNA samples was checked via the Agilent 2100 Bioanalyzer platform (Agilent Technologies). RNA samples were amplified and labelled using the Agilent Low RNA Input Linear Amp Kit (Agilent Technologies). Non-adherent samples were pooled as “Non-adherent pool” and adherent samples were pooled as “adherent pool” and labelled with Cy3 and Cy5, respectively. Fluorescence signals of the hybridized Agilent Oligo Microarrays were detected using Agilent’s DNA microarray scanner and the microarray image files were processed with The Agilent Feature Extraction Software (FES).

Project description:The Epstein Barr virus (EBV) encoded latent membrane protein-1 (LMP1) is a functional homologue of the tumor necrosis factor receptor family and contributes substantially to the oncogenic potential of EBV through activation of Nuclear Factor-kappaB (NF-kappaB). MicroRNAs (miRNAs) are a class of small RNA molecules that are involved in the regulation of cellular processes such as growth, development, and apoptosis, and have recently been linked to cancer phenotypes. Through miRNA microarray analysis, we demonstrate that LMP1 dysregulates the expression of several cellular miRNAs, including the most highly regulated of these, miR-146a. Quantitative RT-PCR analysis confirmed induced expression of miR-146a by LMP1. Analysis of miR-146a expression in EBV latency type III and type I cell lines revealed substantial expression of miR-146a in type III (which express LMP1) but not in type I cell lines. Reporter studies demonstrated that LMP1 induces miR-146a predominantly through two NF-kappaB binding sites in the miR-146a promoter and identified a role for an OCT-1 site in conferring basal and induced expression. Array analysis of cellular mRNAs expressed in Akata cells transduced with an miR-146a expressing retrovirus identified genes that are directly or indirectly regulated by miR-146a, including a group of interferon responsive genes that are inhibited by miR-146a. Since miR-146a is known to be induced by agents that activate the interferon response pathway (including LMP1), these results suggest that miR-146a functions in a negative feedback loop to modulate the intensity and/or duration of the interferon response. Keywords: Analysis of gene expression changes altered by the microRNA, miR-146a EBV positive Burkitt's lymphoma cell line, Akata, was infected with the control retrovirus, pEhyg, or the miR-146a expressing retrovirus, pEhyg-miR-146a. Two infections were carried out for control retrovirus and two infections were carried out with the pEhyg-miR-146a retrovirus. Total RNA was prepared from each of the 4 infections. Control and miR-146a infection set 1 was subjected to dual color array analysis on chip 1. Control and miR-146a infection set 2 was subjected to dual color array analysis on second array of chip 1. Dye swaps of each of these were carried out on two arrays from a second chip (chip 2).

Project description:We used an in vitro model to study the impact of hantavirus infection on the cellular gene expression profile. To do so, A549 cells were infected with pathogenic DOBV genotypes Dobrava, Kurkino, and Sochi and less-pathogenic TULV . A549 cells were chosen because of their high susceptibility towards hantavirus infection and because many fundamental studies on hantavirus biology and on host gene expression changes following infection have been performed with this cell line. Cells were infected at a high multiplicity of infection of 5 focus forming units (FFU) per cell to guarantee uniform infection of all cells. Total RNA from infected and mock-infected control cells was isolated at 12 h post infection. This point of time was chosen to allow enough time for establishment of infection and progression to early viral gene expression but to avoid the risk of missing gene expression changes associated with the onset of the cellular innate immune response towards infection. The distinct modulation of cellular transcription of A549 cells was analyzed by means of a whole genome cRNA microarray. All experiments were performed in duplicate using RNA samples from two independently infected cell cultures for each analysis. To compare the gene expression profiles, ratios were calculated by dividing the merged normalized signal intensities of infected samples by mock-control signal intensities. Genes that exhibited a â¥2-fold change (FC) in gene expression and signal intensities that were significantly above the background with p-values â¤ 0.01 were chosen for further analysis. The successful infection of A549 cells with all viruses and the uniform progression of infection were confirmed by immunofluorescence microscopy of cells infected in parallel. At 12 h post infection with each virus nearly all cells were infected without showing cytopathic effects. Since different clinical courses are caused by infection with distinct DOBV genotypes, genotype-specific regulation of cellular transcripts were investigated that may be crucial for pathogenesis in vitro. Selected infection regulated candidates were verified by qPCR at different time points after infection. We analyzed the gene expression profile of A549 cells wich were either mock-infected or infected with Dobrava Virus (DOBV) Dobrava, Kurkino or Sochi, or with Tula Virus (TULV) at a multiplicity of infection of 5. Experiments were performed in duplicate. At 12 h post infection total RNA was isolated from infected cells and used for microarray analysis.

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Human kidney tumor infiltrating CD4 CD146 T lymphocytes.

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