Transcription profiling by array of human pluripotent stem cells
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ABSTRACT: This SuperSeries is composed of the following subset Series: GSE15491: Generation of pluripotent stem cells GSE18147: Dys and Eureprogramming Refer to individual Series
Project description:Pluripotent stem cells have the potential to differentiate in vitro in many, if not all, functional cell types. Induced pluripotent stem cells (iPS) have recently emerged as a reproducible model of pluripotent stem cells that can be generated from post-natal tissues. To understand this process at the transcriptome level, we generated iPS cell lines, partially reprogrammed cell lines and compared their transcriptome with that of the partental human foreskin fibroblasts and human embryonic stem cell lines. Four categories of samples, comprising human foreskin fibroblasts, fully reprogrammed iPS cell lines, partially reprogrammed iPS cell lines and human embryonic stem cell lines were compared using Significance Analysis of Microarrays (SAM). These data were also compared to a compendium of differentiated human samples and a pluripotency classifier was computed.
Project description:Pluripotent stem cells, which are capable to generate any cell type of the human body, such as human embryonic stem cells (hESC) or human induced pluripotent stem cells (hiPS) are a very promising source of cells for regenerative medicine. However, the genesis, the in vitro amplification and the differentiation of these cells still need improvement before clinical use. This study aimed to improve our knowledge on these critical steps in pluripotent stem cell generation. We derived new hESC lines, generated hiPS and compared these cell types with human foreskin fibroblasts and partially reprogrammed fibroblasts. We included in the overall study hESC, hiPS, human foreskin fibroblasts and partially reprogrammed fibroblasts. Here, hESC lines derived from embryos were hybridized on U133 Plus 2.0 GeneChips (Affymetrix). All samples were normalized using the MAS5 (GCOS 1.2) algorithm, using the default analysis settings and global scaling as normalization method, with a trimmed mean target intensity value (TGT) of each array arbitrarily set to 100. Human pluripotent stem cells were compared with somatic samples and partially reprogrammed cells.
Project description:Macrophage activation is required for the control of innate and adaptive immune responses. The classification in M1 and M2 macrophages based on a combination of small numbers of membrane and soluble markers is operational in murine and human macrophages. If this classification may be extended to circulating monocytes is not elucidated. To answer such question, human monocytes were stimulated for 6 and 18 hours with IFN-gamma and IL-4, two canonical agonists of M1/M2 polarization in macrophages, and gene expression programs were investigated with whole genome microarrays. The temporal analysis of these programs showed marked differences to both IFN-gamma and IL-4. In 6-h stimulated monocytes, gene categories related to inflammatory and immune responses were enriched, and these monocytes exhibited a M1 and M2 polarization in response to IFN-gamma and IL-4, respectively, as found in macrophages. In 18-h stimulated monocytes, the categories related to innate immunity and metabolic pathways were enriched in response to IFN-gamma and IL-4, whereas PPAR signaling pathway was specifically enriched in response to IL-4. In addition, the M1 and M2 polarization induced by IFN-gamma and IL-4, respectively, was replaced by an original transcriptional program that did not depend on IFN-gamma and IL-4. This program appeared as networks around chemokines, NF-kappaB/MAP kinase pathways and MHC class II molecules. These results clearly demonstrated that monocyte activation consisted of an early polarized stage likely involved in effector responses and a delayed stage that may regulate host responses. The establishment of databases on human circulating monocytes using high throughput methods may be critical for pathophysiological and clinical non-invasive studies. Peripheral blood mononuclear cells (PBMCs) were isolated from leukopacks from normal blood donor buffy coats (Etablissement Français du Sang, Marseille, France) by Ficoll density gradient
Project description:In order to investigate the involvement of Hsp27 in splicing, we performed a whole-genome exonic expression profiling of the castration-resistant prostate cancer PC-3 cells treated by Hsp27-siRNA or CTL-siRNA (both in biological duplicates).
Project description:A "Cartes d'Identite des Tumeurs" (CIT) project from the french Ligue Nationale Contre le Cancer (http://cit.ligue-cancer.net). Affymetrix UU133A gene expression data for a series of 32 cases of systemic Anaplastic Large Cell Lymphoma<br> (ALCL) and 5 ALCL cell lines; used to (1) confirm that tumors expressing Anaplastic Lymphoma Kinase (ALK+ ALCL) and ALK- ALCLs are different entities, (2) identify most significantly differentially expressed genes between ALK+ and ALK- samples, (3) generate a molecular signature of ALK- ALCL, (4) perform unsupervised analysis classifying ALCL in sub-groups related to morphology and clinical variables (e.g. disease stage and enrichment with 'early relapse' patients).<br> <br> Principal Investigator: Dr Georges DELSOL-- Centre de Physiopathologie Toulouse-Purpan CHU-Purpan -- Toulouse -- France -- Email: delsol.g@chu-toulouse.fr <br> Programme "Cartes d'identite des Tumeurs" (CIT) of the "Ligue Nationale Contre le Cancer" (LNCC)<br> Submitter: Fabien PETEL (petelf@ligue-cancer.net)
Project description:Multiple human embryonic stem (ES) cell lines derived from blastocysts diagnosed as carrying the mutant huntingtin gene by pre-implantation diagnosis were used to explore early developmental changes in gene expression. How mutant huntingtin impacts on signalling pathways in the pre-symptomatic period has remained essentially unexplored in humans due to a previous lack of appropriate models. Total RNA was isolated from 10 human ES cell lines, 6 HD and 4 wild type control, and their neural stem cell (NSC) progeny.
Project description:In neuroblastoma (NB), the presence of segmental chromosome alterations (SCA) is associated with a higher risk of relapse, even when occurring together with numerical chromosome alterations (NCA). Furthermore, recent evidence shows that SCAs play a role in tumor progression. In order to analyze the role of SCAs in infants with NB, we have performed an extensive retrospective array-CGH analysis of tumours from infants enrolled in the European INES 99.1, 99.2 and 99.3 trials. Tumour samples from 221/300 enrolled patients could be analyzed. SCAs were observed in 11%, 20% and 59% of infants enrolled in trial 99.1 (localised unresectable NB), 99.2 (INSS stage 4s) and 99.3 (INSS stage 4), respectively (p<0.001), and were associated with the presence of bone metastasis (p<0.003). Progression-free survival was poorer in patients whose tumours harbored at least one SCA, in the whole population as well as in trials 99.1 and 99.2. In multivariate analysis, taking into account single genetic alterations, the protocol arm and genomic profile, the SCA genomic profile was the strongest predictor of poor outcome. Although overall survival was excellent, patients with stage 4s disease and a SCA genomic profile had a higher risk of relapse also in the absence of clinical symptoms at diagnosis and required a higher treatment burden for salvage. In conclusion, in infants with NB, a SCA genomic profile is useful to identify patients who will require upfront treatment even in the absence of other clinical indication for therapy, whereas an NCA genomic profile can identify a patient subpopulation in whom treatment reduction can be considered safe. Each of the 218 tumoral genomic DNAs was hybridized against non-tumoral DNA reference on BAC/PAC array or commercial supports in order to determine an overall genomic profile. The reference DNA was obtained from the blood of a single normal individual.
Project description:Abstract: Purpose: To identify a DNA signature to predict metastasis of small node-negative breast carcinoma Experimental Design: The authors used Comparative Genomic Hybridization (CGH) array to analyze 168 pT1T2pN0 invasive ductal carcinoma patients with either good (no event 5 years after diagnosis: 111 patients) or poor (57 patients with early onset metastasis) outcome. A CGH classifier, identifying low and high-risk groups of metastatic recurrence, was established in a training set of 78 patients. This classifier was based on both genomic regions with statistically different alterations between the two groups of clinical outcome and the number of alterations. It was then tested on a validation set of 90 patients and compared to clinicopathological parameters. Results: The genomic status of regions located on chromosomes 2p22.2, 3p23 and 8q21-24 and the number of segmental alterations were defined in the training set to classify tumors into low or high-risk groups. In the validation set, this CGH classifier produced a highly significant odds ratio of 10.39 (95%CI: 3.75-28.78, p=6.63Ã10-6, Wald test) in univariate analysis with a sensitivity of 66%, a specificity of 84% and an accuracy rate of 78%. The 5-year metastasis-free survival analysis showed a highly significant difference between the two predicted groups (Hazard Ratio=5.7, p=1.82Ã10-7, log-rank test). Together with estrogen receptor and grade, this CGH classifier provided significant prognostic information in multivariate analysis. Conclusions: In addition to classical parameters, this DNA signature may constitute an accurate tool to identify patients with T1T2N0 luminal tumors, who may benefit from adjuvant treatments. Each of the 168 tumoral genomic DNA was hybridized against the same non tumoral DNA reference following identical protocol
Project description:We identified four virulence phenotypes of Rickettsia prowazekii (the deadly agent of epidemic typhus) that are associated with the upregulation of antiapoptotic genes (virulent strain) or the Interferon I pathway (avirulent). Transcriptional and proteomic analyses of R. prowazekii linked surface protein expression and methylation with virulence. By sequencing a virulent strain and using comparative genomics, we found hotspots of mutations in homopolymeric tracts of poly(A) and poly(T) that lead to gene split and inactivation and explain the loss of virulence in the vaccine strain. These areas of instability explains adaptive mutations leading to virulence recovery in the vaccine strain. Transcriptional analysis of two different strains growing in L929 cells. A virulent strain (Rp22) was compared to a avirulent strain (Erus). The experiment was performed with 3 independant biological replicates.
Project description:Whole genome gene expression microarrays made it possible to pick up genes, whose products could be involved in a biological pathway. The aim of this study is to provide easy tools to interrogate whole genome transcriptome changes in the process of plasma cell generation, starting from naive B cells and comprising centroblasts, centrocytes, memory B cells, preplasmablasts, plasmablasts, early plasma cells, and mature bone marrow plasma cells.