Gene expression profiles of the Cited4-siRNA-transduced cells and the non-transduced cells.
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
SUBMITTER: Junichiro Miake
PROVIDER: E-GEOD-63542 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:We compared the gene expression profiles of the wild-type Cited4-transduced cells and the nontransduced cells. Embryoid body was formed as in vitro cardiogenesis. For comparison of gene expression profiles of the wild-type Cited4-transduced cells and the nontransduced cells, total RNA was extracted from the wild-type Cited4-transduced cells at day 6.5 and the nontransduced cells at day 6.5.
2016-03-31 | E-GEOD-75887 | biostudies-arrayexpress
Project description:We compared the gene expression profiles of the Cited4 overexpressed and downregulated cells. Embryoid body was formed as in vitro cardiogenesis. For comparison of gene expression profiles of the Cited4 overexpressed and downregulated cells, total RNA was extracted from the Cited4 overexpressed and downregulated cells at day 6.5.
2016-03-31 | E-GEOD-63071 | biostudies-arrayexpress
Project description:We performed time-dependent, genome-wide analysis to explore gene expression profiles during in vitro cardiogenesis from embryonic stem cells to cardiac progenitor cells. Total RNA was extracted from undifferentiated stem cells, early mesodermal cells, cardiac mesodermal cells and cardiac progenitor cells. As a result of cluster analysis, Cited gene family was considered as candidate genes in cardiogenesis. Cited4 gene expression was specific for early cardiogenesis and Cited4 functioned as a cell cycle controling factor for early cardiac progenitor cells. Embryoid body was formed as in vitro cardiogenesis. Total RNA was extracted from Rex1-positive undifferentiated stem cells at day 0, Bra-positive early mesodermal cells at day 4.5, Flk1-positive cardiac mesodermal cells at day 4.5 and Nkx2.5-positive cardiac progenitor cells at day 7.5.
2016-03-31 | E-GEOD-63069 | biostudies-arrayexpress
Project description:Human fibroblasts comparison between healthy and PDP. Keywords: genetic disease Two-condition experiment, Control vs. PDP fibroblasts.
2010-06-05 | E-GEOD-17947 | biostudies-arrayexpress
Project description:Purpose: Our study aimed to disclose the specific gene expression profile representing peritoneal relapses inherent in primary gastric cancers and to identify patients at high risk of peritoneal relapse in a prospective study on the basis of the molecular prediction. Experimental Design: RNA samples from 141 primary gastric cancer tissues after curative surgery were profiled using oligonucleotide microarrays covering 30,000 human probes. Firstly we constructed molecular prediction system and validated the robustness and prognostic validity of the analysis by 500 times multiple random sampling in 56 retrospective set consisting of 38 relapse free and 18 peritoneal relapse patients. Secondly we applied this prediction to 85 prospective set to assess the predictive accuracy and prognostic validity. Results: In retrospective phase, 500 times multiple random sampling analysis yielded 68% predictive accuracy in average and 22 gene expression profile associated with peritoneal relapse was identified. This prediction could identify significantly poor prognostic patients. In prospective phase, the molecular prediction yielded 76.9% overall accuracy. KaplanâMeier analysis with peritoneal relapse free survival showed a significant difference between âgood signature groupâ and âpoor signature groupâ (Log-rank p=0.0017). Multivariate analysis by Cox regression hazards model revealed that the molecular prediction was the only independent peritoneal relapse prognostic factor. Conclusions: Gene expression profile inherent in primary gastric cancer tissues can be useful to predict peritoneal relapse prospectively after curative surgery and individualize postoperative management to improve the prognosis of advanced gastric cancers. Of 141 samples, 56 represented the retrospective phase and 85 represented the prospective phase.
2010-05-23 | E-GEOD-15081 | biostudies-arrayexpress
Project description:The histological evaluation of liver via biopsy remains as the standard for the diagnosis of both acute cellular rejection (ACR) and recurrent hepatitis C (RHC) after liver transplantation. Nevertheless, it is often difficult to diagnose ACR in HCV-positive recipients because of common co-existing and overlapping morphological changes with RHC. The aim of the study was to identify potential target genes for ACR in recipients with RHC. We analyzed 22 liver biopsy samples obtained from 21 HCV-positive recipients. The clinicopathological diagnoses for the biopsies were ACR-predominant with superimposed RHC in 9 samples (ACR group) and RHC with no ACR (non-ACR group) in the remaining. We compared the transcriptional alterations between the two groups with oligonucleotide microarray and selected 2206 genes which were significantly modulated in ACR. Subsequently we analyzed the regulatory networks in ACR using Ingenuity Pathway Analysis, and focused on 5 genes (IFNAR1, IL-12RB2, NFATC3, BMP2, and CASP8) from the core network as the target genes for ACR. In conclusion, our results demonstrated that novel transcriptome patterns of ACR and concurrent RHC were present and distinct from recipients with only RHC, suggesting that gene expression profiling may have a role in the diagnosis of ACR in recipients with hepatitis C. Keywords: Gene identification in ACR with recurrent HCV infection Of 22 liver biopsy samples, 9 represented the clinicopathological diagnoses for ACR-predominant with superimposed RHC (ACR group) and 13 represented the clinicopathological diagnoses for RHC with no ACR (non-ACR group) .
2010-05-15 | E-GEOD-13440 | biostudies-arrayexpress
Project description:Background & Aims. The current staging system for colorectal cancer (CRC) based on TNM classification allows prediction of potential recurrence. However, it does not necessarily make reliable personalized prediction of prognosis. In this paper we describe combination of clinicopathological data and gene signature of dissected tumor specimen with stage II and III CRC patients would improve the situation.. Methods. A total of 1978 CRC were collected over 5 years, and then 371 stage II and 322 stage III of them with more than 45.9 months records were subjected to clinicopathological feature analyses. Out of this collection, 129 stage II and III CRC cases were selected for analyses of gene expression profiles with resected specimen. The gene signatures were analyzed by repeated random divisions of the samples into training and test sets to extract discriminator genes. After testing the applicability of this discriminator set, it was subjected to validation using a newly obtained set of 69 samples. Results. The pathological factors in solo or in combinations could not make personalized recurrence prediction, except for partial success with stage II patients. The gene signature, on the other hand, was capable of producing a set of discriminator genes, though the accuracy was yet to be improved. We observed that the best result was obtained when discriminators were selected from stage II CRC samples and used for prognosis of stage II CRC. When stage III cases were included in the process of discriminator extraction or in the process to validate samples, the results were poorer. Finally, we examined 31 independent stage II samples with a set of 30 such discriminators and were able to obtain results with 78 % accuracy, 90 % negative predictive value (NPV), and 55% positive predictive value (PPV). Conclusions. Independent clinicopathological variables were not able to predict prognosis of individual patient, unless the factors are combined. On the other hand, gene signatures allowed accurate prediction of prognosis for individuals, especially with stage II CRC, suggesting its potential use for selection of best treatment option for individual patients. The accuracy of discriminator prediction will be further improved when we take the evolution of CRC into consideration. Of 198 samples, 129 represented the discovery phase and 69 represented the validation phase.
2009-07-02 | E-GEOD-12032 | biostudies-arrayexpress
Project description:Approximately 1426 lncRNAs (965 up-regulated and 461 down-regulated) and 1715 mRNAs (896 up-regulated and 819 down-regulated) were aberrantly expressed in HCM patients with fold change > 2.0 Myocardial tissues were obtained from 7 HCM patients and 5 disease-free individuals, and lncRNA and mRNA expression profiles were analyzed using the CapitalBio Human LncRNA Microarray v2.0.
2015-05-08 | E-GEOD-68316 | biostudies-arrayexpress
Project description:Thousands of novel non-coding RNAs (ncRNA) has been identified in recent years. Only few have been functionally characterized and it is thus unclear which and how many are functional. Here, we characterize expression of ncRNAs in twelve human tissues using a costum designed microarray. The study serve as a first analysis to gain further insight into expression behavior of a broad and comprehensive collection of ncRNAs and pinpoint a set of ncRNAs we believe are functional. Expression was measured in triplicates of twelve human tissues using a custom-designed array containing 26,910 non-coding RNA features and a set of 6,856 protein-coding genes.
2013-06-01 | E-GEOD-41947 | biostudies-arrayexpress
Project description:Background Eosinophil cationic protein is a clinical asthma biomarker that would be released into blood, especially gathered in bronchia. The signal peptide of eosinophil cationic protein (ECPsp) plays an important role in translocating ECP to the extracellular space. We previously reported that ECPsp inhibits microbial growth and regulates the expression of mammalian genes encoding tumor growth factor-a (TGF-a) and epidermal growth factor receptor (EGFR). Results In the present study, we first generated a DNA microarray dataset, which showed that ECPsp upregulated proinflammatory molecules, including chemokines, interferon-induced molecules, and Toll-like receptors. The levels of mRNAs encoding CCL5, CXCL10, CXCL11, CXCL16, STAT1, and STAT2 were increased in the presence of ECPsp by 2.07-, 4.21-, 7.52-, 2.6-, 3.58-, and 1.67-fold, respectively. We then generated a functional linkage network by integrating the microarray dataset with the pathway database of Kyoto Encyclopedia of Genes and Genomes. This revealed that STAT1[/2], an important transcriptional factor that regulates cytokine expression and release, served as a hub to connect the pathways of cytokine stimulation (TGF-a and EGFR pathways) and inflammatory responses. Furthermore, integrating TGF-a and EGFR with the functional linkage network indicated that STAT1 served as a hub that connects two functional clusters, including (1) cell proliferation and survival, and (2) inflammation. Finally, we found that conditioned medium in which cells that express ECPsp had been cultured could chemoattract macrophages. Therefore, we hypothesize that ECPsp may regulate the migration of macrophages in vivo. Conclusion The increased expression and release of various cytokines triggered by ECPsp may attract macrophages to bronchia to purge damaged cells. Our approach, involving experimental and computational systems biology, predicts pathways and potential biological functions for further characterization of this novel function of ECPsp under inflammatory conditions. The control group of this study is Beas-2B cells treated with pEGFP-C1, and the experiment group is the same cell line treated with pEGFPN1-ECPsp. Each group was conducted by two biological repeats and two technical repeats were done in DNA microarray analyses. On the microarray chip, 29,187 probes correspond to the annotated genes in the RefSeq v38 and Ensembl v56 databases. Furthermore, 1,088 control probes are also included for monitoring the sample quality and the hybridization process.
2013-07-20 | E-GEOD-39122 | biostudies-arrayexpress