Gene expression profiling in leaf and panicles of non-transgenic and HMB4 over-expression line.
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ABSTRACT: The profiling was conducted with the Rice 3'-Tiling 135k Microarray designed from 31,439 genes deposited at IRGSP, RAP2 database (http://rapdb.lab.nig.ac.jp). In this research, an array of 31,439 rice genes was used to elucidate gene expression in leaf and panicles of non-transgenic and HMB4 over-expression line. The analyses show that transgenic rice induces early flowering due to an enhancement of stress response. A total of 20 chips were used for microarray. Total RNAs were extracted from rice leaf and panicle. Experiments were duplicated.
Project description:The profiling was conducted with the Rice 3'-Tiling Microarray designed from 27,448 genes deposited at IRGSP, RAP1 database (http://rapdb.lab.nig.ac.jp). In this research, an array of 27,448 rice genes was used to elucidate the transcriptome of 7 tissues or organs of Oryza sativa L. cv. Dongjin including calli, regenerating calli, germinating seeds, leaves, roots, and flowers (before and after pollination) using a rice 3â² ORF tilling microarray. The ratio of standard deviation to the mean of microarray intensities was used to distinguish between organ-specific and constitutively expressed genes. Accordingly, the genes are classified into highly variable, variable, and constitutive groups. To isolate the organ-specific promoters, several genes were selected and validated in planta using reporter gene analysis. We found that the Os01g0702500, Os11g0211800, and Os01g0257300 promoters were active in the calli, germinating seeds, and roots, respectively. The Os08g0135500 promoter was shown to drive transgene expression in various organs of the mature flowers, such as the anther, lemma, and palea, whereas the Os03g0369100 promoter was only active in the anther. Lastly, the Os09g0553100 promoter induced high levels of reporter gene expression in all organs. The gene expression data from representative organs could put a frame work for large dataset collections and then subsequent profiling by subdivision of organ/tissues might be more efficient to find appropriate promoters. A total of 14 chips were used for microarray. Total RNAs were extracted from rice 7 tissues or organs of Oryza sativa L. cv. Dongjin including calli, regenerating calli, germinating seeds, leaves, roots, and flowers (before and after pollination. Experiments were duplicated.
Project description:Investigation on expression levels of normal tissue from prostate cancer patients on locus 8q24. The region chr8:127640000-129120000 is tiled with isothermal probes (hg17) 7 chip study, using 7 independent samples.
Project description:Investigation on expression levels of normal tissue from prostate cancer patients on locus 8q24. 3 chips with 3 arrays each study, using 3 pairs of normal vs. tumor tissue and 3 replicates of the same sample. Each chip contained one pair of normal vs. tumor and one copy of the repeated sample.
Project description:Investigation on expression levels of normal tissue from prostate cancer patients on locus 8q24. The region chr8:127640000-129120000 is tiled with 60 nt probes at 10 nt interval (hg18) 7 chip study, using 7 independent samples.
Project description:Embryonic stem cells (ESCs) and induced-pluripotent stem cells (iPSCs) self-renew and differentiate into an array of cell types in vitro and in vivo. A complex network of genetic and epigenetic pathways regulates the self-renewal and differentiation of these pluripotent cells, and the structure and covalent modifications of chromatin play a prominent role in this process. We examine nucleosome occupancy in mouse and human embryonic stem cells (ESCs), induced-pluripotent stem cells (iPSCs), and differentiated cell types using MNase-seq. To address variability inherent in this technique, we developed a bioinformatic approach that enabled the identification of regions of difference (RoD) in nucleosome occupancy between pluripotent and somatic cells. The majority of changes in nucleosomal signatures that occur in differentiation are reset during reprogramming. We conclude that changes in nucleosome occupancy are a hallmark of pluripotency and likely identify key regulatory regions that play a role in determining cell identity. A six chip study using total RNA recovered from three cell types with 2 replicates each
Project description:For identification of genes up-regulated in abiotic stress (drought, high salinity, low temperature and ABA) treated rice, total RNA (100 ?g) was prepared from root tissues of 14-d-old rice seedlings (Oryza sativa cv Nakdong) grown under normal growth conditions. For the high salinity and ABA treatments, the 14-d-old seedlings were transferred to a nutrient solution containing 400 mM NaCl or 100 ?M ABA for 2 h in the greenhouse under continuous light of approximately 1000 ?mol m-2 s -1. For drought treatment, 14-d-old seedlings were air-dried for 2 h also under continuous light of approximately 1000 ?mol m-2 s -1. For low temperature treatments, 14-d-old seedlings were exposed at 4°C in a cold chamber for 6 h under continuous light of 150 ?mol m-2 s -1. Expression profiling was conducted using a Rice 3’-Tiling Microarray. Information on the microarray can be found at http://www.ggbio.com (GreenGene Biotech). The Rice 3’-Tiling Microarray was designed from 27,448 genes deposited at IRGSP, RAP1 database (http://rapdb.lab.nig.ac.jp). Among these, 20,507 genes were from representative RAP1 sequences with cDNA/EST supports and 6,941 genes were predicted without cDNA/EST supports. Ten 60-nt long probes were designed from each gene starting 60 bp ahead the end of stop codon with 10 bp shifts in position so that 10 probes covered 150 bp in the 3' region of the gene. In total, 270,000 probes were designed (average size, 60-nt) to have Tm values of 75 to 85 °C. The microarray was manufactured by NimbleGen Inc. (http://www.nimblegen.com/). Random GC probes (38,000) were used to monitor the hybridization efficiency and fiducial markers at the four corners (225) were included to assist with overlaying the grid on the image. The microarray was used to profile gene expression in abiotic stress treated rice. Cy3-labeled target cDNA fragments were synthesized using a Cy3-9mer primer. For normalization, data were processed with cubic alpine normalization using quartiles to adjust signal variation between chips and with Rubust Multi-Chip Analysis using a median polish algorithm implemented in NimbleScan (Workman et al., 2002; Irizarry et al., 2003). To assess the reproducibility of the microarray analysis, we repeated the experiment three times with independently prepared total RNAs.
Project description:Investigation of whole genome gene expression level changes of LncRNAs in tumor tissues and paired non-tumor tissues in HBV-positive hapatocellular carcinoma. The different expression genes were further analysised. The human LncRNA microarray analysis of the 10 samples (5 non-tumor tissues and 5 paired tumor tissues) were completed. Total RNA from each sample was quantified using the NanoDrop ND-1000 and RNA integrity was assessed using standard denaturing agarose gel electrophoresis. Total RNA of each sample was used for labeling and array hybridization as the following steps: 1) Reverse transcription with by Invitrogen Superscript ds-cDNA synthesis kit; 2) ds-cDNA labeling with NimbleGen one-color DNA labeling kit; 3) Array hybridization using the NimbleGen Hybridization System and followed by washing with the NimbleGen wash buffer kit; 4) Array scanning using the Agilent Scanner G2505C. Scanned images (TIFF format) were then imported into NimbleScan software (version 2.5) for grid alignment and expression data analysis. Expression data were normalized through quantile normalization and the Robust Multichip Average (RMA) algorithm included in the NimbleScan software. The Probe level (*_norm_RMA.pair) files and mRNA level (*_RMA.calls) files were generated after normalization. All mRNAs level files were imported into Agilent GeneSpring GX software (version 11.5.1) for further analysis.mRNAs that at least 3 out of 6 samples have values greater than or equal to lower cut-off: 50.0 (“All Targets Value”) were chosen for further data analysis. Differentially expressed mRNAs were identified through Volcano Plot filtering. Pathway analysis and GO analysis were applied to determine the roles of these differentially expressed mRNAs played in these biological pathways or GO terms. Finally, Hierarchical Clustering was performed to show the distinguishable mRNAs expression pattern among samples.
Project description:For identification of genes up-regulated in RCc3:OsNAC5, GOS2:OsNAC5 plants, total RNA (100 μg) was prepared from root tissues of 14-d-old transgenic and non-transgenic rice seedlings (Oryza sativa cv Nipponbare) grown under normal growth conditions. Expression profiling was conducted using a Rice 3’-Tiling Microarray. Information on the microarray can be found at http://www.ggbio.com (GreenGene Biotech). The Rice 3’-Tiling Microarray was designed from 27,448 genes deposited at IRGSP, RAP1 database (http://rapdb.lab.nig.ac.jp). Among these, 20,507 genes were from representative RAP1 sequences with cDNA/EST supports and 6,941 genes were predicted without cDNA/EST supports. Ten 60-nt long probes were designed from each gene starting 60 bp ahead the end of stop codon with 10 bp shifts in position so that 10 probes covered 150 bp in the 3' region of the gene. In total, 270,000 probes were designed (average size, 60-nt) to have Tm values of 75 to 85C. The microarray was manufactured by NimbleGen Inc. (http://www.nimblegen.com/). Random GC probes (38,000) were used to monitor the hybridization efficiency and fiducial markers at the four corners (225) were included to assist with overlaying the grid on the image. The microarray was used to profile gene expression in RCc3:OsNAC5, GOS2:OsNAC5 and Non-transgenic plants. Cy3-labeled target cDNA fragments were synthesized using a Cy3-9mer primer. For normalization, data were processed with cubic alpine normalization using quartiles to adjust signal variation between chips and with Rubust Multi-Chip Analysis using a median polish algorithm implemented in NimbleScan (Workman et al., 2002; Irizarry et al., 2003). To assess the reproducibility of the microarray analysis, we repeated the experiment three times with independently prepared total RNAs.
Project description:A significant percentage of HIV-infected individuals experience a sharp decline in CD4+ T cell counts and progress to AIDS quickly after primary infection. Identification of biomarkers distinguishing rapid progressors (RPs) versus chronic progressors (CPs) is critical for early clinical intervention and could provide novel strategies to facilitate vaccine design and immune therapy. mRNA and miRNA expression profiles in the peripheral blood mononuclear cells (PBMCs) of RPs and CPs were investigated at 111±22 days (Mean±SD) of HIV infection. The association of mRNA and miRNA expression with disease progression was examined by receiver operating characteristic analysis and Kaplan-Meier survival analysis. Pathway enrichment analysis showed that genes with deregulated expression in RPs are primarily involved in apoptosis pathways. Furthermore, we found that 5 miRNAs (miR-31, -200c, -526a, -99a and -503) in RPs were significantly decreased compared to those in CPs (P<0.05). The decreased expression of these miRNAs was associated with rapid disease progression of HIV infection with a 94% predictive value as measured by the area under the curve. The upregulated predicted targets from the 5 signature miRNAs and all upregulated genes identified from mRNA microarray converged to the apoptosis pathway. Moreover, overexpression of miR-31 in primary human T cells promoted their survival. Our results have identified a distinct transcriptomic signature in PBMCs of RPs and provided novel insights to the pathogenesis of HIV infection. A cohort of primary HIV infected individuals with different disease outcome were enrolled in this study. We included 6 individuals with rapid disease progression (RP), seven with chronic disease progression (CP). The HIV infected individuals were never on therapy before the time of sample taken.