Microarray analysis of Xenopus tRNA isoacceptor families, RNA Polymerase III target genes and selected mRNAs in whole control embryos or embryos overexpressing the Polymerase III subunit Polr3G at NF stage 9
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ABSTRACT: Embryos were injected at the 1 or 2 cell stage with 2ng of Polr3G mRNA. Embryos were grown alongside batch controls to NF stage 9 in order to determine immediate changes in transcription of tRNAs at Midblastula Transition. Through inclusion of selected developmental regulatory mRNAs, we aimed to use this data to investigate the relationship between any codon bias in highly expressed mRNAs with expression of their matching tRNA isoacceptors.
Project description:Animal poles of 1 to 2-cell stage embryos were injected with a cocktail containing 5pg of Fgf4 and 50pg wnt8 mRNA. Embryos were grown alongside batch controls to NF stage 8/9. Animal cap explants were dissected from the embryos and grown overnight in NAM alongside whole embryo controls as a means of staging. At NF stage 25, caps were collected for microarray analysis. Custom microarrays containing sequences for Xenopus tRNA and RNA Polymerase III gene families as well as selected mRNAs were used to detect changes in transcription at this stage in response to induction of myogenic differentiation. We aimed to use this data to investigate the relationship between any codon bias in highly expressed mRNAs with expression of their matching tRNA isoacceptors in response to a specific differentiation programme.
Project description:Embryos were injected at the 1 or 2 cell stage with 2ng of Polr3G or Polr3gL mRNA. Embryos were grown alongside batch controls to NF stage 25 and dorsal embryonic segments were dissected to enrich for myogenic tissue. Through inclusion of selected developmental regulatory mRNAs, we aimed to use this data to investigate the relationship between any codon bias in highly expressed mRNAs with expression of their matching tRNA isoacceptors in myogenic lineages and how this changes in response to overexpression of these subunits.
Project description:The prognosis of children with metastatic stage 4 neuroblastoma (NB) has remained poor in the past decade. Using microarray analyses of 342 primary tumors, we here developed and validated an easy to use gene expression-based risk score including 18 genes, which can robustly predict the outcome of stage 4 patients. This classifier was a significant predictor of overall survival in two independent validation cohorts (cohort 1 (n=214): P=6.3x10-5; cohort 2 (n=27): P=3.1x10-2). The prognostic value of the risk score was validated by multivariate analysis including the established markers age and MYCN status (P=0.027). In the pooled validation cohorts (n=241), integration of the risk score with the age and/or MYCN status identified subgroups with significantly differing overall survival (ranging from 35% to 100%). Together, the 18-gene risk score classifier can identify patients with stage 4 NB with favorable outcome and may therefore improve risk assessment and treatment stratification of NB patients with disseminated disease. We analyzed expression profiling arrays of 27 Tumor samples from stage 4 neuroblastoma patients.
Project description:affy_rice_2012_01 - ovation - One of the key questions for future agriculture will be to save agronomical relevant biodiversity. To do so, it is important to select the best crop cultivars that will germinate efficiently (good seed vigor) and for a long period of time (good seed longevity). Surprisingly, while mankind rely heavily on cereals, very few studies have identified genes positively related to cereal seed vigor and longevity. To close this scientific gap, we aimed to identify genes positively involved in rice seed vigor and longevity. We thus used a “controlled deterioration treatment (Tesnier et al., 2002) to mimic natural seed ageing. Seeds are first equilibrated at 25°C and 85% relative hygrometry during three days. Then, during 15 days, three different batch of seeds are either (i) kept at 25°C and 85% RH (control seeds), (ii) placed at 40°C and 85% RH (loss of seed vigor) or (iii) placed at 45°C and 85% RH (loss of germination capacity). Finally, seeds are equilibrated at 25°C and 32% RH during three days. Using this CDT treatment, we obtained rice seeds with contrasted seed vigor or germination capacity. We extracted the total RNA from the embryos and we analysed their transcriptome using the Affymetrix Rice Genome Array.-We applied a Controlled Deterioration Treatment (CDT) to seeds from the reference rice cultivar Nipponbare. First, all seeds are equilibrated at 25°C and 85% relative hygrometry. Then, depending on the treatment, seeds are placed at 25, 40 or 45°C in 85% relative hygrometry before being finally equilibrated at 25°C and 32% relative hygrometry. The germination of the three seed batches was measured during five days with one measure every 8h. Seeds placed at 25°C during the whole experiment were similar to control seeds kept in the fridge and germinated at nearly 100% in 48h. Seeds placed at 40°C during 15 days germinate at 74% but show altered seedling phenotypes (loss of seed vigor). Finally, seeds placed at 45°C do not germinate. 6 arrays - rice; treated vs untreated comparison
Project description:Ewing Sarcoma is caused by a pathognomonic genomic translocation that places an N-terminal EWSR1 gene in approximation with one of several ETS genes (typically FLI1). This aberration, in turn, alters the transcriptional regulation of more than five hundred genes and perturbs a number of critical pathways that promote oncogenesis, cell growth, invasion, and metastasis. Among them, translocation-mediated up-regulation of the insulin-like growth factor receptor 1 (IGF-1R) and mammalian target of rapamycin (mTOR) are of particular importance since they work in concert to facilitate IGF-1R expression and ligand-induced activation, respectively, of proven importance in ES transformation. When used as a single agent in Ewing sarcoma therapy, IGF-1R or mTOR inhibition leads to rapid counter-regulatory effects that blunt the intended therapeutic purpose. Therefore, identify new mechanisms of resistance that are used by Ewing sarcoma to evade cell death to single-agent IGF-1R or mTOR inhibition might suggest a number of therapeutic combinations that could improve their clinical activity. Male non-obese diabetic (NOD)-SCID-IL-2Rgnull mice were used to generate EW5 explants (2 mm). Mice bearing subcutaneous tumors were randomized into treatment and control groups when their tumors reached a diameter of 6 mm and received ridaforolimus (MK-8669, mTOR inhibitor, 5mg/kg per dose, once weekly), dalotuzumab (MK-0646, IGF-1R inhibitor monoclonal antibody, 0.5mg IP twice weekly), a placebo control (sterile buffer) or a combination of both treatments. Animals were treated either until their tumors reached 1500 mm3 in volume. RPPA profiling of EW5 xenografts treated in vivo either with MK-0646, MK-8669, control and combination and compared each other were performed simultaneously using the same array. Lysates were processed, spotted onto nitrocellulose-coated FAST slides, probed with 179 validated primary antibodies, and detected using a DakoCytomation-catalyzed system with secondary antibodies. MicroVigene software program (VigeneTech) was used for automated spot identification, background correction, and individual spot-intensity determination. Expression data was normalized for possible unequal protein loading, taking into account the signal intensity for each sample for all antibodies tested. Log2 values were media-centered by protein to account for variability in signal intensity by time and were calculated using the formula log2 signal â log2 median. Principal component analysis was used to check for a batch effect and feature-by-feature two-sample t-tests were used to assess differences between treatment and control groups. We also used feature-by-feature one-way analysis of variance (ANOVA) followed by the Tukey test to perform pair comparisons for all groups. Beta-uniform mixture models were used to fit the resulting p value distributions to adjust for multiple comparisons. The cutoff p values and number of significant proteins were computed for several different false discovery rates (FDRs). Biostatistical analyses comparing two groups were performed using an unpaired t-test with Gaussian distribution followed by the Welch correction. To distinguish between treatment groups, we used one-way ANOVA with the Geisser-Greenhouse correction. Differences with p values <0.05 were considered significant. Within clustered image maps (CIM), unsupervised double hierarchical clustering used the Pearson correlation distance and Wardâs linkage method as the clustering algorithm to link entities (proteins or genes) and samples.
Project description:Nuclear pores associate with active protein-coding genes in yeast and have been implicated in transcriptional regulation. Here, we show that in addition to transcriptional regulation, key components of C. elegans nuclear pores are required for processing of a subset of small nucleolar RNAs (snoRNAs) and tRNAs transcribed by RNA Polymerase (Pol) III. Chromatin immunoprecipitation of NPP-13 and NPP-3, two integral nuclear pore components, and importin-M-CM-^_ IMB-1, provides strong evidence that this requirement is direct. All three proteins associate specifically with tRNA and snoRNA genes undergoing Pol III transcription. These pore components bind immediately downstream of the Pol III pre-initiation complex, but are not required for Pol III recruitment. Instead, NPP-13 is required for cleavage of tRNA and snoRNA precursors into mature RNAs, whereas Pol II transcript processing occurs normally. Our data suggest that integral nuclear pore proteins act to coordinate transcription and processing of Pol III transcripts in C. elegans. Genome-wide ChIP-seq and ChIP-chip were performed in mixed-stage C. elegans embryos for nuclear pore proteins NPP-13, NPP-3, IMB-1 and chromatin proteins Pol III (RPC-1), TBP-1, TFC-1 (SFC-1), TFC-4 (TAG-315), and Pol II (AMA-1). For RPC-1 and TBP-1 ChIP-seq, embryos depleted for NPP-13 were also used. Total RNAs from wild-type, NPP-13 RNAi, and IMB-1 RNAi embryos were analyzed by RNA-seq.
Project description:Purpose: Characterization of the target genes of two versions of the Polymerase III (pol III), one containing POLR3G subunit or POLR3GL subunit, in different tissues. Methods: We performed ChIP_seq of POLR3D and the two variants subunits, POLR3G and POLR3GL in Human IMR90 cells, Mouse liver and Mouse Hepatocarcinoma Hepa 1-6 cells in order to locate and analyse total pol III, POLR3G and POLR3GL-containing pol III in various tissues. Results: We show that POLR3G- as well as POLR3GL-containing pol III are present in cultured cell lines and in normal mouse liver, although the relative amounts of the two forms vary, with the POLR3G-containing pol III relatively more abundant in dividing cells. Both forms of pol III occupy the same target genes, in very constant proportions within one cell line, suggesting that the two forms of pol III have similar function with regard to specificity for target genes. Conclusions: POLR3G and POLR3GL occupy the same target genes, but they are differentially expressed under different conditions and in different cell types. Pol III target genes in human IMR cells, Mouse liver, and Mouse Hepatocarcinoma cells were identified by chromatin Immuno-precipitation followed by deep sequencing using Illumina HiSeq. For Human IMR90 cells, we used antibodies against POLR3D, POLR3G, POLR3GL and BDP1. For Mouse data, we targeted POLR3D, POLR3G and POLR3GL and did ChIP_seq replicates. We also sequenced the corresponding inputs (crosslinked DNA of IMR90 cells, Mouse liver, and Mouse Hepatocarcinoma cells). This represents a total of 20 samples.
Project description:Ewing Sarcoma is caused by a pathognomonic genomic translocation that places an N-terminal EWSR1 gene in approximation with one of several ETS genes (typically FLI1). This aberration, in turn, alters the transcriptional regulation of more than five hundred genes and perturbs a number of critical pathways that promote oncogenesis, cell growth, invasion, and metastasis. Among them, translocation-mediated up-regulation of the insulin-like growth factor receptor 1 (IGF-1R) and mammalian target of rapamycin (mTOR) are of particular importance since they work in concert to facilitate IGF-1R expression and ligand-induced activation, respectively, of proven importance in ES transformation. When used as a single agent in Ewing sarcoma therapy, IGF-1R or mTOR inhibition leads to rapid counter-regulatory effects that blunt the intended therapeutic purpose. Therefore, identify new mechanisms of resistance that are used by Ewing sarcoma to evade cell death to single-agent mTOR inhibition might suggest a number of therapeutic combinations that could improve its clinical activity. TC32 and TC71 ES clones with acquired resistance to ridaforolimus (MK8669, mTOR inhibitor) were generated by maintaining the corresponding parental cell lines with increasing concentrations of the agents (up to 50 μM using ridaforolimus) for 7 months. All parental and acquired drug resistant cell lines were tested twice per year for mycoplasma contamination using the MycoAlert Detection Kit (Lonza Group Ltd.) according to the manufacturerâ??s protocol and validated using short-tandem repeat fingerprinting with an AmpFLSTR Identifier kit as previously described. Herein, we determine subtle differences in acquired mechanism of resistance by promising small molecule inhibitor of mTOR, were evaluated using in vitro assays to decipher the mechanism(s) by which IGF-1R inhibition induces drug resistance in Ewing sarcoma cells. The preparation of extracted proteins from sensitive and acquired resistant Ewing sarcoma cells to ridaforolimus for reverse-phase protein lysate array (RPPA) analysis were prepared using the same array. Lysates were processed, spotted onto nitrocellulose-coated FAST slides, probed with 115 validated primary antibodies, and detected using a DakoCytomation-catalyzed system with secondary antibodies. MicroVigene software program (VigeneTech) was used for automated spot identification, background correction, and individual spot-intensity determination. Expression data was normalized for possible unequal protein loading, taking into account the signal intensity for each sample for all antibodies tested. Log2 values were media-centered by protein to account for variability in signal intensity by time and were calculated using the formula log2 signal â?? log2 median. Principal component analysis was used to check for a batch effect and feature-by-feature two-sample t-tests were used to assess differences between sensitive and resistant cell lines to drug treatments. We also used feature-by-feature one-way analysis of variance (ANOVA) followed by the Tukey test to perform pair comparisons for all groups. Beta-uniform mixture models were used to fit the resulting p value distributions to adjust for multiple comparisons. The cutoff p values and number of significant proteins were computed for several different false discovery rates (FDRs). Biostatistical analyses comparing two groups were performed using an unpaired t-test with Gaussian distribution followed by the Welch correction. To distinguish between treatment groups, we used one-way ANOVA with the Geisser-Greenhouse correction. Differences with p values <0.05 were considered significant. Within clustered image maps (CIM), unsupervised double hierarchical clustering used the Pearson correlation distance and Wardâ??s linkage method as the clustering algorithm to link entities (proteins) and samples.
Project description:Transcriptional profiling of mouse cortex tissue comparing control animals with Gtf2i-mutated mouse (Gtf2i+/Δex2 ). Goal was to determine the specific deregulated genes in the cortex of mutated animals. Pools of total RNA derived from five-three mice of each genotype were subjected to microarray analysis. We compared pools instead of single individuals in order to minimize individual and technically-related variation. The original raw data file (i.e. Agilent feature extraction files) are not available. The modified raw data files are provided along with the file contents description (raw_data_readme.txt available on Series records).
Project description:Many regulatory proteins and complexes have been identified which influence transcription by RNA polymerase (pol) II with a fine precision. In comparison, only a few regulatory proteins are known for pol III, which transcribes mostly house-keeping and non-coding RNAs. Yet, pol III transcription is precisely regulated under various stress conditions like starvation. We used proteomic approaches and pol III transcription complex components TFIIIC (Tfc6), pol III (Rpc128) and TFIIIB (Brf1) as baits to find identify the potential interactors through mass spectrometry-based proteomics. A large number of proteins were found in the interactome, which includes known chromatin modifiers, factors and regulators of transcription by pol I and pol II.