Karyotype analysis of S. cerevisiae chromosome replacement lines - a-type cells
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ABSTRACT: The S. cerevisiae hybrid karyotypes were analyzed by array-CGH to identify small regions of duplication or homeologous chromosomal exchange occurring during the strain construction. a-type cells. S. cerevisiae vs. Chromosome replacement lines. Biological replicates: 1 control (S. bayanus), 11 Chromosome replacement lines, independently grown and harvested. Two replicate per array.
Project description:The S. cerevisiae hybrid karyotypes were analyzed by array-CGH to identify small regions of duplication or homeologous chromosomal exchange occurring during the strain construction. alpha-type cells. S. cerevisiae vs. Chromosome replacement lines. Biological replicates: 1 control (S. bayanus), 11 Chromosome replacement lines, independently grown and harvested. Two replicate per array.
Project description:This SuperSeries is composed of the following subset Series: GSE12775: Karyotype analysis of S. cerevisiae chromosome replacement lines - a-type cells GSE12776: Karyotype analysis of S. cerevisiae chromosome replacement lines - alpha-type cells Refer to individual Series
Project description:The EC strain karyotype was analyzed by array-CGH to identify amplified chromosomal regions. EC9 was chosen as the representative strain of EC-C1 strain
Project description:The genomic DNA of rearranged chromosome VIII (~900kb) of EC9 diploid strain was extracted from the gel of pulsed field gel electrophoresis (PFGE), and analyzed by array-CGH to identify it's amplified regions After PFGE, The ChrVIII DNA was purified from agarose gel and purified by column. Then the DNA was amplified by GenomePlex Whole Genome Amplification Kit for Array-comparative genomic hybridization.
Project description:The expression profile of natural isolate of S. cerevisiae carrying different copy of CUP2 were compared under cooper sulfate stress The gene expression profiles of natural isolate of S.cerevisiae(EC9-7), EC9-7 cup2∆ and Ec9-7 cup2∆cup2∆ strains under YPD with 1mM copper sulfate for 1h and rich medium(YPD) were compared.
Project description:The genomic DNA of wild-type chromosome VIII of evolved EC9-7 cells was extracted from the gel of pulsed field gel electrophoresis (PFGE), and analyzed by array-CGH to identify its chromosomal composition Yeast genomic DNA was extracted using QIAGEN Genomic-tip 100/G kit. After PFGE, The ChrVIII DNA was purified from agarose gel and purified by column. Then the DNA was amplified by GenomePlex Whole Genome Amplification Kit.
Project description:To understand the extent that Heat shock protein 90 (Hsp90) regulated its target proteins at the transcription level, transcriptomic change was profiled in yeast cells upon Hsp90 compromising. We genetically modified the R1158 strain (resulting genotype of mutant strain: TETp-HSC82 hsp82Δ arg4Δ lys5Δ car2Δ::URA3) and then reduced the Hsp90 amount with doxycycline treatment. Fold change of mRNA from untreated to treated cells indicated the transcriptomic change. Totally, we identified 1104 genes mis-regulated with a fold change of no less than 1.5 (P <0.05) upon Hsp90 compromising. Two-condition experiment, treated vs. untreated cells. Biological duplicates, independently grown and harvested. Technical triplicates for RNA isolation.
Project description:EZH2 plays an important role in stem cell renewal and maintenance by inducing gene silencing via its histone methyltransferase activity. EZH2 downregulation markedly enhances neuron differentiation of human mesenchymal stem cells (hMSCs)chromatin at promoters of EZH2 target genes. comparison of knockdown EZH2 of hMSCs vs hMSCs
Project description:Ambient temperature affects organisms comprehensively, however cold responses are different among tissues. Here, we adopt a transcript screening approach to explore and compare the cold responses in zebrafish gills and brain. Zebrafish were exposed to cold and the oligonucleotide-based microarray was used to identify cold-induced genes. Principle component analysis (PCA) of the gene expression profiles indicated that gills develop different strategies for the increasing of exposure period while brain relatively remained stable. Combining statistic and clustering methods, we found that gills showed higher protein metabolism and cell activity while brain showed higher stress responses and detoxification during cold acclimation. According to the microarray data sets, we extended the study on ionocyte- and isotocin neuron-related genes in gills and brain, respectively, and found these genes were broadly stimulated by cold. These data suggest that cold activates specific physiological functions in different tissues. Taken together, our results provide molecular evidences to elucidate the cold acclimation in zebrafish gills and brain. Keywords: Time course, Tissue types After the low-temperature treatment, brain and gill tissues dissected from 10 individuals were pooled as a sample and then homogenized in 0.8 ml Trizol reagent (Invitrogen, Carlsbad, CA). 120 individuals (60 for low-temperature treatment and 60 for control) were sacrificed for each microarray hybridization experiment, and another 200 individuals were used for quantitative reverse-transcription polymerase chain reaction. After chloroform extraction, RNA precipitation and ethanol washing, the RNA samples were purified and treated with DNase1 to remove the genomic DNA by using RNeasy Mini Kit (Qiagen, Huntsville, Alabama). The quantity and quality of total RNA were assessed by spectrophotometry and Bioanalyzer (Aglient Technologies, Foster City, CA). The commercial zebrafish 14K oligonucleotides set (MWG Biotech AG, Ebersbach, Germany) were obtained and were printed on UltraGAPS Coated slide (Corning, New York, NY ) with use of the OmniGrid 100 microarrayer (Genomic Solutions, Ann Arbor, MI) according to the manufactureâ??s instructions. The 14,067 oligonucleotides represent 9666 genes (7009 singlet genes and 2657 redundant genes), and the redundancy of this chip is 31 %. The detailed description of the oligonucleotides information can be obtained on the Ocimun Biosolution website. cDNA probes were synthesized and purified by reverse transcription of 20 μg total RNA using a SuperScript indirect cDNA labeling system (Invitrogen) and MinElute PCR purification kit (Qiagen) and were labeled with Alexa 647 dye (cold treatment groups) and Alexa 555 dye (control groups)(Invitrogen), respectively. The zebrafish 14K OciChip array chip was pretreated with 1% bovine serum albumin (BSA) (fraction V), 4x saline-sodium citrate (SSC), and 1% sodium dodecylsulfate (SDS) at 42 °C for 45 min, and then hybridized overnight in a cocktail containing 5x Denhardt's solution, 6x SSC, 0.5% SDS, 50% formamide, 50 mM sodium phosphate, and 2 µg/µl yeast tRNA. Slides were washed with 2x SSC and 0.1% SDS (5 min), 1x SSC and 0.1% SDS (5 min), 0.5x SSC (5 min), and twice with 0.1x SSC (2 min each). Scanning was performed with a Genepix scanner (Molecular Devices, Sunnyvale, CA). The acquired images were analyzed using Genepix and Genespring software (Aglient Technologies, Foster City, CA). The measurements of spots were filtered by flags, and the Lowess normalization was performed after subtraction of the median background. Each experiment contained 3 biological replicates (including 1 dye swap) with different samples. The differentially expressed genes were selected from those with at least 2 of 3 significant signals (ratio > 2 or < 0.5), and then the Significant Analysis of Microarray method (SAM 3.02) was used to determine statistical significances.
Project description:Integrating omics data with quantification of biological traits provides unparalleled opportunities for discovery of genetic regulators by in silico inference. However, current approaches to analyze genetic-perturbation screens are limited by their reliance on annotation libraries for prioritization of hits and subsequent targeted experimentation. Here, we present iTARGEX (identification of Trait-Associated Regulatory Genes via mixture regression using EXpectation maximization), an association framework with no requirement of a priori knowledge of gene function. After creating this tool, we used it to test associations between gene expression profiles and two biological traits in single-gene-deleted budding yeast mutants, including transcription homeostasis during S phase and global protein turnover. For each trait, we discovered novel regulators without prior functional annotations. The functional effects of the novel candidates were then validated experimentally, providing solid evidence for their roles in the respective traits. Hence, we conclude that iTARGEX can reliably identify novel factors involved in given biological traits. As such, it is capable of converting genome-wide observations into causal gene function predictions. Further application of iTARGEX in other contexts is expected to facilitate the discovery of new regulators and provide observations for novel mechanistic hypotheses regarding different biological traits and phenotypes.