Project description:The goal of this study is to compare gene expression data for a well known model organism (Escherichia coli) using different technologies (NGS here, microarray from GSE48776). mRNA profiles of Wild Type and two Mutant Strains (ydcR (b1439) MUTANT and yjiR (b4340) MUTANT), growth in minimal medium, were generated by deep sequencing, in triplicate, using Illumina MiSeq.
Project description:Direct mRNA counting of 154 DNA repair and cell-cycle genes in a cohort of paired GBM patients using the nCounter technology (Nanostring)
Project description:To fully characterize the extent of genomic changes in senescent silk, we performed a time-course tissue harvesting. Material was collected at four time points: 3-, 7-, 11- and 15 days after silk emergence (DASE). Maize inbred line B104; 2 cm of basal part of silk from rings 6-10
Project description:To understand how the NAC transcription factor KIL1 regulates age-induced senescence and cell death in maize silks, we need to get a genome-wide view on its downstream targets. We propose to compare the transcriptome profiles of GOF and LOF transgenic silk tissue with the profile of wild-type B104 silk. 1 cm of basal part of silk from rings 6-10 from plants harboring the dominant-negative repressor proSILK1:KIL1-SRDX, proSILK1:KIL1 overexpressing line, and wild type B104 will be harvested at 11 DASE. This will allow to compare and contrast the expression profiles of KIL1 LOF and GOF mutants with transcriptome data derived from wild type senescent silk.
Project description:RNA sequencing on the third true leaves of two Arabidopsis natural accessions (ICE163 and Yeg-1) exposed to mild drought stress which was initiated from 6 days after stratification onwards. Samples were harvested at 6 PM on day 11.
Project description:Reactive oxygen species (ROS) are key signalling molecules that regulate growth and development and coordinate responses to biotic and abiotic stresses. ROS homeostasis is controlled through a complex network of ROS production and scavenging enzymes. Recently, the first genes involved in ROS perception and signal transduction have been identified and, currently, we are facing the challenge to uncover the other players within the ROS regulatory gene network. The specificity of ensuing cellular responses depends on the type of ROS and their subcellular production sites. Various experimental systems, including catalase-deficient plants, in combination with genome-wide expression studies demonstrated that increased hydrogen peroxide (H2O2) levels significantly affect the transcriptome of plants and are capable of launching both defence responses and cell death events. We used microarrays to assess differential gene expression provoked by H2O2 from plastid or peroxisomal origin, respectively. Columbia-0 (Col-0, wild type), catalase-deficient Salk plants (10-15% of wild-type catalase activity; cat2-2; N576998; (Queval et al., 2007)) and A. thaliana plants expressing glycolate oxidase in chloroplasts (GO5 plants; (Fahnenstich et al., 2008)) were grown in soil under a 16h light/8h dark regime at photosynthetically active photon flux densities (PPFD) of 75 µmol quanta m-2 s-1 at 22°C day/18°C night temperatures and a CO2 concentration of 3,000 ppm. After three weeks of growth, plants were transferred to ambient CO2 concentration (380 ppm) and the same PPFD. Whole rosettes were harvested at 0h and 8h after transfer. Control samples were harvested at 8 h from plants continuously maintained in high CO2.
Project description:Cancer cells have abnormal gene expression patterns, however, the transcription factors and the architecture of the regulatory network that drive cancer specific gene expression profiles is often not known. Here we studied a model of Ras-driven invasive tumorigenesis in Drosophila larval epithelial tissues and combined in vivo genetic analyses with high-throughput sequencing and computational modeling to decipher the regulatory logic of tumor cells. Surprisingly, we discovered that tumor specific gene expression is driven by a highly interconnected network composed of few transcription factors. These are: Stat, Mef2, the AP-4 homolog Cropped, the nuclear receptor Ftz-f1, the bHLH factors Myc and Taiman, and the AP-1 transcription factors Kayak, ATF-3, Pdp1, and dCEBPG. Many of these transcription factors are ectopically expressed and/or hyperactivated in human tumors. The members of this tumor master regulatory network are predicted to directly regulate the majority of the tumor specific gene expression profile. Similar to networks of master regulators that control organ development and cellular differentiation, there is a predicted high degree of co-regulation of target genes, and these network members are required in multiple eptihelia for tumor growth and invasiveness. We further found that Yki/Sd and bZIP/AP-1 factors, the downstream transcription factors of the Hippo and JNK pathways, initiate cellular reprogramming by activating several transcription factors of this network. Thus, modeling regulatory networks identified an ectopic yet highly ordered network of master regulators that control cancer cell specific gene expression. RNA-seq gene expression profiling across Drosophila 3rd instar larval imaginal discs (eye-antenna, wing and leg) in a hh driven tumor model, perturbations and controls.
Project description:The human gut microbiota is an important metabolic organ, yet little is known about how its individual species interact, establish dominant positions, and respond to changes in environmental factors such as diet. In this study, gnotobiotic mice were colonized with an artificial microbiota comprising 12 sequenced human gut bacterial species and fed oscillating diets of disparate composition. Rapid, reproducible, and reversible changes in the structure of this assemblage were observed. Time-series microbial RNA-Seq analyses revealed staggered functional responses to diet shifts throughout the assemblage that were heavily focused on carbohydrate and amino acid metabolism. High-resolution shotgun metaproteomics confirmed many of these responses at a protein level. One member, Bacteroides cellulosilyticus WH2, proved exceptionally fit regardless of diet. Its genome encoded more carbohydrate active enzymes than any previously sequenced member of the Bacteroidetes. Transcriptional profiling indicated that B. cellulosilyticus WH2 is an adaptive forager that tailors its versatile carbohydrate utilization strategy to available dietary polysaccharides, with a strong emphasis on plant-derived xylans abundant in dietary staples like cereal grains. Two highly expressed, diet-specific polysaccharide utilization loci (PULs) in B. cellulosilyticus WH2 were identified, one with characteristics of xylan utilization systems. Introduction of a B. cellulosilyticus WH2 library comprising >90,000 isogenic transposon mutants into gnotobiotic mice, along with the other artificial community members, confirmed that these loci represent critical diet-specific fitness determinants. Carbohydrates that trigger dramatic increases in expression of these two loci and many of the organism’s 111 other predicted PULs were identified by RNA-Seq during in vitro growth on 31 distinct carbohydrate substrates, allowing us to better interpret in vivo RNA-Seq and proteomics data. These results offer insight into how gut microbes adapt to dietary perturbations at both a community level and from the perspective of a well-adapted symbiont with exceptional saccharolytic capabilities, and illustrate the value of artificial communities. 611 samples total (221 from experiment 1, 390 from experiment 2). Evaluation of changes in an artificial gut community's structure over time as a result of dietary oscillation.
Project description:Bile acids play multiple roles in vertebrate metabolism by facilitating lipid absorption in the intestine and acting as a signaling molecule in lipid and carbohydrate metabolism. Bile acids are also the main route to excrete excess cholesterol out of the body. Alpha-methyl-Coa racemase (Amacr) is one of the enzymes needed to produce bile acids from cholesterol. The mouse model lacking Amacr can produce only minor (less than 10%) amounts of bile acids, but still they are symptomless in normal laboratory conditions. Bile acid synthesis occurs in liver. In this experiment, liver samples from Amacr-/- and wild-type mice were collected and their gene expression levels were compared. 4 biological replicates per genotype.