B. thailandensis genes induced by subinhibitory concentration of glyphosate
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ABSTRACT: Total transcript amplification (TTA) from single eukaryotic cells for transcriptome analysis is established, but TTA from a single prokaryotic cell presents additional challenges with much less starting material and lack of poly(A)-tails. We described, here, a novel method for single bacterium TTA, using a Burkholderia thailandensis model exposed to subinhibitory concentration of the antibacterial agent, glyphosate. Utilizing B. thialandensis microarray to assess the TTA method showed little gene bias (< 2 fold-change) and absence (~5-6%) when compared to the larger scale non-amplified RNA samples. B. thailandensis genes important to possibly recuperate and balance the intracellular amino acid pool were induced (or repressed) by the aromatic amino acid biosynthesis inhibitor, glyphosate. We validated our single-cell microarray data at the multi-cells and single-cell levels with lacZ and gfp reporter-gene fusions, respectively. This novel method will rejuvenate and expand the prokaryotic transcriptomic field. Two identical cultures of B. thailandensis wildtype strain E264 were grown in 1x M9 minimal medium supplemented with 1% Brij-58 and 20 mM glucose (MG) to mid-log phase. One culture was induced by final concentration of 0.01% (w/v) glyphosate for 30 minutes. Total RNA was then purified from B. thailandensis uninduced and induced samples, converted to cDNA and hybridized onto B. thailandensis 70mer triplicate array
Project description:Total transcript amplification (TTA) from single eukaryotic cells for transcriptome analysis is established, but TTA from a single prokaryotic cell presents additional challenges with much less starting material and lack of poly(A)-tails. We described, here, a novel method for single bacterium TTA, using a Burkholderia thailandensis model exposed to subinhibitory concentration of the antibacterial agent, glyphosate. Utilizing B. thialandensis microarray to assess the TTA method showed little gene bias (< 2 fold-change) and absence (~5-6%) when compared to the larger scale non-amplified RNA samples. B. thailandensis genes important to possibly recuperate and balance the intracellular amino acid pool were induced (or repressed) by the aromatic amino acid biosynthesis inhibitor, glyphosate. We validated our single-cell microarray data at the multi-cells and single-cell levels with lacZ and gfp reporter-gene fusions, respectively. This novel method will rejuvenate and expand the prokaryotic transcriptomic field.
Project description:The influence of cranberry proanthocyanidins on the transcriptomic responses of Streptococcus mutans during biofilm formation was investigated. Treatment regimens simulating topical exposures experienced clinically (twice-daily, 60 s each) were used over saliva-coated hydroxyapatite biofilm model. Cranberry proanthocyanidins (1.5 mg/ml) in 15% ethanol was used to treat the biofilms. Four biological replicates each for the treatment and vehicle control were used for RNA extraction and microarray.
Project description:Transcriptional profiling comparing control berries (sampled at Traditional harvest, TH) with berries sampled after the application of different post-harvest techniques (late-harvest LH; double reasoned maturation-A, DMR-A; double reasoned maturation-B, DMR-B) Comparison of Grape berries subjected to three different post-harvest techniques (LH, DMR-A, DMR-B) versus Grape berries sampled at traditional harvest (TH). Comparisons were as follows: LH berries versus TH berries (2 biological replicates), DMR-A berries versus TH berries (2 biological replicates, only one dye-swapped), DMR-B berries versus TH berries (2 biological replicates, only one dye-swapped).
Project description:Aspergillus fumigatus was cultured in a chemostat for 12.5 hours, and switched to hypoxia (0.2% oxygen). Samples were collected at the beginning of the experiment, before the switch to hypoxia, and 2, 6, 12 and 24 hours after the switch. RNA was extracted and microarrays performed to compare each time point to the time the experiment was switched. There are 3 biological replicates and 2 technical replicates.
Project description:Purpose HER2 gene amplification or protein overexpression (HER2+) defines a clinically challenging subgroup of breast cancer with variable prognosis and response to therapy. We aimed to investigate the heterogeneous biological appearance and clinical behavior of HER2+ tumors using molecular profiling. Materials and Methods Hierarchical clustering of gene expression data from 58 HER2-amplified tumors of various stage, histological grade and estrogen receptor (ER) status was used to construct a HER2-derived prognostic predictor that was further evaluated in several large independent breast cancer data sets. Results Unsupervised analysis identified three subtypes of HER2+ tumors with mixed stage, histological grade and ER-status. One subtype had a significantly worse clinical outcome. A prognostic predictor was created based on differentially expressed genes between the subtype with worse outcome and the other subtypes. The predictor was able to define patient groups with better and worse outcome in HER2+ breast cancer across multiple independent breast cancer data sets and identify a sizable HER2+ group with long disease-free survival and low mortality. Significant correlation to prognosis was also observed in basal-like, ER−, lymph node positive or high-grade tumors, irrespective of HER2-status. The predictor included genes associated to immune response, tumor invasion and metastasis. Conclusion The HER2-derived prognostic predictor provides further insight into the heterogeneous biology of HER2+ tumors and may become useful for improved selection of patients that need additional treatment with new drugs targeting the HER2 pathway. Array comparative genomic hybridization (aCGH) identified 58 breast tumors with amplification of HER2 from a larger cohort of approx 500 tumors breast. Global gene expression profiles were obtained using 70-mer oligonucleotide microarrays. Unsupervised hierarchical clustering of the 58 tumors, using Pearson correlation and complete linkage, identified three main clusters. One cluster showed significantly poorer clinical outcome. Significance of microarray (SAM) analysis was performed to identify 158 genes separating the poor outcome cluster compared to the other two clusters. Gene expression centroids, based on the 158 genes, were created for each cluster for validation in independent breast cancer data sets.
Project description:miRNA array comparing the transcription profile of control rats and rats after intra-hippocampal pilocarpine-induced Status Epilepticus (PILO-SE).
Project description:Endometriosis is defined as the presence of endometrial tissue (eutopic tissue) outside the uterus (ectopic tissue). We assessed differentially expressed microRNAs in ectopic endometrium compared with eutopic endometrium. Comparison of paired eutopic/ectopic endometrium microRNAs from three patients.
Project description:The determinants of transcriptional regulation in malaria parasites remain elusive. The presence of a well-characterized gene expression cascade shared by different Plasmodium falciparum strains could imply that transcriptional regulation and its natural variation do not contribute significantly to the evolution of parasite drug resistance. To clarify the role of transcriptional variation as a source of stain-specific diversity in the most deadly malaria species and to find genetic loci that dictate variations in gene expression, we examined genome-wide expression level polymorphisms (ELPs) in a genetic cross between phenotypically distinct parasite clones. Significant variation in gene expression is observed through direct co-hybridizations of RNA from different P. falciparum clones. Nearly 18% of genes were regulated by a significant eQTL. The genetic determinants of most of these ELPs resided in hotspots that are physically distant from their targets. The most prominent regulatory locus, influencing 269 transcripts, coincided with a Chromosome 5 amplification event carrying the drug resistance gene, pfmdr1, and 13 other genes. Drug selection pressure in the Dd2 parental clone lineage led not only to a copy number change in the pfmdr1 gene but also to increased copies of putative neighboring regulatory factors that, in turn, broadly influence the transcriptional network. Previously unrecognized transcriptional variation, controlled by polymorphic regulatory genes and possibly master regulators within large copy number variants, contributes to sweeping phenotypic evolution in drug-resistant malaria parasites. Keywords: Segregation patterns of gene expression levels. A total of 36 test parasite samples (Dd2, HB3, and progeny) from a single time point in the parasite life cycle (18 hours post RBC invasion) were co-hybridized to a common reference HB3 sample, each a single replicate.
Project description:Hdac1/2 are important epigenetic factors, yet their functional roles in specific tissues inluding lung is not determined. We used the conditional knockout model of Hdac1/2 to determine their roles in lung development. To explore the genes that are regulated by Hdac1/2 during lung development, we performed microarray analysis of Shhcre control and Hdac1/2DKO lungs at E11.5 embryos.
Project description:To identify potential biological functions for three lncRNAs (NANCI, LL12, and LL34) we used shRNAs to knockdown expression of lncRNAs in MLE12 cells, a cell resembling type two lung epithelial cells. This data set contains the microarrays looking at gene expression. We used biological triplicate for each shRNA treatment and each treatment group was compared to a biological triplicate of MLE12 cells treated with a scrambled shRNA.