Project description:RNA-Seq data encompass transcriptomes from two sequential isolates of B. contaminans ST872. Each isolate was cultivated in three conditions (serum, sputum and BSM medium) in three biological replicates.
Project description:We developed a new approach called antibody detection of translocations (ADOT) which combines a transcriptional microarray-based approach with a novel antibody-based detection method to detect translocations in cancer. ADOT allows for the accurate and sensitive identification of translocations and provides exon-level information about the fusion transcript. ADOT can detect translocations in poor quality unprocessed total RNA. We demonstrate the feasibility of ADOT by examples in which both known and unknown Ewing sarcoma translocations are identified from cell lines, tumor xenografts, and FFPE primary tumors. These results demonstrate that ADOT may be an effective approach for translocation analysis in clinical specimens with significant RNA degradation and may offer a novel diagnostic tool for translocation-based cancers. We designed oligonucleotide probes for each possible exon-exon combination between potential fusion partners and printed the DNA oligonucleotides on custom-designed microarrays. Total RNA from tumor cells or tissues was hybridized on the array. Bound RNA was detected with the S9.6 monoclonal antibody that recognizes RNA-DNA duplexes in a sequence-independent fashion,and detected with Cy3-labeled anti-mouse IgG.
Project description:Burkholderia cenocepacia J2315 was grown in LB broth with and without the presence of the desinfectant chlorhexidine in the subinhibitory concentration of 5mg/L. Four biological replicates for each control and test conditions were performed. The experiment was designed as a direct comparison with dye swap of two replicates.
Project description:The gene expression of the opportunictic cystic fibrosis lung pathogen Burkholderia multivorans ATCC 17616 was investigated under different growth conditions relevant for growth in the cystic fibrosis lung.
Project description:Burkholderia cenocepacia sequence type 32 (ST32) represents one of the most globally distributed strains from Bukrholderia cepacia complex (Bcc), which infected 30% of Czech cystic fibrosis (CF) patients. The aim of this study was to compare gene expression in two pairs of ST32 clinical isolates that were subjected to cultivation in two different conditions, characteristic for chronic B. cenocepacia infection in CF patients. ST32 strain is known to be a problematic epidemic strain, which caused a serious outbreak at the Prague CF centre.
Project description:B. cenocepacia J2315 was grown to mid-log phase in different media: LB broth, iso-sensitest broth, basal salt medium with glucose<br>at pH 7 and pH 6, basal salt medium at pH 7 with a reduced iron content, and basal salt medium with glycerol
Project description:We have previously developed an approach that fractionates genomic DNA fragments depending on their CpG density (methyl-CpG-immunoprecipitation, MCIp), and adapted this approach to identify regions that are differentially methylated in the two closely related regulatory T-cells (Treg cells) and conventional T-cells (Tconv cells). Because Treg cells naturally occur at a relatively low frequency, we used a previously established protocol to expand Treg cells from a stable naïve Treg population that is characterized by the co-expression of CD4, CD25 and CD45RA. We separated gDNA of both expanded T cell lineages (Tregexp and Tconvexp) into unmethylated (CpG) and methylated pools (mCpG) using MCIp and compared cell type-specific differences in DNA methylation by co-hybridization of the two umethylated or the two methylated DNA subpopulations of Treg and Tconv, respectively, to these locus-wide custom tiling arrays. As enriched DNA-fragments from a cell type in the methylated fraction should be depleted in the unmethylated fraction, the signal intensities in CpG pool and mCpG pool hybridizations should complement themselves (âMirror-Imageâ approach) and thereby allow the identification of differentially methylated regions (DMR). Because we expected to find lineage-specific methylation differences with greater probability in regions associated with differential transcriptional activity, we limited our analysis to gene loci that showed cell type-specific gene expression in Treg versus Tconv cells plus a handful of control regions that were equally expressed in both cell types. The microarray used in this study covered 12 megabases of the human genome and contained 69 regions (with a median size of 100.000 kb) and 128 proximal promoter regions and 181 genes, which included a number of well known and functionally relevant genes like CD40LG, IFNG, FOXP3, IL2RA and CTLA4. Keywords: MCIp-on-chip; comparative genomic hybridization With MCIp gDNA from Treg or Tconv cells was separated into hypo- and hypermethylated pools. On each array, wheather the two hypomethylated fractions- one from Treg, the other from Tconv cells- or the two hypermethylated fractions were cohybridized. Two biological replicates.
Project description:Amplified M.tb RNA derived from 15 subjects at multiple time intervals before and during chemotherapy (totalling 52 samples) was profiled alongside M.tb H37Rv RNA extracted from in vitro log phase bacilli (2 biological replicates hybridised in duplicate) as a standardised comparator. Amplified mycobacterial RNA (2 µg) were directly labelled with Cy3 fluorophore using the Universal Linkage System (ULS, Kreatech Diagnostics). Microarray hybridisations were conducted as previously described using an M.tb complex pan-genome microarray generated by the Bacterial Microarray Group at St. George’s (ArrayExpress accession number A-BUGS-41).
Project description:This SuperSeries is composed of the following subset Series: GSE14232: Transcriptome analysis of freshly sorted and expanded regulatory and conventional T cells GSE14233: Detection of differentially methylated regions in CD4+CD25+CD45RA+ regulatory T-cells and conventional CD4+CD25- T-cells GSE14234: Histone H3 Lysine 4 mono-, di- and trimethyl and CTCF in CD4+CD25+CD45RA+ regulatory and conventional CD4+CD25- T-cells Refer to individual Series