Project description:The following CGH experiments were conducted on six sectors (S1-S6) from a single primary ductal carcinoma tumor (T12) using the Sector-Ploidy-Profiling (SPP) Approach. SPP involves macro-dissecting the tumor, flow-sorting nuclei by differences in total genomic DNA content and profiling the genome of the tumor subpopulations.
Project description:We identified genome-wide binding regions of NdgR in Streptomyces coelicolor using chromatin immunoprecipitation sequencing (ChIP-seq). We constructed 6×myc-tagged NdgR strain using homologous recombination with myc-tagging vector. Analysis of the sequencing data aligned to Streptomyces coelicolor genome database (NC_003888).
Project description:This study compared the genome of Streptomyces rimosus rimosus against that of Streptomyces coelicolor. It also compared 4 strains with changes in oxytetracycline production and derived from G7, the type strain, against G7. Keywords: Comparative genomic hybridization
Project description:The following CGH experiments were conducted on six sectors (S1-S6) from a single primary ductal carcinoma tumor (T12) using the Sector-Ploidy-Profiling (SPP) Approach. SPP involves macro-dissecting the tumor, flow-sorting nuclei by differences in total genomic DNA content and profiling the genome of the tumor subpopulations. The genomic DNA from each tumor subpopulation was labeled with Cy5 and hybridized to an 85K Bgl2 ROMA Microarray. A normal reference male fibroblast was labeled with Cy3 as a control. Samples were dye-swapped and the experiments were conducted in color-reversal. The value data repesents a log ratio of the mean of two dye-swapped samples
Project description:Actinomycete genomes contain a plethora of orphan gene clusters encoding unknown secondary metabolites, and representing a huge unexploited pool of chemical diversity. The explosive increase in genome sequencing and the massive advance of bioinformatic tools have revolutionized the rationale for natural product discovery from actinomycetes. In this context, we applied a genome mining approach to discover a group of unique catecholate-hydroxamate siderophores termed as qinichelins from Streptomyces sp. MBT76. Quantitative proteomics statistically correlated a gene cluster of interest (qch) to its unknown chemotype (qinichelin), after which structural elucidation of isolated qinichelin was assisted by bioinformatics analysis and verified by MS2 and NMR experiments. Strikingly, intertwined functional crosstalk among four separately located gene clusters was implicated in the biosynthesis of qinichelins.
