Project description:This project presents LC-MS/MS-based proteomic datasets obtained from bacterial colonies isolated from retail chicken meat samples, as part of a study focused on the detection of Campylobacter jejuni. The isolates were initially screened using a novel chromogenic enzymatic assay targeting hippuricase activity, which is specific for C. jejuni. Selected samples, including both enzymatically positive and negative results, were subjected to in-gel digestion followed by high-resolution LC-MS/MS analysis on an Orbitrap Exploris 240 instrument.
Project description:Campylobacter jejuni has become the predominant cause of sheep abortions in the U.S. However, little is know about the genetic diversity among the isolates collected from different time periods. In this study, the genetic diversity of sheep abortion isolates of C. jejuni was investigated by Array-based CGH
Project description:Campylobacter jejuni has become the predominant cause of sheep abortions in the U.S. However, little is know about the genetic diversity among the isolates collected from different time periods. In this study, the genetic diversity of sheep aborion isolates of C. jejuni was investigated by Array-based CGH
Project description:The goal was to identify beef marbling related genes. Comparisons of skeletal muscle of well-marbled beef (HER, H-F) vs. lean beef (LIM). H-F vs. LIM -Dye-swap experiment
Project description:Campylobacter jejuni is currently the leading cause of bacterial gastroenteritis in humans. Comparison of multiple Campylobacter strains revealed a high genetic and phenotypic diversity. However, little is known about differences in transcriptome organization, gene expression, and small RNA (sRNA) repertoires. Here we present the first comparative primary transcriptome analysis based on the differential RNA–seq (dRNA–seq) of four C. jejuni isolates. Our approach includes a novel, generic method for the automated annotation of transcriptional start sites (TSS), which allowed us to provide genome-wide promoter maps in the analyzed strains. These global TSS maps are refined through the integration of a SuperGenome approach that allows for a comparative TSS annotation by mapping RNA–seq data of multiple strains into a common coordinate system derived from a whole-genome alignment. Considering the steadily increasing amount of RNA–seq studies, our automated TSS annotation will not only facilitate transcriptome annotation for a wider range of pro- and eukaryotes but can also be adapted for the analysis among different growth or stress conditions. Our comparative dRNA–seq analysis revealed conservation of most TSS, but also single-nucleotide-polymorphisms (SNP) in promoter regions, which lead to strain-specific transcriptional output. Furthermore, we identified strain-specific sRNA repertoires that could contribute to differential gene regulation among strains. In addition, we identified a novel minimal CRISPR-system in Campylobacter of the type-II CRISPR subtype, which relies on the host factor RNase III and a trans-encoded sRNA for maturation of crRNAs. This minimal system of Campylobacter, which seems active in only some strains, employs a unique maturation pathway, since the crRNAs are transcribed from individual promoters in the upstream repeats and thereby minimize the requirements for the maturation machinery. Overall, our study provides new insights into strain-specific transcriptome organization and sRNAs, and reveals genes that could modulate phenotypic variation among strains despite high conservation at the DNA level.