Project description:We conducted whole genome sequencing on eight evolved E. coli strains (S1–S8) and the parental wild-type (WT) strain to identify mutations arising from ofloxacin treatments. These strains (S1-S8), generated through fluoroquinolone-mediated adaptive laboratory evolution (ALE), exhibited varying levels of tolerance and resistance. The ALE experiment involved intermittent antibiotic treatments of eight independent cultures over 22 days. The untreated WT strain served as a baseline to pinpoint mutations in the evolved strains.
Project description:We performed shallow whole genome sequencing (WGS) on circulating free (cf)DNA extracted from plasma or cerebrospinal fluid (CSF), and shallow WGS on the tissue DNA extracted from the biopsy in order to evaluate the correlation between the two biomaterials. After library construction and sequencing (Hiseq3000 or Ion Proton), copy number variations were called with WisecondorX.
Project description:A strain of Acetivibrio thermocellus (colloquially, Clostridium thermocellum) DSM 1313 capable of growing in xylose was created by both rational engineering and adaptive laboratory evolution (ALE) approaches. This RNA-seq experiment compares the transcriptomes of the pre-ALE strain on native substrate with the pre-ALE and post-ALE strains growing in xylose (or xylose plus xylan). These data show the progression of the initially engineered strain from normal growth with a native substrate, to debilitated growth in the new engeered substrate, to improved growth on the engineered substrate after ALE. Genes of various biological functions are found to undergo coordinated changes at various stages of the engineering & ALE campaign. These correlations shed light on the state of the cell at each stage. All together, these data paint a picture of the strain initially undergoing a stress state, which is eventually overcome through ALE. Many of these changes dissipate in the fast growing strain, leaving only permanent changes that enable growth on xylose.
Project description:Whole genome sequencing (WGS) of tongue cancer samples and cell line was performed to identify the fusion gene translocation breakpoint. WGS raw data was aligned to human reference genome (GRCh38.p12) using BWA-MEM (v0.7.17). The BAM files generated were further analysed using SvABA (v1.1.3) tool to identify translocation breakpoints. The translocation breakpoints were annotated using custom scripts, using the reference GENCODE GTF (v30). The fusion breakpoints identified in the SvABA analysis were additionally confirmed using MANTA tool (v1.6.0).
