Project description:We isolated an efficient doxycycline degrading strain Chryseobacterium sp. WX1. To investigate gene expression patterns during doxycyclinedegradation by strain WX1, we conducted a comparative transcriptomic analysis using cultures of strain WX1 with and without doxycycline addition. The RNA-Seq data revealed that 90.44-96.56% of the reads mapped to the genome of Chryseobacterium sp. WX1 across all samples. Differentially expressed genes (DEGs) analysis (|log2FC| >2; p < 0.01) showed that 693 genes were significantly up-regulated and 592 genes were significantly down-regulated.
Project description:Interventions: Genomic test CANCERPLEX-JP OncoGuide NCC oncopanel system FndationONe CDx genome profile GUARDANT360 MSI Analysis System BRACAnalysis
Primary outcome(s): Development of genome database
Study Design: Single arm Non-randomized
Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Project description:In this study, we isolated a potent doxycycline-degrading bacterium, Chryseobacterium sp. WX1, from environmental samples. To elucidate the molecular mechanisms underlying doxycycline degradation by strain WX1, we assessed and interpreted the proteomic profiles of Chryseobacterium sp. WX1 under conditions both with and without doxycycline exposure.
Project description:The skin commensal yeast Malassezia is associated with several skin disorders. To establish a reference resource, we sought to determine the complete genome sequence of Malassezia sympodialis and identify its protein-coding genes. A novel genome annotation workflow combining RNA sequencing, proteomics, and manual curation was developed to determine gene structures with high accuracy.
