Project description:We report our newly developed method for high-throughput sequencing of 2'-O methylation sites using positive signal and site specific approach. The pilot experiment using MiSeq generated ~2.5 million reads per sample. The 2'-O methylation site identification produced a promising distribution pattern matching known sites. For accurate and sensitive base call, >10 million reads are required per sample as evidenced in the NextSeq experiment.
Project description:We present Smart-Seq2 Rolling Circle to Concatemeric Consensus (Smar2C2) for the identification and quantification of transcription start sites. Smar2C2 allows for the identification of upwards of 70 million unique transcription start sites from a single sample with as little as 40 pg of RNA input.
Project description:To develop a classifier based on microRNAs for primary tumor site identification of liver core biopsies and to explore the influence of surrounding normal liver tissue on classification.
Project description:N-glycosylation site identification in Arabidopsis thaliana apoplastic fluid proteome by legumain using two alternative workflows to cross validate with dimethylation.
Project description:Interventions: 0.5 ml ICG was injected the mucosa into the submucosal space of the bowel wall at just the distal side of the tumor preoperative endoscopically. We identified the colonic tumor site in the PINPOINT Endoscopic Fluorescence Imaging System, in which NIR fluorescence is superimposed in pseudo-color (green) on a white light image.
Primary outcome(s): The intraoperative visibility rate of tumor site
Study Design: Single arm Non-randomized