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:High resolution HiC libraries are usually lightly sequenced before investing in a deep sequencing. We modeled HiC resolution in function of the sequencing depth to predict accurately the resolution of any high resolution HiC library given a small sequnecing batch of the library. To test our tool, we used public datasets as well as a newly generated dataset using Arima kit on mouse purified rods photoreceptors.
Project description:Capture-HiC was conducted to map chromatin interactions at all melanoma GWAS identified risk-associated regions across five individual primary human melanocyte cultures. Capture-HiC baits were designed by Arima Genomics (San Diego, CA, 2x tiling, least stringent masking, XTHSBoosting) to obtain an Agilent Sure Select library (Santa Clara, CA) targeting all restriction fragments (recognition sequences: ^GATC, ^GANTC) covering entire regions of association for the 68 independent genome-wide significant signals. Fifteen Capture-HiC libraries were generated from five human primary melanocyte cultures (C56, C140, C205, C24, and C27), with three technical replicates for each culture, except C56 third technical replicate, where the same library was also sequenced in a different batch labeled as rep4. The barcoded Capture-HiC libraries were pooled and sequenced using an Illumina Novaseq. This included one run on an SP flow cell and a second run on an S1 flow cell, resulting in approximately 5.7 billion paired-end reads with a read length of 150 bp. This sequencing yielded a median coverage of about 350 million read pairs per technical replicate and approximately 1.1 billion read pairs per culture.
Project description:Genome organization influences transcriptional regulation by facilitating interactions between gene promoters and distal regulatory elements. To analyse distal promoter contacts mediated by the PRC1 complex we used Capture Hi-C (CHi-C) to enrich for promoter-interactions in a HiC library in Ring1a KO and Ring1a/b dKO mouse ES cells.
Project description:This dataset consists of in situ HiC-seq data from a human oesophageal adenocarcinoma cell line (OE19). In total, the dataset includes 2 biological replicated samples. The Hi-C sample and library preparations were generated using Arima-HiC Kit (A510008, ARIMA Genomics) and Arima Library Prep module (A303011, ARIMA Genomics), respectively.