Project description:The draft genome of L. sativa (lettuce) cv. Tizian was sequenced in two Illumina sequencing runs, mate pair and shotgun. This entry contains the RAW sequencing data.
Project description:Intervention type:DRUG. Intervention1:Huaier, Dose form:GRANULES, Route of administration:ORAL, intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary. Control intervention1:None.
Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes.
For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis.. Timepoint:RNA sequencing of 240 blood samples of 80 cases and its analysis, scheduled from June 30, 2022..
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:Observational, Multicenter, Post-market, Minimal risk, Prospective data collection of PillCam SB3 videos (including PillCam reports) and raw data files and optional collection of Eneteroscopy reports
Project description:About 500 forelimbs were isolated at 10.5 days post coitum, and ChIP-seq was performed using anti-BCL9 (Abcam, ab37305) and anti-TBX3 (Santacruz, sc17871) antibodies. BCL9 is a beta-catenin transcriptional cofactor involved in the transcriptional machinery of Wnt target genes. TBX3 is a transcription factor important in limb development. This experiment identified, in this developmental context, co-occupancy of BCL9 and TBX3 on a genome-wide scale, and at Wnt-related loci, suggesting co-operation between these transcription factors in Wnt-driven limb development (Zimmerli et al. in revision during spring 2020). The following files are available for this experiment: - Raw sequencing data (.fastq) - Genomic enrichment data in bedgraph format (.bdg) which can be used for visualization in a genome browser. - Annotated peak files (.txt) containing high confidence peaks with genomic annotation. NOTE: The raw data relative to the BCL9 ChIP were previously deposited under accession number E-MTAB-7652, and described in Salazar et al. 2019. For simplicity, and to allow easy retrieval, we add the raw data of the entire experiment (including also BCL9) along with the newly generated analyses.
Project description:In this study, we performed chromatin immunoprecipitation-coupled massive parallel DNA sequencing (ChIP-seq) to analyze the genome-wide transcriptional profile of ING5 in hepatocytes. ChIP was performed first in HepG2 cells with antibodies against ING5. Following ChIP, ING5-associated DNAs were amplified using non-biased conditions, labeled, and sequenced with HiSeq 2500. The raw sequencing image data were examined by the Illumina analysis pipeline, aligned to the unmasked human reference genome (GRCh37, hg19) using Bowtie2, and further analyzed by MACS (Model-based Analysis for ChIP-Seq).
