Project description:To address how Csf3r and RUNX1 mutations in combination with CSF3 administration affect hematopoiesis in vivo, we performed serial transplantation experiments. Lineage-negative Csfr-d715 BM cell cells were lentivirally transduced with the patient specific RUNX1-D171N (RHD) mutant or an empty vector control. Primary recipients showed a pre-leukemic condition characterised by myeloblasts in the peripheral blood, but not overt AML. Upon serial transplantation, one of the Csfr-d715/RUNX1-D171N mutant mice, treated with CSF3, could repopulate secondary and tertiary recipients. Whole exome sequencing on these mice were performed to investigate whether these mice acquired an additional mutation. Enzymatically fragmented genomic DNA was used to construct sample libraries following the SeqCap EZ HyperPlusCap workflow User’s Guide version 1.0 (Roche). Unique, dual index adapters (Integrated DNA technologies) were used for ligation. After ligation of adapters and an amplification step, exome target sequences were captured using in-solution oligonucleotide baits (SeqCap EZ Developer Library mm9_exome_L2R_D02). Amplified captured sample libraries were paired-end sequenced on the HiSeq 2500 platform (Illumina).
Project description:Purpose: To ensure that ABX464 acted specifically on HIV splicing and did not significantly or globally affect the splicing events of human genes, we used an assembly approach of HIV (YU2 strain) putative transcripts and human long non-coding sequences from paired-reads (2x75bp) captured on a NimbleGen SeqCap® EZ Developer Library (Roche/NimbleGen). Methods: Cells were infected with 80 ng of p24/106 cells of the YU-2 strain for 4 to 6 hours and then rinsed with PBS before medium renewal, followed by high-throughput RNAseq from custom SeqCap EZ capture libraries. Each raw dataset of the samples contained between 5 and 30 million paired-end reads (75 bp), with an average of approximately 12 million raw reads per sample. Results: The raw reads were then cleaned and assembled per library to generate contigs, giving an average of 930 contigs per sample for further analyses. Conclusions: Our results show that high-throughput analyses coupled with bioinformatics-specific tools offers a comprehensive and more accurate view of mRNA splicing within a cell.
Project description:Bam file from exome sequencing of FFPE sample from Ly3 using SeqCap EZ Human Exome Library (Roche Nimblegen, Inc., WI, USA) and Illumina HiSeq2000 sequencer.
Project description:Whole exome sequencing of 5 HCLc tumor-germline pairs. Genomic DNA from HCLc tumor cells and T-cells for germline was used. Whole exome enrichment was performed with either Agilent SureSelect (50Mb, samples S3G/T, S5G/T, S9G/T) or Roche Nimblegen (44.1Mb, samples S4G/T and S6G/T). The resulting exome libraries were sequenced on the Illumina HiSeq platform with paired-end 100bp reads to an average depth of 120-134x. Bam files were generated using NovoalignMPI (v3.0) to align the raw fastq files to the reference genome sequence (hg19) and picard tools (v1.34) to flag duplicate reads (optical or pcr), unmapped reads, reads mapping to more than one location, and reads failing vendor QC.
Project description:Cancer cell lines can provide robust and facile biological models for the generation and testing of hypothesis in the early stages of drug development and caner biology. Although clinical trials remain the ultimate scientific testing ground for anticancer therapies, the use of appropriate model systems to explore the molecular basis of drug activity and to identify predictive biomarkers during their development can have a profound effect on the design, cost and ultimate success of new cancer drug development. In order to capture the high degree of genomic diversity in cancer and to identify rare molecular subtypes, we have assembled a collection of >1000 cancer cell lines. These lines have been characterised using whole exome sequencing, genome wide analysis of copy number, mRNA gene expression profiling and DNA methylation analysis (http://cancer.sanger.ac.uk/cell_lines). To further characterise this panel of cell lines we have now compiled data for RNA sequencing. The current study represent data for ~450 of the cell lines in the panel, data for the remaining lines can be accessed via the CGHUB data browser hosted at UCSC. <br>This ArrayExpress record contains only meta-data. Raw data files have been archived at the European Genome-Phenome Archive (EGA, www.ebi.ac.uk/ega) by the consortium, with restricted access to protect sample donors' identity. The relevant accessions of the EGA data set is EGAD00001001357 under EGA study accession EGAS00001000828.
Project description:This study involves characterization of four head and neck cancer cell lines -- NT8e, OT9, AW13516 and AW8507, established from Indian head and neck cancer patients, using SNP arrays, whole exome and whole transcriptome sequencing.
Project description:This study involves characterization of four head and neck cancer cell lines -- NT8e, OT9, AW13516 and AW8507, established from Indian head and neck cancer patients, using SNP arrays, whole exome and whole transcriptome sequencing.
Project description:This study involves characterization of four head and neck cancer cell lines -- NT8e, OT9, AW13516 and AW8507, established from Indian head and neck cancer patients, using SNP arrays, whole exome and whole transcriptome sequencing.