Project description:Single Gland Whole-exome sequencing: building on our prior description of multi-region WES of colorectal tumors and targeted single gland sequencing (E-MTAB-2247), we performed WES of multiple single glands from different sides (right: A and left: B) of two tumors in this study (tumor O and U) on the illumina platform using the Agilent SureSelect 2.0 or illumina Nextera Rapid Capture Exome kit (SureSelect or NRCE, as indicated in the naming of fastq files). Colorectal Cancer Xenograft Whole-exome sequencing: The HCT116 and LoVo Mismatch-Repair-deficient colorectal adenocarcinoma cell lines were obtained from the ATCC and cultured under standard conditions. For both cell lines, a single ‘founding’ cell was cloned and expanded in vitro to ~6M cells. Two aliquots of ~1M cells were subcutaneously injected into opposite flanks (right and left) of a nude mouse and tumors allowed to reach a size of ~1B cells (1cm3) before the animal was sacrificed. Tumor tissue was collected separately from the right and left lesions and DNA was extracted for WES using the illumina TruSeq Exome kit or Nextera Rapid Capture Exome expanded Kits (Truseq or NRCEe), as was DNA from the first passage population (a polyclonal tissue culture for HCT116 and a polyclonal xenograft sample for LoVo), which were employed as a control to study mutation accumulation in culture and post xenotransplantation.
Project description:For many years, immortalized cell lines have been used as model systems for cancer research. Cell line panels were established for basic research and drug development, but did not cover the full spectrum of leukemia and lymphoma. Therefore, we now developed a novel panel (LL-100), 100 cell lines covering 22 entities of human leukemia and lymphoma including T-cell, B-cell and myeloid malignancies. Importantly, all cell lines are unequivocally authenticated and assigned to the correct tissue. Cell line samples were proven to be free of mycoplasma and virus contamination. Whole exome sequencing (WES) and RNA sequencing (RNA-seq) of the hundred authenticated leukemia-lymphoma cell lines were conducted with a uniform methodology to complement existing data on these publicly available cell lines. This part captures WES. This data set will be useful for understanding the function of oncogenes and tumor suppressor genes and to develop targeted therapies.
Project description:Gain-of-function mutations in histone 3 (H3) variants are found in a large proportion ofpediatric high-grade gliomas (pHGG) and are often associated with p53 loss and PDGFRA amplification. However, a lack of faithful models has hampered investigation of disease mechanisms and preclinical development. Here, we describe a somatic mouse model of H3.3K27M-driven HGG, which faithfully recapitulates human H3.3K27M pHGG. H3.3K27M and p53 loss are sufficient for neoplastic transformation but only within a specific window of brain development. In this model, H3.3K27M primes the PDGFRA pathway during transformation, and accordingly gain of wild-type PDGFRA decreases latency and increases invasion. Finally, we reveal a previously underappreciated dynamic regulation of H3K27 trimethylation at specific loci. Overall, this experimental model provides key insights into oncohistone-driven pHGG pathogenesis and will enable investigations of future therapies. Overall design: We performed whole-exome sequencing (WES) of 10 spatial biopsies of a K27M-AP tumor (H3.3K27M, Trp53-/- and Atrx shRNA). We employed in utero electroporation and a piggyBac transposon-based system to deliver mutant H3.3K27M, Atrx shRNA and Trp53 CRISPR/Cas9 into developing NPCs – and all their successive progeny – during embryonic neurogenesis in vivo.
Project description:Mutations in isocitrate dehydrogenase 2 (IDH2) occur in many cancers including Acute Myeloid Leukemia (AML). In preclinical models mutant IDH2 causes partial hemopoietic differentiation arrest. Recently, we showed that single agent Enasidenib, a first-in-class, selective mutant IDH2 inhibitor, produces a 40% response in relapsed/refractory AML patients by promoting differentiation. Yet, the rate, extend and duration of the clinical benefits of Enasidenib vary from one patient to another. To investigate how the genetic mutational landscape, at baseline or at relapse, contributes in modulating response to Enasidenib, WES analyses on FACS-sorted blasts from baseline, best response and/or relapse samples from 16 Enasidenib-treated patients were performed. WES analyses were also performed on the CD3+ cells from the same patients, which may be used as germinal control samples.