Project description:The aim of our study is to identify the role of FUS in shaping the transcriptome. RNA-seq of two FUS KO clones was performed and compared to wt; for each, four replicates were sequenced. RNA molecules associated with the FUS protein were determined by means of a RNA immuno-precipitation, followed by high-throughput sequencing. Total RNA was used as a control. SH-SY5Y cells were used for both experiments. RNA-seq: 4 wt samples, 4 A4 KO samples, 4 A5 KO samples. RIP-seq: 1 input control sample, 3 anti-FUS IP replicates.
Project description:We compared the epigenetic status of the mutant and disease-free iPSCs at the whole genome level. Whole epigenome profiling based on trimethylated H3K4 (H3K4me3) showed concordant epigenetic remodeling in the two corrected clones when compared with two mutant iPSC clones. Examination of genome-wide gene expression in Fanconi anemia patient iPSCs before and after gene correction
Project description:Homologous recombination (HR) is a Rad51-mediated evolutionary conserved process that plays a unique role in genome plasticity, controlling the balance genetic stability/diversity. In this study we compared the induction of genetic modifications by whole exome sequencing in primary mouse embryonic fibroblasts after the expression of a dominant negative form of Rad (SMRad51). We used a transgenic mouse embryonic fibroblasts in which SMRad51 expression was induced under doxycycline (Dox) control. We compared SMRad51 primary mouse embryonic fibroblasts treated with Dox (transgene expression induced) with control mouse embryonic fibroblasts treated with Dox.
Project description:CSF-1R is recruited on EGR1 motifs in monocytes where it colocalizes with EGR1. To address if EGR1 required for CSF-1R recruitment on chromatin, THP-1 monocytic cell line has been deleted for EGR1 by CRISPR-Cas9 approach. 3 clones were generated by single cell cloning and CSF-1R localization on chromatin was compared to two unmodified THP-1 clones by ChIP-sequencing. Since the read number was strongly decreased in the EGR1-deleted clones, the three clones were pooled for the comparison with wild-type clones. ChIPseq of CSF-1R (Nter Antibody) in monocytes of two CMML patients (CMML2130 and CMML2609)
Project description:We propose a statistical algorithm MethylPurify that uses regions with bisulfite reads showing discordant methylation levels to infer tumor purity from tumor samples alone. With purity estimate, MethylPurify can identify differentially methylated regions (DMRs) from individual tumor samples without genomic variation information or prior knowledge from other datasets. In simulations with mixed bisulfite reads from cancer and normal cell lines, MethylPurify correctly inferred tumor purity and identified over 96% of the DMRs. On real patient data where tumor to normal comparison were used as golden standard, MethylPurify called DMR from tumor samples alone at over 57% sensitivity and 91% specificity. Lung adenocarcinoma cancer and normal tissues from 5 patients were captured by Agilent SureSelect Methyl-Seq system, followed by bisulfite sequencing.
Project description:We compared the epigenetic status of the mutant and disease-free iPSCs at the whole genome level. Whole epigenome profiling based on trimethylated H3K4 (H3K4me3) showed concordant epigenetic remodeling in the two corrected clones when compared with two mutant iPSC clones. Examination of the trimethylated H3K4 histone modification in Fanconi anemia patient iPSCs before and after gene correction
Project description:Pancreatic adenocarcinoma (PDAC) is one of the most lethal human malignancies and a major health problem. Patient-derived tumor xenografts (PDTXs) have been increasingly used as a prime approach for preclinical studies despite being insufficiently characterized as a model of the human disease and its diversity. Extensive multiomics characterization of these PDTXs have demonstrated their utility as a suitable model for preclinical studies, representing the diversity of the primary cancers. We performed a multi-factorial integrative analysis of genome-wide ChIP-seq on multiple histone modifications, as well as RNA-seq on subcutaneous PDTXs from 24 PDAC samples obtained either surgically or using diagnostic biopsies (endoscopic ultrasound guided fine needle aspirate). In the dataset, ChIP-seq for five distinct histone marks (H3K4me1, H3K27ac, H3K4me3, H3K27me3, and H3K9me3) and RNA-seq was carried out to generate new knowledge on the epigenetic landscapes underlying the heterogeneity of PDAC tissues grown in this manner.
Project description:Developing animal models representating the cancer biology of advanced prostate cancer patients is challenging but essential for delivering individualized medical therapies. In an effort to develop patient derived xenograft (PDX) models, we took the metastatic site tissue from the rib lesion twice (ie, before and after enzalutamide treatment) over a twelve week period and implanted subcutaneously and under the renal capsule in immuno-deficient mice. To characterize and compare the genome and transcriptome landscapes of patient tumor tissues and the corresponding PDX models, we performed whole exome and transcriptome sequencing for metastatic tumor tissue as well as its derived PDXs. We demonstrated the feasibility of developping PDX models from patient who developed castrate-resistant prostate cancer. Our data suggested PDX models preserve the patient’s genomic and transcriptomic alterations in high fidelity, as illustrated by somatic mutation, copy number variation, gene fusion and gene expression. RNA sequencing of prostate cancer tumor tissue and derived xenograft using Illumina HiSeq 2000.
Project description:In this strudy, we seek out new chimeric RNA in RNA-seq data from acute myeloid leukemia (AML) patient cells as new biomarkers to improve diagnosis and prognosis in cancer. Total RNA were extracted from bone marrow or peripheral blood mononuclear cells in three AML patients. polyA+ cDNAs were sequenced to generate stranded paired-end reads. RNA-seq analyses were performed using Crac and CracTools software. In particular using these tools, we classified chimeric RNA in four classes, finding new chimeric RNAs. By analysis a larger cohort by qPCR, we were able to define new chimeric RNA as new biomarkers in AML patients.