Project description:An in-depth examination of five endometrial cancer cell lines in which mutation profiles, copy number variation, micro-satellite instability and homolgous recombination repair ability were determined and assessed in the context of TCGA endometrial cancer groups.
Project description:Molecular characterization of tumour cell lines is increasingly regarded as a prerequisite for defining their validity as models of in vivo neoplasia. We present the first comprehensive catalogue of genomic and transcriptional characteristics of five widely used canine lymphoid tumour cell lines. High-resolution microarray-based comparative genomic hybridization defined their unique profiles of genomic DNA copy number imbalance. Multicolour fluorescence in situ hybridization identified aberrant gains of MYC, KIT and FLT3 and deletions of PTEN and CDKN2 in individual cell lines, and also revealed examples of extensive structural chromosome reorganization. Gene expression profiling and RT-PCR analyses defined the relationship between genomic imbalance and transcriptional dysregulation in each cell line, clarifying their relevance as models of discrete functional pathways with biological and therapeutic significance. In combination, these data provide an extensive resource of molecular data for directing the appropriate use of these cell lines as tools for studying canine lymphoid neoplasia. GeneChip Canine Genome 2.0 array (Affymetrix) which is comprised of 18,000 Canis familiaris mRNA transcripts and over 20,000 non-redundant predicted genes was used
Project description:We characterized the genomes of five commonly used hematopoietic cell lines: Kasumi-1, REH, U-937, BV-173 and ME-1. DNA samples from all five cell lines were compared to commercial sex-matched DNA.
Project description:We characterized the global microRNA expression of five commonly used hematopoietic cell lines: Kasumi-1, REH, U-937, BV-173 and ME-1. RNA samples from all five cell lines were compared to reference material composed of RNA from 20 different tissues
Project description:Tumor-derived cell lines have served as vital models to advance our understanding of oncogene function and therapeutic response1. Although substantial effort has been directed to defining the genomic constitution of cancer cell line panels24, the transcriptome which represents the active program of a cell remains understudied. Here, we describe RNA sequencing and SNP array analysis of 675 commonly used human cancer cell lines. We explore numerous transcriptome features including coding and non-coding gene expression, transcribed mutations, gene fusion and expression of non-human sequences. Aside from many known aberrations we find new surprising characteristics, including more than 2200 unique fusion gene pairs representing a vast, testable repertoire of oncogenic fusions, many of which have analogs found in primary human tumors. We show that a combination of multiple genome and transcriptome features in a novel pathway-based approach enhances prediction of response to various targeted therapeutics. Our results provide valuable new insights into these critical pre-clinical models and provide added context for interpreting the numerous studies that employ these widely used cell lines. The raw sequence files were submitted to the European Genome-Phenome Archive (EGA) under accession EGAS00001000610 ( https://www.ebi.ac.uk/ega/datasets/EGAD00001000725 ). Processed, human non-identifiable data, together with a README file describing the data (140625_Klijn_README.txt) are available here in E-MTAB-2706.additional.*.zip files: https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-2706/files .
Project description:We hypothesized that the uterine microbiome postpartum would affect the endometrial transcriptome in “real-time” (implicating a direct interaction between microbial products and the endometrium and also that the microbiome could program the future function of the endometrium (implicating a uterine programming perhaps through mechanisms similar to inflammatory memory). To test this hypothesis, we performed 16S rRNA gene sequencing of the endometrial microbiome at one, five and nine weeks after calving and tested for an effect of the microbial population on the endometrial transcriptome at five and nine weeks after calving using mRNA-sequencing. As expected, the initiation of cyclicity and elevated circulating progesterone (P4) affected the endometrial transcriptome. We also report evidence for both “real-time” and long-term programming of the endometrial transcriptome by the microbiome. An unexpected result was that some of the affected genes in the endometrial microbiome on the endometrial transcriptome were identical to those affected by ovarian cyclicity. This unexpected observation may implicate an indirect mechanism through which the endometrial microbiome can act in a systemic manner to mediate endometrial function through a pathway that involves restoration of ovarian cyclicity postpartum.
Project description:Neuroblastoma cell lines are an important and cost-effective model used to study oncogenic drivers of the disease. While many of these cell lines have been previously characterized with SNP, methylation, and/or mRNA expression microarrays, there has not been an effort to comprehensively sequence these cell lines. Here, we present raw whole transcriptome data generated by RNA sequencing of 39 commonly-used neuroblastoma cell lines. These data can be used to perform differential expression analysis based on a genetic aberration or phenotype in neuroblastoma (e.g., MYCN amplification status, ALK mutation status, chromosome arm 1p, 11q and/or 17q status, sensitivity to pharmacologic perturbation). Additionally, we designed this experiment to enable structural variant and/or long-noncoding RNA analysis across these cell lines. Finally, as more DNase/ATAC and histone/transcription factor ChIP sequencing is performed in these cell lines, our RNA-Seq data will be an important complement to inform transcriptional targets as well as regulatory (enhancer or repressor) elements in neuroblastoma.
Project description:Identification of candidate risk gene variations by whole-genome sequence of four rat strains commonly used in inflammation research
Project description:Mosquito cell lines have been used extensively in research to isolate and propagate arthropod-borne viruses and understand virus-vector interactions. Despite their utility as an in vitro tool, these cell lines are poorly defined and may harbor insect-specific viruses. Accordingly, we screened four commonly-used mosquito cell lines, C6/36 and U4.4 cells from Aedes albopictus, Aag2 cells from Aedes aegypti, and Hsu cells from Culex quinquefasciatus, for the presence of adventitious (i.e. exogenous) viruses. All four cell lines stained positive for double-stranded RNA, indicative of RNA virus replication. We subsequently identified viruses infecting Aag2, U4.4 and Hsu cell lines using untargeted next-generation sequencing, but not C6/36 cells. PCR confirmation revealed that these sequences stem from active viral replication and/or integration into the cellular genome. Our results show that these commonly-used mosquito cell lines are persistently-infected with several viruses. This finding may be critical to interpreting data generated in these systems.