Understanding cancer drug resistance with Sleeping Beauty functional genomic screens: application to MAPK inhibition in cutaneous melanoma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE226664 | GEO | 2023/03/09
REPOSITORIES: GEO
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Project description:BackgroundAnimal models of cancer are useful to generate complementary datasets for comparison to human tumor data. Insertional mutagenesis screens, such as those utilizing the Sleeping Beauty (SB) transposon system, provide a model that recapitulates the spontaneous development and progression of human disease. This approach has been widely used to model a variety of cancers in mice. Comprehensive mutation profiles are generated for individual tumors through amplification of transposon insertion sites followed by high-throughput sequencing. Subsequent statistical analyses identify common insertion sites (CISs), which are predicted to be functionally involved in tumorigenesis. Current methods utilized for SB insertion site analysis have some significant limitations. For one, they do not account for transposon footprints - a class of mutation generated following transposon remobilization. Existing methods also discard quantitative sequence data due to uncertainty regarding the extent to which it accurately reflects mutation abundance within a heterogeneous tumor. Additionally, computational analyses generally assume that all potential insertion sites have an equal probability of being detected under non-selective conditions, an assumption without sufficient relevant data. The goal of our study was to address these potential confounding factors in order to enhance functional interpretation of insertion site data from tumors.ResultsWe describe here a novel method to detect footprints generated by transposon remobilization, which revealed minimal evidence of positive selection in tumors. We also present extensive characterization data demonstrating an ability to reproducibly assign semi-quantitative information to individual insertion sites within a tumor sample. Finally, we identify apparent biases for detection of inserted transposons in several genomic regions that may lead to the identification of false positive CISs.ConclusionThe information we provide can be used to refine analyses of data from insertional mutagenesis screens, improving functional interpretation of results and facilitating the identification of genes important in cancer development and progression.
| S-EPMC4378557 | biostudies-literature
Project description:BRAF-inhibitor (BRAFi)-resistance compromises long term survivorship of malignant melanoma patients, and mutant NRAS is a major mediator of BRAFi-resistance. We have employed NanoString nCounterTM transcriptomic analysis of isogenic human malignant melanoma cells that differ only by NRAS mutational status (BRAFi-sensitive A375-BRAFV600E/NRASQ61 versus BRAFi-resistant A375-BRAFV600E/NRASQ61K), identifying modulation of specific gene expression networks as a function of NRASQ61K-status.
2021-09-23 | GSE184633 | GEO
Project description:Forward genetic screens using Sleeping Beauty (SB)-mobilized T2/Onc transposons have been used to identify common insertion sites (CISs) associated with tumor formation. Recurrent sites of transposon insertion are commonly identified using ligation-mediated PCR (LM-PCR). Here, we use RNA sequencing (RNA-seq) data to directly identify transcriptional events mediated by T2/Onc. Surprisingly, the majority (∼80%) of LM-PCR identified junction fragments do not lead to observable changes in RNA transcripts. However, in CIS regions, direct transcriptional effects of transposon insertions are observed. We developed an automated method to systematically identify T2/Onc-genome RNA fusion sequences in RNA-seq data. RNA fusion-based CISs were identified corresponding to both DNA-based CISs (Cdkn2a, Mycl1, Nf2, Pten, Sema6d, and Rere) and additional regions strongly associated with cancer that were not observed by LM-PCR (Myc, Akt1, Pth, Csf1r, Fgfr2, Wisp1, Map3k5, and Map4k3). In addition to calculating recurrent CISs, we also present complementary methods to identify potential driver events via determination of strongly supported fusions and fusions with large transcript level changes in the absence of multitumor recurrence. These methods independently identify CIS regions and also point to cancer-associated genes like Braf. We anticipate RNA-seq analyses of tumors from forward genetic screens will become an efficient tool to identify causal events.
| S-EPMC4691744 | biostudies-literature
Project description:The use of mutant mice plays a pivotal role in determining the function of genes, and the recently reported germ line transposition of the Sleeping Beauty (SB) transposon would provide a novel system to facilitate this approach. In this study, we characterized SB transposition in the mouse germ line and assessed its potential for generating mutant mice. Transposition sites not only were clustered within 3 Mb near the donor site but also were widely distributed outside this cluster, indicating that the SB transposon can be utilized for both region-specific and genome-wide mutagenesis. The complexity of transposition sites in the germ line was high enough for large-scale generation of mutant mice. Based on these initial results, we conducted germ line mutagenesis by using a gene trap scheme, and the use of a green fluorescent protein reporter made it possible to select for mutant mice rapidly and noninvasively. Interestingly, mice with mutations in the same gene, each with a different insertion site, were obtained by local transposition events, demonstrating the feasibility of the SB transposon system for region-specific mutagenesis. Our results indicate that the SB transposon system has unique features that complement other mutagenesis approaches.
| S-EPMC309709 | biostudies-literature
Project description:We extracted RNA of 39 mouse tissue of various genotypes and performed expression microarrays. Subsequently a screen was conducted using the Sleeping Beauty (SB) transposon to identify breast cancer candidate genes. 39 mouse samples expression data.
2016-07-03 | E-GEOD-43263 | biostudies-arrayexpress
Project description:Insertional mutagenesis identifies drivers of a novel oncogenic pathway in invasive lobular breast carcinoma
| PRJEB14134 | ENA
Project description:Lentiviral vectors enter cells with high efficiency and deliver stable transduction through integration into host chromosomes, but their preference for integration within actively transcribing genes means that insertional mutagenesis following disruption of host proto-oncogenes is a recognized concern. We have addressed this problem by combining the efficient cell and nuclear entry properties of HIV-1-derived lentiviral vectors with the integration profile benefits of Sleeping Beauty (SB) transposase. Importantly, this integration enzyme does not exhibit a preference for integration within active genes. We generated integrase-deficient lentiviral vectors (IDLVs) to carry SB transposon and transposase expression cassettes. IDLVs were able to deliver transient transposase expression to target cells, and episomal lentiviral DNA was found to be a suitable substrate for integration via the SB pathway. The hybrid vector system allows genomic integration of a minimal promoter-transgene cassette flanked by short SB inverted repeats (IRs) but devoid of HIV-1 long terminal repeats (LTRs) or other virus-derived sequences. Importantly, integration site analysis revealed redirection toward a profile mimicking SB-plasmid integration and away from integration within transcriptionally active genes favored by integrase-proficient lentiviral vectors (ILVs).
| S-EPMC2835211 | biostudies-literature
Project description:We extracted RNA of 39 mouse tissue of various genotypes and performed expression microarrays. Subsequently a screen was conducted using the Sleeping Beauty (SB) transposon to identify breast cancer candidate genes.
2016-01-01 | GSE43263 | GEO
Project description:Transposases are important tools in genome engineering, and there is considerable interest in engineering more efficient ones. Here, we seek to understand the factors determining their activity using the Sleeping Beauty transposase. Recent work suggests that protein coevolutionary information can be used to classify groups of physically connected, coevolving residues into elements called "sectors", which have proven useful for understanding the folding, allosteric interactions, and enzymatic activity of proteins. Using extensive mutagenesis data, protein modeling and analysis of folding energies, we show that (i) The Sleeping Beauty transposase contains two sectors, which span across conserved domains, and are enriched in DNA-binding residues, indicating that the DNA binding and endonuclease functions of the transposase coevolve; (ii) Sector residues are highly sensitive to mutations, and most mutations of these residues strongly reduce transposition rate; (iii) Mutations with a strong effect on free energy of folding in the DDE domain of the transposase significantly reduce transposition rate. (iv) Mutations that influence DNA and protein-protein interactions generally reduce transposition rate, although most hyperactive mutants are also located on the protein surface, including residues with protein-protein interactions. This suggests that hyperactivity results from the modification of protein interactions, rather than the stabilization of protein fold.
| S-EPMC5010145 | biostudies-literature
Project description:Transcriptome analysis of mRNA samples from a cohort of mice with histopathologically diagnosed cutaneous squamous cell carcinoma.
2021-07-29 | GSE141167 | GEO