Dataset Information

Retroviral elements and their hosts: insertional mutagenesis in the mouse germ line.

ABSTRACT: The inbred mouse is an invaluable model for human biology and disease. Nevertheless, when considering genetic mechanisms of variation and disease, it is important to appreciate the significant differences in the spectra of spontaneous mutations that distinguish these species. While insertions of transposable elements are responsible for only approximately 0.1% of de novo mutations in humans, the figure is 100-fold higher in the laboratory mouse. This striking difference is largely due to the ongoing activity of mouse endogenous retroviral elements. Here we briefly review mouse endogenous retroviruses (ERVs) and their influence on gene expression, analyze mechanisms of interaction between ERVs and the host cell, and summarize the variety of mutations caused by ERV insertions. The prevalence of mouse ERV activity indicates that the genome of the laboratory mouse is presently behind in the "arms race" against invasion.

SUBMITTER: Maksakova IA

PROVIDER: S-EPMC1331978 | biostudies-literature | 2006 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Retroviral elements and their hosts: insertional mutagenesis in the mouse germ line.

Maksakova Irina A IA Romanish Mark T MT Gagnier Liane L Dunn Catherine A CA van de Lagemaat Louie N LN Mager Dixie L DL

PLoS genetics 20060101 1

The inbred mouse is an invaluable model for human biology and disease. Nevertheless, when considering genetic mechanisms of variation and disease, it is important to appreciate the significant differences in the spectra of spontaneous mutations that distinguish these species. While insertions of transposable elements are responsible for only approximately 0.1% of de novo mutations in humans, the figure is 100-fold higher in the laboratory mouse. This striking difference is largely due to the ong ...[more]

PMID: 16440055

Similar Datasets

Project description:Retroviral insertional mutagenesis screens, which identify genes involved in tumor development in mice, have yielded a substantial number of retroviral integration sites, and this number is expected to grow substantially due to the introduction of high-throughput screening techniques. The data of various retroviral insertional mutagenesis screens are compiled in the publicly available Retroviral Tagged Cancer Gene Database (RTCGD). Integrally analyzing these screens for the presence of common insertion sites (CISs, i.e., regions in the genome that have been hit by viral insertions in multiple independent tumors significantly more than expected by chance) requires an approach that corrects for the increased probability of finding false CISs as the amount of available data increases. Moreover, significance estimates of CISs should be established taking into account both the noise, arising from the random nature of the insertion process, as well as the bias, stemming from preferential insertion sites present in the genome and the data retrieval methodology. We introduce a framework, the kernel convolution (KC) framework, to find CISs in a noisy and biased environment using a predefined significance level while controlling the family-wise error (FWE) (the probability of detecting false CISs). Where previous methods use one, two, or three predetermined fixed scales, our method is capable of operating at any biologically relevant scale. This creates the possibility to analyze the CISs in a scale space by varying the width of the CISs, providing new insights in the behavior of CISs across multiple scales. Our method also features the possibility of including models for background bias. Using simulated data, we evaluate the KC framework using three kernel functions, the Gaussian, triangular, and rectangular kernel function. We applied the Gaussian KC to the data from the combined set of screens in the RTCGD and found that 53% of the CISs do not reach the significance threshold in this combined setting. Still, with the FWE under control, application of our method resulted in the discovery of eight novel CISs, which each have a probability less than 5% of being false detections.

Project description:The CCAAT enhancer binding protein alpha (C/EBPalpha) transcription factor plays a key role in the regulation of growth and differentiation of the granulocytic lineage in the hematopoietic system and CEBPA (encoding C/EBPalpha) is often mutated or deregulated in AML patients. Consistently, mice lacking C/EBPalpha have no mature neutrophils and die within a few hours. However, homozygous knockin mice in which wild type Cebpa has been replaced with a mutant allele (BRM2), which abolish the growth-repressing ability of C/EBPalpha, are viable, but at 8 weeks of age they display myeloid dysplasia with absence of neutrophil granulocytes. Strikingly, in older CebpaBRM2/BRM2 knockin mice the myeloid dysplastic phenotype progress into other myeloid malignancies such as myeloid proliferative syndrome and acute myeloid leukemia-like malignancy. This strongly suggests that secondary mutations in other loci must occur when developing leukemia in the CebpaBRM2/BRM2. In order to identify genes that cooperate with Cebpa mutations in the development of leukemia in CebpaBRM2/BRM2 mice a so-called retroviral insertion mutagenesis screen was performed. Inbred newborn CebpaBRM2/BRM2 and wildtype mice were injected with SRS19-6 retrovirus, which incorporated into the genome and resulted in activation of oncogenes and leukemic progression. When leukemia was evident the mice were euthanized and analyzed. As expected the CebpaBRM2/BRM2 mice had a shorter latency than wildtype mice (186 vs. 276 days). The mice had enlarged spleen, thymus, and/or lymph nodes and were thoroughly investigated by histology, flow cytometry and southern in order to determine the leukemic phenotypes. Most of the CebpaBRM2/BRM2 mice developed an AML-like phenotype, whereas T cell leukemias were most prominent in wildtype mice, showing that mutating Cebpa specifically directs leukemic progression towards a myeloid direction. Genomic instability was analyzed by CGH. Finally, the retroviral insertion loci were identified through a splinkerette-aided PCR strategy. This led to the identification of several novel putative and previously unexplored oncogenes, which might collaborate with mutated Cebpa in the development of AML. Keywords: Disease state analysis

Dataset Information

Retroviral elements and their hosts: insertional mutagenesis in the mouse germ line.

Publications

Retroviral elements and their hosts: insertional mutagenesis in the mouse germ line.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets