DOUBLE-STRAND BREAK REPAIR PATHWAYS IN DNA STRUCTURE-INDUCED GENETIC INSTABILITY

Genetic instability in mammalian cells can occur by many different mechanisms. In the absence of exogenous sources of DNA damage, the DNA structure itself has been implicated in genetic instability. When the canonical B-DNA helix is naturally altered to form a non-canonical DNA structure such as a Z-DNA or H-DNA, this can lead to genetic instability in the form of DNA double-strand breaks (DSBs) (1, 2). Our laboratory found that the stability of these non-B DNA structures was different in mammals versus Escherichia coli (E.coli) bacteria (1, 2). One explanation for the difference between these species may be a result of how DSBs are repaired within each species. Non-homologous end-joining (NHEJ) is primed to repair DSBs in mammalian cells, while bacteria that lack NHEJ (such as E.coli), utilize homologous recombination (HR) to repair DSBs. To investigate the role of the error-prone NHEJ repair pathway in DNA structure-induced genetic instability, E.coli cells were modified to express genes to allow for a functional NHEJ system under different HR backgrounds. The Mycobacterium tuberculosis NHEJ sufficient system is composed of Ku and Ligase D (LigD) (3). These inducible NHEJ components were expressed individually and together in E.coli cells, with or without functional HR (RecA/RecB), and the Z-DNA and H-DNA-induced mutations were characterized. The Z-DNA structure gave rise to higher mutation frequencies compared to the controls, regardless of the DSB repair pathway(s) available; however, the type of mutants produced after repair was greatly dictated on the available DSB repair system, indicated by the shift from 2% large-scale deletions in the total mutant population to 24% large-scale deletions when NHEJ was present (4). This suggests that NHEJ has a role in the large deletions induced by Z-DNA-forming sequences. H-DNA structure, however, did not exhibit an increase in mutagenesis in the newly engineered E.coli environment, suggesting the involvement of other factors in regulating H-DNA formation/stability in bacterial cells. Accurate repair by established DNA DSB repair pathways is essential to maintain the stability of eukaryotic and prokaryotic genomes and our results suggest that an error-prone NHEJ pathway was involved in non-B DNA structure-induced mutagenesis in both prokaryotes and eukaryotes.

Functional studies on DNA double-strand break repair proteins (MmRad51, Ku80) in mice

RecA in Escherichia coli and it's homologue, ScRad51 in Saccharomyces cerevisiae, play important roles in recombinational repair. ScRad51 homologues have been discovered in a wide range of organisms including Schizosaccharomyces pombe, lily, chicken, mouse and human. To date there is no direct evidence to describe that mouse Rad51(MmRad51) is involved in DNA double-strand break repair. In order to elucidate the role of MmRad51 in vivo, it was mutated by the embryonic stem (ES) cell/gene targeting technology in mice. The mutant embryos arrested in development shortly after implantation. There was a decrease in cell proliferation followed by programmed cell death, and trophectoderm-derived cells were sensitive to $\gamma$-radiation. Severe chromosome loss was observed in most mitotically dividing cells. The mutant embryos lived longer and developed further in a p53 mutant background; however, double-mutant embryonic fibroblasts failed to proliferate in tissue culture, reflecting the embryos limited life span. Based on these data, MmRad51 repairs DNA damage induced by $\gamma$-radiation, is needed to maintain euplody, and plays an important role in proliferating cells.^ Ku is a heterodimer of 70 and 80 kDs subunit, which binds to DNA ends and other altered DNA structures such as hairpins, nicks, and gaps. In addition, Ku is required for DNA-PK activity through a direct association. Although the biochemical properties of Ku and DNA-PKcs have been characterized in cells, their physiological functions are not clear. In order to understand the function of Ku in vivo, we generated mice homozygous for a mutation of the Ku80 gene. Ku80-deficient mice, like scid mice, showed severe immunodeficiency due to a impairment of V(D)J recombination. Mutant mice were semiviable and runted, cells derived from mutant embryos displayed hypersensitivity to $\gamma$-radiation, a decreased growth rate, a slow entry into S phase, altered colony size distributions, and a short life span. Based on these results, mutant cells and mice appeared to prematurely age. ^

Elucidation of the role of 53BP1 in DNA double strand break (DSB) repair and tumor suppression

The protein p53 binding protein one (53BP1) was discovered in a yeast two-hybrid screen that used the DNA binding domain of p53 as bait. Cloning of full-length 53BP1 showed that this protein contains several protein domains which help make up the protein, which include two tandem BRCT domains and a amino-terminal serine/glutamine cluster domain (SCD). These are two protein domains are often seen in factors that are involved in the cellular response to DNA damage and control of cell cycle checkpoints and we hypothesize that 53BP1 is involved in the cellular response to DNA damage. In support of this hypothesis we observe that 53BP1 is phosphorylated and undergoes a dramatic nuclear re-localization in response to DNA damaging agents. 53BP1 also interacts with several factors that are important in the cellular response to DNA damage, such as the BRCA1 tumor suppressor, ATM and Rad3 related (ATR), and the phosphorylated version of the histone variant H2AX. Mice deficient in 53BP1 display increased sensitivity ionizing radiation (IR), a DNA damaging agent that introduces DNA double strand breaks (DSBs). In addition, 53BP1-deficient mice do not properly undergo the process of class switch recombination (CSR). We also observe that when a defect in 53BP1 is combined with a defect in p53; the resulting mice have an increased rate of formation of spontaneous tumors, notably the formation of B and T lineage lymphomas. The T lineage tumors arise by two distinct mechanisms: one driven by defects in cell cycle regulation and a second driven by defects in the ability to repair DNA DSBs. The B lineage tumors arise by the inability to repair DNA damage and over-expression of the oncogene c-myc. ^ With these observations, we conclude that not only does 53BP1 function in the cellular response to DNA damage, but it also works in concert with p53 to suppress tumor formation. ^

Emerging roles for the double strand break repair protein 53BP1 in transcriptional regulation

Disruption of the mechanisms that regulate cell-cycle checkpoints, DNA repair, and apoptosis results in genomic instability and often leads to the development of cancer. In response to double stranded breaks (DSBs) as induced by ionizing radiation (IR), generated during DNA replication, or through immunoglobulin heavy chain (IgH) rearrangements in T and B cells of lymphoid origin, the protein kinases ATM and ATR are central players that activate signaling pathways leading to DSB repair. p53 binding protein 1 (53BP1) participates in the repair of DNA double stranded breaks (DSBs) where it is recruited to or near sites of DNA damage. In addition to its well established role in DSB repair, multiple lines of evidence implicate 53BP1 in transcription which stem from its initial discovery as a p53 binding protein in a yeast two-hybrid screen. However, the mechanisms behind the role of 53BP1 in these processes are not well understood. ^ 53BP1 possesses several motifs that are likely important for its role in DSB repair including two BRCA1 C-terminal repeats, tandem Tudor domains, and a variety of phosphorylation sites. In addition to these motifs, we identified a glycine and arginine rich region (GAR) upstream of the Tudor domains, a sequence that is oftentimes serves as a site for protein arginine methylation. The focus of this project was to characterize the methylation of 53BP1 and to evaluate how methylation influenced the role of 53BP1 as a tumor suppressor. ^ Using a variety of biochemical techniques, we demonstrated that 53BP1 is methylated by the PRMT1 methyltransferase in vivo. Moreover, GAR methylation occurs on arginine residues in an asymmetric manner. We further show that sequences upstream of the Tudor domains that do not include the GAR stretch are sufficient for 53BP1 oligomerization in vivo. While investigating the role of arginine methylation in 53BP1 function, we discovered that 53BP1 associates with proteins of the general transcription apparatus as well as to other factors implicated in coordinating transcription with chromatin function. Collectively, these data support a role for 53BP1 in regulating transcription and provide insight into the possible mechanisms by which this occurs. ^

A community-based assessment of the spatiotemporal distribution of influenza in a U.S.-Mexico border county during the spring 2009 novel H1N1 swine-origin influenza A pandemic

This study retrospectively evaluated the spatial and temporal disease patterns associated with influenza-like illness (ILI), positive rapid influenza antigen detection tests (RIDT), and confirmed H1N1 S-OIV cases reported to the Cameron County Department of Health and Human Services between April 26 and May 13, 2009 using the space-time permutation scan statistic software SaTScan in conjunction with geographical information system (GIS) software ArcGIS 9.3. The rate and age-adjusted relative risk of each influenza measure was calculated and a cluster analysis was conducted to determine the geographic regions with statistically higher incidence of disease. A Poisson distribution model was developed to identify the effect that socioeconomic status, population density, and certain population attributes of a census block-group had on that area's frequency of S-OIV confirmed cases over the entire outbreak. Predominant among the spatiotemporal analyses of ILI, RIDT and S-OIV cases in Cameron County is the consistent pattern of a high concentration of cases along the southern border with Mexico. These findings in conjunction with the slight northward space-time shifts of ILI and RIDT cluster centers highlight the southern border as the primary site for public health interventions. Finally, the community-based multiple regression model revealed that three factors—percentage of the population under age 15, average household size, and the number of high school graduates over age 25—were significantly associated with laboratory-confirmed S-OIV in the Lower Rio Grande Valley. Together, these findings underscore the need for community-based surveillance, improve our understanding of the distribution of the burden of influenza within the community, and have implications for vaccination and community outreach initiatives.^