SGS1, the Saccharomyces cerevisiae homologue of BLM and WRN, suppresses genome instability and homeologous recombination

The Escherichia coli gene recQ was identified as a RecF recombination pathway gene. The gene SGS1, encoding the only RecQ-like DNA helicase in Saccharomyces cerevisiae, was identified by mutations that suppress the top3 slow-growth phenotype. Relatively little is known about the function of Sgs1p because single mutations in SGS1 do not generally cause strong phenotypes. Mutations in genes encoding RecQ-like DNA helicases such as the Bloom and Werner syndrome genes, BLM and WRN, have been suggested to cause increased genome instability. But the exact DNA metabolic defect that might underlie such genome instability has remained unclear. To better understand the cellular role of the RecQ-like DNA helicases, sgs1 mutations were analyzed for their effect on genome rearrangements. Mutations in SGS1 increased the rate of accumulating gross chromosomal rearrangements (GCRs), including translocations and deletions containing extended regions of imperfect homology at their breakpoints. sgs1 mutations also increased the rate of recombination between DNA sequences that had 91% sequence homology. Epistasis analysis showed that Sgs1p is redundant with DNA mismatch repair (MMR) for suppressing GCRs and for suppressing recombination between divergent DNA sequences. This suggests that defects in the suppression of rearrangements involving divergent, repeated sequences may underlie the genome instability seen in BLM and WRN patients and in cancer cases associated with defects in these genes.     

Iron on the brain

Accumulations of iron are often detected in the brains of people suffering from neurodegenerative diseases. But it is often not known whether such accumulations contribute directly to disease progression. The identification of the genes mutated in two such disorders suggests that errors in iron metabolism do indeed have a key role.     

High frequency of homoplasmic mitochondrial DNA mutations in human tumors can be explained without selection

Researchers in several laboratories have reported a high frequency of homoplasmic mitochondrial DNA (mtDNA) mutations in human tumors. This observation has been interpreted to reflect a replicative advantage for mutated mtDNA copies, a growth advantage for a cell containing certain mtDNA mutations, and/or tumorigenic properties of mtDNA mutations. We consider another possibility-that the observed homoplasmy arose entirely by chance in tumor progenitor cells, without any physiological advantage or tumorigenic requirement. Through extensive computer modeling, we demonstrate that there is sufficient opportunity for a tumor progenitor cell to achieve homoplasmy through unbiased mtDNA replication and sorting during cell division. To test our model in vivo, we analyzed mtDNA homoplasmy in healthy human epithelial tissues and discovered that the model correctly predicts the considerable observed frequency of homoplasmic cells. Based on the available data on mitochondrial mutant fractions and cell division kinetics, we show that the predicted frequency of homoplasmy in tumor progenitor cells in the absence of selection is similar to the reported frequency of homoplasmic mutations in tumors. Although a role for other mechanisms is not excluded, random processes are sufficient to explain the incidence of homoplasmic mtDNA mutations in human tumors.     

Failure to confirm NOTCH4 association with schizophrenia in a large population-based sample from Scotland

The NOTCH4 gene was recently reported to be associated with schizophrenia based on TDT analysis of 80 British trios. The strongest evidence for association derived from two microsatellites. We genotyped both loci in a large sample of unrelated Scottish schizophrenics and controls, but failed to replicate the reported association, finding instead that each putative schizophrenia-associated allele had a somewhat lower frequency in schizophrenics than in controls.     

A 5-bp deletion in ELOVL4 is associated with two related forms of autosomal dominant macular dystrophy

Stargardt-like macular dystrophy (STGD3, MIM 600110) and autosomal dominant macular dystrophy (adMD) are inherited forms of macular degeneration characterized by decreased visual acuity, macular atrophy and extensive fundus flecks. Genetic mapping data suggest that mutations in a single gene may be responsible for both conditions, already known to bear clinical resemblance. Here we limit the minimum genetic region for STGD3 and adMD to a 0.6-cM interval by recombination breakpoint mapping and identify a single 5-bp deletion within the protein-coding region of a new retinal photoreceptor-specific gene, ELOVL4, in all affected members of STGD3 and adMD families. Bioinformatic analysis of ELOVL4 revealed that it has homology to a group of yeast proteins that function in the biosynthesis of very long chain fatty acids. Our results are therefore the first to implicate the biosynthesis of fatty acids in the pathogenesis of inherited macular degeneration.     

A radiation hybrid map of mouse genes

A comprehensive gene-based map of a genome is a powerful tool for genetic studies and is especially useful for the positional cloning and positional candidate approaches. The availability of gene maps for multiple organisms provides the foundation for detailed conserved-orthology maps showing the correspondence between conserved genomic segments. These maps make it possible to use cross-species information in gene hunts and shed light on the evolutionary forces that shape the genome. Here we report a radiation hybrid map of mouse genes, a combined project of the Whitehead Institute/Massachusetts Institute of Technology Center for Genome Research, the Medical Research Council UK Mouse Genome Centre, and the National Center for Biotechnology Information. The map contains 11,109 genes, screened against the T31 RH panel and positioned relative to a reference map containing 2,280 mouse genetic markers. It includes 3,658 genes homologous to the human genome sequence and provides a framework for overlaying the human genome sequence to the mouse and for sequencing the mouse genome.     

An SSLP marker-anchored BAC framework map of the mouse genome

We have constructed a BAC framework map of the mouse genome consisting of 2,808 PCR-confirmed BAC clusters, using a previously described method. Fingerprints of BACs from selected clusters confirm the accuracy of the map. Combined with BAC fingerprint data, the framework map covers 37% of the mouse genome.     

TGF-beta signaling in tumor suppression and cancer progression

Epithelial and hematopoietic cells have a high turnover and their progenitor cells divide continuously, making them prime targets for genetic and epigenetic changes that lead to cell transformation and tumorigenesis. The consequent changes in cell behavior and responsiveness result not only from genetic alterations such as activation of oncogenes or inactivation of tumor suppressor genes, but also from altered production of, or responsiveness to, stimulatory or inhibitory growth and differentiation factors. Among these, transforming growth factor beta (TGF-beta) and its signaling effectors act as key determinants of carcinoma cell behavior. The autocrine and paracrine effects of TGF-beta on tumor cells and the tumor micro-environment exert both positive and negative influences on cancer development. Accordingly, the TGF-beta signaling pathway has been considered as both a tumor suppressor pathway and a promoter of tumor progression and invasion. Here we evaluate the role of TGF-beta in tumor development and attempt to reconcile the positive and negative effects of TGF-beta in carcinogenesis.     

Mouse models of cell death

Cell death is critical for the development and orderly maintenance of cellular homeostasis in metazoans. Developmental genetics in model systems, including Caenorhabditis elegans and Drosophila melanogaster, have helped to identify and order the components of cell-death pathways. An even more complex network of apoptotic pathways has evolved in higher organisms that possess homologs within each set of cell-death regulators. Whereas biochemical studies provide details of molecular mechanisms, genetic models reveal the essential physiologic roles. Transgenic and gene-ablated mice have helped to elucidate mammalian apoptotic pathways and identify the principal effect of each cell death regulator. Here, we review the details of the apoptotic machinery as revealed by mice deficient in critical components of cell-death pathways; we concentrate on cell-death regulators classified as members of the caspase and Bcl2 families or, broadly, as adaptors and mitochondrial released factors.