Widespread aneuploidy revealed by DNA microarray expression profiling

Expression profiling using DNA microarrays holds great promise for a variety of research applications, including the systematic characterization of genes discovered by sequencing projects. To demonstrate the general usefulness of this approach, we recently obtained expression profiles for nearly 300 Saccharomyces cerevisiae deletion mutants. Approximately 8% of the mutants profiled exhibited chromosome-wide expression biases, leading to spurious correlations among profiles. Competitive hybridization of genomic DNA from the mutant strains and their isogenic parental wild-type strains showed they were aneuploid for whole chromosomes or chromosomal segments. Expression profile data published by several other laboratories also suggest the use of aneuploid strains. In five separate cases, the extra chromosome harboured a close homologue of the deleted gene; in two cases, a clear growth advantage for cells acquiring the extra chromosome was demonstrated. Our results have implications for interpreting whole-genome expression data, particularly from cells known to suffer genomic instability, such as malignant or immortalized cells.     

Detection of an unstable fragment of DNA specific to individuals with myotonic dystrophy.

Myotonic dystrophy (DM) is the most common form of adult muscular dystrophy, with a prevalence of 2-14 per 100,000 individuals. The disease is characterized by progressive muscle weakness and sustained muscle contraction, often with a wide range of accompanying symptoms. The age at onset and severity of the disease show extreme variation, both within and between families. Despite its clinical variability, this dominant condition segregates as a single locus at chromosome 19q13.3 in every population studied. It is flanked by the tightly linked genetic markers ERCC1 proximally and D19S51 distally; these define the DM critical region. We report the isolation of an expressed sequence from this region which detects a DNA fragment that is larger in affected individuals than in normal siblings or unaffected controls. The size of this fragment varies between affected siblings, and increases in size through generations in parallel with increasing severity of the disease. We postulate that this unstable DNA sequence is the molecular feature that underlies DM.     

Crude-oil biodegradation via methanogenesis in subsurface petroleum reservoirs

Biodegradation of crude oil in subsurface petroleum reservoirs has adversely affected the majority of the world's oil, making recovery and refining of that oil more costly. The prevalent occurrence of biodegradation in shallow subsurface petroleum reservoirs has been attributed to aerobic bacterial hydrocarbon degradation stimulated by surface recharge of oxygen-bearing meteoric waters. This hypothesis is empirically supported by the likelihood of encountering biodegraded oils at higher levels of degradation in reservoirs near the surface. More recent findings, however, suggest that anaerobic degradation processes dominate subsurface sedimentary environments, despite slow reaction kinetics and uncertainty as to the actual degradation pathways occurring in oil reservoirs. Here we use laboratory experiments in microcosms monitoring the hydrocarbon composition of degraded oils and generated gases, together with the carbon isotopic compositions of gas and oil samples taken at wellheads and a Rayleigh isotope fractionation box model, to elucidate the probable mechanisms of hydrocarbon degradation in reservoirs. We find that crude-oil hydrocarbon degradation under methanogenic conditions in the laboratory mimics the characteristic sequential removal of compound classes seen in reservoir-degraded petroleum. The initial preferential removal of n-alkanes generates close to stoichiometric amounts of methane, principally by hydrogenotrophic methanogenesis. Our data imply a common methanogenic biodegradation mechanism in subsurface degraded oil reservoirs, resulting in consistent patterns of hydrocarbon alteration, and the common association of dry gas with severely degraded oils observed worldwide. Energy recovery from oilfields in the form of methane, based on accelerating natural methanogenic biodegradation, may offer a route to economic production of difficult-to-recover energy from oilfields.     

Bioportide: an emergent concept of bioactive cell-penetrating peptides

Cell-penetrating peptides (CPPs) have proven utility for the highly efficient intracellular delivery of bioactive cargoes that include peptides, proteins, and oligonucleotides. The many strategies developed to utilize CPPs solely as pharmacokinetic modifiers necessarily requires them to be relatively inert. Moreover, it is feasible to combine one or multiple CPPs with bioactive cargoes either by direct chemical conjugation or, more rarely, as non-covalent complexes. In terms of the message-address hypothesis, this combination of cargo (message) linked to a CPP (address) as a tandem construct conforms to the sychnological organization. More recently, we have introduced the term bioportide to describe monomeric CPPs that are intrinsically bioactive. Herein, we describe the design and biochemical properties of two rhegnylogically organized monometic CPPs that collectively modulate a variety of biological and pathophysiological phenomena. Thus, camptide, a cell-penetrant sequence located within the first intracellular loop of a human calcitonin receptor, regulates cAMP-dependent processes to modulate insulin secretion and viral infectivity. Nosangiotide, a bioportide derived from endothelial nitric oxide synthase, potently inhibits many aspects of the endothelial cell morphology and movement and displays potent anti-angiogenic activity in vivo. We conclude that, due to their capacity to translocate and target intracellular signaling events, bioportides represent an innovative generic class of bioactive agents.     

MAPK pathway activation in pilocytic astrocytoma

Pilocytic astrocytoma (PA) is the most common tumor of the pediatric central nervous system (CNS). A body of research over recent years has demonstrated a key role for mitogen-activated protein kinase (MAPK) pathway signaling in the development and behavior of PAs. Several mechanisms lead to activation of this pathway in PA, mostly in a mutually exclusive manner, with constitutive BRAF kinase activation subsequent to gene fusion being the most frequent. The high specificity of this fusion to PA when compared with other CNS tumors has diagnostic utility. In addition, the frequency of alteration of this key pathway provides an opportunity for molecularly targeted therapy in this tumor. Here, we review the current knowledge on mechanisms of MAPK activation in PA and some of the downstream consequences of this activation, which are now starting to be elucidated both in vitro and in vivo, as well as clinical considerations and possible future directions.     

Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease

We sought to identify new susceptibility loci for Alzheimer's disease through a staged association study (GERAD+) and by testing suggestive loci reported by the Alzheimer's Disease Genetic Consortium (ADGC) in a companion paper. We undertook a combined analysis of four genome-wide association datasets (stage 1) and identified ten newly associated variants with P ≤ 1 × 10(-5). We tested these variants for association in an independent sample (stage 2). Three SNPs at two loci replicated and showed evidence for association in a further sample (stage 3). Meta-analyses of all data provided compelling evidence that ABCA7 (rs3764650, meta P = 4.5 × 10(-17); including ADGC data, meta P = 5.0 × 10(-21)) and the MS4A gene cluster (rs610932, meta P = 1.8 × 10(-14); including ADGC data, meta P = 1.2 × 10(-16)) are new Alzheimer's disease susceptibility loci. We also found independent evidence for association for three loci reported by the ADGC, which, when combined, showed genome-wide significance: CD2AP (GERAD+, P = 8.0 × 10(-4); including ADGC data, meta P = 8.6 × 10(-9)), CD33 (GERAD+, P = 2.2 × 10(-4); including ADGC data, meta P = 1.6 × 10(-9)) and EPHA1 (GERAD+, P = 3.4 × 10(-4); including ADGC data, meta P = 6.0 × 10(-10)).