162 research outputs found
Use of positive selection methods for discovery and improvement of nitroreductase enzymes for cancer gene therapy
Bacterial nitroreductases are members of a diverse family of oxidoreductase enzymes that are capable of activating nitroaromatic compounds, including anticancer prodrugs such as CB 1954 and PR-104A. This capability is useful in the anti-cancer gene therapy strategy known as gene-directed enzyme prodrug therapy (GDEPT), which involves the killing of tumour cells through activation of an inert prodrug to its cytotoxic form, following selective delivery of a genetically encoded prodrug-converting enzyme to cancerous tissues. A key limitation in nitroreductase-based GDEPT has been the inability to rapidly and non-invasively determine vector localisation and gene delivery prior to systemic administration of prodrug. To address this we have developed dual-purpose nitroreductases that exhibit the ability to efficiently activate both GDEPT prodrugs and next-generation radioisotope-labelled PET imaging probes, in a manner that renders the probes temporarily cell-entrapped for detection using a PET scanner. This capability places greater control of the therapy in the hands of the clinician, and will facilitate clinical development of this treatment. One key focus has been the engineering of more efficient enzymes using both random and targeted mutagenesis strategies. A complementary strategy has been the discovery of novel nitroreductases through the screening of metagenomic fragments of DNA from the unculturable bacteria present in New Zealand soil. To enable efficient screening of these libraries, we have developed an array of genetic and biochemical tools for the rapid selection of active nitroreductases. Here we have investigated the effectiveness of these different approaches for improving nitroreductase activity, and demonstrate their utility in improving activity with specific target substrates including next- generation prodrugs and PET imaging probes
Discovery and evolution of primordial antibiotic resistance genes from soil microbes
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Accessing bacterial dark matter for improved enzyme discovery and engineering
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The remnants of galaxy formation from a panoramic survey of the region around M31
In hierarchical cosmological models, galaxies grow in mass through the
continual accretion of smaller ones. The tidal disruption of these systems is
expected to result in loosely bound stars surrounding the galaxy, at distances
that reach times the radius of the central disk. The number,
luminosity and morphology of the relics of this process provide significant
clues to galaxy formation history, but obtaining a comprehensive survey of
these components is difficult because of their intrinsic faintness and vast
extent. Here we report a panoramic survey of the Andromeda galaxy (M31). We
detect stars and coherent structures that are almost certainly remnants of
dwarf galaxies destroyed by the tidal field of M31. An improved census of their
surviving counterparts implies that three-quarters of M31's satellites brighter
than await discovery. The brightest companion, Triangulum (M33), is
surrounded by a stellar structure that provides persuasive evidence for a
recent encounter with M31. This panorama of galaxy structure directly confirms
the basic tenets of the hierarchical galaxy formation model and reveals the
shared history of M31 and M33 in the unceasing build-up of galaxies.Comment: Published in Nature. Supplementary movie available at
https://www.astrosci.ca/users/alan/PANDAS/Latest%20news%3A%20movie%20of%20orbit.htm
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Genome-Wide Association Scan for Diabetic Nephropathy Susceptibility Genes in Type 1 Diabetes
OBJECTIVE—Despite extensive evidence for genetic susceptibility
to diabetic nephropathy, the identification of susceptibility
genes and their variants has had limited success. To search for
genes that contribute to diabetic nephropathy, a genome-wide
association scan was implemented on the Genetics of Kidneys in
Diabetes collection.
RESEARCH DESIGN AND METHODS—We genotyped
360,000 single nucleotide polymorphisms (SNPs) in 820 case
subjects (284 with proteinuria and 536 with end-stage renal
disease) and 885 control subjects with type 1 diabetes. Confirmation
of implicated SNPs was sought in 1,304 participants of the
Diabetes Control and Complications Trial (DCCT)/Epidemiology
of Diabetes Interventions and Complications (EDIC) study, a
long-term, prospective investigation of the development of diabetes-
associated complications.
RESULTS—A total of 13 SNPs located in four genomic loci were
associated with diabetic nephropathy with P1105. The
strongest association was at the FRMD3 (4.1 protein ezrin,
radixin, moesin [FERM] domain containing 3) locus (odds ratio
[OR]1.45, P5.0107). A strong association was also
identified at the CARS (cysteinyl-tRNA synthetase) locus (OR
1.36, P3.1106). Associations between both loci and time to
onset of diabetic nephropathy were supported in the DCCT/EDIC
study (hazard ratio [HR]1.33, P0.02, and HR1.32, P
0.01, respectively). We demonstrated expression of both FRMD3
and CARS in human kidney.
CONCLUSIONS—We identified genetic associations for susceptibility
to diabetic nephropathy at two novel candidate loci near
the FRMD3 and CARS genes. Their identification implicates
previously unsuspected pathways in the pathogenesis of this
important late complication of type 1 diabetes
Care-Related Risk Factors for Hospital-Acquired Pressure Ulcers in Elderly Adults with Hip Fracture
To identify care-related factors associated with increased incidence of hospital-acquired pressure ulcers (HAPU
Estimation of Short-Term Effects of Air Pollution on Stroke Hospital Admissions in Wuhan, China
Background and Objective:High concentrations of air pollutants have been linked to increased incidence of stroke in North America and Europe but not yet assessed in mainland China. The aim of this study is to evaluate the association between stroke hospitalization and short-term elevation of air pollutants in Wuhan, China.Methods:Daily mean NO2, SO2 and PM10 levels, temperature and humidity were obtained from 2006 through 2008. Data on stroke hospitalizations (ICD 10: I60-I69) at four hospitals in Wuhan were obtained for the same period. A time-stratified case-crossover design was performed by season (April-September and October-March) to assess effects of pollutants on stroke hospital admissions.Results:Pollution levels were higher in October-March with averages of 136.1 μg/m3 for PM10, 63.6 μg/m3 for NO2 and 71.0 μg/m3 for SO2 than in April-September when averages were 102.0 μg/m3, 41.7 μg/m3 and 41.7 μg/m3, respectively (p<.001). During the cold season, every 10 μg/m3 increase in NO2 was associated with a 2.9% (95%C.I. 1.2%-4.6%) increase in stroke admissions on the same day. Every 10 ug/m3 increase in PM10 daily concentration was significantly associated with an approximate 1% (95% C.I. 0.1%-1.4%) increase in stroke hospitalization. A two-pollutant model indicated that NO2 was associated with stroke admissions when controlling for PM10. During the warm season, no significant associations were noted for any of the pollutants.Conclusions:Exposure to NO2 is significantly associated with stroke hospitalizations during the cold season in Wuhan, China when pollution levels are 50% greater than in the warm season. Larger and multi-center studies in Chinese cities are warranted to validate our findings. © 2013 Xiang et al
Does diet affect breast cancer risk?
The role of specific dietary factors in breast cancer causation is not completely resolved. Results from prospective studies do not support the concept that fat intake in middle life has a major relation to breast cancer risk. However, weight gain in middle life contributes substantially to breast cancer risk. Alcohol is the best established dietary risk factor, probably by increasing endogenous estrogen levels. Hypotheses relating diet during youth to risk decades later will be difficult to test. Nevertheless, available evidence is strong that breast cancer risk can be reduced by avoiding weight gain during adult years, and by limiting alcohol consumption
Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals
Platelet production, maintenance, and clearance are tightly controlled processes indicative of platelets important roles in hemostasis and thrombosis. Platelets are common targets for primary and secondary prevention of several conditions. They are monitored clinically by complete blood counts, specifically with measurements of platelet count (PLT) and mean platelet volume (MPV). Identifying genetic effects on PLT and MPV can provide mechanistic insights into platelet biology and their role in disease. Therefore, we formed the Blood Cell Consortium (BCX) to perform a large-scale meta-analysis of Exomechip association results for PLT and MPV in 157,293 and 57,617 individuals, respectively. Using the low-frequency/rare coding variant-enriched Exomechip genotyping array, we sought to identify genetic variants associated with PLT and MPV. In addition to confirming 47 known PLT and 20 known MPV associations, we identified 32 PLT and 18 MPV associations not previously observed in the literature across the allele frequency spectrum, including rare large effect (FCER1A), low-frequency (IQGAP2, MAP1A, LY75), and common (ZMIZ2, SMG6, PEAR1, ARFGAP3/PACSIN2) variants. Several variants associated with PLT/MPV (PEAR1, MRVI1, PTGES3) were also associated with platelet reactivity. In concurrent BCX analyses, there was overlap of platelet-associated variants with red (MAP1A, TMPRSS6, ZMIZ2) and white (PEAR1, ZMIZ2, LY75) blood cell traits, suggesting common regulatory pathways with shared genetic architecture among these hematopoietic lineages. Our large-scale Exomechip analyses identified previously undocumented associations with platelet traits and further indicate that several complex quantitative hematological, lipid, and cardiovascular traits share genetic factors
Genetic determinants of telomere length from 109,122 ancestrally diverse whole-genome sequences in TOPMed
Genetic studies on telomere length are important for understanding age-related diseases. Prior GWAS for leukocyte TL have been limited to European and Asian populations. Here, we report the first sequencing-based association study for TL across ancestrally-diverse individuals (European, African, Asian and Hispanic/Latino) from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program. We used whole genome sequencing (WGS) of whole blood for variant genotype calling and the bioinformatic estimation of telomere length in n=109,122 individuals. We identified 59 sentinel variants (p-value OBFC1indicated the independent signals colocalized with cell-type specific eQTLs for OBFC1 (STN1). Using a multi-variant gene-based approach, we identified two genes newly implicated in telomere length, DCLRE1B (SNM1B) and PARN. In PheWAS, we demonstrated our TL polygenic trait scores (PTS) were associated with increased risk of cancer-related phenotypes
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