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Whole-genome sequencing of bacteria has recently emerged as a cost-effective and convenient approach for addressing many microbiological questions. Here, we review the current status of clinical microbiology and how it has already begun to be transformed by using next-generation sequencing. We focus on three essential tasks: identifying the species of an isolate, testing its properties, such as resistance to antibiotics and virulence, and monitoring the emergence and spread of bacterial pathogens. We predict that the application of next-generation sequencing will soon be sufficiently fast, accurate and cheap to be used in routine clinical microbiology practice, where it could replace many complex current techniques with a single, more efficient workflow.  相似文献   
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Ethanol was orally administered once per week to 54 gravid pigtailed macaques (Macaca nemestrina) in doses of 0.0, 0.3, 0.6, 1.2, 1.8, 2.5 or 4.1 gm/kg from the 1st week in gestation or in doses of 2.5, 3.3, or 4.1 gm/kg from the 5th week. Mean maternal mean peak plasma ethanol concentrations (MPPEC) ranged from 24 +/- 6 mg/dl at the 0.3 gm/kg dose to 549 +/- 71 mg/dl at the 4.1 gm/kg dose. Thirty-three viable infants were followed from birth to 6 months of age and assessed for growth, health, congenital anomalies and developmental rate. Facial anomalies, growth deficiency, or central nervous system dysfunction were found in 57% of the alcohol-exposed animals. No animal showed all the features of the human fetal alcohol syndrome. Ten of the twelve animals (83%) with mean MPPEC above 140 mg/dl had evidence of a teratogenic impact. The animals with full gestational exposure to ethanol and mean MPPEC between 140 and 249 mg/dl had much more severe and consistent cognitive abnormalities than the animals with delayed gestational exposures, even though the latter were exposed to mean MPPEC between 260 and 540 mg/dl. Conclusions from this study included: 1) ethanol-related behavioral teratogenesis occurred without accompanying physical anomalies, 2) measurable teratogenic effects from weekly exposures occurred only at intoxicating doses of ethanol, and 3) early gestational exposure to ethanol appeared to be more damaging to cognitive function than later and considerably greater alcohol exposure.  相似文献   
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Introduction

Efforts to harmonize lipidomic methodologies have been limited within the community. Here, we aimed to capitalize on the recent National Institute of Standards and Technology lipidomics interlaboratory comparison exercise by implementing a questionnaire that assessed current methodologies, quantitation strategies, standard operating procedures (SOPs), and quality control activities employed by the lipidomics community.

Objectives

Lipidomics is a rapidly developing field with diverse applications. At present, there are no community-vetted methods to assess measurement comparability or data quality. Thus, a major impetus of this questionnaire was to profile current efforts, highlight areas of need, and establish future objectives in an effort to harmonize lipidomics workflows.

Methods

The 54-question survey inquired about laboratory demographics, lipidomic methodologies and SOPs, analytical platforms, quantitation, reference materials, quality control procedures, and opinions regarding challenges existing within the community.

Results

A total of 125 laboratories participated in the questionnaire. A broad overview of results highlighted a wide methodological diversity within current lipidomic workflows. The impact of this diversity on lipid measurement and quantitation is currently unknown and needs to be explored further. While some laboratories do incorporate SOPs and quality control activities, these concepts have not been fully embraced by the community. The top five perceived challenges within the lipidomics community were a lack of standardization amongst methods/protocols, lack of lipid standards, software/data handling and quantification, and over-reporting/false positives.

Conclusion

The questionnaire provided an overview of current lipidomics methodologies and further promoted the need for community-accepted guidelines and protocols. The questionnaire also served as a platform to help determine and prioritize metrological issues to be investigated.
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Over the last decade the availability of SNP-trait associations from genome-wide association studies has led to an array of methods for performing Mendelian randomization studies using only summary statistics. A common feature of these methods, besides their intuitive simplicity, is the ability to combine data from several sources, incorporate multiple variants and account for biases due to weak instruments and pleiotropy. With the advent of large and accessible fully-genotyped cohorts such as UK Biobank, there is now increasing interest in understanding how best to apply these well developed summary data methods to individual level data, and to explore the use of more sophisticated causal methods allowing for non-linearity and effect modification.In this paper we describe a general procedure for optimally applying any two sample summary data method using one sample data. Our procedure first performs a meta-analysis of summary data estimates that are intentionally contaminated by collider bias between the genetic instruments and unmeasured confounders, due to conditioning on the observed exposure. These estimates are then used to correct the standard observational association between an exposure and outcome. Simulations are conducted to demonstrate the method’s performance against naive applications of two sample summary data MR. We apply the approach to the UK Biobank cohort to investigate the causal role of sleep disturbance on HbA1c levels, an important determinant of diabetes.Our approach can be viewed as a generalization of Dudbridge et al. (Nat. Comm. 10: 1561), who developed a technique to adjust for index event bias when uncovering genetic predictors of disease progression based on case-only data. Our work serves to clarify that in any one sample MR analysis, it can be advantageous to estimate causal relationships by artificially inducing and then correcting for collider bias.  相似文献   
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The effect of caffeine (0.25–1.5 mM) on UV-irradiated (5 and 10 J/m2) primary cultures of mouse epidermal cells (EPD) and an in vitro transformed cell line (PDV) was studied at the cellular and molecular levels. A synergistic reduction in cell survival induced by caffeine with UV-irradiation was found in the PDV cells at 10 J/m2 but not at 5 J/m2. When conversion of low molecular weight newly-synthesized DNA to high molecular weight DNA was studied in both cell types, caffeine at 1.5 mM had no effect on this conversion in unirradiated cultures. At 5 J/m2, caffeine had a transitory inhibitory effect on this conversion. However, at 10 J/m2 caffeine had a strong permanent inhibitory effect on this conversion at doses higher than 0.5 mM in PDV cells and higher than 0.25 mM in EPD cells. This apparent inhibition of elongation by caffeine in irradiated cells could not be accounted for by an effect on the rate of DNA synthesis. In PDV cells there was a direct correlation in terms of effective caffeine dose level between synergistic reduction in cell survival after UV and the effect on DNA elongation. Irradiated EPD cells were more sensitive to the inhibitory effect of caffeine on DNA elongation.  相似文献   
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