Analytical methods are very important in the control of genetically modified organism (GMO) labeling systems or living modified organism (LMO) management for biotech crops. Event-specific primers and probes were developed for qualitative and quantitative analysis for biotech maize event 3272 and LY 038 on the basis of the 3' flanking regions, respectively. The qualitative primers confirmed the specificity by a single PCR product and sensitivity to 0.05% as a limit of detection (LOD). Simplex and duplex quantitative methods were also developed using TaqMan real-time PCR. One synthetic plasmid was constructed from two taxon-specific DNA sequences of maize and two event-specific 3' flanking DNA sequences of event 3272 and LY 038 as reference molecules. In-house validation of the quantitative methods was performed using six levels of mixing samples, from 0.1 to 10.0%. As a result, the biases from the true value and the relative deviations were all within the range of +/-30%. Limits of quantitation (LOQs) of the quantitative methods were all 0.1% for simplex real-time PCRs of event 3272 and LY 038 and 0.5% for duplex real-time PCR of LY 038. This study reports that event-specific analytical methods were applicable for qualitative and quantitative analysis for biotech maize event 3272 and LY 038.
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http://dx.doi.org/10.1021/jf901078d | DOI Listing |
J Chem Theory Comput
December 2024
Atomistic Simulations, Italian Institute of Technology, Genova 16152, Italy.
Enhanced sampling simulations make the computational study of rare events feasible. A large family of such methods crucially depends on the definition of some collective variables (CVs) that could provide a low-dimensional representation of the relevant physics of the process. Recently, many methods have been proposed to semiautomatize the CV design by using machine learning tools to learn the variables directly from the simulation data.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2025
Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. Electronic address:
Background And Objective: Predicting post-operative flow is essential for assessing the risk of adverse events in cerebrovascular stenosis patients following endovascular treatment (EVT). This study aimed to evaluate the accuracy of the CFD simulation model in predicting post-operative velocity, flow and pressure distal to a stenosis, based on cerebrovascular microcirculatory resistance.
Methods: The patient-specific models of the extracranial and intracranial arteries were reconstructed.
Dermatol Ther (Heidelb)
November 2024
Zhaoke Ophthalmology Limited, Unit 716, 7/F, Building 12W, Phase 3, Hong Kong Science Park, Shatin, 999077, Hong Kong SAR, China.
Diabetes Care
December 2024
Institute of Metabolic Science-Metabolic Research Laboratories, University of Cambridge, Cambridge, U.K.
Objective: We aimed to evaluate the longer-term safety and efficacy of hybrid closed-loop (CL) therapy in very young children with type 1 diabetes (T1D).
Research Design And Methods: Following a 16-week multinational, randomized crossover trial comparing hybrid CL with sensor-augmented pump (SAP) therapy in 74 very young children aged 1-7 years with T1D, participants were invited to an extension phase using CL for a further 18 months. Outcomes were compared with the primary-phase SAP period and primary-phase CL period.
Pharmacol Res
November 2024
Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Laboratory for Psychiatric Neurogenomics, McLean Hospital, Belmont, MA, USA.
Baseline severity of alcohol use disorder (AUD) is an influencing factor in the response to medications recommended for the treatment of AUD. The scarce efficacy of AUD medications partly justifies their limited uses. We were interested in evaluating the efficacy of approved and recommended AUD medications using generic inverse-variance, an analysis facilitating comparison between medications and placebo both at the end of the study and, concomitantly, to baseline values for the same participants.
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