Publications by authors named "A S Edison"

Methods for assessing compound identification confidence in metabolomics and related studies have been debated and actively researched for the past two decades. The earliest effort in 2007 focused primarily on mass spectrometry and nuclear magnetic resonance spectroscopy and resulted in four recommended levels of metabolite identification confidence─the Metabolite Standards Initiative (MSI) Levels. In 2014, the original MSI Levels were expanded to five levels (including two sublevels) to facilitate communication of compound identification confidence in high resolution mass spectrometry studies.

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Article Synopsis
  • Individuals in diverse environments often select microenvironments that enhance their fitness, which can lead to quicker adaptation and greater genetic diversity.
  • The study explores how niche choice and evolution influence the development of insecticide resistance in plant-eating insects using an individual-based model.
  • Findings indicate that targeted oviposition (egg-laying) behavior slows down the evolution of resistance compared to random egg placement, promoting the coexistence of different insect types and suggesting that genetic factors also play a significant role.
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Article Synopsis
  • Robust annotation of compounds is essential in metabolomics, and the INADEQUATE NMR experiment is a powerful yet underused tool for structural elucidation due to the lack of community platforms integrating it with other NMR methods.
  • * PyINETA is introduced as an open-source platform that automates the use of INADEQUATE for structural analysis, integrates it with the C-resolved experiment (C-JRES), and maintains a transparent annotation pipeline.
  • * Evaluation of PyINETA in a mouse study demonstrated its capability to track the distribution of C-labeled amino acids across different tissues, revealing specific metabolite enrichment in organs like the liver and spleen.*
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Methods for assessing compound identification confidence in metabolomics and related studies have been debated and actively researched for the past two decades. The earliest effort in 2007 focused primarily on mass spectrometry and nuclear magnetic resonance spectroscopy and resulted in four recommended levels of metabolite identification confidence - the Metabolite Standards Initiative (MSI) Levels. In 2014, the original MSI Levels were expanded to five levels (including two sublevels) to facilitate communication of compound identification confidence in high resolution mass spectrometry studies.

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Annotating compounds with high confidence is a critical element in metabolomics. C-detection NMR experiment INADEQUATE (incredible natural abundance double-quantum transfer experiment) stands out as a powerful tool for structural elucidation, whereas this valuable experiment is not often included in metabolomics studies. This is partly due to the lack of community platform that provides structural information based INADEQUATE.

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