Publications by authors named "F M Huber"
Article Synopsis
- * The study analyzed existing data on E. coli and established a new metric to differentiate between cross-resistance and collateral sensitivity, uncovering 404 cross-resistance and 267 collateral-sensitivity interactions—tripling known cases.
- * By confirming many of these interactions through experimental methods and identifying specific mutants, the research showed that some drug pairs can display both resistance types, and using collateral-sensitive pairs can help prevent antibiotic resistance from developing in laboratory settings.
Covering: 2014 to 2023 for metabolomics, 2002 to 2023 for information visualizationLC-MS/MS-based untargeted metabolomics is a rapidly developing research field spawning increasing numbers of computational metabolomics tools assisting researchers with their complex data processing, analysis, and interpretation tasks. In this article, we review the entire untargeted metabolomics workflow from the perspective of information visualization, visual analytics and visual data integration. Data visualization is a crucial step at every stage of the metabolomics workflow, where it provides core components of data inspection, evaluation, and sharing capabilities.
View Article and Find Full Text PDFThe COVID-19 pandemic disproportionately impacted minoritized individuals. This study examined the relationships between pandemic-related stressors/distress and bodily pain in 79 Native American (NA) and 101 non-Hispanic White (NHW) participants from the Oklahoma Study of Native American Pain Risk. Online surveys were administered in May/June 2020 (wave 1), March/April 2021 (wave 2), and Sept/Oct 2021 (wave 3).
View Article and Find Full Text PDFArticle Synopsis
- Investigates how microtubule growth and stability are affected by a stabilizing GTP/GDP-Pi cap using in vitro experiments with microfabricated barriers and GFP-EB3 as a marker.
- The study reveals that obstacles slow down microtubule growth and increase the likelihood of catastrophes (rapid depolymerization).
- A simple 1D model can effectively describe the lifetimes of both stalled and freely growing microtubules, linking hydrolysis rates to their growth dynamics and explaining previous observations on catastrophe rates.