Articles by Charmion Cruickshank-Quinn in JoVE
में गहराई और जानकारीपूर्ण metabolomic विश्लेषण के लिए एकाधिक metabolite यौगिक श्रेणी ठीक करने के लिए कई कदम तैयारी तकनीक Charmion Cruickshank-Quinn1, Kevin D. Quinn1, Roger Powell1, Yanhui Yang1, Michael Armstrong1, Spencer Mahaffey2, Richard Reisdorph1, Nichole Reisdorph1 1Department of Immunology, National Jewish Health, 2Department of Pharmacology, School of Medicine, University of Colorado Denver metabolomics प्रयोगों में परिणामों की विश्वसनीयता नमूना तैयार करने की प्रभावशीलता और reproducibility पर निर्भर करता है. बाद में यौगिकों के हजारों को विश्लेषण करने, या ब्याज की बस यौगिक वर्गों के विकल्प के साथ जैविक तरल पदार्थ से मेटाबोलाइट्स की निकासी के लिए सक्षम बनाता है कि एक कठोर और गहन विधि है वर्णित है.
Other articles by Charmion Cruickshank-Quinn on PubMed
MSPrep--summarization, Normalization and Diagnostics for Processing of Mass Spectrometry-based Metabolomic Data Bioinformatics (Oxford, England). Jan, 2014 | Pubmed ID: 24174567 Although R packages exist for the pre-processing of metabolomic data, they currently do not incorporate additional analysis steps of summarization, filtering and normalization of aligned data. We developed the MSPrep R package to complement other packages by providing these additional steps, implementing a selection of popular normalization algorithms and generating diagnostics to help guide investigators in their analyses.
Transient and Persistent Metabolomic Changes in Plasma Following Chronic Cigarette Smoke Exposure in a Mouse Model PloS One. 2014 | Pubmed ID: 25007263 Cigarette smoke exposure is linked to the development of a variety of chronic lung and systemic diseases in susceptible individuals. Metabolomics approaches may aid in defining disease phenotypes, may help predict responses to treatment, and could identify biomarkers of risk for developing disease. Using a mouse model of chronic cigarette smoke exposure sufficient to cause mild emphysema, we investigated whether cigarette smoke induces distinct metabolic profiles and determined their persistence following smoking cessation. Metabolites were extracted from plasma and fractionated based on chemical class using liquid-liquid and solid-phase extraction prior to performing liquid chromatography mass spectrometry-based metabolomics. Metabolites were evaluated for statistically significant differences among group means (p-value≤0.05) and fold change ≥1.5). Cigarette smoke exposure was associated with significant differences in amino acid, purine, lipid, fatty acid, and steroid metabolite levels compared to air exposed animals. Whereas 60% of the metabolite changes were reversible, 40% of metabolites remained persistently altered even following 2 months of smoking cessation, including nicotine metabolites. Validation of metabolite species and translation of these findings to human plasma metabolite signatures induced by cigarette smoking may lead to the discovery of biomarkers or pathogenic pathways of smoking-induced disease.