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(1) Mixtures modeling to identify ‘bad actors’ in the atmosphere
- Rager JE, Clark J, Eaves LA, Avula V, Niehoff NM, Kim YH, Jaspers I, Gilmour MI. Mixtures modeling identifies chemical inducers versus repressors of toxicity associated with wildfire smoke. Sci Total Environ. 2021 Jun 25;775:145759.
- Koval LE*, Carberry CK*, Kim YH, McDermott E*, Hartwell H, Jaspers I, Gilmour MI, Rager JE++. Wildfire Variable Toxicity: Identifying Biomass Smoke Exposure Groupings through Transcriptomic Similarity Scoring. Environ Sci Technol. 2022 Dec 6;56(23):17131-17142.
- Kim YH, Rager JE, Jaspers I, Gilmour MI. Computational Approach to Link Chemicals in Anthropogenic Smoke Particulate Matter with Toxicity. Chem Res Toxicol. 2022 Dec 19;35(12):2210-2213.
- Hickman E, Payton A#, Duffney P, Wells H, Ceppe AS, Brocke S, Bailey A, Rebuli ME, Robinette C, Ring B, Rager JE, Alexis NE, Jaspers I. Biomarkers of Airway Immune Homeostasis Differ Significantly with Generation of E-Cigarettes. Am J Respir Crit Care Med. 2022 Nov 15;206(10):1248-1258. doi: 10.1164/rccm.202202-0373OC. PMID: 35731626. PMCID: PMC9746848.
- Koval LE*, Dionisio KL, Friedman KP, Isaacs KK, Rager JE++. Environmental mixtures and breast cancer: identifying co-exposure patterns between understudied vs breast cancer-associated chemicals using chemical inventory informatics. J Expo Sci Environ Epidemiol. 2022 Nov;32(6):794-807. doi: 10.1038/s41370-022-00451-8. PMID: 35710593. PMCID: PMC9742149.
- Payton A*#, Perryman AN, Hoffman JR, Avula V*, Wells H, Robinette C, Alexis NE, Jaspers I, Rager JE++, Rebuli ME. Cytokine signature clusters as a tool to compare changes associated with tobacco product use in upper and lower airway samples. Am J Physiol Lung Cell Mol Physiol. 2022 May 1;322(5):L722-L736. doi: 10.1152/ajplung.00299.2021. PMID: 35318855; PMCID: PMC9054348.
- Chang Y, Rager JE, Tilton SC. Linking Coregulated Gene Modules with Polycyclic Aromatic Hydrocarbon-Related Cancer Risk in the 3D Human Bronchial Epithelium. Chem Res Toxicol. 2021 Jun 21;34(6):1445-1455. PMID: 34048650; PMCID: PMC8560124.