1. Zhao J, Zhu Y, Uppal K, Tran VT, Yu T, Lin J, Matsuguchi T, Blackburn E, Jones D, Lee ET, Howard BV. Metabolic profiles of biological aging in American Indians:The strong heart family study. Aging (Albany NY). 2014 Mar;6(3):176-86.
  2. Hoffman JM, Soltow QA, Li S, Sidik A, Jones DP, Promislow DE. (2014). Effects of age, sex, and genotype on high‐sensitivity metabolomic profiles in the fruit fly, Drosophila melanogaster. Aging cell. doi: 10.1111/acel.12215.
  3. Roede, J. R., Uppal, K., Park, Y., Lee, K., Tran, V., Walker, D., ... & Jones, D. P. (2013). Serum Metabolomics of Slow vs. Rapid Motor Progression Parkinson’s Disease: a Pilot Study. PloS one, 8(10), e77629.
  4. Fitzpatrick AM, Park Y, Brown LA and Jones DP. Children with severe asthma have unique oxidative stress-associated metabolomic profiles. J Allergy Clin Immunol. 2014;133:258-261 e8.
  5. Cribbs SK, Park Y, Guidot D, Martin G, Brown LA, Lennox J and Jones D. Metabolomics of Bronchoalveolar Lavage Differentiate Healthy HIV-1-infected Subjects from Controls. AIDS Res Hum Retroviruses. 2014.
  6. Neujahr DC, Uppal K, Force SD, Fernandez F, Lawrence C, Pickens A, Bag R, Lockard C, Kirk AD, Tran V, Lee K, Jones DP and Park Y. Bile acid aspiration associated with lung chemical profile linked to other biomarkers of injury after lung transplantation. Am J Transplant. 2014;14:841-8.
  7. Roback JD, Josephson CD, Waller EK, Newman JL, Karatela S, Uppal K, Jones DP, Zimring JC and Dumont LJ. Metabolomics of ADSOL (AS-1) Red Blood Cell Storage. Transfusion medicine reviews. 2014;28:41-55.
  8. Osborn MP, Park Y, Parks MB, Burgess LG, Uppal K, Lee K, Jones DP and Brantley MA, Jr. Metabolome-wide association study of neovascular age-related macular degeneration. PLoS One. 2013;8:e72737.
  9. Stamler J, Brown IJ, Yap IK, Chan Q, Wijeyesekera A, Garcia-Perez I, Chadeau-Hyam M, Ebbels TM, De Iorio M, Posma J, Daviglus ML, Carnethon M, Holmes E, Nicholson JK, Elliott P and Group IR. Dietary and urinary metabonomic factors possibly accounting for higher blood pressure of black compared with white Americans: results of International Collaborative Study on macro-/micronutrients and blood pressure. Hypertension. 2013;62:1074-80.
  10. Gregory JF, 3rd, Park Y, Lamers Y, Bandyopadhyay N, Chi YY, Lee K, Kim S, da Silva V, Hove N, Ranka S, Kahveci T, Muller KE, Stevens RD, Newgard CB, Stacpoole PW and Jones DP. Metabolomic analysis reveals extended metabolic consequences of marginal vitamin B-6 deficiency in healthy human subjects. PLoS One. 2013;8:e63544.
  11. Go YM, Roede JR, Orr M, Liang Y and Jones DP. Integrated redox proteomics and metabolomics of mitochondria to identify mechanisms of cd toxicity. Toxicol Sci. 2014;139:59-73.
  12. Park YH, Lee K, Soltow QA, Strobel FH, Brigham KL, Parker RE, Wilson ME, Sutliff RL, Mansfield KG, Wachtman LM, Ziegler TR and Jones DP. High-performance metabolic profiling of plasma from seven mammalian species for simultaneous environmental chemical surveillance and bioeffect monitoring. Toxicology. 2012.
  13. Li S, Park Y, Duraisingham S, Strobel FH, Khan N, Soltow QA, Jones DP and Pulendran B. (2013b) Predicting network activity from high throughput metabolomics. PLoS computational biology. 9:e1003123.
  14. Ravindran R, Khan N, Nakaya HI, Li S, Loebbermann J, Maddur MS, Park Y, Jones DP, Chappert P, Davoust J, Weiss DS, Virgin HW, Ron D, Pulendran B. Vaccine activation of the nutrient sensor GCN2 in dendritic cells enhances antigen presentation. Science. 2014 Jan 17;343(6168):313-7. Soltow, Q. A., Strobel, F. H., Mansfield, K. G., Wachtman, L., Park, Y., & Jones, D. P. (2013). High-performance metabolic profiling with dual chromatography-Fourier-transform mass spectrometry (DC-FTMS) for study of the exposome. Metabolomics, 9(1), 132-143.
  15. Roede JR, Park Y, Li S, Strobel FH, Jones DP. (2012). Detailed mitochondrial phenotyping by high resolution metabolomics. PLoS One. 7(3):e33020.
  16. Yu, T., Park, Y., Johnson, J. M., & Jones, D. P. (2009). apLCMS—adaptive processing of high-resolution LC/MS data. Bioinformatics, 25(15), 1930-1936.
  17. Yu T, Park Y, Li S, Jones DP. (2013). Hybrid Feature Detection and Information Accumulation Using High-Resolution LC–MS Metabolomics Data. Journal of proteome research 12(3): 1419-1427.
  18. Uppal, K., Soltow, Q. A., Strobel, F. H., Pittard, W. S., Gernert, K. M., Yu, T., & Jones, D. P. (2013). xMSanalyzer: automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data. BMC bioinformatics, 14(1), 15.