Huan Lab Metabolomics and Exposomics at UBC

Publications

Research output across mass spectrometry, metabolomics, life sciences and environmental sciences

129Total publications listed
71Publications in the past 5 years
Google ScholarView citations and full publication profile

Highlighted publications

Selected papers in high-impact journals

Representative publications spanning computational metabolomics, exposomics, lipid metabolism, cancer biology, and systems-level mass spectrometry.

Nature Metabolism

Metabolites are not genes

K. Lee, X. Su, T. Huan, Nature Metabolism, 7, 858-861, 2025

 Nature Methods

BUDDY: molecular formula discovery via bottom-up MS/MS interrogation

S. Xing, S. Shen, B. Xu, X. Li, T. Huan, Nature Methods, 20, 881-890, 2023

 Nature Methods

Systems biology guided by XCMS Online metabolomics

T. Huan et al., Nature Methods, 14(5), 461-462, 2017

 Nature Metabolism

Neuronal lipid droplets and whole-body energy homeostasis

R. Manceau, C. Cherian, D. Majeur, C. Miller, J. Fisher, J. Parker, C. Murphy-Royal, T. Huan, S. Fulton, E. Rideout, T. Alquier, Nature Metabolism, 8(5), 1034-1050, 2026

 Nature Cancer

Lymphatic endothelial-like cells promote glioblastoma stem cell growth

L. Zhao et al., Nature Cancer, 5, 147-166, 2024

 Cell

The underappreciated diversity of bile acid modifications

I. Mohanty et al., Cell, 187(7), 1801-1818, 2024

 Nature Communications

Repository-scale propagated nearest-neighbor suspect spectral library

W. Bittremieux et al., Nature Communications, 14, 8488, 2023

 Nature Chemical Biology

Pass-back chain extension expands assembly-line biosynthesis

J.J. Zhang, X. Tang, T. Huan, A.C. Ross, B.S. Morre, Nature Chemical Biology, 16, 42-49, 2019

 Cancer Discovery

Glioma stem cell super enhancer supports EGFR signaling

R.C. Gimple et al., Cancer Discovery, 9(9), 1248-1267, 2019

Complete archive

All publications

  1. 1

    Q. Shen, D. Zhang, T. Zhao, K.N.M. Chau, G. Grubisa, T. Huan, X.C. Le, X. Li, ‘Diversity of Iodinated Water Disinfection Byproducts and Their Formation Dynamics Discovered Using Exposome-Scale Nontargeted Analysis and Machine Learning’, Environmental Science & Technology, 60(26), 18506-18518, 2026

  2. 2

    H. Yu, P. Biswas, E. Rideout, Y. Cao, O. Fiehn, T. Huan, ‘BAGO: A Self-Optimizing Tool for LC-MS Gradient Design in Metabolomics’, Analytical Chemistry, 98(25), 18660-18672, 2026

  3. 2

    E. Espín, C. Yang, CP. Shannon, AK. Checkervarty, S. Kim, L. Lapp, S. Assadian, B. Grunau, DM. Goldfarb, J. Hutton, T. Huan, SJ. Tebbutt, ‘Pilot longitudinal integrated transcriptomic–metabolomic study reveals immune and metabolic signatures in non-hospitalized healthcare workers with long COVID’, Frontiers in Cellular and Infection Microbiology, 16, 1808564, 2026

  4. 3

    B. Low, C. Nguyen, T. Huan, ‘The Multifaceted Challenge of Normalizing Mass Spectrometry-Based Metabolomics Data’, Analytical Chemistry, 98(19), 13967-13974, 2026

  5. 4

    T. Huan, X. Li, ‘Disinfection Byproducts in the Long-Tail Exposome: Unmet Challenges for Water Quality and Human Health’, Environmental Science & Technology, 60(18), 13255-13258, 2026

  6. 5

    C. Yang, CP. Shannon, S. Assadian, A. Hui, A. Checkervarty, A. Zheng, E. Kim, E. Espín, A. Rajasekaran, M. Toma, T. Huan, SJ. Tebbutt, ‘Metabolomic Biomarkers Predict Early Cardiac Allograft Vasculopathy: A Pilot Study’, The Journal of Heart and Lung Transplantation, 45(5), 73, 2026

  7. 6

    E. Kim, T. Huan, ‘Disentangling Method-Induced Differences in Metabolomics: Single- versus Dual-Phase Extraction’, Analyst, 151(10), 2842-2851, 2026

  8. 7

    R. Manceau, C. Cherian, D. Majeur, C. Miller, J. Fisher, J. Parker, C. Murphy-Royal, T. Huan, S. Fulton, E. Rideout, T. Alquier, ‘Neuronal lipid droplets play a conserved and sex-biased role in maintaining whole-body energy homeostasis’, Nature Metabolism, 8(5), 1034-1050, 2026

  9. 8

    M. Gao, T. Zhao, X. Liao, T. Huan, Q. Shen, KN. Chau, D. Zhang, Z. Chen, H. Ma, X. Li, ‘Data-Driven Discovery of Unknown Precursors of N-Nitrosodimethylamine in Nontargeted Liquid Chromatography–High Resolution Mass Spectrometry Analysis’, Environmental Science & Technology, 60(8), 6558–6568, 2026

  10. 9

    P. Sandhu, R. Giebelhaus, T. Zhao, A. Tucker, D. Gaudet, T. Huan, S. Murch, ‘AminoacidDB: A liquid chromatography-tandem mass spectrometry-based toolkit for untargeted analysis of nonprotein amino acids’, Analyst, 151, 1071-1085, 2026

  11. 10

    M. Jung, M. Idrissi, N. Hoang, T. Huan, D. Seib, K. Soma, ‘Maternal Sucrose Intake during Pregnancy Alone Disrupts Testosterone and Allopregnanolone Levels in the Fetal Brain of Rats’, The Journal of Nutrition, 156(2), 101267, 2025

  12. 11

    J. Shaw, P. Brunswick, J. Lesuk, L. Rabinovitch, T. Filewood, H. Kwok, J. Yan, R. Cody, T. Huan, D. Shang, ‘A high-throughput ambient mass spectrometric approach for identifying the poaching of wild American ginseng’, Environmental Systems Research, 14, 31, 2025

  13. 12

    C. Zhao, T. Zhao, Q. Shen, Z. Tang, X. Li, T. Huan, ‘Practical Guidance for Training Machine Learning Models in Metabolomics and Mass Spectrometry Research’, Analytical Chemistry, 97(42), 23005–23013, 2025

  14. 13

    V. Lee, K. Nguyen, L. Zhu, C. White, Y. Lim, T. Huan, T. Velenosi, ‘DIATAGeR: Triacylglycerol Annotation of Data-Independent Acquisition based Lipidomics’, Analytica Chimica Acta, 1378, 344698, 2025

  15. 14

    F. Sun, K. Wang, X. Dong, H. Secaira-Morocho, A. Hui, C. Cai, J. Sze, B. Low, S. Udgata, C. Pasch, T. Huan, D. Deming, Q. Zhu, J. Jiang, T. Fu, ‘The Microbial Bile Acid Metabolite 3-oxo-LCA Inhibits Colorectal Cancer Progression’, Cancer Research, 85(24), 4937-4957, 2025

  16. 15

    M. Chau, D. Zhang, Q. Shen, T. Zhao, N. Wawryk, M. Gao, T. Huan, XF, Li, ‘Nontargeted Analysis with Machine Learning Method Revealing New Chlorinated Byproducts of Tire-Leaching Compounds and Their Formation Pathways During Water Chlorination’, ACS ES&T Water, 5(10), 5938-5948, 2025

  17. 16

    Z. Tang, J. Yang, B. Su, X. Xu, X. Luo, H. Wang, K. Zhang, T. Huan, P. Sinues, M. Fang, X. Li, ‘Metabolite Fusion between Breath and Blood enables More In-depth Understanding of the Endogenous Metabolome’, Analytical Chemistry, 97(36), 19427–19436, 2025

  18. 17

    C. Yang, CP. Shannon, S. Assadian, L. Lapp, R. Nair, T. Huan, N. Partovi, M. Toma, SJ. Tebbutt, ‘Association between tacrolimus blood levels and biopsy-proven acute cellular rejection in adult heart transplant recipients’, JHLT Open, 10, 100373, 2025

  19. 18

    C. Yang, CP. Shannon, S. Assadian, L. Lapp, E. Kim, A. Rajasekaran, R. Nair, A. Hui, M. Toma, T. Huan, SJ. Tebbutt, ‘Circulating Metabolites for Non-Invasive Detection of Acute Cellular Rejection After Heart Transplantation’, The Journal of Heart and Lung Transplantation, 44(4), S60, 2025

  20. 19

    B. Liu, Z. Tang, T. Huan, ‘Adduct-Induced Variability in Tandem Mass Spectrometry’, Analytical Chemistry, 97(31), 17058-17066, 2025

  21. 20

    J. Shaw, J. Lesuk, L. Rabinovitch, T. Filewood, H. Kwok, J. Yan, P. Brunswick, T. Huan, D. Shang, ‘Efficient oil spill identification utilizing hydrophobic sampling paper and gas chromatography/mass spectrometry’, Analytical Methods, 17, 6073-6087, 2025

  22. 21

    Q. Xiao, D. Bustos, K. Caldo, L. Morales-Quintana, T. Huan, G. Chen, ‘Functions of Arabidopsis CTP:phosphocholine cytidylyltransferase 1 in phosphatidylcholine biosynthesis and root growth’, Plant Physiology, 198(3), kiaf272, 2025

  23. 22

    B. Low, T. Zhao, X. Li, T. Huan, ‘Machine Learning-Assisted Recognition of Environmental Sulfur-Containing Chemicals in Non-Targeted Mass Spectrometry Analysis of Inadequate Mass Resolution’, ACS Environmental Au (special issue ‘2025 Rising Stars’), 5(6), 573–582, 2025

  24. 23

    P. Biswas, J. Bako, J. Liston, H. Yu, L. Wat, C. Miller, M. Gordon, T. Huan, M. Stanley, E. Rideout, ‘Insulin/insulin-like growth factor signaling pathway promotes higher fat storage in Drosophila females’, Cell Reports, 44(7), 115915, 2025

  25. 24

    N. Salekdeh, J. Poisson, T. Huan, E.C. Davy, ‘Promoting Student Metacognition Through the Use of Exam Wrappers in a Second-year Analytical Chemistry Course’, Journal of Chemical Education, 102(8), 3218-3225, 2025

  26. 25

    T. Zhao, B. Low, Q. Shen, Y. Wang, DH. Delgado, K.N.M. Chau, Z. Pang, X. Li, J. Xia, X. Li, T. Huan, ‘Exposome-Scale Investigation of Cl-/Br-Containing Chemicals Using High-Resolution Mass Spectrometry, Multistage Machine Learning, and Cloud Computing’, Analytical Chemistry, 97(21), 11099-11109, 2025

  27. 26

    J. Shaw, P. Brunswick, T. Huan, D. Shang, ‘Protecting endangered and CITES listed species: a review of wild American ginseng (P. quinquefolius) identification methods’, Discover Plants, 2, 135, 2025

  28. 27

    D. Godevac, J. Jeremic, M. Cvtkovic, K. Simic, I. Soofrenic, J. Ljujic, L. Popovic, U. Gasic, Y. Hoang, T. Huan, S. Ivanovic, ‘LC-MS-based metabolomics for detecting adulteration in Tribulus terrestris-derived dietary supplements’, Food Chemistry: X, 27, 102476, 2025

  29. 28

    K. Lee, X. Su, T. Huan, ‘Metabolites are not genes – avoiding the misuse of pathway analysis in metabolomics’, Nature Metabolism, 7, 858–861, 2025

  30. 29

    Z. Tang, X. Xu, K. Zhang, J. Yang, H. Wang, X. Luo, M. Tang, T. Huan, X. Li, Breath and Blood Metabolomics: A Comparative Study Using SESI-HRMS/MS and UHPLC-ESI-HRMS/MS, Environment & Health, 3(6), 596-604, 2025

  31. 30

    T. Zhao, Q. Shen, X. Li, T. Huan, ‘IodoFinder: machine learning-guided recognition of iodinated chemicals in nontargeted LC-MS/MS analysis’, Environmental Science & Technology, 59(9), 4530-4539, 2025

  32. 31

    O. Sullivan, C. Sie, K. Ng, S. Cotton, C. Rosete, J. Hamden, A. Singh, K. Lee, J. Choudhary, J. Kim, H. Yu, C. Clayton, N. Garcia, K. Voznyuk, B. Deng, N. Plett, S. Arora, H. Ghezzi, T. Huan, K. Soma, J. Yu, C. Tropini, A. Ciernia, ‘Early-Life Gut Inflammation Drives Sex-Dependent Shifts in the Microbiome-Endocrine-Brain Axis’, Brain, Behavior, and Immunity, 125, 117-139, 2025

  33. 32

    S. Kim, A. Ibarra, C. Fernandez-Prada, T. Huan, ‘Global Lipidomics Reveals the Lipid Composition Heterogeneity of Extracellular Vesicles from Drug-Resistant Leishmania’, Metabolites, 14(12), 658, 2024

  34. 33

    Y. Chen, Y. Wang, D. Delgado, H. Yu, T. Zhao, M. Fang, T. Huan, ‘Constructing HairDB to Facilitate Exposome Research using Human Hair’, Environment International, 109077, 2024

  35. 34

    B. Low, Y. Wang, T. Zhao, H. Yu, T. Huan, ‘Closing the Knowledge Gap of Post-Acquisition Sample Normalization in Untargeted Metabolomics’, ACS Measurement Science Au (special issue ‘2024 Rising Stars’), 4(6), 702–711, 2024

  36. 35

    X. Dong, F. Sun, H. Secaira-Morocho, A. Hui, K. Wang, C. Cai, S. Udgata, B. Low, S. Wei, X. Chen, M. Qi, C. Pasch, W. Xu, J. Jiang, Q. Zhu, T. Huan, D. Deming, T. Fu, ‘The dichotomous roles of microbial-modified bile acids 7-oxo-DCA and isoDCA in intestinal tumorigenesis’, Proceedings of the National Academy of Sciences, 121(47) e2317596121, 2024

  37. 36

    Q. Shen, T. Zhao, N. Wawryk, K. Chau, D. Zhang, K. Carroll, W. Chu, T. Huan, X. Li, ‘Nontargeted Analysis of Reactive Nitrogenous Compounds in Suwannee River Standard Reference Materials and Authentic River Water Samples’, Environmental Science & Technology, 58(35), 15807–15815, 2024

  38. 37

    Y. Wang, Z. Tang, T. Zhao, J. Yang, W. Zhang, X. Li, T. Huan, ‘BreathXplorer: Processing Online Breathomics Data Generated from Direct Analysis using High-Resolution Mass Spectrometry’, Journal of the American Society for Mass Spectrometry, 35(8), 1818–1825, 2024

  39. 38

    RS. Jandu, H, Yu, Z. Zhao, HT. Le, S. Kim, T. Huan, F. Duong van Hoa, ‘Capture of Endogenous Lipids in Peptidiscs and Effect on Protein Stability and Activity’, iScience, 27(4), 109382, 2024

  40. 39

    Z. Zhang, H. Yu, E. Wong-Ma, P. Dokouhaki, A. Mostafa, J. Shavadia, F. Wu, T. Huan, ‘Reducing Quantitative Uncertainty Caused by Data Processing in Untargeted Metabolomics’, Analytical Chemistry, 96(9), 3727–3732, 2024

  41. 40

    I. Mohanty, H. Mannochio-Russo, Y. Abiead, J. Schweer, W. Bittremieux, S. Xing, R. Schmid, S. Zuffa, F. Vasquez, V. Muti, J. Zemlin, O. Tovar-Herrera, S. Moraıs, D. Desai, S. Amin, I. Koo, C. Turck, I. Mizrahi, T. Huan, A. Patterson, D. Siegel, L. Hagey, M. Wang, A. Aron, P. Dorrestein. ‘The Underappreciated Diversity of Bile Acid Modifications’, Cell, 187(7), 1801–1818, 2024

  42. 41

    T. Zhao, N. Wawryk, S. Xing, B. Low, G. Li, H. Yu, Y. Wang, Q. Shen, X. Li, T. Huan, ‘ChloroDBPFinder: Machine Learning-Guided Recognition of Chlorinated Disinfection Byproducts from Nontargeted LC-HRMS Analysis’, Analytical Chemistry, 96(6), 2590-2598, 2024

  43. 42

    H. Huang, J. Yang, C. Tao, L. Hu, T. Huan, W. Zhang, K. Zhang, X. Li, ‘Exhaled breath analysis of non-volatile drugs: Towards clinical applications’, TrAC Trends in Analytical Chemistry, 171, 117541, 2024

  44. 43

    L. Zhao, Z. Qiu, Z. Yang, L. Xu, T. Pearce, Q. Wu, K. Yang, F. Li, O. Saulnier, F. Fei, H. Yu, R. Gimple, V. Varadharajan, J. Liu, L. Hendrikse, V. Fong, W. Wang, J. Zhang, D. Lv, D. Lee, B. Lehrich, C. Jin, L. Ouyang, D. Dixit, H. Wu, X. Wang, A. Sloan, X. Wang, T. Huan, J. Brown, S. Goldman, M. Taylor, S. Zhou, J. Rich, ‘Lymphatic endothelial-like cells promote glioblastoma stem cell growth through cytokine-driven cholesterol metabolism’, Nature Cancer, 5, 147–166, 2024

  45. 44

    T. Zhao, K. Carroll, C. Craven, N. Wawryk, S. Xing, J. Guo, X. Li, T. Huan, ‘HDPairFinder: A Data Processing Platform for Hydrogen/Deuterium Isotopic Labeling-Based Nontargeted Analysis of Trace-Level Amino-Containing Chemicals in Environmental Water’, Journal of Environmental Sciences, 136, 583-593, 2024

  46. 45

    W. Bittremieux, N. Avalon, S. Thomas, S. Kakhkhorov, A. Aksenov, P. Gomes, C. Aceves, A. Caraballo-Rodríguez, J. Gauglitz, W. Gerwick, T. Huan, A. Jarmusch, R. Kaddurah-Daouk, K. Kang, H. Kim, T. Kondić, H. Mannochio-Russo, M. Meehan, A. Melnik, L. Nothias, C. O’Donovan, M. Panitchpakdi, D. Petras, R. Schmid, E. Schymanski, J. Hooft, K. Weldon, H. Yang, S. Xing, J. Zemlin, M. Wang, P. Dorrestein, ‘Open access repository-scale propagated nearest neighbor suspect spectral library for untargeted metabolomics’, Nature Communications, 14, 8488, 2023

  47. 46

    K. Brown, J. Krehkhno, S. Xing, T. Huan, L. Eltis, ‘Cholesterol-Mediated Coenzyme A Depletion in Catabolic Mutants of Mycobacteria Leads to Toxicity’, ACS Infectious Diseases, 10(1), 107-119, 2024

  48. 47

    T. Zhao, S. Xing, H. Yu, T. Huan, ‘De Novo Cleaning of Chimeric MS/MS Spectra for LC-MS/MS-Based Metabolomics’, Analytical Chemistry, 95(35), 13018-13028, 2023

  49. 48

    T. Fu, T. Huan, G. Rahman, H. Zhi, Z. Xu, TG. Oh, J. Guo, S. Couter, A. Tripathi, C. Martino, JL. McCarville, Q. Zhu, F. B.Low, Cayabyab, M. He, S. Xing, F. Vargas, RT. Yu, A. Atkins, C. Liddle, J. Ayres, M. Raffatellu, PC. Dorrestein, M. Downes, R. Knight, RM. Evans, ‘Paired microbiome and metabolome analyses associate bile acid changes with colorectal cancer progression’, Cell Reports, 42(8), 112997, 2023

  50. 49

    S.D. Singer, M. Lehmann, Z. Zhang, U. Subedi, K. Burton, N. Z-L Lim, R. O. Polp, G. Chen, S. Acharya, A. Hannoufa, T. Huan, ‘Elucidation of physiological, transcriptomic and metabolomic salinity response mechanisms in Medicago sativa’, Plants, 12(10), 2023

  51. 50

    D.H. Ross, J. Guo, A. Bilbao, T. Huan, R.D. Smith, X. Zheng, ‘Evaluating Software Tools for Lipid Identification from Ion Mobility Spectrometry-Based Lipidomics Data’, Molecules, 28(8), 3483, 2023

  52. 51

    D. Sexton, A. Hashimi, P. Beskrovnaya, L. Sibanda, T. Huan, E. Tocheva, ‘The cell envelope of Thermotogae suggests a mechanism for outer membrane biogenesis’, Proceedings of the National Academy of Sciences, 120(18) e2303275120, 2023

  53. 52

    F. Zhao, L. Li, P. Lin, Y. Chen, S. Xing, H. Du, Z. Wang, J. Yang, T. Huan, C. Long, L. Zhang, B. Wang, M. Fang, ‘HExpPredict: In Vivo Exposure Prediction of Human Blood Exposome Using a Random Forest Model and Its Application in Chemical Risk Prioritization’, Environmental Health Perspectives, 131(3), 037009, 2023

  54. 53

    J. Guo, T. Huan, ‘Mechanistic Understanding of the Discrepancies Between Common Peak Picking Algorithms in LC-MS-Based Metabolomics’, Analytical Chemistry, 95(14), 5894–5902, 2023

  55. 54

    H. Yu, B. Low, Z. Zhang, J. Guo, T. Huan, ‘Quantitative Challenges and Their Bioinformatic Solutions in Mass Spectrometry-Based Metabolomics’, TrAC Trends in Analytical Chemistry, 161, 117009, 2023

  56. 55

    P. Kakodkar, P. Dokouhaji, F. Wu, J. Shavadia, R. Nair, D. Webster, T. Sawyer, T. Huan, A. Mostafa, ‘The role of the HLA allelic repertoire on the clinical severity of COVID-19 in Canadians, living in Saskatchewan’, Human Immunology, 84(3), 163-171, 2023

  57. 56

    S. Xing, T. Huan, ‘Accurate determination of molecular formulae using tandem mass spectrometry’, Nature Methods, 20, 799–800(2023)

  58. 57

    Y. Liu, A.J. Wilson, J. Han, A. Hui, L. Sullivan, T. Huan, C.H. Haney, ‘Amino acid availability determines plant immune homeostasis in the rhizosphere microbiome’, mBio, e03424-22, 2023

  59. 58

    S. Xing, S. Shen, B. Xu, X. Li, T. Huan, ‘BUDDY: molecular formula discovery via bottom-up MS/MS interrogation’, Nature Methods, 20, 881–890, 2023

  60. 59

    L. Nierves, J. Guo, S. Chen, J. Tsui, A. C. Uzozie, J.W. Bush, T. Huan, P. F. Lange, ‘Multi-omic profiling of the leukemic microenvironment shows bone marrow interstitial fluid is distinct from peripheral blood plasma’, Experimental Hematology & Oncology, 11(1), 56, 2022

  61. 60

    S. Sharpton, T. Oh, E. Madamba, C. Wang, R. Yu, A. Atkins, T. Huan, M. Downes, R. Evans, R. Loomba, ‘Gut Metagenome-Derived Signature Predicts Hepatic Decompensation and Mortality in NAFLD-Related Cirrhosis’, Alimentary Pharmacology & Therapeutics, 56(10), 1475-1485, 2022

  62. 61

    J. Guo, H. Yu, S. Xing, T. Huan, ‘Addressing Big Data Challenges in Mass Spectrometry-Based Metabolomics’, Chemical Communications, 58, 9979-9990, 2022 ( PDF )

  63. 62

    J. Guo, T.Huan, ‘Turning Metabolomics Data Processing from a “Black Box” to a “White Box”’, LCGC North America, 40(s9), 20-22, 2022 (non peer reviewed)

  64. 63

    H. Yu, P. Sang, T. Huan, ‘Adaptive Box-Cox Transformation: A Highly Flexible Feature-Specific Data Transformation to Improve Metabolomics Data Normality for Better Statistical Analysis’, Analytical Chemistry, 94(23), 8267–8276, 2022

  65. 64

    H. Yu, T. Huan, ‘MAFFIN: Metabolomics Sample Normalization Using Maximal Density Fold Change with High-Quality Metabolic Features and Corrected Signal Intensities’, Bioinformatics, 38(13), 3429-3437, 2022

  66. 65

    C. Boycott, M. Beetch, T. Yang, K. Lubecka, Y. Ma, J. Zhang, L. Kendall, M. Ullmer, B. Ramsey, S. Torregrosa-Allen, B. Elzey, A. Cox, N. Lanman, A. Hui, N. Villanueva, A. Conti, T. Huan, I. Pogribny, B. Stefanska, ‘Epigenetic Aberrations of Gene Expression in a Rat Model of Hepatocellular Carcinoma’, Epigenetics, 17(11), 1513-1534, 2022

  67. 66

    D.G.C. Treen, M. Wang, S. Xing, KB. Louie, T. Huan, P.C. Dorrestein, T.R. Northen, B.P. Bowen, ‘SIMILE enables alignment of tandem mass spectra with statistical significance’, Nature Communications, 13(1), 1-10, 2022

  68. 67

    J. Guo, S. Shen, T. Huan, ‘Paramounter: Direct Measurement of Universal Parameters To Process Metabolomics Data in a “White Box”’, Analytical Chemistry, 94(10), 4260-4268, 2022

  69. 68

    J. Guo, S. Shen, M. Liu, C. Wang, B. Low, Y. Chen, Y. Hu, S. Xing, H. Yu, Y. Gao, M. Fang, T. Huan, ‘JPA: Joint Metabolic Feature Extraction Increases the Depth of Chemical Coverage for LC-MS-Based Metabolomics and Exposomics’, Metabolites, 12(3), 212, 2022

  70. 69

    H. Yu, T. Huan, ‘Comprehensive Assessment of the Diminished Statistical Power Caused by Nonlinear Electrospray Ionization Responses in Mass Spectrometry-Based Metabolomics’, Analytica Chimica Acta, 1200, 339614, 2022

  71. 70

    S. Xing, T. Huan, ‘Radical Fragment Ions in Collision-Induced Dissociation-Based Tandem Mass Spectrometry’, Analytica Chimica Acta, 1200, 339613, 2022

  72. 71

    M. Liu, J. Jiang, Z. Jie, T. Huan, B. Gao, X. Fei, Y. Wang, M. Fang, ‘RTP: One Effective Platform to Probe Reactive Compound Transformation Products and Its Applications for a Reactive Plasticizer BADGE’, Environmental Science & Technology, 55(23), 16034-16043, 2021

  73. 72

    S. Liu, Y. Gui, M. Wang, L. Zhang, T. Xu, Y. Pan, K. Zhang, Y. Yu, L. Xiao, Y. Qiao, C. Bonin, G. Hargis, T. Huan, Y. Yu, J. Tao, D. Kreutzer, Y. Zhou, Y. Wang, H. Fu, X. An, ‘Serum Integrative Omics Reveals the Landscape of Human Diabetic Kidney Disease’, Molecular Metabolism, 54, 101367, 2021

  74. 73

    J. Guo, S. Shen, S. Xing, Y. Chen, F. Chen, EM. Porter, H. Yu, T. Huan, ‘EVA: Evaluation of Metabolic Feature Fidelity Using A Deep Learning Model Trained With Over 25 000 Extracted Ion Chromatograms’, Analytical Chemistry, 93(36), 12181–12186, 2021

  75. 74

    J. Guo, S. Shen, S. Xing, H. Yu, T. Huan, ‘ISFrag: De Novo Recognition of In-Source Fragments for Liquid Chromatography-Mass Spectrometry Data’, Analytical Chemistry, 93(29), 10243–10250, 2021

  76. 75

    H. Yu, Y. Chen, T. Huan, ‘Computational Variation: An Under-Investigated Quantitative Variability Caused by Automated Data Processing in Untargeted Metabolomics’, Analytical Chemistry, 93(25), 8719–8728, 2021

  77. 76

    W. Huang, X. Wang, D. Chen, E.G. Xu, X. Luo, J. Zeng, T. Huan, L. Li, Y. Wang, ‘Toxicity mechanisms of polystyrene microplastics in marine mussels revealed by high-coverage quantitative metabolomics using chemical isotope labeling liquid chromatography mass spectrometry’, Journal of Hazardous Materials, 417, 126003, 2021

  78. 77

    Y. Chen, J. Guo, S. Xing, H. Yu, T. Huan, ‘Global-Scale Metabolomic Profiling of Human Hair for Simultaneous Monitoring of Endogenous Metabolome, Short- and Long-Term Exposome’, Frontiers in Chemistry, 9, 674265, 2021

  79. 78

    F. Zhao, L. Li, Y. Huang, TP. Keethisinghe, A. Chow, T. Dong, S. Jia, S. Xing, B. Warth, T. Huan, M. Fang, ‘Risk-based Chemical Ranking and Generating a Prioritized Human Exposome Database’, Environmental Health Perspectives, 129(4), 047014, 2021

  80. 79

    S. Xing, Y. Jiao, M. Salehzadeh, K. Soma, T. Huan, ‘SteroidXtract: Deep Learning-Based Pattern Recognition Enables Comprehensive and Rapid Extraction of Steroid-Like Metabolic Features for Automated Biology-Driven Metabolomics’, Analytical Chemistry, 93(14), 5735–5743, 2021

  81. 80

    S. Xing, H. Yu, M. Liu, Q. Jia, Z. Sun, M. Fang, T. Huan, ‘Recognizing Contamination Fragment Ions in Liquid Chromatography-Tandem Mass Spectrometry Data’, Journal of the American Society for Mass Spectrometry, 32(9), 2296–2305, 2021 (Invited, JASMS ‘Emerging Investigators’ focus section)

  82. 81

    J. Guo, S. Shen, S. Xing, T. Huan, ‘DaDIA: Hybridizing Data-Dependent and Data-Independent Acquisition Modes for Generating High-Quality Metabolomics Data’, Analytical Chemistry, 93(4), 2669-2677, 2021

  83. 82

    T. Xu, L. Chen, Y. Lim, H. Zhao, H. Chen, M. Chen, T. Huan, Y. Huang, R. Sobota, M. Fang, ‘Systems Biology-Guided Chemical Proteomics to Discover Protein Targets of Monoethylhexyl Phthalate in Regulating Cell Cycle’, Environmental Science & Technology, 55(3), 1842–1851, 2021

  84. 83

    H. Yu, T. Huan, ‘Patterned Ratio Biases in Mass Spectrometry-Based Quantitative Metabolomics’, Analytical Chemistry, 93(4), 2254-2262, 2021

  85. 84

    G. Ban, Y. Dai, T. Huan, A. Ke, P. Delaquis, S. Wang, ‘Endogenous Metabolites Released by Sanitized Sprouting Alfalfa Seed Inhibit the Growth of Salmonella enterica’, mSystems, 6(1), e00898-20, 2021

  86. 85

    P. Beskrovnaya, D. Fakih, I. Morneau, D. Sexton, D. G. Bello, S. Xing, M. Golmohammadzadeh, A. Nanci, T. Huan, E. Tocheva, ‘No Endospore Formation Confirmed in Members of the Phylum Proteobacteria’, Applied and Environmental Microbiology, 87(5), e02312-20, 2021

  87. 86

    S. Xing, H. Yu, Z. Ying, M. Liu, M. Fang, T. Huan, ‘Retrieving and Utilizing Hypothetical Neutral Losses from Tandem Mass Spectra for Spectral Similarity Analysis and Unknown Metabolite Annotation’, Analytical Chemistry, 92(21), 14476–14483, 2020

  88. 87

    H. Yu, N. Villanueva, T. Bittar, E. Arsenault, B. Labonte, T. Huan, ‘Parallel Metabolomics and Lipidomics Enables the Comprehensive Study of Mouse Brain Regional Metabolite and Lipid Patterns’, Analytica Chimica Acta, 1136, 168-177, 2020

  89. 88

    A. Evans, AM Evans, C. O’Donovan, M. Playdon, C. Beecher, RD Beger, JA Bowden, D. Broadhurst, CB Clish, S. Dasari, WB Dunn, JL Griffin, T. Hartung, PC Hsu, T. Huan, J. Jans, CM Jones, M. Kachman, A. Kleensang, MR Lewis, ME Monge, JD Mosley, E. Taylor, F. Tayyari, G. Theodoridis, F. Torta, BK Ubhi, D. Vuckovic, ‘Dissemination and Analysis of the Quality Assurance (QA) and Quality Control (QC) Practices of LC-MS Based Untargeted Metabolomics Practitioners’, Metabolomics, 16(10), 1-16, 2020

  90. 89

    J. Guo, T. Huan, ‘Evaluation of significant features discovered from different data acquisition modes in mass spectrometry-based untargeted metabolomics’, Analytica Chimica Acta, 1137, 37-46, 2020

  91. 90

    T. Oh; S. Kim, C. Caussy, T. Fu; J. Guo; S. Bassirian, S. Singh, E. Madamba, R. Bettencourt, L. Richards, M. Raffatellu, R. Yu, A. Atkins, T. Huan, D. Brenner, C. Sirlin, R. Knight, R. Loomba, ‘A Universal Gut-Microbiome-Derived Signature Predicts Cirrhosis’, Cell Metabolism, 32(5), 878-888.e6, 2020

  92. 91

    A. Palermo, T. Huan, D. Rinehart, MM. Rinschen, S. Li, V. B. O’Donnell, E. Fahy, J. Xue, S. Subramaniam, HP. Benton, G. Siuzdak, ‘Cloud‐based archived metabolomics data: A resource for in‐source fragmentation/annotation, meta‐analysis and systems biology’, Analytical Science Advances, 1(1), 70-80, 2020

  93. 92

    D. Chen, W. Han, T. Huan; L. Li, L. Li, ‘Effects of Freeze-Thaw Cycles of Blood Samples on High-Coverage Quantitative Metabolomics’, Analytical Chemistry, 92(13), 9265–9272, 2020

  94. 93

    J. Guo, T. Huan, ‘Comparison of Full-Scan, Data-Dependent, and Data-Independent Acquisition Modes in Liquid Chromatography-Mass Spectrometry Based Untargeted Metabolomics’, Analytical Chemistry, 92(12), 8072-8080, 2020

  95. 94

    H. Yu, S. Xing, L. Nierves, P. Lange, T. Huan, ‘Fold-Change Compression: An Unexplored But Correctable Quantitative Bias Caused by Nonlinear Electrospray Ionization Responses in Untargeted Metabolomics ‘, Analytical Chemistry, 92(10), 7011-7019, 2020

  96. 95

    Cirstea, AC. Yu, E. Golz, K. Sundvick, D. Kliger, N. Radisavljevic, LH. Foulger, M. Mackenzie, T. Huan, BB. Finlay, S. Appel-Cresswell, ‘Microbiota Composition and Metabolism are Associated with Gut Function in Parkinson’s Disease’, Movement Disorders, 35(7), 1208-1217, 2020

  97. 96

    Y. Dong, AA. Arif, J. Guo, Z. Ha, S. Lee-Sayer, G. Poon, M. Dosanjh, C. Roskelley, T. Huan, P. Johnson, ‘CD44 Loss Disrupts Lung Lipid Surfactant Homeostasis and Exacerbates Oxidized Lipid-Induced Lung Inflammation’, Frontiers in Immunology, 11, 29, 2020

  98. 97

    L. Li, X. Zheng, Q. Zhou, N. Villanueva, W. Nian, X. Liu, T. Huan, ‘Metabolomics-Based Discovery of Molecular Signatures for Triple Negative Breast Cancer in Asian Female Population’, Scientific Reports, 10(1), 1-12, 2019 ( Reported in Nature Research Cancer Community, Top 100 in Cancer papers for Scientific Reports in 2020)

  99. 98

    J. Yang, Y. Han, C.H. Mah, E. Wanjaya, B. Peng, T. Xu, M. Liu, T. Huan, M. Fang, ‘Streamlined MRM method transfer between instruments assisted with HRMS matching and retention-time prediction’, Analytica Chimica Acta, 1100, 88-96, 2020

  100. 99

    X. Tang, Y. Kudo, J. Baker, S. LaBonte, P. Jordan, S. McKinne, J. Guo, T. Huan, B. Morre, A. Edlund, ‘Cariogenic Streptococcus Produces Tetramic Acid Strain-Specific Antibiotics That Impair Commensal Colonization’, ACS Infectious Diseases, 6(4), 563-571, 2019

  101. 100

    Y. Hu, B. Cai, T. Huan, ‘Enhancing metabolome coverage in data-dependent LC-MS/MS analysis through an integrated feature extraction strategy’, Analytical Chemistry, 91(22), 14433-14441, 2019

  102. 101

    J.J. Zhang, X. Tang, T. Huan, A.C. Ross, B.S. Morre, ‘Pass-Back Chain Extension Expands Multimodular Assembly Line Biosynthesis’, Nature Chemical Biology, 16, 42-49, 2020

  103. 102

    RC. Gimple, RL. Kidwell, L. J.Y. Kim, T. Sun, A. D. Gromovsky, Q. Wu, M. Wolf, D. Lv, S. Bhargava, L. Jiang, B. C. Prager, X. Wang, Q. Ye, Z. Zhu, G. Zhang, Z. Dong, L. Zhao, D. Lee, J. Bi, A. E. Sloan, P. S. Mischel, J. M. Brown, H. Cang, T. Huan, S. C. Mack, Q. Xie, J. N. Rich, ‘Glioma Stem Cell Specific Super Enhancer Promotes Polyunsaturated Fatty Acid Synthesis to Support EGFR Signaling’, Cancer Discovery, 9(9), 1248-1267, 2019

  104. 103

    S. Jia, T. Xu, T. Huan, M. Chong, M. Liu, W. Fang, M. Fang, ‘Chemical Isotope Labeling Exposome (CIL-EXPOSOME): One High-Throughput Platform for Human Urinary Global Exposome Characterization’, Environmental Science & Technology, 53(9), 5445-5453, 2019

  105. 104

    T. Huan, T. Tran, J. Zheng, S. Sapkota, S.W. MacDonald, R. Camicioli, R. Dixon, L. Li, ‘Metabolomics Analyses of Saliva Detect Novel Biomarkers of Alzheimer’s Disease’, Journal of Alzheimer’s Disease, 65, 1401-1416, 2018

  106. 105

    T. Huan, A. Palermo, J. Ivanisevic, D. Rinehart, D. Edler, T. Phommavongsay, HP. Benton, C. Guijas, X. Domingo-Almenara, B. Warth, G. Siuzdak, ‘Autonomous Multi-Modal Metabolomics Data Integration for Comprehensive Pathway Analysis’, Analytical Chemistry, 90(14), 8396-8403, 2018

  107. 106

    S. Sapkota, T. Huan, T. Tran, J. Zheng, R. Camicioli, L. Li, R. Dixon, ‘Alzheimer’s Biomarkers from Multiple Modalities Selectively Discriminate Clinical Status: Relative Importance of Salivary Metabolomics Panels, Genetic, Lifestyle, Cognitive, Functional Health, and Demographic Risk Markers’. Frontiers in Aging Neuroscience, 10, 296, 2018

  108. 107

    C. Guijas, JO. Montenegro-Burke, X. Domingo-Almenara, A. Palermo, B. Warth, G. Hermann, G. Koellensperger, T. Huan, W. Uritboonthai, A. Aisporna, D. Wolan, M. Spiker, HP. Benton, G. Siuzdak, ‘METLIN: a Technology Platform for Identifying Knowns and Unknowns’, Analytical Chemistry, 5(90), 3156-3164, 2018

  109. 108

    B. Warth, A. Granados, T. Huan, M. Fang, E. Forsberg, P. Benton, L. Goetz, CH. Johnson, G. Gary, ‘Metabolomics Reveals that Dietary Xenoestrogens Alter Cellular Metabolism Induced by Palbociclib/Letrozole Combination Cancer Therapy’, Cell Chemical Biology, 25(3), 291-300, 2018

  110. 109

    CC. Lee, YJ. Hsieh, SW. Chen, SH. Fu, CW. Hsu, CC. Wu, W. Han, Y. Li, T. Huan, YS. Chang, JS. Yu, L. Li, CH. Chang, YT. Chen, ‘Bretschneider Solution-Induced Alterations in the Urine Metabolome in Cardiac Surgery Patients’, Scientific Reports, 8, 17774, 2018

  111. 110

    T. Huan, E. Forsberg, D. Rinehart, CH. Johnson, J. Ivanisevic, HP. Benton, M. Fang, A. Aisporna, B. Hilmers, FL. Poole, MP. Thorgersen, MWW. Adams, G. Krantz, MW. Field, PD. Robbins, LJ. Niedernhofer, T. Ideker, EL. Majumder, JD. Wall, NJW. Rattray, R. Goodacre, LL. Larison, G. Siuzdak, ‘Systems Biology Guided by XCMS Online Metabolomics’, Nature Methods, 14(5), 461-462, 2017

  112. 111

    E. Forsberg, T. Huan, D. Rinehart, H. Benton, B. Hilmers, G. Siuzdak, ‘Data Processing, Multi-omic Pathway Mapping, and Metabolite Activity Analysis Using XCMS Online’, Nature Protocols, 13(4), 633-651, 2018

  113. 112

    B. Warth, S. Spangler, M. Fang, C. Johnson, E. Forsberg, R. Martin, A. Granados, X. Domingo-Almenara, T. Huan, D. Rinehart, J. Montenegro-Burke, B. Hilmers, A. Aisporna, L. Hoang, W. Heim, P. Benton, S. Richardson, S. Spangler, A. Williams, G. Siuzdak, ‘Exposome-Scale Investigations Guided by Global Metabolomics, Pathway Analysis, and Cognitive Computing’, Analytical Chemistry, 89(21), 11505-11513, 2017

  114. 113

    JR Montenegro-Burke, AE. Aisporna, HP. Benton, D. Rinehart, M. Fang, T. Huan, B. Warth, EM. Forsberg, BT. Abe, J. Ivanisevic, L. Teyton, L. Lairson, G. Siuzdak, ‘Data Streaming for Metabolomics: Accelerating Data Processing and Analysis from Days to Minutes’, Analytical Chemistry, 89(2), 1254-1259, 2017

  115. 114

    JR Montenegro-Burke, T. Phommavongsay, AE. Aisporna, T. Huan, D. Rinehart, E. Forsberg, FL. Poole, MP. Thorgersen, MWW. Adams, G. Krantz, MW. Fields, TR. Northen, PD. Robbins, LJ. Niedernhofer, L. Lairson, HP. Benton, G. Siuzdak, ‘Smartphone Analytics: Mobilizing the Lab into the Cloud for Omic-Scale Analyses’, Analytical Chemistry, 88(19), 2016

  116. 115

    T. Huan, JW. Xia, WN. Leung, L. Li, CW. Chan, ‘Cerebrospinal Fluid Metabolomics After Natural Product Treatment in an Experimental Model of Cerebral Ischemia’, OMICS: A Journal of Integrative Biology, 20(11), 670-680, 2016

  117. 116

    T. Huan, DA. Troyer, L. Li, ‘Metabolite Analysis and Histology on the Exact Same Tissue: Comprehensive Metabolomics Profiling and Metabolic Classification of Prostate Cancer’, Scientific Reports, 6, 2016

  118. 117

    X. Luo, S. Zhao, T. Huan, D. Sun, RMN. Friis, MC. Schultz, L. Li, ‘High-Performance Chemical Isotope Labeling Liquid Chromatography Mass Spectrometry for Profiling the Metabolomic Reprogramming Elicited by Ammonium Limitation in Yeast’, Journal of Proteome Research, 15(5) 1602-1612, 2016

  119. 118

    S. Geng, C. Zhou, W. Chen, S. Yu, W. Huang, T. Huan, J. Xu, X. Yan, ‘Fatty Acid and Sterol Composition Reveal Food Selectivity of Juvenile Ark Shell Tegillarca Granosa Linnaeus after Feeding with Mixed Microalgae’, Aquaculture, 455 109-117, 2016

  120. 119

    X. Su, N. Wang, D. Chen, Y. Li, Y. Lu, T. Huan, W. Xu, L. Li, L. Li, ‘Dansylation Isotope Labeling Liquid Chromatography Mass Spectrometry for Parallel Profiling of Human Urinary and Fecal Submetabolomes’, Analytica Chimica Acta, 903 100-109, 2016

  121. 120

    T. Huan, Y. Wu, C. Tang, G. Lin, L. Li, ‘DnsID in MyCompoundID for Rapid Identification of Dansylated Amine- and Phenol-containing Metabolites in Metabolomics’. Analytical Chemistry, 87(19) 9838-9845, 2015

  122. 121

    T. Huan, C. Tang, R. Li, Y. Shi, G. Lin, L. Li, ‘MyCompoundID MS/MS search: Metabolite Identification Using a Library of Predicted Fragment-Ion-Spectra of 383,830 Possible Human Metabolites’. Analytical Chemistry, 87(20) 10619-10626, 2015

  123. 122

    T. Huan, L. Li, ‘Quantitative Metabolome Analysis Based on Chromatographic Peak Reconstruction in Chemical Isotope Labeling Liquid Chromatography Mass Spectrometry’, Analytical Chemistry, 87(14) 7011-7016, 2015

  124. 123

    R. Zhou, T. Huan, L. Li, ‘Development of Versatile Isotopic Labelling Reagents for Profiling the Amine Submetabolome by Liquid Chromatography Mass Spectrometry’, Analytica Chimica Acta, 881 107-116, 2015

  125. 124

    T. Huan, L. Li, ‘Counting Missing Values in Metabolome Dataset for Measuring the Analytical Performance of a Metabolomics Platform’, Analytical Chemistry, 87(2) 1306-1313. 2015

  126. 125

    W. Xu, D. Chen, X. Su, N. Wang, R. Zhou, T. Huan, Q. Xie, L. Li, L. Li, ‘Development of High-Performance Chemical Isotope Labeling LC-MS for Profiling the Human Fecal Metabolome’, Analytical Chemistry, 87(2), 829-836, 2015. (ACS Editor Choice Paper)

  127. 126

    R. Zhou, CL. Tseng, T. Huan, L. Li, ‘IsoMS: Automated Processing of LC-MS Data Generated by a Chemical Isotope Labeling Metabolomics Platform’, Analytical Chemistry, 86(10) 4675-4679, 2014

  128. 127

    RMN. Friis, JP. Glaves, T. Huan, L. Li, BD. Sykes, MC. Schultz, ‘Rewiring AMPK and mitochondrial retrograde signaling for metabolic control of aging and histone acetylation in respiratory-defective cells’, Cell Reports, 7(2) 565-574, 2014

  129. 128

    L. Li, R. Li, J. Zhou, A. Zuniga, AE. Stanislaus, Y. Wu, T. Huan, J. Zheng, Y. Shi, DS. Wishart, G. Lin, ‘MyCompoundID: Using an Evidence-based Metabolome Library for Metabolite Identification’, Analytical Chemistry, 85(6) 3401-3408, 2013