Xia Lab
The latest publication list can also be found on my Google Scholar Profile
2024
  1. Pang, Z., Lu, Y., Zhou, G., Hui, F., Xu, L., Viau, C., Spigelman, A., MacDonald, P., Wishart, D., Li, S., and Xia, J. @ (2024) “MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation” Nucleic Acids Research (doi: 10.1093/nar/gkae253)
  2. Ewald J., Zhou, G., Lu, Y., Kolic, J., Ellis, C., Johnson, J., Macdonald P., and Xia, J. @ (2024) “Web-based Multi-omics Integration Using the Analyst Software Suite”, Nature Protocols (doi: 10.1038/s41596-023-00950-4)
2023
  1. Ewald J., Zhou, G., Lu, Y., and Xia, J.@ (2023) "Using ExpressAnalyst for Comprehensive Gene Expression Analysis in Model and Non‐Model Organisms" Current Protocols 3 (11), e922
  2. Wang, K., Liao, X., Xia, J., Xiao, C. Deng, J., Xu Z. "Metabolomics: A promising technique for uncovering quality-attribute of fresh and processed fruits and vegetables" Trends in Food Science & Technology, 104213
  3. Shiri, TJ., Viau, C., Gu, X., Lu, Y., and Xia, J.@ (2023) "The Native Microbiome Member Chryseobacterium sp. CHNTR56 MYb120 Induces Trehalose Production via a Shift in Central Carbon Metabolism during Early Life in C. elegans" Metabolites 13 (8), 953
  4. Zhou, Z., Wu, X., Wu, Y., ....Xia J. and 20 others, Shen S. (2023) “Indole-3-Propionic acid, A Gut Microbiota Metabolite, Protects Against the Development of Postoperative Delirium”. Annals of Surgery (doi: 10.1097/SLA.0000000000005886)
  5. Chang, L., Zhou, G., and Xia, J.@ (2023) "mGWAS-Explorer 2.0: Causal Analysis and Interpretation of Metabolite–Phenotype Associations" Metabolites 13 (7), 826
  6. Crump, D., Hickey G., Boulanger E., Masse, A., Head, JA., Hogan, N., Maguire, S., Xia, J., Hecker, M., Basu, N. (2023) "Development and initial testing of EcoToxChip, a novel toxicogenomics tool for environmental management and chemical risk assessment" Environmental Toxicology and Chemistry (doi: 10.1002/etc.5676)
  7. Liu, P., Ewald J., Legrand E., Jeon, Y.S., Sangiovanni, J., Hacariz, O., Pang, Z., Zhou, G., Head, J., Basu, N., and Xia, J.@ (2023) "ExpressAnalyst: a unified platform for RNA-sequencing analysis in non-model species" Nature Communications 14, 2995
  8. Lu, Y., Zhou, G., Ewald, J., Pang, Z., Shiri, T., and Xia, J.@ (2023) "MicrobiomeAnalyst 2.0: comprehensive statistical, functional and integrative analysis of microbiome data" Nucleic Acids Research (doi: 10.1093/nar/gkad407).
  9. Majumder, S., Sackey, T., Viau, C., Park, S., Xia, J., Ronholm, J. and George S. (2023) "Genomic and phenotypic profiling of Staphylococcus aureus isolates from bovine mastitis for antibiotic resistance and intestinal infectivity" BMC microbiology 23 (1), 1-18
  10. Dridi, L., Altamura, F., Gonzalez, E., Lui, O., Kubinski, R., Pidgeon, R., Montagut, A., Chong, J., Xia, J., Maurice, C., Castagner B. (2023). Identifying glycan consumers in human gut microbiota samples using metabolic labeling coupled with fluorescence-activated cell sorting. Nature Communications 662(14)
  11. Ni, Z., Wölk, M., Jukes, G., 18 others, Xia J., O’Donnell, V. and Fedorova M. (2023) “Guiding the choice of informatics software and tools for lipidomics research applications”. Nature Methods 20, 193-204
  12. Zhao, H., Chong, J. Li, D. and Xia, J. (2023) "Integrated multi-omics reveals the regulatory mechanism underlying the effects of artificial feed and grass feeding on growth and muscle quality of grass carp (Ctenopharyngodon idellus)" Aquaculture (doi: 10.1016/j.aquaculture.2022.738808)
  13. Lu, Y., Pang, Z., and Xia, J.@ (2023) "Comprehensive investigation of pathway enrichment methods for functional interpretation of LC-MS global metabolomics data" Briefings In Bioinformatics (doi: 10.1093/bib/bbac553).
2022
  1. Jeon, Y.S., Crump, D., Boulanger, E., Soufan, O., Park, B., Basu, N., Hecker, M., Xia, J. and Head, J. (2022) "Hepatic Transcriptomic Responses to Ethinylestradiol in Two Life Stages of Japanese Quail." Environmental Toxicology and Chemistry, 41 (11), 2769-2781
  2. Chang, L., Xia, J.@ (2022) "MicroRNA Regulatory Network Analysis Using miRNet 2.0" Transcription Factor Regulatory Networks, 185-204, Humana Press, New York, NY.
  3. Zhao H., Chong, J., Li D., Xia, J.@ (2022) "Integrated multiple-omics reveals the regulatory mechanism underlying the effects of artificial feed and grass feeding on growth and muscle quality of grass carp (Ctenopharyngodon idellus)" (doi: 10.1016/j.aquaculture.2022.738808)
  4. Pang, Z., Zhou, G., Ewald, J., Chang, L., Hacariz, O., Basu, N., Xia, J.@ (2022) "Using MetaboAnalyst 5.0 for LC-HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data" Nature Protocols (doi: 10.1038/s41596-022-00710-w).
  5. Marchand, H., Boulanger, BE, Vachon, N., Houde, M., Xia, J., Liu, P., Ewald, J., Bayen, S., Liu, L., Head JA (2022) "Exposure to contaminated river water is associated with early hatching and dysregulation of gene expression in early life stages of the endangered copper redhorse (Moxostoma hubbsi)" Environmental Toxicology & Chemistry (doi: 10.1002/etc.5391).
  6. Chang, L., Zhou, G., Ou, H., Xia, J.@ (2022) "mGWAS-Explorer: linking SNPs, genes, metabolites and diseases for functional insights" Metabolites (doi: 10.3390/metabo12060526).
  7. Legrand, E., Jeon, YS., Basu, N., Hecker, M., Crump, D., Xia, J., Chandramouli, B., Butler, H., Head, J. (2022) “Consideration of metabolomics and transcriptomics data in the context of using avian embryos for toxicity testing” Comparative Biochemistry and Physiology, Part C (doi: 10.1016/j.cbpc.2022.109370)
  8. Zhou, G., Pang Z., Lu, Y., Ewald, J., Xia, J.@ (2022) "OmicsNet 2.0: a web-based platform for multi-omics integration and network visual analytics" Nucleic Acids Research (doi:10.1093/nar/gkac376).
  9. Hacariz, O., Viau, C., Gu, X., Xia, J.@ (2022) “Native Microbiome Members of C. elegans Act Synergistically in Biosynthesis of Pyridoxal 5′-Phosphate” Metabolites (doi: 10.3390/metabo12020172)
  10. Colville, C., Alcaraz, AJG., Green, D., Park, B., Xia, J., Soufan, O., Hruṧka, P., Potěšil, D., Zdráhal, Z., Crump, D., Basu, N., Hogan, N., Hecker, M. (2022) “Characterizing toxicity pathways of fluoxetine to predict adverse outcomes in adult fathead minnows (Pimephales promelas)” Science of The Total Environment (doi: 10.1016/j.scitotenv.2021.152747)
  11. Ma, X., Li, J., Zhang, Y., Hacariz, O., Xia, J., Simpson, BK, Wang, Z. (2022) “Oxidative stress suppression in C. elegans by peptides from dogfish skin via regulation of transcription factors DAF-16 and HSF-1” Food & function (doi: 10.1039/D1FO02271G)
  12. Lu, Y., Chong, J., Shen, S., Chammas, JB., Chalifour, L., Xia, J.@ (2022) “TrpNet: Understanding Tryptophan Metabolism across Gut Microbiome” Metabolites (doi: 10.3390/metabo12010010)
  13. Alcaraz, AJG., Baraniuk, S., Mikulášek, K., Park, B., Lane, T., Burbridge, C., Ewald, J., Potěšil, D., Xia, J., Zdráhal, Z., Schneider, D., Crump, D., Basu, N., Hogan, N., Brinkmann, M., Hecker M. (2021) “Comparative analysis of transcriptomic points-of-departure (tPODs) and apical responses in embryo-larval fathead minnows exposed to fluoxetine” Environmental Pollution (doi: 10.1016/j.envpol.2021.118667)
2021
  1. Legrand, E., Basu, N., Hecker, M., Crump, D., Xia, J., Chandramouli, B., Butler, H., Head J. “Targeted Metabolomics to Assess Exposure to Environmental Chemicals of Concern in Japanese Quail at Two Life Stages” Metabolites (doi: 10.3390/metabo11120850)
  2. Soufan, O., Ewald, J., Zhou, G., Hacariz, O., Boulanger, E., Alcaraz, AJG., Hickey, G., Maguire, S., Pain, G., Hogan, N., Hecker, M., Crump, D., Head, J., Basu, N., Xia, J.@ (2021) “EcoToxXplorer: Leveraging Design Thinking to Develop a Standardized Web-Based Transcriptomics Analytics Platform for Diverse Users” Environmental Toxicology & Chemistry (doi: 10.1002/etc.5251)
  3. Alcaraz, AJG., Potesil, D., Mikulasek, K., Potesil, D., Park, B., Shekh, K., Ewald, J., Burbridge, C., Zdrahal, Z., Schneider, D., Xia, J., Crump, D., Basu, N., and Hecker M. (2021) “Assessing the Toxicity of 17α-Ethinylestradiol in Rainbow Trout Using a 4-Day Transcriptomics Benchmark Dose (BMD) Embryo Assay” Environmental Science & Technology (doi: 10.1021/acs.est.1c02401)
  4. Desforges, JP, Elena Legrand,E., Boulager, E., Liu, P., Xia, J., Butler, H., Chandramouli, B., Ewald, J., Basu, N., Hecker, M., Head, J., Crump D. (2021) “Using Transcriptomics and Metabolomics to Understand Species Differences in Sensitivity to Chlorpyrifos in Japanese Quail and Double‐Crested Cormorant Embryos” Environmental Technology & Chemistry (doi: 10.1002/etc.5174)
  5. Zhou, G., Ewald, J., and Xia, J.@ (2021) “OmicsAnalyst: a comprehensive web-based platform for visual analytics of multi-omics data” Nucleic Acids Research (10.1093/nar/gkab394)
  6. Pang, Z., Chong, J., Zhou, G., Morais D., Chang, L., Barrette, M., Gauthier, C., Jacques, PE., Li, S., and Xia, J.@ (2021) “MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights” Nucleic Acids Research (10.1093/nar/gkab382)
  7. Haçariz, O., Viau, C., Karimian, F., Xia, J.@ (2021) “The Symbiotic Relationship Between Caenorhabditis elegans and Members of Its Microbiome Contributes to Worm Fitness and Lifespan Extension” BMC Genomics 22 (364)
  8. Alcaraz, AJG., Potěšil, D., Mikulášek, K., Green, D., Park, B., Burbridge, C., Bluhm, K., Soufan, O., Lane, T., Pipal, M., Brinkmann, M., Xia, J., Zdráhal, Z., Schneider, D., Crump, D., Basu, N., Hogan, N., and Hecker M. (2021) “Development of a Comprehensive Toxicity Pathway Model for 17α-Ethinylestradiol in Early Life Stage Fathead Minnows (Pimephales promelas)” Environmental Science & Technology (doi: 10.1021/acs.est.0c05942)
  9. Liu, P., Ewald, J., Galvez, J., Head, J., Crump, D., Basu, N. and Xia, J.@ (2021) “Ultrafast functional profiling of RNA-seq data for nonmodel organisms” Genome Research (doi: 10.1101/gr.269894.120)
  10. Chang, HY., Colby, SM., Du, X., Gomez, J., Helf, M., Kechris, K., Kirkpatrick, C., Li, S., Patti, G., Renslow, R., Subramaniam, S., Verma, M., Xia, J., and Young JD (2021) “A Practical Guide to Metabolomics Software Development” Anal. Chem (doi: 10.1021/acs.analchem.0c03581)
  11. Pang, Z., Zhou, G., Chong, J. and Xia, J.@ (2021) “Comprehensive Meta-Analysis of COVID-19 Global Metabolomics Datasets” Metabolites (doi: 10.3390/metabo11010044)
2020
  1. Ewald, J., Soufan, O., Soufan, O. Xia, J.@ and Basu, N.@(2020) “FastBMD: an online tool for rapid benchmark dose-response analysis of transcriptomics data” Bioinformatics (doi: 10.1093/bioinformatics/btaa700)
  2. Chang, L., Zhou, G., Soufan, O. and Xia, J.@ (2020) “miRNet 2.0: network-based visual analytics for miRNA functional analysis and systems biology” Nucl. Acids Res. (doi: 10.1093/nar/gkaa467)
  3. Pang, Z., Chong, J., Li, S. and Xia, J.@ (2020) “MetaboAnalystR 3.0: Toward an Optimized Workflow for Global Metabolomics” Metabolites (doi: 10.3390/metabo10050186)
  4. Chong, J., Liu, P. and Xia, J@. (2020) “Using MicrobiomeAnalyst for comprehensive statistical, functional and meta-analysis of microbiome data” Nature Protocols (doi: 10.1038/s41596-019-0264-1)
  5. Viau, C., Hacariz, O., Karimian, F., and Xia J.@ (2020) “Comprehensive phenotyping and transcriptome profiling to study nanotoxicity in C. elegans”. PeerJ 8, e8684
  6. Ewald, J., Soufan, O., Crump, D., Hecker, M., Xia, J., and Basu, N. (2020) “EcoToxModules: Custom gene sets to organize and analyze toxicogenomics data from ecological species” Environmental Science and Technology (doi: 10.1021/acs.est.9b06607)
  7. Chong, J. and Xia, J@. (2020) “Metabolomics Data Analysis using MetaboAnalyst 4.0” Computational Methods and Data Analysis for Metabolomics. vol 2104. Humana, New York, NY (doi: 10.1007/978-1-0716-0239-3_17)
  8. Zhou, G., Li, S. and Xia, J@. (2020) “Network-based Approaches for Multi-omics Integration” Computational Methods and Data Analysis for Metabolomics, vol 2104. Humana, New York, NY (doi: 10.1007/978-1-0716-0239-3_23)
2019
  1. Zhou, G., Soufan, O., Ewald, J., Hancock, REW, Basu, N. and Xia, J@. (2019) “NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis” Nucleic Acids Research 47 W234-241
  2. Soufan O., Ewald J., Viau C., Crump D., Hecker M., Basu N., and Xia, J.@ (2019) "T1000: a reduced gene set prioritized for toxicogenomic studies". PeerJ 7: e7975 (doi.org/10.7717/peerj.7975)
  3. Chong, J., Yamamoto, M., and Xia, J@. (2019) “MetaboAnalystR 2.0: from raw spectra to biological insights” Metabolites 9, 57
  4. Khan, N., Mendonca1, L., Dhariwal, A., Fontes, G., Menzies, D., Xia, J., Divangahi, M., King. I. (2019) “Intestinal dysbiosis compromises alveolar macrophage immunity to Mycobacterium tuberculosis” Mucosal Immunology (doi: 10.1038/s41385-019-0147-3)
  5. Basu, N., Crump, D., Head, J., Hickey, G., Hogan, N., Maguire, S., Xia, J., and Hecker, M. (2019) “EcoToxChip: A next-generation toxicogenomics tool for chemical prioritization and environmental management” Environmental Toxicology and Chemistry 38 (2), 279–288 (doi: 10.1002/etc.4309)
  6. Zhao H., Soufan, O., Xia, J., Tang R., Li L., and Li, D. (2019) “Transcriptome and physiological analysis reveal alterations in muscle metabolisms and immune responses of grass carp (Ctenopharyngodon idellus) cultured at different stocking densities” Aquaculture (doi: 10.1016/j.aquaculture.2019.01.003)
  7. Chong, J., Wishart, D.S. and Xia, J.@ (2019) "Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis". Current Protocols in Bioinformatics 68, e86 (doi: 10.1002/cpbi.86)
2018
  1. Chong, J. and Xia, J@. (2018) “MetaboAnalystR: an R package for flexible and reproducible analysis of metabolomics data” Bioinformatics 34 4313-4314
  2. Zhou G. and Xia, J@. (2018) “OmicsNet - A web-based tool for creation and visual analysis of biological networks in 3D space” Nucleic Acids Research 46 W514-522
  3. Chong, J., Soufan, O., Li, C., Caraus, I., Li, S., Bourque, B., Wishart, DS., and Xia, J@. (2018) “MetaboAnalyst 4.0 – Towards More Transparent and Integrative Metabolomics Analysis” Nucleic Acids Research 46 W486-494
  4. Fan, Y., Habib. M., and Xia, J@. (2018) “Xeno-miRNet: a comprehensive database and analytics platform to explore xeno-miRNAs and their potential targets” PeerJ 6:e5650 (doi: 10.7717/peerj.5650)
  5. Zhao, H., Chong, J. Tang, R., Li, L., Xia, J. and Li. D. (2018) “Metabolomics Analysis Reveals Correlations between Fish Flesh Quality and Muscle Metabolite Profiles in Grass Carp (Ctenopharyngodon idellus)” GigaScience 7, 2018, 1-18
  6. Zhao, H., Xia, J., Zhang, X., He, X., Li, L., Tang, R., Chi, W., Li D. (2018) “Diet Affects Muscle Quality and Growth Traits of Grass Carp (Ctenopharyngodon idellus): A Comparison Between Grass and Artificial Feed” Frontiers in physiology 9, 283
  7. Kang, E., Zhou, G., Yousef, M., Cayrol, R., Xia, J., and Gruenheid S. (2018), “Loss of disease tolerance during Citrobacter rodentium infection is associated with impaired epithelial differentiation and hyperactivation of T cell responses” Scientific Reports 8:847 (doi: 10.1038/s41598-017-17386-y)
  8. Zhou, G. and Xia, J@. (2018) “Using OmicsNet for Network Integration and 3D Visualization” Current Protocols in Bioinformatics, 45 pages (doi: 10.1002/cpbi.69)
  9. Fan, Y. and Xia, J@. (2018) “miRNet – functional analysis and visual exploration of miRNA-target interactions in a network context” Computational Cell Biology, Springer, doi: 10.1007/978-1-4939-8618-7_10
  10. Dayalan, S., Xia, J., Spicer, R. A., Salek, R., and Roessner, U. (2018) “Metabolome Analysis” Reference Module in Life Sciences (Elsevier), 24 pages, doi: 10.1016/B978-0-12-809633-8.20251-3
2017
  1. Chong, J. and Xia, J@. (2017) “Computational approaches for integrative analysis of the metabolome and microbiome” Metabolites 7(4), 62
  2. Bourguinat, C., Keller, K., Xia, J., Lepage, P., McTier,T.L., Woods, D.J., and Prichard R. K. (2017) “Genetic profiles of ten Dirofilaria immitis isolates susceptible or resistant to macrocyclic lactone heartworm preventives” Parasites and Vectors, 10 (Suppl 2) :504
  3. Dhariwal, A., Chong, J., Habib, S., King, I., Agellon, LB., and Xia, J@. (2017) “MicrobiomeAnalyst – a web-based tool for comprehensive statistical, visual and meta-analysis of microbiome data”. Nucleic Acids Research 45 W180-188
  4. Gardinassi, L.G., Xia, J., Safo, S.E., Li, S. (2017) “Bioinformatics Tools for the Interpretation of Metabolomics Data” Current Pharmacology Reports 3: 374 doi: 10.1007/s40495-017-0107-0
  5. Xia, J@. (2017) “Computational strategies for biological interpretation of metabolomics data” Metabolomics: From Fundamentals to Clinical Applications, doi: 10.1007/978-3-319-47656-8
2016
  1. Fan, Y., Siklenka, K., Arora, S.K., Ribeiro, P., Kimmins, S., and Xia, J@. (2016) “miRNet - dissecting miRNA-target interactions and functional associations through network-based visual analysis” Nucleic Acids Research 44 W135-41
  2. O’Neill, M., Ballesteros, C., Tritten, L., Burkman, E., Zaky, W.I., Xia, J., Moorhead, A., Williams, S. A., and Geary, T. G. (2016) “Profiling the macrofilaricidal effects of flubendazole on adult female Brugia malayi using RNAseq” International Journal for Parasitology: Drugs and Drug Resistance 6 (3): 288-296
  3. Zhou, G., Stevenson, MM., Geary, T.G., and Xia, J@. (2016) “Comprehensive Transcriptome Meta-analysis to Characterize Host Immune Responses in Helminth Infections” PLOS Neglected Tropical Diseases 10 (4): e0004624
  4. Ballesteros C, Tritten, L., O’Neill, M., Burkman, E., Zaky, W.I., Xia, J., A Moorhead, A., Williams, S.A., and Geary, T.G. (2016) “The Effects of Ivermectin on Brugia malayi Females In Vitro: A Transcriptomic Approach” PLOS Neglected Tropical Diseases, 10(8): e0004929
  5. Gruber M., Xia, J., Yu, M., Steppuhn, H., Wall, K., Messer, D., Sharpe A.G., Acharya, S., Wishart, D.S., Johnson, D.W., Miller, D., Taheri, A. (2016) “Transcript analysis in two alfalfa salt tolerance selected breeding populations relative to a non-tolerant population” Genome, doi: 10.1139/gen-2016-0111
  6. Paudel, JR., Amirizian, A., Krosse, S., Giddings, J., Ismail, SAA., Xia, J., Gloer, JB., van Dam, NM., and Bede, JC. (2016) “Effect of atmospheric carbon dioxide levels and nitrate fertilization on glucosinolate biosynthesis in mechanically damaged Arabidopsis plants” BMC Plant Biology 16:68
  7. Ballesteros, C., Tritten, L., O’Neill, M., Burkman, E., Zaky, W.I., Xia, J., Moorhead, A., Williams, S.A., and Geary, T.G. (2016) “The effect of in vitro cultivation on the transcriptome of adult Brugia malayi”. PLOS Neglected Tropical Diseases, 10 (1): e0004311
  8. Xia, J@. and Wishart D.S.@ (2016) “Using MetaboAnalyst 3.0 for Comprehensive Metabolomics Data Analysis” Current Protocols in Bioinformatics, 55:14.10.1-14.10.91, 91 pages
2015
  1. Xia, J@., Gill, E., and Hancock, R.E.W@. (2015) “NetworkAnalyst for Statistical, Visual and Network-based Approaches for Meta-analysis of Expression Data” Nature Protocols 10 (6), 823-844.
  2. Siklenka, K., Erkek, S., Godmann, M., Lambrot, R., McGraw, S., Lafleur,C., Cohen, T., Xia, J., Suderman, M., Hallett, M., Trasler, J., Peters, A.H.F.M. and Kimmins, S. (2015) “Disruption of histone methylation in developing sperm impairs offspring health transgenerationally” Science 350: 6261
  3. Xia, J@., Sinelnikov, I.V., Han B., and Wishart D.S. (2015) “MetaboAnalyst 3.0 – Making Metabolomics More Meaningful”. Nucleic Acids Research 43 (W1): W251-257
  4. Bahado-Singh, R.O., Akolekar, A., Mandal, R., Dong, E., Xia, J., Kruger, M., Wishart D. S. and Nicolaides, K. (2015) “Metabolomic Analysis for First Trimester Down Syndrome Prediction” Obstetric Anesthesia Digest 35 (1), 35-36
  5. Yeung, A., Hale, C., Xia, J., Tate, P., Goulding, D., Keane, J., Mukhopadhyay, S., Forrester, L., Billker, O., Skarnes, W., Hancock R.E.W., and Dougan G. (2015) “Conditional-ready mouse embryonic stem cell derived macrophages enable the study of essential genes in macrophage function” Scientific Reports 5:8908
Before 2015
  1. Xia, J., Benner, M.J. and Hancock, REW. (2014) “NetworkAnalyst – integrative approaches for protein-protein interaction network analysis and visual exploration”. Nucleic Acid Research, 42, W167-174
  2. 34. Peng, J., Guo, K., Xia, J., Zhou, J., Yang, J., Westaway, D., Wishart, D.S. and Li., L. (2014) “Development of Isotope Labeling Liquid Chromatography Mass Spectrometry for Mouse Urine Metabolomics: Quantitative Metabolomic Study of Transgenic Mice Related to Alzheimer’s Disease” Journal of Proteome Research, 13(10): 4457-69
  3. 35. Pena, O.M., Hancock, D.G., Lyle, N.H., Linder, A., James A., Russell, J.A., Xia, J., Fjell, C.D., Boyd, J.H., and Hancock, R.E.W. (2014) “An Endotoxin Tolerance Signature Predicts Sepsis and Organ Dysfunction at Initial Clinical Presentation” EbioMedicine, 1(1): 64-71
  4. 36. Fan, L., Wang, Q., de la Fuente-Núñez, C., Sun, F., Xia, J., Xia, P., Hancock, R.E.W. (2014) “Increased IL-8 Production in Human Bronchial Epithelial Cells after exposure to Azithromycin pre-treated Pseudomonas aeruginosa in vitro” FEMS Microbiology Letters, 355(1): 43-50
  5. 37. Kleensang A., Maertens A., Rosenberg M., Fitzpatrick S., Lamb J., Auerbach S., Brennan R., Crofton K., Gordon B., Fornace A.J., Gaido K., Gerhold D., Haw R., Henney A., Ma’ayan A., McBride M., Monti S., Ochs M.F., Pandey A., Sharan R., Stierum R., Tugendreich S., Willett C., Wittwehr C., Xia, J., and 12 more authors. (2014) “T4 Workshop Report – Pathways of Toxicity”. ALTEX 31(1): 53-61
  6. Xia, J., Lyle, N.H., Mayer, M., Pena, O.M. and Hancock, R.E.W. (2013) “INVEX – a web-based tool for integrative visualization of expression data”. Bioinformatics, 29 (24), 3232-3234
  7. Ghobakhlou, A., Laberge, S., Antoun, H., Wishart, D.S., Xia, J., Krishnamurthy, R., Mandal, R. (2013) “Metabolomic Analysis of Cold Acclimation of Arctic Mesorhizobium sp. Strain N33”. PloS One, 8 (12), e84801
  8. Xia, J., Fjell, C.D., Mayer, M., Pena, O.M., Wishart, D.S. and Hancock, R.E.W. (2013) “INMEX – a web-based tool for integrative meta-analysis of expression data”. Nucleic Acids Research, 41, W63-W70
  9. Bahado-Singh, R.O., Akolekar, R., Mandal, R., Dong, E., Xia, J., Kruger, M., Wishart, D.S. and Nicolaides, K. (2013) “Metabolomic analysis for first-trimester Down syndrome prediction”. American Journal of Obstetrics and Gynecology, 208:371.e1-8
  10. Xia, J., Broadhurst, D., Wilson, M. and Wishart, D. (2013) “Translational biomarker discovery in clinical metabolomics: an introductory tutorial”. Metabolomics, 9, 280-299
  11. Canam, T., Li, X., Holowachuk, J., Yu, M., Xia, J., Mandal, R., Krishnamurthy, R., Bouatra, S., Sinelnikov, I. and Yu, B. (2013) “Differential metabolite profiles and salinity tolerance between two genetically-related brown-seeded and yellow-seeded Brassica carinata lines”. Plant Science, 198, 17–26.
  12. Wishart, D.S., Jewison, T., Guo, A.C., Wilson, M., Knox, C., Liu, Y., Djoumbou, Y., Mandal, R., Aziat, F., Dong, E., Bouatra, S., Sinelnikov, I., Arndt, D., Xia, J., Liu, P. et al. (2013) “HMDB 3.0 – The Human Metabolome Database in 2013”. Nucleic Acids Research, 41, D801-D807
  13. Bahado-Singh, R.O., Akolekar, R., Mandal, R., Dong, E., Xia, J., Kruger, M., Wishart, D.S. and Nicolaides, K. (2013) “First Trimester Metabolomic Detection of late-onset preeclampsia”. American Journal of Obstetrics and Gynecology, 208, 58.e1–58.e7
  14. Xia, J., Mandal, R., Sinelnikov, I., Broadhurst, D., and Wishart, DS. (2012) “MetaboAnalyst 2.0 – a comprehensive server for metabolomic data analysis” Nucleic Acids Research, W127-133
  15. Arndt, D., Xia, J., Yifeng Liu, Y., Zhou, Y., Guo, AC., Cruz, JA., Sinelnikov, I., Budwill, K., Nesbø, CL., and Wishart DS (2012) “METAGENassist: a comprehensive web server for comparative metagenomics”: Nucleic Acids Research, W88-W95.
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Last updated: 04-18-2024