Professor Warwick Dunn BSc (Hons), PhD

Professor Warwick Dunn

School of Biosciences
Professor of Analytical and Clinical Metabolomics
Director of the Birmingham Metabolomics Training Centre
Director of Mass Spectrometry, Phenome Centre Birmingham

Contact details

School of Biosciences
University of Birmingham
B15 2TT

Professor Warwick (Rick) Dunn’s research group focuses on developing innovative chromatography, mass spectrometry, sample collection and computational resources and their application in the study of the complex role of metabolites in human ageing and diseases. Areas of biomedical study include endocrinology, inflammation and immunology including musculoskeletal health, cardio-renal diseases and complications of reproduction and pregnancy.


  • Fellow of the Higher Education Academy
  • PhD in Analytical Chemistry 1997
  • BSc(Hons) in Chemistry with Analytical Chemistry and Toxicology, University of Hull, 1993


Professor Dunn completed his BSc studies at The University of Hull and subsequently performed PhD studies at BP Chemicals and The University of Hull to develop innovative mass spectrometry interfaces to allow on-line monitoring of liquid chemical process streams. From 1997 Professor Dunn has been employed in industry (Croda Chemicals) and academia (IACR-Rothamsted, University of Sheffield, University of Manchester) where he has developed and applied analytical techniques to the study of chemical and biological systems.

From 2001 Professor Dunn has focused his research on the development and application of metabolomic techniques, firstly at The University of Sheffield to study plant metabolism (2001-2002) and subsequently at The University of Manchester (2003-2012) where he focused on the study of microbial and mammalian systems. Professor Dunn attained a Lectureship in 2011 and moved to The University of Birmingham in early 2013 to continue his research in applying metabolomics techniques to translational biomedical research and stratified medicine as well as developing new tools to aid in the higher resolution study of complex samples and datasets.


In the School of Biosciences:

Programme lead for Professional Placements in undergraduate degree programmes

Professor Dunn lectures on metabolism in the following undergraduate modules

  • BIO107 - Enzymes and metabolism
  • BIO139 - Human Biochemistry
  • BIO262 - Membrances, energy and metabolism

 Professor Dunn also lectures on metabolism in the following Masters course

  • Microbiology and Infection MSc

He also provides undergraduate and Masters research projects

Postgraduate supervision

For further information on PhD opportunities please visit


  • 2012-2016: Martin Jones, co-supervisor, University of Birmingham, PhD
  • 2012-2015: Kate Hollinshead, co-supervisor, University of Birmingham, PhD
  • 2013-2015: Gloria Ulasi, co-supervisor, University of Birmingham, M.Phil
  • 2013-2016: Riccardo Di Guida, primary supervisor, University of Birmingham, PhD
  • 2013-2016: Sharil Shafie, co-supervisor, University of Birmingham, PhD
  • 2015-2019: Elliott Palmer, primary supervisor, University of Birmingham, PhD
  • 2015-2019: James McKendry, co-supervisor, University of Birmingham, PhD


Professor Dunn's research group is focused on the development of bioanalytical and computational methods and open-access tools for application in the targeted and untargeted study of metabolism across the human lifecourse. Areas of methodological and tool development include:

  1. methods to profile large areas of metabolic networks applying untargeted bioanalytical and mass spectrometry approaches to both small studies (n<100 samples) and large studies (n>500 samples);
  2. quality assurance procedures for large-scale untargeted metabolomics studies for which Dr Dunn led many of the early developments from 2007 onwards and
  3. new methods and software tools for metabolite annotation and identification in untargeted metabolic studies. Current and future developments have driven forward the group's capabilities to apply untargeted metabolomics studies for dissecting the influence of metabolites on human ageing and diseases in a systems level approach where phenotype and metabolism are integrated.

This approach has been applied in three large-scale studies (600-3500 subject samples) and has resulted in the development of the Phenome Centre Birmingham, a £8M centre for large-scale metabolic phenotyping applying targeted and untargeted metabolomic approaches of which I am Director of Mass Spectrometry.

The large impacts on society and the economy will result from the study of the role of metabolites in the human lifecourse from in-utero to old age as is planned in the Phenome Centre Birmingham. Dr Dunn is currently, and will continue to, strengthen links with the College of Medical and Dental Sciences and the School of Sport, Exercise and Rehabilitation Sciences to study global and muscle-specific metabolism in relation to healthy ageing and inflammatory diseases; this will be driven through his role as theme lead for systems biology and metabolomics in the MRC-ARUK Centre for Musculoskeletal Ageing Research.

Professor Dunn also studies metabolism in relation to endocrine diseases (e.g. diabetes, polycystic ovary syndrome, insulin sensitivity and resistance), inflammatory and immunological diseases (e.g. arthritis), cancer (e.g. blood cancers), trauma (e.g. burn trauma) and complications of pregnancy. He also plans to collaborate with other system biologists to enhance the integration of data from different functional levels (e.g. how does metabolism influence epigenetic imprinting). The multi-disciplinary teams required for successful research programs is an important belief of Professor Dunn's and he will work towards the further integration of research excellence.

Related videos:

Metabolism and metabolomics in ME/CFS research: presented at Action for M.E. 2016 Conference and AGM 2016



Understanding the dynamics of metabolic changes in human health

Links to video on ThermoScientific website



The promise of mass spectrometry-based metabolomics for clinical research

Links to video on ThermoScientific website

Phenome Centre Birmingham:

 Birmingham Metabolomics Training Centre

Other activities

  • 2016-present: Reviews Editor, Metabolomics
  • 2015: Mass spectrometry committee for the Life Sciences review 2015
  • 2015-present: Midlands Analytical Division, Royal Society of Chemistry
  • 2011-2015: Conference and Training Committee, Metabolomics Society
  • 2013-present: Chair, Metabolite Identification Task Group, Metabolomics Society
  • 2014-present: Member of External Advisory Board, NIH Common Fund
  • Metabolomics Regional Metabolomics Cores
  • 2014-present: Member of the Metabolomics Society task group on data standards
  • 2010-2015: Director of the Metabolomics Society
  • 2011-2012: Organising Committee for MetaboMeeting 2012, Manchester, UK


Book Chapters (as joint author)

  1. Dunn, W.B., Winder, C.L. and Carroll, K.M. ‘Discovery-based Studies of Mammalian Metabolomes with the Application of Mass Spectrometry Platforms’ in Issues in Toxicology-Metabolic Profiling in Disease and Xenobiotics, Royal Society of Chemistry, 2014. ISBN-13: 978-1849731638
  2. Allwood, J.A., Winder, C.L., Dunn, W.B. and Goodacre, R. ‘Considerations in Sample Preparation, Collection, and Extraction Approaches Applied in Microbial, Plant, and Mammalian Metabolic Profiling’ in Methodologies for Metabolomics: Experimental Strategies and Techniques, Cambridge, 2014. ISBN: 9780521765909
  3. Dunn, W.B., Mamas, M. and Heazell, A. ‘Metabolomics and Its Role in the Study of Mammalian Systems’ in Metabolomics in Practice: Successful Strategies to Generate and Analyze Metabolic Data, Wiley-VCH, 2014. ISBN: 978-3-527-33089-8 9
  4. Winder, C.L. and Dunn, W.B. ‘Fit for Purpose Quenching and Extraction Protocols for Metabolic Profiling of Yeast using Chromatography-Mass Spectrometry Platforms’ in Yeast Systems Biology: Methods and Protocols, Methods Mol Biol. 2011, 759, 225-38.
  5. Dunn, W.B., Winder CL. ‘Sample preparation related to the intracellular metabolome of yeast methods for quenching, extraction, and metabolite quantitation’ in Methods in Systems Biology, Methods Enzymol. 2011, 500, 277-97. ISBN 978-1-61779-173-4

Peer Reviewed Scientific Publications as joint author – Original Research

  1. Freeman, O.J. Unwin, R.D. Dowsey, A.W. Begley, P., Ali, S., Hollywood, K.A., Rustogi, N., Petersen, R.S., Dunn, W.B., Cooper, G.J.S and Gardiner, N.J. Compartmentalization of dysfunctional mitochondrial metabolism in diabetic neuropathy. Diabetes, accepted for publication
  2. Armitage, E.G., Kotze, H.L., Allwood, J.W., Dunn, W.B., Goodacre, R. and Williams, K.J. Metabolic profiling reveals potential metabolic markers associated with Hypoxia Inducible Factor-mediated signalling in hypoxic cancer cells. Scientific Reports, accepted for publication
  3. Ludwig C. Williams D.S., Bartlett D.B., Essex S.J., McNee G., Allwood J.W., Jewell E., Barkhuisen A., Parry H., Anandram S., Nicolson P., Gardener C., Seymour F., Basu S., Dunn W.B., Moss P.A., Pratt G., Tennant D.A. Alterations in bone marrow metabolism are an early and consistent feature during the development of MGUS and multiple myeloma. Blood Cancer J. 2015. 5:e359.
  4. Mullard, G., Allwood, J.W., Weber, R., Brown, M., Begley, P., Hollywood, K.A., Jones, M., Unwin, R.D., Bishop, P.N., Cooper, G.J.S. and Dunn, W.B. A new strategy for MS/MS data acquisition applying multiple data dependent experiments on Orbitrap mass spectrometers in non-targeted metabolomic applications. Metabolomics, 2015, 11, 1068-1080
  5. Priyadarshini, P., Heazell, A.E.P., Mullard, G., Begley, P., Chen, Q., Brown, M., Dunn, W.B. and Chamley, L.W. Antiphospholipid Antibodies Alter Cell-Death-Regulating Lipid Metabolites in First and Third Trimester Human Placentae. American J. Reproductive Immunology, 2015, 74, 181-199.
  6. Drogan, D., Dunn, W.B., Lin, W., Buijsse, B., Schulze, M.B., Langenberg, C., Brown, M., Floegel, A., Dietrich, S., Rolandsson, O., Wedge, D.C., Goodacre, R., Forouhi, N.G., Sharp, S.J., Spranger, J., Wareham, N.J. & Heiner, H. Untargeted metabolic profiling identifies altered serum metabolites of type 2 diabetes mellitus in a prospective, nested case-control study. Clinical Chemistry, 2015, 61, 497-497
  7. Weber, R.J.M., Winder, C.L., Dunn, W.B. and Viant, M.R. Training needs in metabolomics. Metabolomics, 2015, 11, 784-796
  8. Gehmlich, K., Dodd, M.S., Allwood, J.W., Kelly, M., Bellahcene, M., Lad, H.V., Stockenhuber, A., Hooper, C., Ashrafian, H., Redwood, C.S., Carrier, L., Dunn, W.B. Changes in the cardiac metabolome caused by perhexiline treatment in a mouse model of hypertrophic cardiomyopathy. Mol Biosyst. 2015, 11(2):564-73
  9. Allwood, J.W., Chandra, S., Xu, Y., Dunn, W.B., Correa, E., Hopkins, L., Goodacre, R., Tobin, A.K. and Bowsher, C.G. Profiling of spatial metabolite distributions in wheat leaves under normal and nitrate limiting conditions. Phytochemistry, 2015, 115, 99- 111
  10. Dunn, W.B., Lin, W., Broadhurst, D., Begley, P., Brown, M., Zelena, E., Vaughan, A.A., Halsall, A., Harding, N., Knowles, J.D., Francis-McIntyre, S., Tseng, A., Ellis, D.I., O’Hagan, S., Aarons, G., Benjamin, B., Chew-Graham, S., Moseley, C., Potter, P., Winder, C.L., Potts, C., Thornton, P., McWhirter, C., Zubair, M., Pan, M., Burns, A., Cruickshank, J.K., Jayson, G.C., Purandare, N., Wu, F.C.W., Finn, J.D., Haselden, J.N., Nicholls, A.W., Wilson, I. D., Goodacre, R. & Kell, D.B. (2014) Molecular phenotyping 10 of a UK population: defining the human serum metabolome. Metabolomics, 2015, 11, 9-26
  11. Hollywood, K.A., Winder, C.L., Dunn, W.B., Xu, Y., Broadhurst, D., Griffiths, C.E.M. and Goodacre, R. Exploring the mode of action of dithranol therapy for psoriasis: a metabolomic analysis using HaCaT cells. Mol. Biosystems, 2015, 11, 2198-2209
  12. Bradbury, J. Genta-Jouve, G., Allwood, J.W., Dunn, W.B., Goodacre, R., Knowles, J.D., He, S. & Viant, M.R. MUSCLE: Automated closed loop multi-objective evolutionary LC-MS/MS method optimisation for targeted analysis. Bioinformatics, 2014, 975-977
  13. Anderson, S.G., Dunn, W.B., Banerjee, M., Brown, M., Broadhurst, D.I., Goodacre, R., Cooper, G.J.S., Kell, D.B. and Cruickshank, J.K. Evidence That Multiple Defects in Lipid Regulation Occur before Hyperglycemia during the Prodrome of Type-2 Diabetes. PloS One, 2014, e103217
  14. Kim, D.H., Allwood, J.W., Moore, R.E., Marsden-Edwards, E., Dunn, W.B., Xu, Y., Hampson, L., Hampson, I.N. and Goodacre, R. A metabolomics investigation into the effects of HIV protease inhibitors on HPV16 E6 expressing cervical carcinoma cells. Molecular Biosystems, 2014, 10, 398-411
  15. Bearden, D.W., Beger, R.D., Broadhurst, D., Dunn, W., Edison, A., Guillou, C., Trengove, R., Viant, M. and Wilson, I. The New Data Quality Task Group (DQTG): ensuring high quality data today and in the future. Metabolomics, 2014, 10, 539-540
  16. Creek, D.J., Dunn, W.B., Fiehn, O., Griffin, J.L., Hall, R.D., Lei, Z.T., Mistrik, R., Neumann, S., Schymanski, E.L., Sumner, L.W., Trengove, R. and Wolfender, J.L. Metabolite identification: are you sure? And how do your peers gauge your confidence? Metabolomics, 2014, 10, 350-353
  17. Dikicioglu, D., Oc, S., Rash, B.M., Dunn, W.B., Pir, P., Kell, D.B., Kirdar, B., Oliver, S.G. Yeast cells with impaired drug resistance accumulate glycerol and glucose. Mol. Biosyst. 2014, 10(1), 93-102.
  18. Zhou, J., Weber, R.J.M., Allwood, J.W., Mistrik, R., Zhu, Z., Ji, Z., Chen, S., Dunn, W.B., He, S. and Viant, M.R. HAMMER: Automated operation of Mass Frontier to construct in-silico mass spectral fragmentation libraries. Bioinformatics, 2014, 30, 581-583
  19. Kotze HL, Armitage EG, Sharkey KJ, Allwood JW, Dunn WB, Williams KJ, Goodacre R. A novel untargeted metabolomics correlation-based network analysis incorporating human metabolic reconstructions. BMC Systems Biology, 2013, 7, 107.
  20. Salek RM, Steinbeck C, Viant MR, Goodacre R, Dunn W.B. The role of reporting standards for metabolite annotation and identification in metabolomic studies. Gigascience. 2013, 2, 13.
  21. Allwood, J.W., Weber, R.J.M., Zhou, J., He, S., Viant, M.R. and Dunn, W.B. CASMI—The Small Molecule Identification Process from a Birmingham Perspective. Metabolites, 2013, 3, 397-411
  22. Thiele, I., Swainston, N., Fleming, R.M.T., ….. Dunn, W.B. (17th author of 46 authors) et al. A community-driven global reconstruction of human metabolism. Nature Biotechnology, 2013, 31(5), 419-25
  23. Dunn, W.B.; Hankemeier, T. Mass spectrometry and metabolomics : Past, present and future. Metabolomics, 2013, (9, suppl.1), 1-3.
  24. Heazell, A.E.P., Bernatavicius, G., Warrander, L., Brown, M.C., Dunn, W.B. A metabolomic approach identifies differences in maternal serum in third trimester pregnancies that end in poor perinatal outcome. Reproductive Sciences, 2012, 19(8), 863-75.
  25. Dunn, W.B., Brown, M.,Worton, S.A., Davies, K., Jones, R.L., Kell, D.B. & Heazell, A.E.P. The metabolome of human placental tissue: investigation of first trimester tissue and changes related to preeclampsia in late pregnancy. Metabolomics, 2012, 8, 579- 597 11
  26. Vaughan A.A., Dunn W.B., Allwood J.W., Wedge D.C., Blackhall F.H., Whetton A.D., Dive C., Goodacre R. Liquid chromatography-mass spectrometry calibration transfer and metabolomics data fusion. Anal. Chem. 2012, 84(22), 9848-57.
  27. Lee, D., Smallbone, K., Dunn, W.B., Murabito, E., Winder, C.L., Kell, D.B., Mendes, P. and Swainston, N. Improving metabolic flux predictions using absolute gene expression data. BMC Systems Biology 2012, 6, 73.
  28. Rehman, S., Xu, Y., Dunn, W.B., Day, P.J.R., Westerhoff, H.V., Goodacre, R., Bayat, A. Dupuytren's disease metabolite analyses reveals alterations following initial shortterm fibroblast culturing. Molecular BioSystems, 2012, 8(9), 2274-88.
  29. Dunn W.B., Summers A., Brown M., Goodacre R., Lambie M., Johnson T., Wilkie M., Davies S., Topley N., Brenchley P. Proof-of-principle study to detect metabolic changes in peritoneal dialysis effluent in patients who develop encapsulating peritoneal sclerosis. Nephrol. Dial. Transplant. 2012, 27, 2502
  30. Ugarte, M., Brown, M., Hollywood, K.A., Cooper, G.J., Bishop, P.N., Dunn, W.B. Metabolomic analysis of rat serum in streptozotocin-induced diabetes and after treatment with oral triethylenetetramine (TETA). Genome Med. 2012, 4, 35.
  31. Dikicioglu, D., Dunn, W.B., Kell, D.B., Kirdar, B., Oliver, S.G. Short- and long-term dynamic responses of the metabolic network and gene expression in yeast to a transient change in the nutrient environment. Mol. Biosyst. 2012, 8(6):1760-74.
  32. Carroll, K.M., Simpson, D.M., Eyers, C.E., Knight, C.G., Brownridge, P., Dunn, W.B., Winder, C.L., Lanthaler, K., Pir, P., Malys, N., Kell, D.B., Oliver, S.G., Gaskell, S.J., Beynon, R.J. Absolute quantification of the glycolytic pathway in yeast: deployment of a complete QconCAT approach. Mol. Cell Proteomics 2011, 10, M111.007633.
  33. Lloyd, A.J., Allwood, W.J, Winder, C.L., Dunn, W.B., Heald, J.K., Cristescu, S.M., Sivakumaran, A., Harren, F.J.M., Mulema, J., Denby, K., Goodacre, R., Smith, A.R., Mur, L.A.J., Metabolomic approaches reveal that cell wall modifications play a major role in ethylene-mediated resistance against Botrytis cinerea. The Plant Journal, 2011, 67(5), 852-68.
  34. Moing, A., Aharoni, A., Biais, B., Rogachev, I., Meir, S., Brodsky, L., Allwood, J.W., Erban, A., Dunn, W.B., Kay, L., de Koning, S., de Vos, R.C.H., Jonker, H., Mumm, R., Deborde, C., Maucourt, M., Bernillon, S., Gibon, Y., Hansen, T.H., Husted, S., Goodacre, R., Kopka, J., Schjoerring, J.K., Rolin, D., Hall, R.D. Extensive metabolic cross-talk in melon fruit revealed by spatial and developmental combinatorial metabolomics. New Phytologist, 2011, 190(3), 683-96.
  35. Wedge, D.C., Allwood, J.W., Dunn, W.B., Vaughan, A.A., Simpson, K., Brown, M., Priest, L., Blackhall, F.H., Whetton, A.D., Dive, C., Goodacre, R. Is serum or plasma more appropriate for intersubject comparisons in metabolomic studies? An assessment in patients with small-cell lung cancer. Anal. Chem. 2011, 83, 6689-97.
  36. Roobol, A., Roobol, J., Carden, M.J., Bastide, A., Willis, A.E., Dunn, W.B., Goodacre, R., Smales, C.M. ATR (ataxia telangiectasia mutated- and Rad3-related kinase) is activated by mild hypothermia in mammalian cells and subsequently activates p53. Biochem. J., 2011, 435(2), 499-508.
  37. Dunn, W.B., Broadhurst, D., Begley, P., Zelena, E., Francis-McIntyre, S., Anderson, N., Brown, M., Knowles, J.D., Halsall, A., Haselden, J.N., Nicholls, A.W., Wilson, I.D., Kell, D.B., Goodacre, R., Human Serum Metabolome (HUSERMET) Consortium. Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry. Nature Protocols 2011, 6, 1060-83.
  38. Brown, M., Wedge, D.C., Goodacre, R., Kell, D.B., Baker, P.N., Kenny, L.C., Mamas, M.A., Neyses, L., Dunn, W.B. Automated workflows for accurate mass-based putative 12 metabolite identification in LC/MS-derived metabolomic datasets. Bioinformatics 2011, 27, 1108-12.
  39. Heazell, A.E., Brown, M., Worton, S.A., Dunn, W.B. Review: The effects of oxygen on normal and pre-eclamptic placental tissue--insights from metabolomics. Placenta 2011, 32 Suppl 2:S119-24.
  40. Li, P., Dada, J.O., Jameson, D., Spasic, I., Swainston, N., Carroll, K., Dunn, W.B., Khan, F., Malys, N., Messiha, H.L., Simeonidis, E., Weichart, D., Winder, C., Wishart, J., Broomhead, D.S., Goble, C.A., Gaskell, S.J., Kell, D.B., Westerhoff, H.V., Mendes, P., Paton, N.W. Systematic integration of experimental data and models in systems biology. BMC Bioinformatics 2010, 11, 582.
  41. Xu, Y., Cheung, W., Winder, C.L., Dunn, W.B., Goodacre, R. Metabolic profiling of meat: assessment of pork hygiene and contamination with Salmonella typhimurium. Analyst 2011, 136, 508-14.
  42. Dobson P.D., Smallbone K., Jameson D., Simeonidis E., Lanthaler K., Pir P., Lu C., Swainston N., Dunn W.B., Fisher P., Hull D., Brown M., Oshota O., Stanford N.J., Kell D.B., King R.D., Oliver S.G., Stevens R.D., Mendes P. Further developments towards a genome-scale metabolic model of yeast. BMC Systems Biology 2010, 4, 145.
  43. Soydemir, F., Kuruvilla, S., Brown, M., Dunn, W.B., Day, P., Crocker, I.P., Baker, P.N., Sibley, C.P., Brownbill, P. Adapting in vitro dual perfusion of the human placenta to soluble oxygen tensions associated with normal and pre-eclamptic pregnancy. Lab. Invest. 2011, 91, 181-9.
  44. Horgan, R.P., Broadhurst, D.I., Walsh, S.K., Dunn, W.B., Brown, M., Roberts, C.T., North, R.A., McCowan, L.M., Kell, D.B., Baker, P.N., Kenny, L.C. Metabolic profiling uncovers a phenotypic signature of small for gestational age in early pregnancy. J. Proteome Res. 2011, 10, 3660-73.
  45. Kenny, L.C., Broadhurst, D.I., Dunn, W.B., Brown, M., North, R.A., McCowan, L., Roberts, C., Cooper, G.J.S., Kell, D.B. and Baker, P.N. Robust early pregnancy prediction of later preeclampsia using metabolomic biomarkers. Hypertension, 2010, 56, 741-749.
  46. Horgan, R., Broadhurst, D.I., Dunn, W.B., Brown, M., Heazell, A.E., Kell, D.B., Baker, P.N. and Kenny, L.C. Changes in the Metabolic Footprint of Placental Villous Explant- Conditioned Medium cultured in different oxygen tensions from placentas of Small for Gestational Age and normal pregnancies. Placenta, 2010, 31, 893-901.
  47. Kassama, Y., Xu, Y., Dunn, W.B., Geukens, N. Anné, J., Goodacre, R. Assessment of adaptive focused acoustics versus manual vortex/freeze-thaw for intracellular metabolite extraction from Streptomyces lividans producing recombinant proteins using GC-MS and multi-block principal component analysis. Analyst, 2010, 135, 934- 942.
  48. Pula, G., Garonna, E., Dunn, W.B., Hirano, M., Pizzorno, G., Campanella, M., Schwartz, E.L., El Kouni, M.H., Wheeler-Jones, C.P.D. Paracrine stimulation of endothelial cell motility and angiogenesis by platelet-derived deoxyribose-1-phosphate. Arteriosclerosis Thrombosis and Vascular Biology, 2010, 30(12), 2631-8.
  49. Westerhoff, H.V., Winder C., Messiha H., Simeonidis E., Adamczyk M., Verma M., Bruggeman F.J., Dunn W.B. Systems Biology: The elements and principles of Life, FEBS Letters, 2009, 583, 3882-3890.
  50. Dunn, W.B., Brown, M., Worton, S.A., Crocker, I.P., Broadhurst, D., Horgan, R., Kenny, L.C., Baker, P.N., Kell, D.B., Heazell, A.E. Changes in the metabolic footprint of cultured villous trophoblast identifies metabolic disturbances related to hypoxia and pre-eclampsia. Placenta, 2009, 30, 974-980.
  51. Begley, P., Francis-McIntyre, S., Dunn, W.B., Broadhurst, D.I., Halsall, A., Tseng, A., Knowles, J., HUSERMET Consortium, Goodacre, R., Kell, D.B. Development and Performance of a Gas Chromatography-Time-of-Flight Mass Spectrometry Analysis 13 for Large-Scale Nontargeted Metabolomic Studies of Human Serum. Analytical Chemistry, 2009, 81, 7038-7046.
  52. Sellick, C.A., Hansen, R., Maqsood, A.R., Dunn, W.B., Stephens, G.M., Goodacre, R., Dickson, A.J. Effective quenching processes for physiologically valid metabolite profiling of suspension cultured Mammalian cells. Analytical Chemistry, 2009, 81(1), 174-83.
  53. Allwood, J.W., Erban, A., de Koning, J., Dunn, W.B., Luedemann, A., Lommen, A., Kay, L., Löscher, R., Kopka, J., Goodacre, R. Inter-laboratory reproducibility of fast gas chromatography–electron impact–time of flight mass spectrometry (GC-EI-TOF/MS) based plant metabolomics. Metabolomics, 2009, 5, 479-496
  54. Ong, K.R., Sims, A.H., Harvie, M., Chapman, M., Dunn, W.B., Broadhurst, D, Goodacre, R, Wilson, M, Thomas, N, Clarke, RB, Howell, A. Biomarkers of Dietary Energy Restriction in Women at Increased Risk of Breast Cancer. Cancer Prev. Res., 2009, 2, 720-731
  55. Biais B, Allwood J.W., Deborde C, Xu Y, Maucourt M, Beauvoit B, Dunn W.B., Jacob, D., Goodacre, R., Rolin, D., Moing, A. 1H NMR, GC-EI-TOFMS, and data set correlation for fruit metabolomics: application to spatial metabolite analysis in melon. Analytical Chemistry 2009, 81, 2884-94.
  56. Zelena, E., Dunn, W.B., Broadhurst, D., Francis-McIntyre, S., Carroll, K.M., Begley, P., O'Hagan, S., Knowles, J.D., Halsall, A., HUSERMET Consortium, Wilson, I.D., Kell, D.B. Development of a Robust and Repeatable UPLC-MS Method for the Long-Term Metabolomic Study of Human Serum. Analytical Chemistry 2009, 81, 1357-1364.
  57. Brown, M., Dunn, W.B., Dobson, P., Patel, Y., Winder, C.L., Francis-McIntyre, S., Begley, P., Carroll, K., Broadhurst, D., Tseng, A., Swainston, N., Spasic, I., Goodacre, R., Kell, D.B. Mass spectrometry tools and metabolite-specific databases for molecular identification in metabolomics. Analyst 2009, 134, 1322-1332.
  58. Winder, C.L., Dunn, W.B., Schuler, S., Broadhurst, D., Jarvis, R., Stephens, G.M., Goodacre, R. Global metabolic profiling of Escherichia coli cultures: An evaluation of methods for quenching and extraction of intracellular metabolites. Analytical Chemistry 2008, 80, 2939-2948.
  59. Peiris, D., Dunn, W.B., Brown, M., Kell, D.B., Roy, I., Hedger J.N. Metabolite profiles of interacting mycelial fronts differ for pairings of the wood decay basidiomycete fungus, Stereum hirsutum with its competitors Coprinus micaceus and Coprinus disseminatus. Metabolomics 2008, 4, 52-62.
  60. MacKenzie D.A., Defernez, M., Dunn, W.B., Brown, M., Fuller, L.J., de Herrera, S.R., Günther, A., James, S.A., Eagles, J., Philo, M., Goodacre, R., Roberts, I.N. Relatedness of medically important strains of Saccharomyces cerevisiae as revealed by phylogenetics and metabolomics. Yeast 2008, 25, 501-512.
  61. Lu, H.M., Dunn, W.B., Shen, H.L., Kell, D.B., Liang, Y.Z. Comparative evaluation of software for deconvolution of metabolomics data based on GC-TOF-MS. Trac-Trends in Analytical Chemistry 2008, 27, 215-227.
  62. Kenny, L.C., Broadhurst, D., Brown, M., Dunn, W.B., Redman, C.W., Kell, D.B., Baker, P.N. Detection and identification of novel metabolomic biomarkers in preeclampsia. Reproductive Sciences 2008, 15, 591-597.
  63. Herrgard, M.J., Swainston, N., Dobson, P., Dunn, W.B., et al. A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology. Nature Biotechnology 2008, 26, 1155-1160.
  64. Heazell A.E.P., Brown, M., Dunn, W.B., Worton, S.A., Crocker, I.P., Baker, P.N., Kell, D.B. Analysis of the metabolic footprint and tissue metabolome of placental villous explants cultured at different oxygen tensions reveals novel redox biomarkers. Placenta 2008, 29, 691-698. 14
  65. Dunn, W.B., Broadhurst, D., Ellis, D.I., Brown, M., Halsall, A., O'Hagan, S., Spasic, I., Tseng A., Kell, D.B. A GC-TOF-MS study of the stability of serum and urine metabolomes during the UK Biobank sample collection and preparation protocols. International Journal of Epidemiology 2008, 37, 23-30.
  66. Samuel, J.L., Schaub, M.C., Zaugg, M., Mamas, M., Dunn, W.B. and Swynghedauw B. Genomics in cardiac metabolism. Cardiovascular Research 2008, 79, 218-227.
  67. Dunn. W.B., Broadhurst. D., Brown. M., Baker, P.N., Redman, C.W., Kenny, L.C., Kell, D.B. Metabolic profiling of serum using Ultra Performance Liquid Chromatography and the LTQ-Orbitrap mass spectrometry system. Journal of Chromatography BAnalytical Technologies in the Biomedical and Life Sciences 2008, 871, 288-298.
  68. Pope, G.A., MacKenzie, D.A., Defernez, M., Aroso, M.A., Fuller, L.J., Mellon, F.A., Dunn, W.B., Brown, M., Goodacre, R., Kell, D.B., Marvin, M.E., Louis, E.J., Roberts, I.N. Metabolic footprinting as a tool for discriminating between brewing yeasts. Yeast 2007, 24, 667-679.
  69. O'Hagan S., Dunn W.B., Knowles J.D., Broadhurst D., Williams R., Ashworth J.J., Cameron M., Kell D.B. Closed-loop, multiobjective optimization of two-dimensional gas chromatography/mass spectrometry for serum metabolomics. Analytical Chemistry 2007, 79, 464-476.
  70. Dunn, W.B., Broadhurst, D.I., Deepak, S.M., Mamta, Buch, M.H., McDowell, G., Spasic, I., Ellis, D.I., Brooks, N., Kell, D.B., Neyses, L. Serum metabolomics reveals many novel metabolic markers of heart failure, including pseudouridine and 2- oxoglutarate. Metabolomics 2007, 3, 413-426.
  71. Castrillo, J.I., Zeef, L.A., Hoyle, D.C., Zhang, N., Hayes, A., Gardner, D.C., Cornell, M.J., Petty, J., Hakes, L., Wardleworth, L., Rash, B., Brown, M., Dunn, W.B., et al. Growth control of the eukaryote cell: A systems biology study in yeast. Journal of Biology 2007, 6, 4.
  72. Underwood, B.R., Broadhurst, D., Dunn, W.B., Ellis, D.I., Michell, A.W., Vacher, C., Mosedale, D.E., Kell, D.B., Barker, R.A., Grainger, D.J., Rubinsztein, D.C. Huntington disease patients and transgenic mice have similar pro-catabolic serum metabolite profiles. Brain 2006, 129, 877-886.
  73. Spasic, I., Dunn W.B., Velarde, G., Tseng, A., Jenkins, H., Hardy, N., Oliver, S.G., Kell, D.B. MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics. BMC Bioinformatics 2006, 7, 281.
  74. Vaidyanathan, S., Jones, D., Broadhurst, D.I., Ellis, J., Jenkins, T., Dunn, W.B., Hayes, A., Burton, N., Oliver, S.G., Kell, D.B., Goodacre, A. A laser desorption ionisation mass spectrometry approach for high throughput metabolomics. Metabolomics 2005, 1, 243-250.
  75. O'Hagan, S., Dunn, W.B., Brown, M., Knowles, J.D., Kell, D.B. Closed-loop, multiobjective optimization of analytical instrumentation: Gas chromatography/time-of-flight mass spectrometry of the metabolomes of human serum and of yeast fermentations. Analytical Chemistry 2005, 77, 290-303.
  76. Kenny, L.C., Dunn, W.B., Ellis, D.I., Myers, J., Baker, P.N., GOPEC Consortium, Kell, D.B. Novel biomarkers for preeclampsia detected using metabolomics and machine learning. Metabolomics 2005, 1, 227-234.
  77. Brown, M., Dunn, W.B., Ellis, D.I., Goodacre, R., Handl, J., Knowles, J.D., O’Hagan, S., Spasic, I., Kell, D.B. A metabolome pipeline: from concept to data to knowledge. Metabolomics 2005, 1, 39-51.
  78. Dunn, W.B., Overy, S., Quick, W.P. Evaluation of automated electrospray-TOF mass spectrometry for metabolic fingerprinting of the plant metabolome. Metabolomics 2005, 1, 137-148. 15
  79. Ellis, D.I., O'Hagan, S., Dunn, W.B., Brown, M., Vaidyanathan, S. From genomes to systems. Genome Biology, 2004, 5(11), 354.

Peer Reviewed Scientific Publications as joint author – Review articles

  1. Dunn, W.B., Erban, A., Weber, R.J.M., Creek, D.J., Brown, M., Breitling, R., Hankemeier, T. Goodacre, R., Neumann, S., Kopka, J., Viant, M.R. Mass appeal: metabolite identification in mass spectrometry-focused untargeted metabolomics. Metabolomics, 2013, (9, suppl), 44-66.
  2. Dunn, W.B. Diabetes - the Role of Metabolomics in the Discovery of New Mechanisms and Novel Biomarkers. Current Cardiovascular Risk Reports, 2013, 7(1), 25-32.
  3. Dunn W.B., Wilson I.D., Nicholls A.W., Broadhurst D. The importance of experimental design and QC samples in large-scale and MS-driven untargeted metabolomic studies of humans. Bioanalysis. 2012, 4(18), 2249-64.
  4. Ellis, D.I., Brewster, V.L., Dunn, W.B., Allwood, J.W., Golovanov, A.P., Goodacre, R., Fingerprinting food : current technologies for the detection of food adulteration and contamination. Chemical Society Reviews, 2012, 41(17), 5706-27.
  5. Dunn, W.B., Goodacre, R., Neyses, L., Mamas, M. Integration of metabolomics in heart disease and diabetes research: current achievements and future outlook. Bioanalysis, 2011, 3, 2205-22.
  6. Winder, C.L., Dunn, W.B., Goodacre, R. TARDIS-based microbial metabolomics: time and relative differences in systems. Trends Microbiol. 2011, 19, 315-22.
  7. Mamas M., Dunn W.B., Neyses L., Goodacre R. The role of metabolites and metabolomics in clinically applicable biomarkers of disease. Arch. Toxicol. 2011, 85, 5-17.
  8. Dunn W.B., Broadhurst D.I., Atherton H.J., Goodacre R., Griffin J.L. Systems level studies of mammalian metabolomes: the roles of mass spectrometry and nuclear magnetic resonance spectroscopy. Chem. Soc. Rev. 2011, 40, 387-426. . [More than 170 citations]
  9. Dunn, W.B. Current trends and future requirements for the mass spectrometric investigation of microbial, mammalian and plant metabolomes. Physical Biology 2008, 5(1) 011001.
  10. Ellis, D.I., Dunn, W.B., Griffin, J.L., Allwood, J.W., Goodacre, R. Metabolic fingerprinting as a diagnostic tool. Pharmacogenomics 2007, 8, 1243-1266.
  11. Kell, D.B., Brown, M., Davey, H.M., Dunn, W.B., Spasic, I., Oliver ,S.G. Metabolic footprinting and systems biology: The medium is the message. Nature Reviews Microbiology 2005, 3, 557-565.
  12. Dunn, W.B., Ellis, D.I. Metabolomics: Current analytical platforms and methodologies. Trac-Trends in Analytical Chemistry 2005, 24, 285-294. [More than 440 citations]
  13. Dunn, W.B., Bailey, N.J.C., Johnson, H.E. Measuring the metabolome: current analytical technologies. Analyst 2005, 130, 606-625. [More than 440 citations]
  14. Goodacre, R., Vaidyanathan, S., Dunn, W.B., Harrigan, G.G., Kell, D.B. Metabolomics by numbers: acquiring and understanding global metabolite data. Trends in Biotechnology 2004, 22, 245-252. [More than 570 citations]

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