Roy Goodacre

Last updated

Roy Goodacre
Prof Roy Goodacre.jpg
Born
Changi, Singapore
Alma materBristol University (BSc, PhD)
Awards
  • FACSS Charles Mann Award (2021)
  • RSC Robert Boyle Prize (2021)
  • RSC Bioanalytical Chemistry Award (2005)
Scientific career
Fields
Institutions
Thesis The Effects of Genotypic and Phenotypic Changes on Bacterial Identification using Pyrolysis Mass Spectrometry
Website http://www.biospec.net

Royston "Roy" Goodacre FRSC FLSW is Chair in Biological Chemistry at the University of Liverpool. With training in both Microbiology and Pyrolysis-Mass Spectrometry, Goodacre runs a multidisciplinary Metabolomics and Raman spectroscopy research group in the Institute of Systems, Molecular and Integrative Biology (ISMIB), [1] and leads ISMIB's Centre for Metabolomics Research and the Laboratory for Bioanalytical Spectroscopy. [2]

Contents

Early life and education

Goodacre was born in Changi, Singapore, and was educated from 1978 at the Monmouth School, in Wales, where he went on to study Biology, Chemistry and Mathematics at 'A' level. He received a 2i-class honours degree in Microbiology from the University of Bristol, where he was a student at Badock Hall Halls of residence at the University of Bristol, and remained to study for a PhD in pyrolysis-MS for bacterial identification [3] with the bacteriologist Dr Roger Berkeley at the University of Bristol, [4] defending his thesis in 1992. While in Bristol he met his wife: they married in 1991, celebrating 30 years of marriage in 2021, and have one daughter.

Roy Goodacre taking Raman measurements from pigments in Aboriginal Rock Art, Australia Roy Goodacre taking Raman measurements from pigments in Aboriginal Rock, Australia.pdf
Roy Goodacre taking Raman measurements from pigments in Aboriginal Rock Art, Australia

Career

Following his PhD, Goodacre took up a postdoctoral research position at Aberystwyth University between 1992 and 1995, and began his own research laboratory in 1995, with the award of a Wellcome Trust Research Career Development Fellowship, which he held until 1999, when he received tenure as a lecturer in Microbiology at Aberystwyth University. He moved to UMIST, which merged to become the University of Manchester, first as Reader in Analytical Science (Dept. of Chemistry, 2003–05) and then as Professor of Biological Chemistry, from 2005 to 2018. Goodacre was then recruited to the University of Liverpool to become Director of the Centre for Metabolomics Research (2018-). [6]

Goodacre is the founder and current Editor-in-Chief of the peer-reviewed scientific journal Metabolomics. [7] He is an Editorial Advisory Board member for the following journals: Analyst (2014-); Journal of Analytical and Applied Pyrolysis (1997-); Spectrochimica Acta A: Molecular and Biomolecular Spectroscopy (2016-).

Goodacre is a Founder and Director of the Metabolomics Society (2005–15, 2020–26) and served as President from 2022 to 2024. [8] Since 2008 he is also a Director of the Metabolic Profiling Forum.

He served as a Committee member of Royal Society of Chemistry's Analytical Division Council (2019-22). [9]

Since 2019 Goodacre has been a Trustee of the Analytical Chemistry Trust Fund (ACTF). [10]

Goodacre has supervised, and graduated, 53 PhD, 7 MSc and 2 MPhil postgraduate students. [11] [12]

Goodacre is known for innovative science teaching and scholarship, including the incorporation of music into formal lecture schedules, partly to aid mental well-being. [13]

Awards and honours

Research

Goodacre started Metabolomics research in the early 2000s with Douglas Kell. [22]  He helped to develop long-term metabolomics which allows fusion of GC-MS and LC-MS data collected over 12–24 months - which is based on mathematical corrections which effectively removes any (unavoidable) chromatographic and mass spectrometry instrumental drift. [23] This approach has been applied to generate profiles from ~1200 normal human serum samples [24] and to investigate human frailty in ageing populations of approx. 2000 individuals. [25]

Standardisation in Metabolomics is important and Goodacre was part of the Metabolomics Standards Initiative (MSI) [26] [27] which help establish metabolite identification reporting standards, [28] which have been very well adopted by the field. He chaired part of the MSI's data analysis workgroup and these minimum reporting standards were published. [29]

Goodacre was the first to show that surface-enhanced Raman scattering can be used for bacterial identification [30] and to use Spatially Offset Raman spectroscopy for through-container authentication of spirit drinks. [31]

As of 2020, Goodacre has authored two international patents, [32] [33] published over 400 peer-reviewed research articles and has an H-index of over 100 (see Google Scholar), [34] and edited two books on metabolomics. [35] [36]

Related Research Articles

<span class="mw-page-title-main">Analytical chemistry</span> Study of the separation, identification, and quantification of matter

Analytical chemistry studies and uses instruments and methods to separate, identify, and quantify matter. In practice, separation, identification or quantification may constitute the entire analysis or be combined with another method. Separation isolates analytes. Qualitative analysis identifies analytes, while quantitative analysis determines the numerical amount or concentration.

Chemometrics is the science of extracting information from chemical systems by data-driven means. Chemometrics is inherently interdisciplinary, using methods frequently employed in core data-analytic disciplines such as multivariate statistics, applied mathematics, and computer science, in order to address problems in chemistry, biochemistry, medicine, biology and chemical engineering. In this way, it mirrors other interdisciplinary fields, such as psychometrics and econometrics.

<span class="mw-page-title-main">Metabolomics</span> Scientific study of chemical processes involving metabolites

Metabolomics is the scientific study of chemical processes involving metabolites, the small molecule substrates, intermediates, and products of cell metabolism. Specifically, metabolomics is the "systematic study of the unique chemical fingerprints that specific cellular processes leave behind", the study of their small-molecule metabolite profiles. The metabolome represents the complete set of metabolites in a biological cell, tissue, organ, or organism, which are the end products of cellular processes. Messenger RNA (mRNA), gene expression data, and proteomic analyses reveal the set of gene products being produced in the cell, data that represents one aspect of cellular function. Conversely, metabolic profiling can give an instantaneous snapshot of the physiology of that cell, and thus, metabolomics provides a direct "functional readout of the physiological state" of an organism. There are indeed quantifiable correlations between the metabolome and the other cellular ensembles, which can be used to predict metabolite abundances in biological samples from, for example mRNA abundances. One of the ultimate challenges of systems biology is to integrate metabolomics with all other -omics information to provide a better understanding of cellular biology.

<span class="mw-page-title-main">Metabolome</span> Complete set of small molecules in a biological sample

The metabolome refers to the complete set of small-molecule chemicals found within a biological sample. The biological sample can be a cell, a cellular organelle, an organ, a tissue, a tissue extract, a biofluid or an entire organism. The small molecule chemicals found in a given metabolome may include both endogenous metabolites that are naturally produced by an organism as well as exogenous chemicals that are not naturally produced by an organism.

In a chemical analysis, the internal standard method involves adding the same amount of a chemical substance to each sample and calibration solution. The internal standard responds proportionally to changes in the analyte and provides a similar, but not identical, measurement signal. It must also be absent from the sample matrix to ensure there is no other source of the internal standard present. Taking the ratio of analyte signal to internal standard signal and plotting it against the analyte concentrations in the calibration solutions will result in a calibration curve. The calibration curve can then be used to calculate the analyte concentration in an unknown sample.

<span class="mw-page-title-main">MALDI imaging</span> Imaging system

MALDI mass spectrometry imaging (MALDI-MSI) is the use of matrix-assisted laser desorption ionization as a mass spectrometry imaging technique in which the sample, often a thin tissue section, is moved in two dimensions while the mass spectrum is recorded. Advantages, like measuring the distribution of a large amount of analytes at one time without destroying the sample, make it a useful method in tissue-based study.

<span class="mw-page-title-main">Pyrolysis–gas chromatography–mass spectrometry</span>

Pyrolysis–gas chromatography–mass spectrometry is a method of chemical analysis in which the sample is heated to decomposition to produce smaller molecules that are separated by gas chromatography and detected using mass spectrometry.

Mass spectrometry imaging (MSI) is a technique used in mass spectrometry to visualize the spatial distribution of molecules, as biomarkers, metabolites, peptides or proteins by their molecular masses. After collecting a mass spectrum at one spot, the sample is moved to reach another region, and so on, until the entire sample is scanned. By choosing a peak in the resulting spectra that corresponds to the compound of interest, the MS data is used to map its distribution across the sample. This results in pictures of the spatially resolved distribution of a compound pixel by pixel. Each data set contains a veritable gallery of pictures because any peak in each spectrum can be spatially mapped. Despite the fact that MSI has been generally considered a qualitative method, the signal generated by this technique is proportional to the relative abundance of the analyte. Therefore, quantification is possible, when its challenges are overcome. Although widely used traditional methodologies like radiochemistry and immunohistochemistry achieve the same goal as MSI, they are limited in their abilities to analyze multiple samples at once, and can prove to be lacking if researchers do not have prior knowledge of the samples being studied. Most common ionization technologies in the field of MSI are DESI imaging, MALDI imaging, secondary ion mass spectrometry imaging and Nanoscale SIMS (NanoSIMS).

<span class="mw-page-title-main">Matrix-assisted laser desorption electrospray ionization</span>

Matrix-assisted laser desorption electrospray ionization (MALDESI) was first introduced in 2006 as a novel ambient ionization technique which combines the benefits of electrospray ionization (ESI) and matrix-assisted laser desorption/ionization (MALDI). An infrared (IR) or ultraviolet (UV) laser can be utilized in MALDESI to resonantly excite an endogenous or exogenous matrix. The term 'matrix' refers to any molecule that is present in large excess and absorbs the energy of the laser, thus facilitating desorption of analyte molecules. The original MALDESI design was implemented using common organic matrices, similar to those used in MALDI, along with a UV laser. The current MALDESI source employs endogenous water or a thin layer of exogenously deposited ice as the energy-absorbing matrix where O-H symmetric and asymmetric stretching bonds are resonantly excited by a mid-IR laser.

<span class="mw-page-title-main">Douglas Kell</span> British biochemist


Douglas Bruce Kell is a British biochemist and Professor of Systems Biology in the Institute of Systems, Molecular and Integrative Biology at the University of Liverpool. He was previously at the School of Chemistry at the University of Manchester, based in the Manchester Institute of Biotechnology (MIB) where he founded and led the Manchester Centre for Integrative Systems Biology (MCISB). He served as chief executive officer (CEO) of the Biotechnology and Biological Sciences Research Council (BBSRC) from 2008 to 2013.

<span class="mw-page-title-main">Laser ablation electrospray ionization</span>

Laser ablation electrospray ionization (LAESI) is an ambient ionization method for mass spectrometry that combines laser ablation from a mid-infrared (mid-IR) laser with a secondary electrospray ionization (ESI) process. The mid-IR laser is used to generate gas phase particles which are then ionized through interactions with charged droplets from the ESI source. LAESI was developed in Professor Akos Vertes lab by Peter Nemes in 2007 and it was marketed commercially by Protea Biosciences, Inc until 2017. Fiber-LAESI for single-cell analysis approach was developed by Bindesh Shrestha in Professor Vertes lab in 2009. LAESI is a novel ionization source for mass spectrometry (MS) that has been used to perform MS imaging of plants, tissues, cell pellets, and even single cells. In addition, LAESI has been used to analyze historic documents and untreated biofluids such as urine and blood. The technique of LAESI is performed at atmospheric pressure and therefore overcomes many of the obstacles of traditional MS techniques, including extensive and invasive sample preparation steps and the use of high vacuum. Because molecules and aerosols are ionized by interacting with an electrospray plume, LAESI's ionization mechanism is similar to SESI and EESI techniques.

<span class="mw-page-title-main">Renato Zenobi</span> Swiss chemist

Renato Zenobi is a Swiss chemist. He is Professor of Chemistry at ETH Zurich. Throughout his career, Zenobi has contributed to the field of analytical chemistry.

Pharmacometabolomics, also known as pharmacometabonomics, is a field which stems from metabolomics, the quantification and analysis of metabolites produced by the body. It refers to the direct measurement of metabolites in an individual's bodily fluids, in order to predict or evaluate the metabolism of pharmaceutical compounds, and to better understand the pharmacokinetic profile of a drug. Alternatively, pharmacometabolomics can be applied to measure metabolite levels following the administration of a pharmaceutical compound, in order to monitor the effects of the compound on certain metabolic pathways(pharmacodynamics). This provides detailed mapping of drug effects on metabolism and the pathways that are implicated in mechanism of variation of response to treatment. In addition, the metabolic profile of an individual at baseline (metabotype) provides information about how individuals respond to treatment and highlights heterogeneity within a disease state. All three approaches require the quantification of metabolites found in bodily fluids and tissue, such as blood or urine, and can be used in the assessment of pharmaceutical treatment options for numerous disease states.

<span class="mw-page-title-main">Exometabolomics</span>

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<span class="mw-page-title-main">Gary Siuzdak</span> American chemist

Gary Siuzdak is an American chemist best known for his work in the field of metabolomics, activity metabolomics, and mass spectrometry. His lab discovered indole-3-propionic acid as a gut bacteria derived metabolite in 2009. He is currently the Professor and Director of The Center for Metabolomics and Mass Spectrometry at Scripps Research in La Jolla, California. Siuzdak has also made contributions to virus analysis, viral structural dynamics, as well as developing mass spectrometry imaging technology using nanostructured surfaces. The Siuzdak lab is also responsible for creating the research tools eXtensible Computational Mass Spectrometry (XCMS), METLIN, METLIN Neutral Loss and Q-MRM. As of January 2021, the XCMS/METLIN platform has over 50,000 registered users.

<span class="mw-page-title-main">XCMS Online</span> Bioinformatics software

XCMS Online is a cloud version of the original eXtensible Computational Mass Spectrometry (XCMS) technology, created by the Siuzdak Lab at Scripps Research. XCMS introduced the concept of nonlinear retention time alignment that allowed for the statistical assessment of the detected peaks across LCMS and GCMS datasets. XCMS Online was designed to facilitate XCMS analyses through a cloud portal and as a more straightforward way to analyze, visualize and share untargeted metabolomic data. Further to this, the combination of XCMS and METLIN allows for the identification of known molecules using METLIN's tandem mass spectrometry data, and enables the identification of unknown via similarity searching of tandem mass spectrometry data. XCMS Online has also become a systems biology tool for integrating different omic data sets. As of January 2021, the XCMSOnline - METLIN platform has over 44,000 registered users. XCMS - METLIN was recognized in 2023 as the year's top analytical innovation.

David S. Wishart is a Canadian researcher in metabolomics and a Distinguished University Professor in the Department of Biological Sciences and the Department of Computing Science at the University of Alberta. Wishart also holds cross appointments in the Faculty of Pharmacy and Pharmaceutical Sciences and the Department of Laboratory Medicine and Pathology in the Faculty of Medicine and Dentistry. Additionally, Wishart holds a joint appointment in metabolomics at the Pacific Northwest National Laboratory in Richland, Washington. Wishart is well known for his pioneering contributions to the fields of protein NMR spectroscopy, bioinformatics, cheminformatics and metabolomics. In 2011, Wishart founded the Metabolomics Innovation Centre (TMIC), which is Canada's national metabolomics laboratory.

References

  1. ↑ "Roy Goodacre, Institute of Integrative Biology – University of Liverpool".
  2. ↑ "Laboratory for Bioanalytical Spectroscopy - Institute of Integrative Biology, University of Liverpool".
  3. ↑ PhD thesis (1992). The effects of genotypic and phenotypic changes on bacterial identification using pyrolysis mass spectrometry. bris.on.worldcat.org (PhD). Retrieved 29 March 2020.
  4. ↑ "Dr Roger Berkeley – University of Bristol".
  5. ↑ "Shining light on Aboriginal rock art".
  6. ↑ "News article: Professors appointed to strengthen University's expertise in metabolomics and systems biology". 12 September 2018.
  7. ↑ "Metabolomics, Springer Journals".
  8. ↑ "The Metabolomics Society".
  9. ↑ "Analytical Division Council".
  10. ↑ "Analytical Chemistry Trust Fund".
  11. ↑ "PhD awards".
  12. ↑ "MSc and MPhil awards".
  13. ↑ "Music to Enjoy Science Lectures By – The Analytical Scientist".
  14. ↑ "The Nils Foss Excellence Prize 2021".
  15. ↑ "FACSS announces 2021 Charles Mann Award recipient".
  16. ↑ "RSC Analytical Division Horizon Prize: Robert Boyle Prize for Analytical Science (2021)".
  17. ↑ "Analytical Scientists Power List 2019".
  18. ↑ "Analytical Scientists Power List 2020".
  19. ↑ "Analytical Scientists Power List 2021".
  20. ↑ "Analytical Scientists Power List 2023".
  21. ↑ "RSC Bioanalytical Chemistry Award".
  22. ↑ Goodacre R, Vaidyanathan S, Dunn WB, Harrigan GG, Kell DB (2004). "Metabolomics by numbers: acquiring and understanding global metabolite data". Trends in Biotechnology. 2 (5): 245–252. doi:10.1016/j.tibtech.2004.03.007. PMID   15109811.
  23. ↑ Dunn WB, Broadhurst D, Begley P, Zelena E, McIntyre S, Anderson N, Brown M, Knowles JD, Halsall A, Haselden JN, Nicholls AW, Wilson ID, Kell DB, Goodacre R (2011). "Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry". Nature Protocols. 6 (7): 1060–1083. doi:10.1038/nprot.2011.335. PMID   21720319. S2CID   8152136.
  24. ↑ Dunn WB, Lin W, Broadhurst D, Begley P, Brown M, Zelena E, Vaughan AA, Halsall A, Harding N, Knowles JD, Francis-McIntyre S, Tseng A, Ellis DI, OHagan S, Aarons G, Benjamin B, Chew-Graham S, Moseley C, Potter P, Winder CL, Potts C, Thornton P, McWhirter C, Zubair M, Pan M, Burns A, Cruickshank JK, Jayson GC, Purandare N, Wu FC, Finn JD, Haselden JN, Nicholls AW, Wilson ID, Goodacre R, Kell DB (2015). "Molecular phenotyping of a UK population: defining the human serum metabolome". Metabolomics. 11 (1): 9–26. doi:10.1007/s11306-014-0707-1. PMC   4289517 . PMID   25598764.
  25. ↑ Rattray NJ, Trivedi DK, Xu Y, Chandola T, Johnson CH, Marshall AD, Mekli K, Rattray Z, Tampubolon G, Vanhoutte B, White IR, Wu FC, Pendleton N, Nazroo J, Goodacre R (2019). "Metabolic dysregulation in vitamin E and carnitine shuttle energy mechanisms identified as drivers behind human frailty". Nature Communications. 10 (1): 5027. doi:10.1038/s41467-019-12716-2. PMC   6831565 . PMID   31690722.
  26. ↑ Sansone SA, Nikolau B, van Ommen B, Kristal BS, Taylor C, Robertson D, Lindon J, Griffin JL, Sumner LW, van der Werf M, Hardy NW, Morrison N, Mendes P, Kaddurah-Daouk R, Goodacre R, Fan T, Fiehn O (2007). "The Metabolomics Standards Initiative (MSI)". Nature Biotechnology. 25 (8): 846–849. doi: 10.1038/nbt0807-846b . PMID   17687353. S2CID   20523053.
  27. ↑ Fiehn O, Robertson D, Griffin J, van der Werf M, Nikolau B, Morrison N, Sumner LW, Goodacre R, Hardy NW, Taylor C, Fostel J, Kristal B, Kaddurah-Daouk R, Mendes P, van Ommen B, Lindon JC, Sansone SA (2007). "The metabolomics standards initiative (MSI)". Metabolomics. 3 (3): 175–178. doi: 10.1007/s11306-007-0070-6 .
  28. ↑ Sumner LW, Amberg A, Barrett D, Beale MH, Beger R, Daykin CA, Fan TW, Fiehn O, Goodacre R, Griffin JL, Hankemeier T, Hardy N, Harnly J, Higashi R, Kopka J, Lane AN, Lindon JC, Marriott P, Nicholls AW, Reily MD, Thaden JJ, Viant MR (2007). "Proposed minimum reporting standards for chemical analysis Chemical Analysis Working Group (CAWG) Metabolomics Standards Initiative (MSI)". Metabolomics. 3 (3): 211–221. doi:10.1007/s11306-007-0082-2. PMC   3772505 . PMID   24039616.
  29. ↑ Goodacre R, Broadhurst D, Smilde A, Kristal BS, Baker JD, Beger R, Bessant C, Connor S, Capuani G, Craig A, Ebbels T, Kell DB, Manetti C, Newton J, Paternostro G, Somorjai R, Sjöström M, Trygg J, Wulfert F (2007). "Proposed minimum reporting standards for data analysis in metabolomics". Metabolomics. 3 (3): 231–241. doi: 10.1007/s11306-007-0081-3 .
  30. ↑ Jarvis RM, Goodacre R (2004). "Rapid discrimination of bacteria using surface enhanced Raman spectroscopy". Analytical Chemistry. 76 (1): 40–47. doi:10.1021/ac034689c. PMID   14697030.
  31. ↑ Ellis DI, Eccles R, Xu Y, Griffen J, Muhamadali H, Matousek P, Goodall I, Goodacre R (2017). "Through-container, extremely low concentration detection of multiple chemical markers of counterfeit alcohol using a handheld SORS device". Scientific Reports. 7 (1): 12082. Bibcode:2017NatSR...712082E. doi: 10.1038/s41598-017-12263-0 . PMC   5608898 . PMID   28935907.
  32. ↑ Goodacre R, Kell DB (1999), Composition analysis: WO9642058, US5946640
  33. ↑ Goodacre R, Upton M (2013), A method of analysing a sample including a microorganism of interest: PCTGB2015050551, EP3110963A1, WO2015128650A1, US20170073725A1
  34. ↑ "Roy Goodacre Google Scholar – University of Liverpool".
  35. ↑ Harrigan GG, Goodacre R (2003). "Metabolic Profiling: Its Role in Biomarker Discovery and Gene Function Analysis". Kluwer Academic Publishers, Boston: 335. ISBN   978-1-4615-0333-0.
  36. ↑ Vaidyanathan S, Harrigan GG, Goodacre R (2005). Metabolome analyses: strategies for systems biology. Boston: Springer. p. 383. ISBN   978-0-387-25240-7.
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