MetaboNews -- February 2017
MetaboNews Masthead
Published in partnership between
TMIC and the Metabolomics Society

Issue 66 - February 2017


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Welcome to the sixty-sixth issue of MetaboNews, a monthly newsletter published in partnership between The Metabolomics Innovation Centre (TMIC, and the international Metabolomics Society (, to keep metabolomics researchers and other professionals informed about new technologies, software, databases, events, job postings, conferences, training opportunities, interviews, publications, awards, and other newsworthy items concerning metabolomics. MetaboNews represents the one-stop-shop for the very latest and most critical news about the science of metabolomics. In this issue, we feature a Metabolomics Spotlight article by researchers at the University of Glasgow titled "MS2LDA: unsupervised substructure discovery in metabolomics data", and a metabolomics interview with Roger Giese of Northeastern University (USA).

This issue of MetaboNews is supported by:

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Chenomx Inc.

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Metabolomics Society Logo

Metabolomics Society News

Authors: Prof Melissa Fitzgerald & Dr Horst Joachim Schirra
13th Annual Conference of the International Metabolomics Society

25th – 29th June, 2017, Brisbane, Australia

Metabolomics 2017
Registration for the conference is now open at and abstract submission will open in February. The conference has the theme of Building Bridges and under this banner extends the field of metabolomics by building bridges to:
We are thrilled to announce an exciting program of 16 workshops to be held in the afternoon of Sunday 25th and morning of Monday 26th June, continuing the successful tradition of workshops starting the annual conference. The workshops will run in four parallel streams over both days.

One workshop will be organised by the Australia and New Zealand Metabolomics (ANZMET) Conference. ANZMET will be utilizing its engaging and successful peer conference model, established in Melbourne in 2016 to great acclaim, where the
workshop participants choose the discussion topics at the start of the workshop.

Four workshops will be organised by the Early Career Members Network (EMN) of the Metabolomics Society:
The other workshops will cover areas as diverse as genome-scale metabolic modelling, metabolite identification/annotation and includes the launch of PhenoMeNal – a cloud-based workflow for metabolomics. All agenda information is available here:

Abstract submission will open in February for the scientific sessions of the programme, featuring the following thematic streams:
Visit the website for the latest information about speakers, themes, workshops, accommodation and local activities for Metabolomics 2017 and register early — we are looking forward to welcoming you in Brisbane!

Click here for all the conference details:

Make the most of your trip to Brisbane, click the logos below to learn more about local attractions.


Australian & New Zealand Metabolomics Network (ANZMN)
Author: Oliver Jones
There are two upcoming mass spectrometry conferences in the Australasian area that will feature metabolomics this year.
  1. The 7th Asia Oceania Mass Spectrometry Conference will be held in Singapore from December 11-13, 2017. It is hosted by the Singapore Society of Mass Spectrometry (SSMS) and will feature a wide range of interesting work on mass spectrometry including proteomics and metabolomics. Please have a look at for all the details.
  2. The Australian and New Zealand Society for Mass Spectrometry (ANZSMS) will hold its 26th bi-annual conference from July 16-20, 2017 in Adelaide, South Australia. Please visit the official conference website ( for further details. At this meeting the ANZSMS plans to recognise contributions to mass spectrometry by awarding three individual medals. A description of these medals, and their individual eligibility and selection criteria, can be found on the society webpage at

Software Spotlight

Metabolomics Spotlight

MS2LDA Unsupervised Substructure


MS2LDA: unsupervised substructure discovery in metabolomics data

Feature article contributed by Justin J.J. van der Hooft, Joe Wandy, and Simon Rogers, Glasgow Polyomics/Computing Science, University of Glasgow, UK

Modern mass spectrometers are capable of producing fragmentation data for more than 1500 metabolites in just one sample. Detailed manual analysis of fragment (MS/MS) spectra for large metabolomics experiments is no longer feasible. To fully harness the power of untargeted metabolomics, novel software methods are needed to guide molecular data analysis and interpretation. Inspired by text-mining approaches, we recently introduced MS2LDA to discover, in an unsupervised manner, the substructures present in metabolomics data. Through MS2LDA, users can speed up their analysis by interrogating their data at the level of metabolite families as well as individual molecules.

Unsupervised methods have had great success in the analysis of large collections of documents. One popular algorithm, Latent Dirichlet Allocation (LDA), detects regular co-occurrence of words and uses these patterns to define topics. Each document is broken down into combinations of one or more topics. For example, in Figure 1, the red words in Document 1 are common in texts about football; so, we could mark that group of words as indicating a ‘football-related’ topic. The beauty of LDA is that grouping documents that share a topic requires only the shared presence of a small number of relevant words (where relevance is learnt by the algorithm). In contrast, standard clustering models require similarity across the entire document resulting in clusters that are too specific. With LDA, documents can be placed in multiple groups (one for each topic they include). For example, someone interested in business liquidation would be able to easily extract both documents in Figure 1, even though their similarity is limited to a small subset of their words.

From text mining to metabolomics data

Figure 1.
From text mining to metabolomics data: pattern mining by topic modelling. Words correspond to mass fragments and neutral losses, whereas documents correspond to fragmentation spectra of metabolites. Figure adapted from Figure 1 in Van der Hooft et al., PNAS, 2016.

If we replace documents with metabolites and words with metabolite fragments (and neutral losses), we can apply the same methodology to find fragmental topics indicative of molecular substructures. These substructures can be structurally characterized using expert knowledge and spectral matching, allowing the user to easily extract all molecules in a dataset that include a specific substructure. Applied to metabolomics data of beer extracts, we discovered many of such topics—we call them Mass2Motifs—representing a wide range of biochemically relevant substructures such as sugars (sweetness), amino acids (nutritional), and hydroxycinnamic acids (anti-oxidants); see Figures 2 and 3.

Recurring fragmentation pattern discovered by MS2LDA

Figure 2.
Recurring fragmentation pattern discovered by MS2LDA that was characterized as ferulic acid (a hydroxycinnamic acid). Panels A to C show three spectra where the mass fragments and neutral losses grouped in the ferulic acid Mass2Motif are highlighted in blue. Panel D shows a histogram counting the occurrence of the fragments and losses in the 11 spectra that are member of the ferulic acid structural family. Figure adapted from Figure 2 in Van der Hooft et al., PNAS, 2016.

Network representation of decomposed fragmentation

              data of beer extract

Figure 3. Network representation of decomposed fragmentation data of beer extract and examples of biochemically relevant substructures found in beer samples. Larger circles represent Mass2Motifs found in the beer extract, whereas small blue circles represent metabolites, which are linked to one or more Mass2Motifs in the network.

By recognizing the building blocks in metabolomics data, we can lessen one of the major challenges in metabolomics research: structural identification of the diverse collection of metabolites present in biological extracts. Through automated classification of metabolites based on their Mass2Motifs, many previously unknown metabolites can at least be assigned to biochemically relevant structural families. As more substructures are characterized and stored as fragmental Mass2Motifs, more metabolites can be assigned to structural families. As with multiple topics within a document, it is natural to think of metabolites as containing multiple substructures, since for many metabolites, metabolite building blocks are used to create multiple end-products. For example, adenosine consists of a nucleotide and a glycoside unit and these substructures were both discovered in beer extracts by MS2LDA. Thus, users can start to ‘build’ metabolites from their basic building blocks, as detected by mass spectrometry.

To visualize the presence of metabolite families and their relations to metabolites, a network graph can be created from MS2LDA (see Figure 3, for data derived from beer extracts). Each circle represents a Mass2Motif and its size is proportional to the number of metabolites in which it is found. Examples of ‘large circles’ are the loss of CHOOH, indicative for a free carboxylic acid group, present in amino acids and small organic acids that are indeed commonly present in beer. Some metabolites are connected to multiple Mass2Motifs, indicating that they consist of multiple substructures. The biochemical grouping of metabolites can be further exploited by combining fold change information from comparative metabolomics to identify differentially expressed Mass2Motifs. This is analogous to transcriptomics where gene ontology grouping is used to group transcripts and thereby enhance the differential expression analysis.

We expect that our tool will be useful in areas such as pharmaco-metabolomics and environmental metabolomics, where researchers are looking for drug or toxin related structures, often containing characteristic substructures. For example, our tool could recognize drug metabolites present within a complex molecular profile of urine. Another area where it can speed up analysis of molecular profiling is natural products discovery, where scientists look to find novel bioactive substructures that are needed to develop drugs.

Are you interested in using MS2LDA for your own research? Do you have any feedback or suggestions? Please feel free to email the MS2LDA authors.

Citing MS2LDA

Please note: If you know of any metabolomics research programs, software, databases, statistical methods, meetings, workshops, or training sessions that we should feature in future issues of this newsletter, please email Ian Forsythe at
 MetaboInterview Icon


This section features interviews with prominent researchers in the field of metabolomics. The aim of these interviews is to shed light on metabolomics researchers around the world and give them an opportunity to share their metabolomics story. In this issue, we feature an interview with Roger Giese.

Roger W. Giese, PhD


Roger W. Giese, PhD is a Professor of Chemistry and Biomedical Science, in the Department of Pharmaceutical Sciences at Northeastern University in Boston.

Dr. Giese is interested in measuring the human exposome by mass spectrometry, and in increasing analytical specificity and sensitivity in metabolomics.

Metabolomics Interview (MN, MetaboNews; RG, Roger W. Giese)

MN: How did you get involved in metabolomics?

RG: We became involved in metabolomics via a project on preterm birth. This project was motivated by the increased rate of preterm birth throughout the world, beginning in the early eighties. The burden of preterm birth in my country is $26B, which reflects much misery. There has been concern, and some preliminary evidence, that pollution contributes. Our project is focused on pregnant women in Puerto Rico, where the incidence of preterm birth is relatively high, and there are more than 200 hazardous waste sites. We undertook studies to compare the exposome in biosamples from cases (preterm birth) and controls (full-term birth) in Puerto Rico.

MN: What are some of the most exciting aspects of your work in metabolomics?

RG: The most exciting aspect of our work is that we developed an assay, based on mass spectrometry, for deep mining of the urine nonpolar sulfateome [1]. This is a good place to hunt for some of the exposome. The assay gave 1129 preliminary hits (testing of six, accumulated pregnancy urines) for nonpolar sulfates, up from about 15 in prior literature by a given analysis. The number of preliminary hits for xenobiotics was 35, which can be considered, once confirmed, for future targeted assays. There were also 122 hits for steroids and 1582 for flavonoids. In this method each large urine sample was competitively extracted with a mixture of adsorbents in a tea bag, set up as a stirring paddle [2]. The extraction was made competitive by limiting the amounts of the adsorbents.
Mixture of adsorbents in a tea bag

MN: What key metabolomics initiatives are you pursuing at your research centre or institute?

RG: In the preterm birth project we are next seeking to measure the exposome of placenta. For this analysis our detection technique will be primarily GC-MS. An interesting challenge here is to achieve a broad extraction of xenobiotics (which unfortunately holds back sample cleanup), without excessively compromising the GC-MS system. In other studies we are exploring cationic derivatization with intensified neutral loss reagents having various functional groups to measure one part of the metabolome at a time, and thereby reduce the complexity of the metabolomics data [3]. Analysis of the DNA adductome, and of breath condensate, also are of interest.


MN: What is happening in your country in terms of metabolomics?

RG: Metabolomics is being conducted at academic centers, commercially, and by pharma. There is much activity in all three areas.  

MN: How do you see your work in metabolomics being applied today or in the future?

RG: We hope that our work helps to advance the technology for measuring the exposome in human samples, towards a goal of learning more about the contribution of the environment to disease. We also hope to make advances in analytical sensitivity for metabolomics.

MN: As you see it, what are metabolomics' greatest strengths?

RG: Metabolomics provides discovery in several ways, and I think this is its greatest strength.

MN: What do you see as the greatest barriers for metabolomics? 

There are barriers at all stages of the metabolomics. We are particularly interested in two of the challenges. The first one is the measurement of the exposome. This is challenging because it is “buried” under the endogenous metabolome, like grass in a forest. The second one is reproducibility, which is part of the general reproducibility crisis in the sciences. Reproducibility is a great challenge for metabolomics.

MN: What improvements, technological or otherwise, need to take place for metabolomics to really take off? 

RG: In some respects metabolomics has already taken off, for example where it has been combined successfully with orthogonal technologies to make discoveries. One great need is for advances in the area of sample preparation. The minimal sample preparation techniques (e.g., “dilute and shoot”) for metabolomics are popular and useful, but also have limitations. Increasing sample preparation sometimes is necessary, but this tends to reduce throughput, and adds more variables that can compromise reproducibility in other ways.

MN: How does the future look in terms of funding for metabolomics?

RG: It is not a secret that the competition for funding is intense these days. Overall, I believe the future looks good, because of the widespread interest in metabolomics among various funding agencies, companies, and foundations.

MN: What role can metabolomics standards play?

RG: The extra complexity of metabolomics makes standards of all types in this area extra challenging and important.

MN: Do you have any other comments that you wish to share about metabolomics?

RG: The highly interdisciplinary nature of metabolomics makes it an exciting field of research. In our work, for example, as in many other laboratories, there is a collaboration among a diversity of scientists. This adds to the interest of working in this field.

  1. Yao Y, Wang P, Shao G, Del Toro LVA, Codero J, Giese RW. Nontargeted analysis of the urine nonpolar sulfateome: a pathway to the nonpolar xenobiotic exposome, Rapid Commun. Mass Spectrom. 2016, 30, 2341-2350. doi:10.1002/rcm.7726. [PMID: 27557133]
  2. Shao G, MacNeil M, Yao Y, Giese RW. Porous extraction paddle: a solid-phase extraction technique for studying the urine metabolome, Rapid Commun. Mass Spectrom. 2016, 30, 2462-2470. doi:10.1002/rcm.7739. [PMID: 27624170]
  3. Wang P, Zhang Q, Yao Y, Giese RW. Cationic Xylene Tag for Increasing Sensitivity in Mass Spectrometry, J. Am. Soc. Mass Spectrom. 2015, 26, 1713-1721.doi: 10.1007/s13361-015-1200-4. [PMID: 26115969]
Please note: We are open to suggestions for our MetaboInterviews section. Please send suggestions for future interview candidates to Ian Forsythe at


                                  Current Contents

Metabolomics Current Contents

Recently published papers in metabolomics:



9 Jan 2017

Diagnosing, detecting, and predicting diseases just got six million times easier

The Canada Foundation for Innovation (CFI) just gave a $6 million vote of confidence to medical research in the burgeoning field of metabolomics with this morning’s announcement of funding for Canada’s national metabolomics laboratory, the Metabolomics Innovation Centre (TMIC), hosted at the University of Alberta.

Metabolomics provides scientists with a powerfully precise route to study drug metabolism, gene-environment interactions, and biochemical processes. “Metabolomics uses some of the latest techniques in analytical chemistry and computational biology to measure the chemicals that living organisms need—such as amino acids and vitamins—as well as the chemicals that living organisms are exposed to, such as drugs, pesticides, and pollutants,” says David Wishart, professor in the University of Alberta Faculty of Science and lead of TMIC.  “It is shining a new light on how chemicals affect human, animal, and plant health and leading to some really innovative approaches for diagnosing and predicting disease.”

Source: University of Alberta Faculty of Science

Metabolomics Events

Metabolomics Events

8-9 Feb 2017

Computational Environmental Metabolomics Course

Birmingham Metabolomics Training Centre, University of Birmingham, Birmingham, UK

This 2-day NERC funded Advanced Training Short Course will provide a theoretical overview and hands-on training in the processing and analysis of metabolomics data. You will study specific case studies from the environmental sciences, learning the step-by-step processes that are applied in the data analysis pipeline. The course will be delivered using a combination of lectures and computer workshops, and time will be dedicated to answering questions and discussing your projects.
Topics include:
  • An overview of the data processing pipeline
  • Principal component analysis, discriminant analysis and model validation
  • Univariate statistical analysis
  • Common misunderstandings in chemometrics and model interpretation
  • Computational metabolite annotation and identification
Registration fee: £570 for non-NERC funded scientists, bursaries available for NERC-funded scientists, visit our website for further information and registration details or contact

10-14 Feb 2017

Phenome 2017

Venue: Hilton El Conquistador Resort, Tucson, Arizona, USA

The Phenome 2017 conference is an important step in the development of a path toward training and collaboration among disciplines that are poised to address critical social issues and to generate greater understanding about plants and climate change. This first conference will bring together a multidisciplinary community comprising plant biologists, ecologists, engineers, agronomists, and computer scientists.

Please share this flyer with your members of your department and encourage your students to register to attend the meeting. Highly relevant abstracts submitted by November 1 may be considered to give a talk during one of the sessions.

Please visit to register and learn more about the meeting.

13-17 Feb 2017

EMBO Practical Course on Metabolomics Bioinformatics for Life Scientists

Venue: European Bioinformatics Institute (EMBL-EBI) - Training Room 2 - Wellcome Genome Campus, Hinxton, Cambridge,  CB10 1SD, UK

Application opens: Monday August 08 2016
Application deadline: Friday November 11 2016
Participation: Open application with selection
Contact: Maria Bacadare Goitia
Registration fee: £350

This course will provide an overview of key issues that affect metabolomics studies, handling datasets and procedures for the analysis of metabolomics data using bioinformatics tools. It will be delivered using a mixture of lectures, computer-based practical sessions and interactive discussions. The course will provide a platform for discussion of the key questions and challenges in the field of metabolomics, from study design to metabolite identification.

This course is aimed at PhD students, post-docs and researchers with at least one year’s experience in the field of metabolomics who are seeking to improve their skills in metabolomics data analysis. Participants ideally must have working experience using R (including a basic understanding of the syntax and ability to manipulate objects).

For more information, please visit

20 Feb to
17 Mar 2017

Metabolomics Data Processing and Data Analysis Online Course

An online course by the Birmingham Metabolomics Training Center, University of Birmingham, UK hosted by Futurelearn
Venue: Birmingham Metabolomics Training Centre, University of Birmingham, Birmingham, UK

This four-week online course will explore the tools and approaches that are used to process and analyse metabolomics data, we will investigate the challenges that are typically encountered in the analysis of metabolomics data and provide solutions to overcome these problems. The course will be delivered using a combination of short videos, articles, discussions, and online workshops with step-by-step instructions and test data sets. We will provide quizzes, polls and peer review exercises each week, so that you can review your learning throughout the course. The material will be delivered over a four week period, with an estimated learning time of four hours per week. If you do not have time to complete the course during the 4-week period you will retain access to the course material to revisit, as you are able.

Registration fee: Early-bird £200, Standard £220

For further information and registration details, please visit or contact

13-15 Mar 2017

CPSA Metabolomics 2017

The University of Florida Clinical & Translational Science Institute, Gainesville, Florida, USA

3rd Annual Metabolomics Symposium on Clinical and Pharmaceutical Solutions through Analysis (CPSA Metabolomics 2017)

"… differential nutrient utilization patterns can identify subsets of cancers with distinct tendencies for potential pharmacological intervention." - Allen, EL; Ulanet, DB; Pirman, D; et al. Cell Rep. 2016, Oct 11; 17; 876-890.

Technologies and Methodologies for Drug Discovery
Our Discussion Leader, John Janiszewski of Pfizer, has organized a provocative session to help delineate the role of novel technologies and methods for drug discovery that range from biomarker validation to fluxomics to computational approaches. Please make plans for engaging discussions and visit the recently updated program agenda to review our line-up of sessions and exciting events at this year's annual meeting.

Call for Papers
Abstracts are being accepted for the 3rd Annual Metabolomics Symposium on Clinical and Pharmaceutical Solutions through Analysis (CPSA Metabolomics 2017)! Click on Call for Papers for author instructions. Submit your abstract by February 28, 2018.

Registration is open! Click on the CPSA Metabolomics 2017 registration link and register today!

Travel & Accommodations
Prepare now for your Travel & Accommodations for CPSA Metabolomics 2017. Make your hotel reservations at the Hilton University of Florida Conference Center. Reserve your room on-line or call the hotel directly (352-371-3600).

For more information, visit

13-17 Mar 2017

Hands-on LC-MS for Metabolic Phenotyping

Imperial College London, South Kensington, London, UK

This week long course aims to cover how to perform a metabolic profiling experiment, from start to finish. It covers study design, sample preparation, the use of mass spectrometry for global profiling and targeted methodologies and data analysis.

It combines lectures and tutorial sessions to ensure a thorough understanding of the theory and practical applications. Topics covered include:
  • Targeted and untargeted sample preparation
  • Targeted and untargeted data analysis
  • Statistics and OPLS
or contact Dr Liz Want ( for further information.

11-13 May 2017

Metabolism in Time and Space: Emerging Links to Cellular and Developmental Programs

EMBL Heidelberg, Germany

T. Alexandrov, A. Aulehla, P. Dorrestein, O. Leyser, S. McKnight, N. Perrimon

  • Registration - 30 Mar 2017
  • Abstract - 16 Feb 2017

Download Poster


  • Metabolism in time and space
  • Mechanistic insights - crosstalk metabolism/cellular functions
  • Metabolic control of development
  • Metabolism in growth control
  • Beyond the canonical roles of metabolism

Latest News

  • Registration is now open. Please visit the registration page for more information.
  • Got something to tweet? Say it #EESMetabolism

Stay up to date! Add this event easily to your calendar by downloading the iCal>>     Add to calendar

Why attend?
This symposium focuses on the role of metabolism in controlling cellular and developmental programs in its spatial and temporal complexity. There is a fundamental interest in deciphering the intricate link between metabolism and regulatory cellular programs during cell differentiation and the development of multicellular organisms. Recent technological progress has enabled us to analyse metabolism and metabolic activities with spatio-temporal resolution. This creates unprecedented potential to address how metabolic state impacts on cellular and developmental programs.

It is the overarching goal of this meeting to enable interdisciplinary discussion on the role of metabolism in controlling cellular and developmental programs in its spatial and temporal complexity. Special focus will be given to discuss emerging imaging or biosensor technologies and bioinformatics and how they can enable addressing fundamental biological questions.

For more information, visit

17-18 May 2017

Conference on Food and Nutritional Metabolomics for Health

Venue: The Ohio State University, Columbus, OH, USA

The purpose of this two-day event is to disseminate state-of-the-art knowledge in the field of food and nutritional metabolomics and foster networking and collaboration among colleagues and industry partners.

For more information please visit:

29 May to
2 June 2017

W4E2017 Course: Analyze your LCMS, GCMS and NMR data with Galaxy and the Workflow4Metabolomics e-infrastructure

Venue: Paris, France



The next Workflow4Experimenters international course (W4E2017) will take place in Paris (May 29 to June 2, 2017). During this one-week course (entirely in English), you will learn how to use Galaxy and the W4M infrastructure to analyze your own LC-MS, GC-MS, or NMR data set. Morning sessions will be dedicated to methodology and tools. Afternoon sessions will be devoted to tutoring.

Invited speakers: Tim Ebbels (Imperial College), Steffen Neumann (IPB Halle), and Ralf Weber (Birmingham University).


26-29 June 2017

Metabolomics 2017

Venue: Brisbane, Australia

It is our pleasure to invite you to the 13th International Conference of the Metabolomics Society from 25-29th June, 2017 at the Brisbane Conference and Exhibition Centre (BCEC) in Brisbane, Australia.

Brisbane is a vibrant, friendly, lifestyle city—home to leading medical research and a thriving industry hub, located in the heart of Australia’s premier tourist region. The BCEC is rated among the top three convention centres in the world, and was the venue of the 2014 G20 Leaders Summit. It is ideally located in the unique riverside cultural and lifestyle precinct at South Bank, which is an inner city oasis with riverfront parkland, rainforest pockets and Australia’s only city-based sand and swimming beach as well as Australia’s newest and largest Gallery of Modern Art, cafes, restaurants and stylish shops.

The conference has the theme of Building Bridges and under this banner extends its reach to the systems biology / genome-scale modelling community, as well as to the analytical chemistry / natural products chemistry community. In addition, the program features thematic streams for advancing the field, for food and environmental metabolomics, and for health and wellness. In addition, a deeper engagement between researchers within the Asia Pacific region is a natural focus for a conference held in Brisbane to promote metabolomics research, build and strengthen networks in the region.

We invite you to attend an exciting scientific program comprising 27 oral sessions, 5 plenaries, 4 poster sessions, sponsored luncheons, as well as several keynote lectures and workshops. We will continue the successful tradition of satellite workshops to the conference in the afternoon of Sunday 25th June and the morning of Monday 26th June. Additionally, we have planned a range of social activities, including a welcome reception, an early-career researcher mixer and a conference dinner in the iconic BCEC Plaza Ballroom to give you a true Aussie-style experience.

Brisbane is the ideal opportunity for delegates to enjoy a microcosm of Australia’s iconic experiences. World heritage listed rainforests, amazing beaches, islands, wineries and the internationally famous Australia Zoohome of the crocodile hunterare all easily accessible within an hour of the city. You can even do day trips to the Barrier Reef from Brisbane.

On behalf of the Local Organising Committee and the Metabolomics Society Board we are excited to once again invite you to Metabolomics 2017we are looking forward to welcoming you down under!

Prof. Melissa Fitzgerald, School of Agriculture and Food Sciences & Dr. Horst Joachim Schirra, Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia

For more information, visit

11-13 Dec 2017

MetaboMeeting 2017

Venue: University of Birmingham, UK

Make plans to attend the 10th successful MetaboMeeting conference. The meeting will bring together research scientists and practitioners from all areas of application and development of metabolic profiling, covering a wide range of experience from early career scientists to experts from throughout the international metabolomics field. MetaboMeeting 2017 continues to highlight the work of its attendees through both oral platform presentation and poster sessions.
The deadline for oral presentation abstracts is 15th July 2017.
The deadline for poster abstracts is 1st October 2017.

For further information, visit

Please note: If you know of any metabolomics lectures, meetings, workshops, or training sessions that we should feature in future issues of this newsletter, please email Ian Forsythe (
Metabolomics Jobs

Metabolomics Jobs

This is a resource for advertising positions in metabolomics. If you have a job you would like posted in this newsletter, please email Ian Forsythe ( Job postings will be carried for a maximum of four issues (eight weeks) unless the position is filled prior to that date.

Jobs Offered

Job Title Employer Location Posted Closes Source
Researcher Focusing on Metabolomics
Uppsala University Uppsala, Sweden 31-Jan-2017 20-Feb-2017
Uppsala University
Research Associate in Chemometrics
Imperial College London London, UK 24-Jan-2017 23-Feb-2017
Imperial College London
Research Fellow in Mass Spectrometry Metabolomics
University of Birmingham Birmingham, UK 23-Jan-2017 23-Feb-2017 University of Birmingham
Analytical Scientist for Mass Spectrometry Based Metabolomics/Lipidomics
Biocrates Life Sciences AG Innsbruck, Austria 18-Jan-2017
Biocrates Life Sciences AG
Postdoctoral Fellowship in Metabolomics
Lund University Diabetes Centre Malmö, Sweden 21-Dec-2016
Lund University Diabetes Centre

Jobs Wanted

This section is intended for very highly qualified individuals (e.g., lab managers, professors, directors, executives with extensive experience) who are seeking employment in metabolomics. We encourage these individuals to submit their position requests to Ian Forsythe ( Upon review, a limited number of job submissions will be selected for publication in the Jobs Wanted section.
  • There are currently no positions being advertised.

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