NIH Common Fund Metabolomics Consortium Annual Meeting 2022

This final science meeting of the NIH Common Fund Metabolomics Consortium will provide an opportunity for sharing and celebrating the scientific accomplishments with Consortium members, with NIH staff beyond the Consortium, and more broadly with the scientific community interested in metabolomics. It will include a three-day virtual meeting that will be webcast live as well as recorded for later on-demand viewing.

The NIH Common Fund Metabolomics Stage II Program was initiated in 2018 to address the existing challenges in metabolite identification, overcome analysis and interpretation hurdles, transform the repository into a national resource, and promote best practices. The program funded seven projects (DTCs) for data analysis and interpretation tools that focused on developing computational methods for quantitation, statistical assessment, and subsequent biological interpretation, thereby streamlining metabolomics workflows that were historically been viewed as arduous steps. In addition, five compound identification development cores (CIDCs) were funded to develop harmonized experimental and computational approaches to enhance compound identification of the most significant, biomedically-relevant unknown metabolites. The program also established a Metabolomics Consortium Coordinating Center (M3C) to coordinate the activities of the Program and facilitate community outreach, plus a National Metabolomics Data Repository (NMDR) that holds a large number of metabolomics datasets and a wide array of metabolomics software and analytical tools for broad community use. More information on the Consortium at NIH Common Fund Stage 2 Metabolomics Consortium – Metabolomics Info

The meeting will include a welcome and brief overview, followed by presentations from the M3C, the NMDR, the 5 CIDCs and the 7 DTCs. It will also include a 90-minute roundtable discussion on day 2 addressing continued challenges in metabolomics moving forward, plus reports from Consortium collaborative projects and working groups, and thirty 5-minute “lightning talks” highlighting many of the scientific advances from Consortium centers.

Preview the Agenda for the Meeting

The Metabolomics Consortium Coordinating Center is organizing this meeting. Please send Inquiries to


Registration helps us organize attendee lists and conduct capacity planning for the Zoom meeting and virtual poster session. Please register at EventBrite:


Tuesday May 31, 2022
11:00 – 11:30 am
Welcome by CF leadership (James Anderson, NIH) Program Overview (Arthur Castle, NIH)
11:30 – 12:00 pmM3C – UF “Coordinating, Engaging and Promoting the Consortium” (Rick Yost and Mike Conlon)
12:00 – 12:30 pmDTC – Jackson Laboratory – “Mummichog 3, aligning mass spectrometry data to biological
networks” (Shuzhao Li)
12:30 – 12:45 pmLightning Talks A (5 minutes each including questions)
1. University of Georgia – Carter Asef
2. University of Michigan – Gayatri Iyer
3. Pacific Northwest National Lab – Siyang Tian
12:45 – 1:15 pm
Break – Social time in Gathertown

Session 2

Moderator – Mike Conlon, M3C
1:15– 1:45 pmCIDC – UC Davis – “Integrating, MS, MS/MS and retention time modeling in confident annotation of metabolites in the LC-BinBase database” (Oliver Fiehn)
1:45 – 2:00 pm
Lightning Talks B (5 minutes each including questions)
4. University of California, Davis – Shunyang Wang
5. National Metabolomics Data Repository – Mano Maurya
6. Vanderbilt University – Javier Gomez
2:00 – 2:30 pm
Working Group Reports (15 minutes each including questions)
QM Modeling (Art Edison)
Terminology in Metabolomics (Gary Patti)
2:30-2:45 pm
Lightning Talks C (5 minutes each including questions)
7. University of Colorado –Debmalya Nandy
8. University of Michigan – Brady Anderson
9. Jackson Lab/Scripps – Gary Siuzdak
2:45-3:00 pmBreak – Social time in Gathertown
3:00-3:30 pmDTC – UNCC – “ADAP-BIG: A cross-platform and graphical software tool for preprocessing metabolomics big data” (Xiuxia Du)
3:30 – 3:50 pm
Lightning Talks D (5 minutes each including questions)
10. Pacific Northwest National Lab – Fei Wang
11. Washington University (DTC)
12. National Metabolomics Data Repository – Sumana Srinivasan
13. Metabolomics Consortium Coordinating Center – Michael Conlon
3:50-4:20 pm
Working Group Reports (30 minutes including questions) Unknown Lipids and Unknown Polars (Charles Evans)
Wednesday June 1, 2022
Session 3
Moderator – Tim Garrett, M3C
11:00 – 12:30 pmRoundtable Discussion
Addressing Continued Challenges in Metabolomics Moving Forward
12:30 – 1:00 pm
DTC – Washington U – “Database-Assisted MS/MS Deconvolution for Metabolite Identification”
(Gary Patti)
1:00 – 1:15 pm
Lightning Talks E (5 minutes each including questions)
14. Jackson Lab/McGill University – Yao Lu
15. University of Michigan – Hana Habra
16. University of Colorado – Wladimir Labeikovsky
12:30 – 12:45 pmLightning Talks A (5 minutes each including questions)
1. University of Georgia – Carter Asef
2. University of Michigan – Gayatri Iyer
3. Pacific Northwest National Lab – Siyang Tian
1:15 – 1:45 pm
Break – Social time in Gathertown

Session 4

Moderator – David Balshaw, Krista Zanetti, NIH – Mike Conlon, M3C
1:45– 2:15 pmCIDC – Emory – “Development of biological criteria to enhance mass spectrometry-based metabolite identification(Dean Jones)
2:15 – 2:45 pmCollaborative Projects Reports (15 minutes each including questions)
The National Metabolomics Data Repository and integrated resources on the Metabolomics
Workbench (Shankar Subramaniam)
Common Datasets for Benchmarking (Corey Broeckling
2:45 – 3:15 pmDTC – MD Anderson – “MetaBatch Omic Browser update: a web resource for dynamic visualization, analysis, and correction of batch effects in MWB data” (John Weinstein)
3:15-3:30 pmBreak – Social time in Gathertown
3:30-3:45 pmLightning Talks F (5 minutes each including questions)
17. Jackson Lab – Amnah Siddiqa
18. University of Georgia – Amanda Shaver
19. University of Michigan – George Michailidis
3:45-4:00 pmCollaborative Project Report (15 minutes including questions)
ADAP-KDB: Tracking known and unknown mass spectral features in NMDR (Xiuxia Du)
4:00 – 4:30 pm
CIDC – PNNL – “Exploiting the ‘curse of dimensionality’ for metabolite identification” (Tom Metz)
Thursday June 2, 2022
Session 5
Moderator – Matt Merritt, M3C
11:00 – 11:30 amNMDR – UCSD “Metabolomics Tools and Resources for the Research Community” (Shankar
11:30 – 11:45 am
Lightning Talks G (5 minutes each including questions)
20. Washington University (DTC)
21. University of North Carolina, Charlotte – Aleksandr Smirnov
22. Pacific Northwest National Lab – Jessica Bade
11:45 – 12:15 pm
DTC – Michigan – “Applications of data-driven network analysis for metabolomics and gene expression” (Alla Karnovsky)
12:315– 12:30 pm
Lightning Talks H (5 minutes each including questions)
23. Vanderbilt University/Danforth Center – Shrikaar Kambhampati
24. Jackson Lab – Maheshwor Thapa
25. Emory University – Grant Singer
12:30 – 1:00 pm
DTC – Vanderbilt – “Tools for Leveraging High-Resolution MS Detection of Stable Isotopes for Metabolomics Applications” (Jamey Young)me in Gathertown

1:00-1:30 pm

Break – Social time in Gathertown
Session 6Moderator – Art Castle, NIH
1:30 – 2:00 pm
CIDC – Michigan – “Chromatographic strategies to enhance compound identification, and software tools to line up IDs, assess confidence, and keep track of it all” (Charles Evans)
2:00 – 2:15 pm
Lightning Talks I (5 minutes each including questions)
26. Pacific Northwest National Lab – Christine Chang
27. Jackson Lab/McGill University – Zhiqiang Pang
28. University of North Carolina, Charlotte – Ciara Conway
2:15-2:45 pm
DTC – Colorado/Denver – “Addressing Sparsity in Metabolomics Data Analysis” (Katerina Kechris)
3:00-3:15 pm
Lightning Talks J (5 minutes each including questions)
29. Jackson Lab – Minghao Gong
30. University of California, Davis – Tobias Kind
31. MD Anderson (DTC) – John Weinstein
3:15-3:45 pm
CIDC – Georgia – “Integrating LC-MS and NMR for Compound ID using Computational Chemistry and a Genetics-focused Study Design” (Art Edison)
3:45 – 4:00 pm
Closing Remarks – M3C (Rick Yost and Mike Conlon)