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Uncovering the dark matter of the metabolome | Empowering researchers to measure, connect, visualize, and understand the hidden chemical world within untargeted tandem mass spectrometry data | https://www.ometalabs.net/

Cool new paper alert! 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗻𝗴 𝗠𝗮𝘀𝘀𝗤𝗟 𝗮𝗻𝗱 𝗠𝗼𝗹𝗲𝗰𝘂𝗹𝗮𝗿 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝘁𝗼 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝘆 𝗕𝗶𝗼𝗮𝗰𝘁𝗶𝘃𝗲 𝗖𝗼𝗺𝗽𝗼𝘂𝗻𝗱𝘀 𝗶𝗻 𝙄𝙙𝙚𝙨𝙞𝙖 𝙥𝙤𝙡𝙮𝙘𝙖𝙧𝙥𝙖 𝗠𝗮𝘅𝗶𝗺 is a great example of how combining MassQL with molecular networking can cut through the noise and reveal bioactive compounds. Read more here: pubs.acs.org/doi/10.1021/....

Integrating MassQL and Molecular Networking to Identify Bioactive Compounds in Idesia polycarpa Maxim

Idesia polycarpa Maxim (Salicaceae) is a well-studied plant producing various hydroxycyclohexenone (HCH) ester derivatives, which constitute most of its secondary metabolites. However, these major metabolites have been reported as unrelated to the alpha-melanocyte stimulating hormone (α-MSH) induced microphthalmia-associated transcription factor (MITF) expression observed in B16F10 melanoma cells, suggesting they may not be responsible for the antimelanogenic effect previously seen with the crude extract. To resolve this discrepancy and identify the bioactive metabolites in the crude extracts, the chemical diversity of I. polycarpa was reanalyzed using Mass Spec Query Language (MassQL)-enhanced molecular networking analysis, which indicated the presence of molecular families of phenolic glycosides without HCH esters. Following the MassQL-guided strategy to uncover the compounds responsible for the bioactivity, a targeted isolation study yielded five previously undescribed compounds and three known compounds, consistent with the MassQL annotations. Notably, one of the isolated non-HCH ester compounds, compound 1, demonstrated significant inhibition of α-MSH-induced melanogenesis via tyrosinase inhibition and MITF downregulation. This finding provides a potential explanation for the previously observed antimelanogenic activity of the crude extract, addressing the inconsistency associated with the major metabolites.

pubs.acs.org

Cool paper alert! 𝗔𝗻 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗺𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝘆 𝗳𝗼𝗿 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴-𝗯𝗮𝘀𝗲𝗱 𝘁𝗮𝗻𝗱𝗲𝗺 𝗺𝗮𝘀𝘀 𝘀𝗽𝗲𝗰𝘁𝗿𝗮 𝘀𝗶𝗺𝗶𝗹𝗮𝗿𝗶𝘁𝘆 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 introduces a reproducible method for evaluating ML models that predict spectral similarity. Read more here: bmcbioinformatics.biomedcentral.com/articles/10.... Congrats to the authors!

Cool new paper alert! 𝘛𝘩𝘦 𝘮𝘪𝘤𝘳𝘰𝘣𝘪𝘰𝘮𝘦 𝘥𝘪𝘷𝘦𝘳𝘴𝘪𝘧𝘪𝘦𝘴 𝘭𝘰𝘯𝘨- 𝘵𝘰 𝘴𝘩𝘰𝘳𝘵-𝘤𝘩𝘢𝘪𝘯 𝘧𝘢𝘵𝘵𝘺 𝘢𝘤𝘪𝘥-𝘥𝘦𝘳𝘪𝘷𝘦𝘥 𝘕-𝘢𝘤𝘺𝘭 𝘭𝘪𝘱𝘪𝘥𝘴 uses MassQL to identify over 750 new 𝘕-acyl lipids. Read the full text here: www.cell.com/cell/fulltex... Congrats to all the authors!

The microbiome diversifies long- to short-chain fatty acid-derived N-acyl lipids

Mass spectrometry data mining tools enabled the creation of an MS/MS spectral library containing hundreds of N-acyl lipids, including conjugates with short-chain fatty acids. This resource enabled the...

cell.com

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Banner image with text Ometa Labs: the cutting edge features of GNPS, designed for industry.

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Comparison of GNPS/GNPS2 and Ometa Labs. Ometa Labs provides GNPS2 workflows to businesses.

Natural products have shaped modern medicine, but their discovery is still challeneging. Our newest application note highlights how Ometa Flow can accelerate natural products discovery by going from raw data to lead compounds in less than 15 minutes. Read more here: www.ometalabs.net/application-...

Accelerating Natural Products Research with Ometa Flow — Ometa Labs

Natural products and their derivatives make up the majority of FDA-approved small molecule drugs, yet natural products discovery still plays a small role in pharmaceutical R&D. Learn how Ometa Flo...

ometalabs.net

So exited to see this paper out! MassQL is game changing for compound identification (plus it's really fun to use!). You can read more about MassQL here: www.ometalabs.net/resources/ma.... Congrats to the authors!

MassQL — Ometa Labs

What is the Mass Spec Query Language and how can it help you analyze your mass spectrometry data?

ometalabs.net

Mingxun Wang@mingxunwang.bsky.social · last yr.

I am thrilled to share after years of work/procrastination that the MassQL manuscript is finally published in @natmethods.nature.com - "A universal language for finding mass spectrometry data patterns". This was an team effort from all co-authors that helped shape MassQL and how it could be used.

I am thrilled to share after years of work/procrastination that the MassQL manuscript is finally published in @natmethods.nature.com - "A universal language for finding mass spectrometry data patterns". This was an team effort from all co-authors that helped shape MassQL and how it could be used.

In small‑molecule mass spec, we often treat spectral differences caused by adducts or collision energies as nuisances. But this new study flips that script and demonstrates a powerful way to predict chemical modifications. Read more here: pubmed.ncbi.nlm.nih.gov/40202176/ Congrats to the authors!

Multispectrum ModiFinder Site Localization Performance - PubMed

Tandem mass spectrometry (MS/MS) is a powerful technique for structural identification of small molecules, yet a significant portion of MS/MS spectra from untargeted experiments remain unidentifiable ...

pubmed.ncbi.nlm.nih.gov

Great news! We're rolling out a new licensing tier designed for smaller teams. These licenses include all the tools and workflows Ometa has to offer, along with our best-in-class expert support. Learn more on our website: www.ometalabs.net.

Banner announcing new licensing tier that provides Ometa Flow for as low as $15K

Have a burning compound identification question? Drop by our office hours on Tuesdays from 12-1 pm Eastern to discuss with our team. Sign up here: www.ometalabs.net/contact Note: if you're an academic, check out the GNPS2 office hours here: wang-bioinformatics-lab.github.io/GNPS2_Docume...

Contact — Ometa Labs

Get in touch! Drop in for office hours or schedule a meet and greet to discuss your small molecule analysis needs with Ometa's expert team.

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Considering running small molecule analysis through a contract research organization (CRO)? While we're not a CRO, we've helped a lot of people analyze data from CROs. Check out our new blog post on what to consider when using a CRO for metabolomics. www.ometalabs.net/resources/me...

What to look for in metabolomics CROs — Ometa Labs

CROs are a great and cost-effective way to run metabolomics experiments, but not every CRO provides the same level of analysis. Learn what questions to ask when considering a metabolomics CRO.

ometalabs.net