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Yasin El Abiead

@yelabiead.bsky.social
131 followers 133 following 32 posts

Interested in metabolomics, metabolism, and how to get from the former to the latter

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Reposted by Yasin El Abiead
CeMM @cemm.oeaw.ac.at · 06/07/2026
🔬 Great Impromptu Seminar with @yelabiead.bsky.social (@bokuvienna.bsky.social), where he shared how large-scale public #metabolomics data can uncover new molecules & biological patterns. Thank you, Yasin, & hosts Adjunct PI Clarissa Campbell & Miriam Abele (MDP)!👏
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Yasin El Abiead @yelabiead.bsky.social · 16/04/2026
Where has this molecule been detected before across samples, organisms, body parts, and environments? With StructureMASST, you can explore this directly by entering a molecule name and running a search in your browser. 🔗 structure-masst.gnps2.org 📄 www.nature.com/articles/s41...
structure-masst.gnps2.org
Streamlit
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Johannes Rainer @jorainer.bsky.social · 09/12/2025
Great work from @philouail.bsky.social 🙌 #xcms now fully integrated into @bioconductor.bsky.social 💪 👉 #metabolomics #MassSpectrometry #rstats
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Pieter Dorrestein @pieterdorrestein.bsky.social · 07/12/2025
This is an important paper to read for people that are trying to understand metabolomics data. Ions detected (features) are not molecules and molecules will generate many ion forms. Be aware of MS ion forms - understand and leverage them. Dark metabolome has a lot of discovery potential.
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Yasin El Abiead @yelabiead.bsky.social · 03/12/2025
The existence of unintentional fragmentation (often referred to as in-source fragments) in untargeted #metabolomics data can cause uncertainty among newcomers to the field and skepticism among data consumers such as medical experts or biologists. pubs.acs.org/doi/10.1021/...
pubs.acs.org
A Perspective on Unintentional Fragments and Their Impact on the Dark Metabolome, Untargeted Profiling, Molecular Networking, Public Data, and Repository Scale Analysis
In/postsource fragments (ISFs) arise during electrospray ionization or ion transfer in mass spectrometry when molecular bonds break, generating ions that can complicate data interpretation. Although ISFs have been recognized for decades, their contribution to untargeted metabolomics─particularly in the context of the so-called “dark matter” (unannotated MS or MS/MS spectra) and the “dark metabolome” (unannotated molecules)─remains unsettled. This ongoing debate reflects a central tension: while some caution against overinterpreting unidentified signals lacking biological evidence, others argue that dismissing them too quickly risks overlooking genuine molecular discoveries. These discussions also raise a deeper question: what exactly should be considered part of the metabolome? As metabolomics advances toward large-scale data mining and high-throughput computational analysis, resolving these conceptual and methodological ambiguities has become essential. In this perspective, we propose a refined definition of the “dark metabolome” and present a systematic overview of ISFs and related ion forms, including adducts and multimers. We examine their impact on metabolite annotation, experimental design, statistical analysis, computational workflows, and repository-scale data mining. Finally, we provide practical recommendations─including a set of dos and do nots for researchers and reviewers─and discuss the broader implications of ISFs for how the field explores unknown molecular space. By embracing a more nuanced understanding of ISFs, metabolomics can achieve greater rigor, reduce misinterpretation, and unlock new opportunities for discovery.
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Pieter Dorrestein @pieterdorrestein.bsky.social · 26/08/2025
Yes reach out to Yasin for this project. It will allow a worldwide picture of the environmental metabolome. This can be already published or not yet published data but will need world coordinates.
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Yasin El Abiead @yelabiead.bsky.social · 26/08/2025
Interested in a co-authorship? We’re building a tool for repository-scale untargeted #metabolomics and #exposomics of #environmental data. To make it the best it can be, we’re looking for people willing to share high-resolution LC-MS/MS (DDA) data from #water, #soil, #sediment, and related samples.
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BioMassSpec @realbiomassspec.bsky.social · 25/08/2025
Increasing the Scale of the Mass Spectrometry Query Language Compendium with Explainable AI #AC pubs.acs.org/doi/10.1021/...
pubs.acs.org
Increasing the Scale of the Mass Spectrometry Query Language Compendium with Explainable AI
A significant bottleneck in metabolomics data interpretation is the effective use of domain knowledge to assign structural information based on fragmentation patterns. The mass spectrometry query lang...
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Yasin El Abiead @yelabiead.bsky.social · 23/08/2025
If you’ve been following #metabolomics literature, you’ve probably seen a lot of debate on in-source fragmentation. We’ve put together a manuscript to clarify what it is, how to deal with it, and what it means for discovery in #metabolomics and #exposomics. doi.org/10.26434/che...
doi.org
A Perspective on Unintentional Fragments and their Impact on the Dark Metabolome, Untargeted Profiling, Molecular Networking, Public Data, and Repository Scale Analysis.
In/post-source fragments (ISFs) arise during electrospray ionization or ion transfer in mass spectrometry when molecular bonds break, generating ions that can complicate data interpretation. Although ISFs have been recognized for decades, their contribution to untargeted metabolomics - particularly in the context of the so-called “dark matter” (unannotated MS or MS/MS spectra) and the “dark metabolome” (unannotated molecules) - remains unsettled. This ongoing debate reflects a central tension: while some caution against overinterpreting unidentified signals lacking biological evidence, others argue that dismissing them too quickly risks overlooking genuine molecular discoveries. These discussions also raise a deeper question: what exactly should be considered part of the metabolome? As metabolomics advances toward large-scale data mining and high-throughput computational analysis, resolving these conceptual and methodological ambiguities has become essential. In this perspective, we propose a refined definition of the “dark metabolome” and present a systematic overview of ISFs and related ion forms, including adducts and multimers. We examine their impact on metabolite annotation, experimental design, statistical analysis, computational workflows, and repository-scale data mining. Finally, we provide practical recommendations - including a set of dos and don’ts for researchers and reviewers - and discuss the broader implications of ISFs for how the field explores unknown molecular space. By embracing a more nuanced understanding of ISFs, metabolomics can achieve greater rigor, reduce misinterpretation, and unlock new opportunities for discovery.
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Reposted by Yasin El Abiead
Tri Kaloudis @trikaloudis.bsky.social · 20/08/2025
Brilliant! 50 years after reverse spectral matching in GC-MS, a refined reverse search strategy to improve annotation rates. By @shipei-xing.bsky.social @vincentlamoureux.bsky.social Haoqi N. Zhao @yelabiead.bsky.social @mingxunwang.bsky.social @pieterdorrestein.bsky.social doi.org/10.1021/acs....
doi.org
Reverse Spectral Search Reimagined: A Simple but Overlooked Solution for Chimeric Spectral Annotation
The exponential growth of untargeted metabolomics data, now reaching billions of mass spectra in public repositories, benefits from reannotation strategies for data reuse. While tandem mass spectromet...
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Reposted by Yasin El Abiead
unitsaq.bsky.social @unitsaq.bsky.social · 14/08/2025
Nice work, demonstrating determination of omega positions in lipid acyls using only RT prediction! www.nature.com/articles/s41...
nature.com
Computationally unmasking each fatty acyl C=C position in complex lipids by routine LC-MS/MS lipidomics - Nature Communications
Physiologically relevant omega-positions of double bonds in fatty acyls in complex lipids can now only be identified with specialized instrumentation. Here, the authors present a computational approac...
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Reposted by Yasin El Abiead
Harsha Gouda @harshagouda.bsky.social · 08/08/2025
The interactions between food, microbiome and host that modulate health can be complex. Here, we offer a perspective on how mass spectrometry can be leveraged to address some of these challenges to understand host and microbial metabolism of food. A step closer to personalized health and nutrition.
sciencedirect.com
The mass spectrometry of microbiome-mediated metabolism of food: challenges and opportunities
With the exception of molecules acquired through the lungs, skin absorption, or part of a medication regime, nearly all molecules in our bodies origin…
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Mingxun Wang @mingxunwang.bsky.social · 02/08/2025
GNPS2 and associated services will be down for power maintenance tonight and into tomorrow.
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PLOS Biology @plosbiology.org · 31/07/2025
Elucidating #plant #Biosynthetic pathways: @jjjvanderhooft.bsky.social @marnixmedema.bsky.social &co develop #MEANtools, an unsupervised computational workflow that integrates #MultiOmics data to predict #metabolic pathways by linking transcripts to metabolites @plosbiology.org 🧪 plos.io/4odL94g
Detection of functional clusters (FCs) specific to the phenylalanine (PAL) and p-coumaroyltyramine (THT) pathways. Top left: Network depicting the relationship between transcripts and mass signatures within the PAL FC. Bottom left: Network illustrating the interplay between transcripts and mass signatures within the THT FC. Top right: Heatmap illustrating the expression levels of all transcripts within the PAL and THT FCs. Upper middle right: Heatmap displaying the abundance of all mass signatures present in the PAL and THT FCs. Lower middle right: Correlation matrix highlighting the correlations among transcripts and mass signatures within the PAL FC. Bottom right: Correlation matrix displaying the relationships between transcripts and mass signatures within the THT FC, including Mutual rank and transformed edge weights.
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Reposted by Yasin El Abiead
Böckerlab @boeckerlab.bsky.social · 28/07/2025
Excellent news: 𝐒𝐞𝐛𝐚𝐬𝐭𝐢𝐚𝐧 𝐰𝐢𝐥𝐥 𝐫𝐞𝐜𝐞𝐢𝐯𝐞 𝐚𝐧 #𝐄𝐑𝐂 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐆𝐫𝐚𝐧𝐭! 𝐁𝐢𝐧𝐝𝐢𝐧𝐠𝐒𝐡𝐚𝐝𝐨𝐰𝐬 will develop ML models to predict whether some query molecule has a particular bioactivity or is binding to a certain protein, where the only information we have about the query molecule is its tandem mass spectrum.
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Daniel Petras @daniel-petras.bsky.social · 27/07/2025
New paper from the group. Together with Chambers Hughes, Giovanni Vitale and our amazing collaborators, we developed a multiplexed chemical metabolomics workflow to assign functional groups in non-targeted LC-MS/MS data: www.nature.com/articles/s41... Behind the paper story: go.nature.com/45ljV4d
nature.com
Enhancing tandem mass spectrometry-based metabolite annotation with online chemical labeling - Nature Communications
To improve annotation in non-targeted metabolomics studies, authors develop a Multiplexed Chemical Metabolomics (MCheM) platform, combining post-column derivatization with integrated data processing. ...
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Steffen Neumann @sneumann.bsky.social · 16/07/2025
🚀 We’ve launched the new MassBank! Now live at massbank.eu & massbank.jp — redesigned with a faster backend, better search, and powerful tools for exploring & sharing mass spectral data. Enjoy the fresh experience! Feedback and ideas welcome, please post them on github.com/MassBank/Mas...
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Reposted by Yasin El Abiead
BioMassSpec @realbiomassspec.bsky.social · 13/07/2025
An evaluation methodology for machine learning-based tandem mass spectra similarity prediction #BMCBioinformatics bmcbioinformatics.biomedcentral.com/articles/10....
bmcbioinformatics.biomedcentral.com
An evaluation methodology for machine learning-based tandem mass spectra similarity prediction - BMC Bioinformatics
Background Untargeted tandem mass spectrometry serves as a scalable solution for the organization of small molecules. One of the most prevalent techniques for analyzing the acquired tandem mass spectr...
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Yasin El Abiead @yelabiead.bsky.social · 09/07/2025
We just crossed the 800,000 files mark in Pan-ReDU. That's 800,000 public #metabolomics raw data files with harmonized metadata that can be re-analyzed to learn about new molecules and bio-distributions. 🎉 redu.gnps2.org
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Egon Willigh☮gen 🟥 @egonw.mastodon.social.ap.brid.gy · 27/06/2025
what is a good European and/or Open alternative to Feedly? I like something that works well on a phone as well as the web Ideally, with CMLRSS support :)
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Johannes Rainer @jorainer.bsky.social · 26/06/2025
Combining #rstats and #Python for #MassSpectrometry data analysis is the way to go! github.com/rformassspec... supports (for now) #matchms and #spectrum_utils #Python libraries
github.com
GitHub - rformassspectrometry/SpectriPy: Interfacing R's Spectra package with the Python world.
Interfacing R's Spectra package with the Python world. - rformassspectrometry/SpectriPy
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MetaboLights @metabolights.bsky.social · 19/06/2025
@metabolights.bsky.social will be in #Metabolomics2025 in Prague! Visit Posters 3007 C, 3006 C and 3000 C, say hi 👋 & discuss: 💻The most recent MetaboLights developments 🌐 Metabolomics Hub – a global open data consortium 🔗#ELIXIR Implementation Study on ontologies & semantic interoperability
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Pieter Dorrestein @pieterdorrestein.bsky.social · 12/06/2025
If you have ever wondered what might happen to short chain fatty acids made by the microbiome. Here is a large class of metabolites and how they link to biology. www.cell.com/cell/fulltex...
cell.com
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...
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Yasin El Abiead @yelabiead.bsky.social · 04/06/2025
Poster session at #ASMS2025 was as busy as always. Was great to see people agreeing that much remains to be discovered in untargeted #metabolomics. Thank you to all coauthors of the poster and associated paper. www.nature.com/articles/s42...
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Pieter Dorrestein @pieterdorrestein.bsky.social · 30/05/2025
It’s so nice that an important paper led by yasin - is out. www.nature.com/articles/s41.... This paper is a key milestone as it is the foundation for data science across data repositories through indexing and metadata harmonization of 1.6 million files (although much more now due to updates). 1/n
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Tomáš Pluskal @pluskal-lab.org · 24/05/2025
This paper represents a great effort by @roman-bushuiev.bsky.social and his brother @anton-bushuiev.bsky.social. The DreaMS foundation model for mass spectra of small molecules now opens lots of avenues for possible downstream applications. It might be a game changer for computational metabolomics.
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Simone Zuffa @simonezuffa.bsky.social · 16/05/2025
The last of my PhD projects is finally out! This was a great collaboration with Danone, looking at supplementing infant formula with a novel milk fat globule. #infant #microbiome #nutrition microbiomejournal.biomedcentral.com/articles/10....
microbiomejournal.biomedcentral.com
Milk phospholipid-coated lipid droplets modulate the infant gut microbiota and metabolome influencing weight gain - Microbiome
Background The supramolecular structure and composition of milk fat globules in breast milk is complex. Lipid droplets in formula milk are typically smaller compared to human milk and differ in their ...
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Nature Methods @natmethods.nature.com · 13/05/2025
The Mass Spectrometry Query Language (MassQL) is an open-source language for instrument-independent searching across mass spectrometry data for complex patterns of interest via concise and expressive queries without the need for programming skills. www.nature.com/articles/s41...
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Nature Reviews Gastroenterology & Hepatology @natrevgastrohep.nature.com · 06/05/2025
Seen at #DDW2025, this Perspective by @pieterdorrestein.bsky.social & co on the changing metabolic landscape of bile acids www.nature.com/articles/s41... 🔓 link: rdcu.be/ekTBV #Gastrosky #microsky #microbiome
nature.com
The changing metabolic landscape of bile acids – keys to metabolism and immune regulation - Nature Reviews Gastroenterology & Hepatology
Bile acids have important roles in human metabolism and immune regulation. In this Perspective, Dorrestein and colleagues discuss the technologies and data science-related approaches that are improvin...
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Simone Zuffa @simonezuffa.bsky.social · 06/05/2025
I am excited to share the latest project I have been working on "A Multi-Organ Murine Metabolomics Atlas Reveals Molecular Dysregulations in Alzheimer’s Disease". 1/n www.biorxiv.org/content/10.1...
biorxiv.org
A Multi-Organ Murine Metabolomics Atlas Reveals Molecular Dysregulations in Alzheimer’s Disease
The etiology of Alzheimer’s Disease (AD) remains largely unclear but is likely driven by gene-environment interactions. Here, we present a multi-organ untargeted metabolomics dataset (2,271 samples) g...
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Ass. Prof. Evelyn Rampler @evelynrampler.bsky.social · 30/04/2025
Please apply for this open position for a senior scientist at our faculty. It is the head of the mass spec center and you will be my close colleague! Application Deadline:8.5.2025 jobs.univie.ac.at/job/Senior-S...
jobs.univie.ac.at
Senior Scientist
Senior Scientist
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Mehdi Beniddir @mehdibeni.bsky.social · 28/04/2025
It is with tremendous emotion that I share with you our recent work @jcheminf.bsky.social rb.gy/gynwlf that resulted in the update of the MIADB and the generation of valuable spectrometric signatures that could be used as #MassQL queries 🙏 S. Szwarc @univparissaclay.bsky.social @adafede.bsky.social
rb.gy
Translating community-wide spectral library into actionable chemical knowledge: a proof of concept with monoterpene indole alkaloids - Journal of Cheminformatics
With over 3000 representatives, the monoterpene indole alkaloids (MIAs) class is among the most diverse families of plant natural products. The MS/MS spectral space exploration of these complex compou...
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Kozo Nishida | 西田孝三 @kozo2.bsky.social · 28/04/2025
github.com/rformassspec...
github.com
GitHub - rformassspectrometry/SpectriPy: Interfacing R's Spectra package with the Python world.
Interfacing R's Spectra package with the Python world. - rformassspectrometry/SpectriPy
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Yasin El Abiead @yelabiead.bsky.social · 16/04/2025
@wishartnode.bsky.social I was wondering if there's a way to get a local version of Classyfire to bypass rate limits? Thank you!
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BioMassSpec @realbiomassspec.bsky.social · 09/04/2025
Multispectrum ModiFinder Site Localization Performance #JASMS pubs.acs.org/doi/10.1021/...
pubs.acs.org
Multispectrum ModiFinder Site Localization Performance
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 through spectrum library matching. ModiFinder, a computational tool, tackles this issue by predicting the site of chemical modifications on known analogs of the unidentified compounds using MS/MS data. However, ModiFinder’s performance is limited by insufficient peak data and fragmentation annotation ambiguities. In this study, we investigate how incorporating MS/MS spectra from multiple collision energies and mass spectrometry adducts can enhance ModiFinder’s localization accuracy. Using a data set from Agilent Technologies comprising 2150 data-rich compounds (five times larger than previously available data sets), we evaluated the impact of complementary spectral information. Our results show that combining spectra from different adducts and collision energies expands ModiFinder’s localization abilities to more compounds and improves the overall performance.
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IOCB Prague @iocbprague.bsky.social · 08/04/2025
#mzmine Rapid MALDI-MS/MS-Based Profiling of Lipid A Species from Gram-Negative Bacteria Utilizing Trapped Ion Mobility Spectrometry and mzmine (Rudt, Froning, @robinschmid.bsky.social, @pluskal-lab.org)–AC: doi.org/10.1021/acs.... @iocbprague.bsky.social @mzmine.bsky.social @uni-muenster.de
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kmechtler.bsky.social @kmechtler.bsky.social · 08/04/2025
A few years ago I reported on the cleaning cycles of a Thermo instrument (Q-Exactive HF-X). This is particularly important in core facilities where high throughput and consistent quality are required. Now I would like to report briefly on the OrbiTrap Astral: Installation was done 1 year ago!
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Functional Metabolomics Lab @func-metabo-lab.bsky.social · 04/04/2025
New reprint from the team: Lead by @nike-wagner.bsky.social, we used our native metabolomics setup to shed new light onto the function of the CutA protein. www.biorxiv.org/content/10.1...
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Justin J.J. van der Hooft @jjjvanderhooft.bsky.social · 28/03/2025
Thanks to all #NPLinker #eScience #Workshop 2025 participants for coming to #Wageningen this week to learn about and gaining hands-on experience with paired omics mining based! 😎 @marnixmedema.bsky.social and I wish everyone a safe trip home! #GNPS2 #BiGSCAPE2 @esciencecenter.bsky.social
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BioMassSpec @realbiomassspec.bsky.social · 13/03/2025
A Comprehensive Review of Instrumentation and Applications in Post-Column and In-Source Derivatization for LC-MS #MassSpectromRev analyticalsciencejournals.onlinelibrary.wiley.com/doi/full/10....
analyticalsciencejournals.onlinelibrary.wiley.com
A Comprehensive Review of Instrumentation and Applications in Post‐Column and In‐Source Derivatization for LC‐MS
Liquid chromatography-mass spectrometry (LC-MS) has become an indispensable tool for elucidating molecular structures and quantifying diverse compounds within complex mixtures. Despite its versatilit...
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Luiz Pedro Carvalho, PhD @luizcarvalholab.bsky.social · 07/03/2025
"There are more real metabolites in mass spectrometry metabolomics, Horatio, than are dreamt of in your philosophy of in-source fragmentation artifacts." Nice article from @pieterdorrestein.bsky.social and cols. www.nature.com/articles/s42...
nature.com
Discovery of metabolites prevails amid in-source fragmentation - Nature Metabolism
Nature Metabolism - Discovery of metabolites prevails amid in-source fragmentation
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Andrew White 🐦‍⬛ @andrew.diffuse.one · 08/03/2025
It's ridiculous, but there hasn't existed a one-liner to quickly get functional groups of a molecule. Little Friday night coding exercise to get this working. Enjoy - and let me know of any missing functional groups! I could only do a few hundred.
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Nature Metabolism @natmetabolism.nature.com · 07/03/2025
bit.ly
Discovery of metabolites prevails amid in-source fragmentation
Nature Metabolism, Published online: 28 February 2025; doi:10.1038/s42255-025-01239-4Discovery of metabolites prevails amid in-source fragmentation
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Nature Protocols @natprot.nature.com · 04/03/2025
#FeaturedProtocol this week is a #reversemetabolomics protocol, in which a tandem #massspec spectrum is used as a search term to probe public #metabolomic data, enabling discovery of new metabolic associations bit.ly/4hdyQQF
bit.ly
A guide to reverse metabolomics—a framework for big data discovery strategy - Nature Protocols
In this reverse metabolomics protocol, a tandem mass spectrometry spectrum is used as a search term to probe public metabolomic data. Analysis of the metadata connected with these search results enabl...
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Mingxun Wang @mingxunwang.bsky.social · 05/03/2025
I am excited to share this new paper out in JPR - "MS-RT: A Method for Evaluating MS/MS Clustering Performance for Metabolomics Data." This work introduces the MS-RT method to assess MS/MS clustering accuracy on metabolomics data. doi.org/10.1021/acs....
doi.org
MS-RT: A Method for Evaluating MS/MS Clustering Performance for Metabolomics Data
The clustering of tandem mass spectra (MS/MS) is a crucial computational step to deduplicate repeated acquisitions in data-dependent experiments. This technique is essential in untargeted metabolomics, particularly with high-throughput mass spectrometers capable of generating hundreds of MS/MS spectra per second. Despite advancements in MS/MS clustering algorithms in proteomics, their performance in metabolomics has not been extensively evaluated due to the lack of database search tools with false discovery rate control for molecule identification. To bridge this gap, this study introduces the MS1-retention time (MS-RT) method to assess MS/MS clustering performance in metabolomics data sets. Here, we validate MS-RT by comparing MS-RT to established proteomics clustering evaluation approaches that utilize database search identifications. Additionally, we evaluate the performance of several MS/MS clustering tools on metabolomics data sets, highlighting their advantages and drawbacks. This MS-RT method and the MS/MS clustering tool benchmarking will provide valuable real world practical recommendations for tools and set the stage for future advancements in metabolomics MS/MS clustering.
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GNPS2 Platform @gnps2.bsky.social · 05/03/2025
GNPS2 is planning on being down for server maintenance tomorrow at 12PM PST. We expect 5 hours of downtime to move servers, bring online new storage, and increase networking performance.
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Simone Zuffa @simonezuffa.bsky.social · 03/03/2025
Human Untargeted Metabolomics in High-Throughput Gut Microbiome Research: Ethanol vs Methanol | Analytical Chemistry pubs.acs.org/doi/10.1021/...
pubs.acs.org
Human Untargeted Metabolomics in High-Throughput Gut Microbiome Research: Ethanol vs Methanol
Untargeted metabolomics is frequently performed on human fecal samples in conjunction with sequencing to unravel the gut microbiome functionality. As sample collection efforts are rapidly expanding, with individuals often collecting specimens at home, metabolomics experiments should adapt to accommodate the safety and needs of bulk off-site collections and improve high throughput. Here, we show that a 95% ethanol, safe to be shipped and handled, extraction part of the Matrix Method pipeline recovers comparable amounts of metabolites as a validated 50% methanol extraction, preserving metabolic profile differences between investigated subjects. Additionally, we show that the fecal metabolome remains relatively stable when stored in 95% ethanol for up to 1 week at room temperature. Finally, we suggest a metabolomics data analysis workflow based on robust centered log ratio transformation, which removes the variance introduced by possible different sample weights and concentrations, allowing for reliable and integration-ready untargeted metabolomics experiments in gut microbiome research.
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Pieter Dorrestein @pieterdorrestein.bsky.social · 03/03/2025
A study using an n=1 experiment with single standards at 0V CID reported that 70% of detected ions were in-source fragments (ISFs). www.nature.com/articles/s42... This finding was extrapolated to suggest that ISFs affect all metabolomics experiments to this degree. A counterpoint. rdcu.be/ebFwc 1/n
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Yasin El Abiead @yelabiead.bsky.social · 03/03/2025
Excited to share our correspondence in @naturemetabolism.bsky.social, where we address claims that the “dark metabolome” is merely an in‐source fragmentation artifact. www.nature.com/articles/s42... #Metabolomics #TeamMassSpec
nature.com
Discovery of metabolites prevails amid in-source fragmentation - Nature Metabolism
Nature Metabolism - Discovery of metabolites prevails amid in-source fragmentation
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Elisabeth (Lilli) Janssen @elisabethjanssen.bsky.social · 24/12/2024
#CyanoMetDB Version 03 (2024) contains structural codes of 3085 #toxins and #metabolites from #cyanobacteria published with an amazing team of international experts - check out the list of co-authors! Download dataset zenodo.org/records/1385 and get Dec-24 newsletter bit.ly/49ZQfdW Have fun!
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