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Stefan Mereiter

@smereiter.bsky.social

640 followers 210 following 20 posts

Glycobiologist & Cancer Researcher working at IMBA and MedUni Vienna, Austria. Exploring the structural-functional glycoproteome and cancer immunoregulation.

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Stefan Mereiter @smereiter.bsky.social · Nov 19

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Hi 🦋! Did you know? Glycans—complex sugar structures—decorate almost every protein processed by the ER/Golgi. These N-glycans coat our cells, playing critical roles in cell interactions and immune processes. 🍬 Curious about how they vary? Let’s dive in! #GlycoTime

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Stefan Mereiter @smereiter.bsky.social · May 21

🚨 PhD position open! 🚨
Join our team at the Medical University of Vienna to study glycan regulation in mammary organoids, milk, and breast cancer.
Details in the image – please share! 🧬✨

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Reposted by Stefan Mereiter

MedUni Wien @meduniwien.ac.at · May 21

Wir gratulieren @smereiter.bsky.social! 👏🔝

Der Postdoc-Researcher an der #MedUniWien & am ‪@imbavienna.bsky.social ‬erhält einen Förderungs-Grant des @fwf-at.bsky.social. Mehr dazu ⤵

Stefan Mereiter erhält Förderung des FWF für internationales Forschungsprojekt

Lesen Sie mehr über das Projekt!

www.meduniwien.ac.at

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Reposted by Stefan Mereiter

Anna Obenauf @obenaufa.bsky.social · Nov 27

1/23 Big news for the #ObenaufLab! So excited to finally share our new study providing another puzzle piece, why immunotherapy fails in many tumors, now out in @Nature 🧵👇 www.nature.com/articles/s41...

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Stefan Mereiter @smereiter.bsky.social · Nov 21

Feeling honored to work in a lab with two (!) of 2024’s most cited scientists: mentor Josef Penninger 🧠 and lab colleague Max Kellner 📚 (@clarivate). Max (spot him sitting behind me in yesterday’s lab meeting) is a PhD student 🤯

Stefan Mereiter @smereiter.bsky.social · Nov 20

please don't 🙏

Stefan Mereiter @smereiter.bsky.social · Nov 19

Hi Wouter. Could you please add me too 🙋🏽‍♂️

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Stefan Mereiter @smereiter.bsky.social · Nov 19

Thank you for organizing this starter pack! Would love to be added.

Stefan Mereiter @smereiter.bsky.social · Nov 19

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Great collaboration between BOKU University, IMBA, MedUni Vienna, and Michigan University! Thank you, J. Helm and the amazing Stadlmann Lab for taking me on this ride!! Together, we’re uncovering new insights into glycans. 🟦 🟡 🔺 🟢 🔶 🟨

Stefan Mereiter @smereiter.bsky.social · Nov 19

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In our paper, we showcase a scalable, LC-MS/MS data-driven method combining automated ID, non-targeted profiling, and isomer-sensitive glycan analysis. Dive into the details: doi.org/10.1038/s414...

Non-targeted N-glycome profiling reveals multiple layers of organ-specific diversity in mice - Nature Communications

N-glycosylation is vital for biological processes but difficult to analyse. Here, the authors introduce a scalable method to profile N-glycans across 20 mouse tissues, revealing tissue-specific glycos...

doi.org

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Stefan Mereiter @smereiter.bsky.social · Nov 19

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For those ready to dive deeper: We haven’t even started with the chromatography data! PGC allows us to differentiate N-glycans with the same mass but distinct structures, adding more layers of tissue-specific complexity.

Stefan Mereiter @smereiter.bsky.social · Nov 19

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But wait—there was more! After filtering non-glycan spectra and expected glycans, we found spectra representing unexpected glycan structures and mapped them across all tissues! 🔍

Stefan Mereiter @smereiter.bsky.social · Nov 19

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Next, we extended SNOG with eSNOG, extracting spectra with special fragment ions to compare glycan structural features like α-Gal, antennary Fuc, Neu5Ac, Neu5Gc, and oligo-Man across tissues.

Stefan Mereiter @smereiter.bsky.social · Nov 19

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With SNOG-filtered data, we saw clear, tissue-specific glycan clusters emerge, with high technical reproducibility across replicates. This filtering step was a game-changer!

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Stefan Mereiter @smereiter.bsky.social · Nov 19

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First up: SNOG-filtering. This automated step removes contaminants (up to 75% in some tissues!) so we can focus on genuine N-glycan signals.

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Stefan Mereiter @smereiter.bsky.social · Nov 19

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Our approach had to be scalable, non-targeted (no pre-built mass lists, please!), and data-driven. Automated spectral ID would be the icing on the cake! 🧁 We combined PGC analysis with multiple profiling strategies for semi/quantitative N-glycomics.

Stefan Mereiter @smereiter.bsky.social · Nov 19

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Faced with an overwhelming amount of LC-MS/MS data, we knew manual annotation was out of the question. Instead, we developed an “unconventional” approach to analyze our N-glycome data in a faster, smarter way. Here’s what we did:

Stefan Mereiter @smereiter.bsky.social · Nov 19

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So, we analyzed N-glycans from 20 mouse tissues, generating a comprehensive, structure-resolved N-glycome Atlas. Using PGC columns for isomer separation and an Orbitrap for high-res MS/MS, we assembled a mountain of data. Now what?

Stefan Mereiter @smereiter.bsky.social · Nov 19

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Have you ever wondered how many unique N-glycan structures a single organism might create? Or if the sugars on your kidney cells differ from those in your brain?
We did too, and we set out to investigate!

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Stefan Mereiter @smereiter.bsky.social · Nov 19

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Stefan Mereiter @smereiter.bsky.social · Nov 19

Great list & thanks for organizing! Would love to join.

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Stefan Mereiter @smereiter.bsky.social · Nov 19

Thank you for organizing! Would love to be added.

Stefan Mereiter @smereiter.bsky.social · Nov 18

Could you also add me? Thanks a lot!