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Stefan Mereiter

@smereiter.bsky.social

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

635 Followers  |  209 Following  |  20 Posts  |  Joined: 18.11.2024  |  1.7356

Latest posts by smereiter.bsky.social on Bluesky

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🚨 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! 🧬✨

21.05.2025 13:16 β€” πŸ‘ 2    πŸ” 1    πŸ’¬ 0    πŸ“Œ 1
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Stefan Mereiter erhΓ€lt FΓΆrderung des FWF fΓΌr internationales Forschungsprojekt Lesen Sie mehr ΓΌber das Projekt!

Wir gratulieren @smereiter.bsky.social! πŸ‘πŸ”

Der Postdoc-Researcher an der #MedUniWien & am β€ͺ@imbavienna.bsky.social ‬erhΓ€lt einen FΓΆrderungs-Grant des @fwf-at.bsky.social. Mehr dazu ‡

21.05.2025 11:37 β€” πŸ‘ 6    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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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 πŸ§΅πŸ‘‡ www.nature.com/articles/s41...

27.11.2024 17:58 β€” πŸ‘ 561    πŸ” 142    πŸ’¬ 47    πŸ“Œ 36
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Feeling honored to work in a lab with two (!) of 2024’s most cited scientists: mentor Josef Penninger 🧠 and lab colleague Max Kellner πŸ“š (@clarivate). Max (spot him sitting behind me in yesterday’s lab meeting) is a PhD student 🀯

21.11.2024 09:46 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

please don't πŸ™

20.11.2024 09:45 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Hi Wouter. Could you please add me too πŸ™‹πŸ½β€β™‚οΈ

19.11.2024 18:20 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

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

19.11.2024 14:26 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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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. 🟦 🟑 πŸ”Ί 🟒 πŸ”Ά 🟨

19.11.2024 09:50 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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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...

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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...

19.11.2024 09:50 β€” πŸ‘ 2    πŸ” 1    πŸ’¬ 2    πŸ“Œ 0
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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.

19.11.2024 09:50 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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But waitβ€”there was more! After filtering non-glycan spectra and expected glycans, we found spectra representing unexpected glycan structures and mapped them across all tissues! πŸ”

19.11.2024 09:50 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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Next, we extended SNOG with eSNOG, extracting spectra with special fragment ions to compare glycan structural features like Ξ±-Gal, antennary Fuc, Neu5Ac, Neu5Gc, and oligo-Man across tissues.

19.11.2024 09:50 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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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!

19.11.2024 09:50 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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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.

19.11.2024 09:50 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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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.

19.11.2024 09:50 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

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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 β€œunconventional” approach to analyze our N-glycome data in a faster, smarter way. Here’s what we did:

19.11.2024 09:50 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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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?

19.11.2024 09:50 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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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!

19.11.2024 09:50 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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Hi πŸ¦‹! Did you know? Glycansβ€”complex sugar structuresβ€”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

19.11.2024 09:50 β€” πŸ‘ 37    πŸ” 9    πŸ’¬ 3    πŸ“Œ 1

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

19.11.2024 06:49 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Thank you for organizing! Would love to be added.

19.11.2024 06:45 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Could you also add me? Thanks a lot!

18.11.2024 14:43 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

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