Savitski Lab
@savitski-lab.bsky.social
310 followers 80 following 17 posts
We are the Savitski lab located @ EMBL using and developing proteomics methods for assessing the state of the proteome
Posts Media Videos Starter Packs
Pinned
savitski-lab.bsky.social
We are very happy to present our work on N-glycoproteomics!🍬 Our method enables the selective enrichment and precise quantification of intact N-glycopeptides to explore the dynamics of glycosylation microheterogeneity.
www.nature.com/articles/s41...
savitski-lab.bsky.social
So grateful and honored to receive the MCP Lectureship Award at the #ASBMBProteomics meeting at the Broad Institute! Huge thanks to the wonderful organizers and to everyone—past and present—who’s been part of our lab.
Reposted by Savitski Lab
saezlab.bsky.social
The final version of our multi-omics study on kidney fibrosis is out now (tinyurl.com/kidneyfibMSB). Together w/ Pepperkok + Savitski labs @embl.org, we present a time-resolved #multiomics + computational network modeling approach in combination w/ phenotypic assays to study #kidneyfibrosis
Reposted by Savitski Lab
molsystbiol.org
integrated temporally resolved transcriptomic, proteomic, and secretomic profiling of human kidney mesenchymal cells from @savitski-lab.bsky.social @saezlab.bsky.social @miraburtscher.bsky.social identify dynamic changes upon TGF-beta stimulation ➡️ www.embopress.org/doi/full/10....
Reposted by Savitski Lab
savitski-lab.bsky.social
Thank you for this great perspective on our #glycoproteomics study @timveth.bsky.social and @nmriley.bsky.social!
cp-trendsbiochem.bsky.social
Online now - the Spotlight "Accelerating the stride toward functional #glycoproteomics" from @timveth.bsky.social and @nmriley.bsky.social.

#Glycoproteins #Glycoforms #Glycoprofiling #DQGlyco #Glycotime

authors.elsevier.com/a/1l3k53S6Gf...
savitski-lab.bsky.social
Data can be explored 2u7b8b-nico0h0ttmann.shinyapps.io/PELSAAPP/;
This work was led by Kejia Li @kejiali.bsky.social and Clément Potel with contributions from Isabelle Becher, Nico Hüttmann @nicohuettmann.bsky.social , Martín Garrido-Rodríguez
@martingarridorc.bsky.social, and Jennifer Schwarz.
PELSA APP
2u7b8b-nico0h0ttmann.shinyapps.io
savitski-lab.bsky.social
3/3 We extended its application to crude human cell line, bacteria, and tissue lysates and sensitively identify membrane targets! It works extremely well in tissues which allowed us to identify off-targets for sunitinib in mouse heart tissue and could explain its well-known cardiotoxicity.
savitski-lab.bsky.social
2/3 We provide a large collection of ATP-binding proteins in E.coli and give rich information on how they respond to ATP. Our data nicely showed how chaperon protein DnaK binds ATP at ATP-binding region at low ATP concentration and dissociates the substrate protein at high ATP concentration.
savitski-lab.bsky.social
1/3 We extended the original PELSA protocol to work with 96-well plates and show a 100-fold higher throughput, excellent reproducibility, accurate determination of drug-binding affinities in dose-response experiments as shown by a strong correlation of 0.88 with kinobeads-based measurements.
Reposted by Savitski Lab
embl.org
EMBL @embl.org · Feb 10
Bacteria can influence how sugars modify proteins in the brain – shown for the first time by EMBL researchers.

In their study, the scientists describe a new method to study glycosylation systematically & quantitatively, leading to new biological insights. 🧪🧠📈

www.embl.org/news/science...
savitski-lab.bsky.social
All data can be interactively explored 🖥️ apps.embl.de/glycoapp/. This work was led by Clement Potel, @miraburtscher.bsky.social and @martingarridorc.bsky.social. We thank our great collaborators @zimmermannlab.bsky.social and @typaslab.bsky.social.
DQGlyco explorer
apps.embl.de
savitski-lab.bsky.social
Finally, we once again uncovered site-specific modulation of glycosylation upon perturbation, meaning that only some glycoforms on some glycosites are modulated, even within the same protein, suggesting complex regulatory mechanisms.
savitski-lab.bsky.social
Next, we showed remodeling of the mouse brain glycoproteome upon gut microbiome colonization 🐭 The link b/w gut microbiome & brain physiology is long known, but molecular mechanisms remain elusive. We showed that proteins involved in neurotransmission & axon guidance were particularly affected.
savitski-lab.bsky.social
We next used our quantitative approach to measure the dynamics of glycosylation changes in human cells treated with a fucosylation inhibitor 🧫 We discovered pervasive site-specific modulation of glycosylation upon perturbation.
savitski-lab.bsky.social
Very little is known about glycoform functionality. We developed a functional glycoproteomics approach enabling the proteome-wide characterization of the solubility of different glycosylated proteoforms in the mouse brain 🐭
savitski-lab.bsky.social
To understand structural features governing the level of site microheterogeneity, we leveraged our comprehensive dataset in combination with AlphaFold DB 🖥️
savitski-lab.bsky.social
It is essential to differentiate surface-exposed glycoforms from intermediate species. To address this, we treated intact living human cells with two enzymes, enabling proteome-wide characterization of mature glycoforms 🧫
savitski-lab.bsky.social
Using our quant approach, we discovered that many sites have similar glycosylation patterns across tissues 🐭However, we identified a subset of sites driving tissue-specificity, enriched in domains involved in cell adhesion, signaling & immunity. E.g., only N445 exhibits tissue specificity on INSR.
savitski-lab.bsky.social
We are very happy to present our work on N-glycoproteomics!🍬 Our method enables the selective enrichment and precise quantification of intact N-glycopeptides to explore the dynamics of glycosylation microheterogeneity.
www.nature.com/articles/s41...