Mass spectrometry for quantitative proteomics. The Olsen Group @jespervolsen at NNF-CPR @UCPH_CPR , University of Copenhagen. 🦋 jesperolsenlab.bsky.social

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We present our collaborative project on “personalising clinical decisions in ovarian cancer through patient-derived in vitro models” for the #ERAPerMed video competition 🎬 Have a look at it 👇🏼 and don’t forget to suport us by putting like on Youtube 👍🏼 piped.video/J4bc1MPqIqE?si=EkhR…
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With a 40% reduction in analysis time and >12,000 proteins covered in 2.7 hours, it's setting new benchmarks for proteome studies.
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The new Astral Zoom MS overcomes previous MS limitations and is now achieving ultra-fast scans up to 270 Hz. It allows to identity > 100,000 peptides with short LC gradients.
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Knocking down CAVIN1 in a 3D model reveals its connection with tumour invasiveness. Hybrid-DIA based phosphoproteomics profiling reveals an intriguing link between mTOR-signalling and its potential association to CAVIN1.
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The mesenchymal-like subtype was shown to be marked by increased CAVIN1 and PRELP. Higher CAVIN1 correlates with higher relapse risk in two independent cohorts. We confirmed this in a second cohort and were able to link this to Epithelial to Mesenchymal Transition.
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We stratified 412 CRC tumors into 4 distinct subtypes using quantitative proteomics. Our results show clear links to transcriptomics CMS, immune infiltration, tumor purity, and relapse.
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We confirmed this observation and exploited it to compare different modalities of cell division arrest in human foreskin fibroblasts.
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Histone turnover enables distinguishing between dividing cells from slow/non-dividing ones, due to the extremely slow core histone turnover in non-dividing cells.
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Protein turnover provides an orthogonal measurement to abundance, revealing functional differences between cell types and states, and improving protein co-regulation analysis to determine members of protein complexes.
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We then performed large-scale SC-pSILAC to study the undirected differentiation of human induced pluripotent stem cells through embryoid body induction in >1000 individual single cells. Our dataset shows protein turnover dynamics during cell differentiation over 2 months.
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We studied treatments altering global protein turnover including proteasome(bortezomib), protein translation (cycloheximide), and B-cathenin inhibitions for altered turnover of a specific protein (GSK3 inhibitor). SC-pSILAC revealed treatment-related changes in single cells.
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🚀 Excited to share our latest article in #singlecell proteomics published in Cell! SC-pSILAC allows to simultaneously measure protein turnover and abundance in single cells, unlocking the first large-scale, 2D proteomic insights at single-cell resolution! cell.com/cell/fulltext/S0092…
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JesperOlsenLab retweeted
First announcement! The Brixen Summer School is back and is, as usual, building up a strong speaker list. Thank you @EuPAProteomics @msaid_de @thermofisher @biognosys @EvosepBio @SIGNATOPE_GmbH
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🚨 More research on single-cell proteomics! We evaluated how formaldehyde fixation preserve proteome state, drug response and cell integrity. Cell fixation can facilitate access to #singlecell by enabeling sample shiping and prolonged sorting 📦 pubs.acs.org/doi/10.1021/acs…
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Follow us on Bluesky! @jesperolsenlab.bsky.social🦉🦋
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Lastly we applied the workflow to analyse undirected stem cell differentiation enabling the accurate quantification of stem cells and lineage markers.
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