JesperOlsenLab

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

[KPL ApS @KPL_ApS]

New publication alert!📢
KPL collaborates w/ @JesperOlsenLab on the first systematic comparison of LysC enzymes for proteomics published in @JProteomeRes

A. lyticus LysC: >90% cleavage efficiency, >97% specificity

Read more: https://t.co/cTTYcHJ5Yn
#TeamMassSpec #proteomics

[JesperOlsenLab @JesperOlsenLab]

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 👍🏼
https://t.co/yC3rzYZj7h

[JesperOlsenLab @JesperOlsenLab]

With a 40% reduction in analysis time and >12,000 proteins covered in 2.7 hours, it's setting new benchmarks for proteome studies.

[JesperOlsenLab @JesperOlsenLab]

🚀 Check out our preprint on the new Thermo Scientific Orbitrap Astral Zoom MS 💫👇🏼

https://t.co/gwk98VoOo9

[JesperOlsenLab @JesperOlsenLab]

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.

[JesperOlsenLab @JesperOlsenLab]

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.

[JesperOlsenLab @JesperOlsenLab]

🚨 Check out our new study on proteomic profiling in premetastatic colorectal cancer! Accross 412 tumors, we define molecular subtypes with distinct functional landscapes and revealed CAVIN1 as novel biomarkers for relapse risk.
https://t.co/w5lPUBMpuW

[JesperOlsenLab @JesperOlsenLab]

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.

[JesperOlsenLab @JesperOlsenLab]

We confirmed this observation and exploited it to compare different modalities of cell division arrest in human foreskin fibroblasts.

[JesperOlsenLab @JesperOlsenLab]

🚀 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!
https://t.co/hFLrJzunjm

[JesperOlsenLab @JesperOlsenLab]

Histone turnover enables distinguishing between dividing cells from slow/non-dividing ones, due to the extremely slow core histone turnover in non-dividing cells.

[Shabaz Lab @ShabazLab]

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

[JesperOlsenLab @JesperOlsenLab]

Check out the full thread on 🦋 https://t.co/6E6G3oJtar

[JesperOlsenLab @JesperOlsenLab]

🚨 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 📦
https://t.co/xAE19gUMWa

[JesperOlsenLab @JesperOlsenLab]

Follow us on Bluesky! @jesperolsenlab.bsky.social🦉🦋

[JesperOlsenLab @JesperOlsenLab]

🚨 Our #singlecell article is out!
We describe the Chip-Tip label-free SCP workflow quantifying >5000 proteins in single HeLa cells. With high scalability, increased depth and throughput we can now envision large-scale LFQ-SCP biomedical studies!
https://t.co/iAHw51wBL5

[JesperOlsenLab @JesperOlsenLab]

Lastly we applied the workflow to analyse undirected stem cell differentiation enabling the accurate quantification of stem cells and lineage markers.