Andreas-David Brunner

[IdoAmitLab @IdoAmitLab]

Congratulations Ali @erturklab, Matthias @labs_mann, Fabian @fabian_theis and teams for this tour de force study, brilliant!
https://t.co/WheaJZTmfr

[Farida Hellal @Farida80168644]

📢@erturklab Spatial proteomics goes 3D🤯.  Merging DISCO-clearing and proteomics to sample diseased tissues in their milieu during imaging promises to decode multifocal and/or multi-organ diseases. A must-read article from @HarsharanBhatia @ADBxMPIB @FurkOzturk @Sakethkapoor 🤩.

[Ali Max Erturk @erturklab]

Spatial-omics goes 3D🤗! Out at Cell @CellCellPress 👉🏼 We developed DISCO-MS with @labs_mann, a spatial proteomics technology for specimens fully imaged in 3D. DISCO-MS is aided by robotics and enables the study of diseases at their early stages. https://t.co/MyvXnnBDgL🧵👇

[Fabian Theis @fabian_theis]

1/n Single-cell data analysis is complex with many tools to choose from - but which ones work best and should be used when? Led by @lukasheumos and @AnnaCSchaar, we wrote a free online book that aims to guide single-cell data analysts: https://t.co/UMU5c7S6pF

[Fabian Theis @fabian_theis]

Excited that our work on learning cell-cell communication in spatial transcriptomics is finally out @NatureBiotech! Led by @davidsebfischer & @AnnaCSchaar, we setup a graph neural network to estimate niche composition on expression in unbiased fashion. https://t.co/Pb61f5K7TM

[David Fischer @davidsebfischer]

1/n Cells in tissues are not independent. Yet, a lot of mathematical models deployed to explain gene expression of single cells assume independence - the i.i.d. assumption on observations. Can we use dependencies to understand gene expression variation better?

[Ralser Lab @RalserLab]

Feeling nostalgic! tomorrow is our last day @TheCrick- Was privileged to supervise a brilliant team since 2013, 7 postdocs are now PIs, together we published just above 100 papers :-) Maybe the Crick accepts this tweet as a final report in exchange for having no tenure programme?

[Fabian Theis @fabian_theis]

Spatial transcriptomics is becoming increasingly popular, with differential studies coming in a lot. How should we compare multiple spatial images?

[Matthias Mann Lab @labs_mann]

Together with @MolecularCell, we are celebrating their 25th anniversary by contributing a technology review highlighting cutting edge ´unbiased #spatial #proteomics with #single-cell resolution in tissues´ technologies. https://t.co/exhDQv1zJu
@UCPH_CPR @UCPH_health @MPI_Biochem

[YingZhu @NanoPOTS_SCP]

As single cell proteomics person, we always try to compare protein measurements to transcript, what if we can do both on the same cells? Great job by @cajun_science and collaboration between @EMSLscience and @Cellenion https://t.co/ewYEQUVhV0

[Andreas-David Brunner @ADBxMPIB]

Also thanks to @ProteomicsNews for covering the paper in such a nice way: https://t.co/7KO9sEFiVJ

[Andreas-David Brunner @ADBxMPIB]

Finally out in print - "Ultra-high sensitivity mass spectrometry quantifies single-cell proteome changes upon perturbation"! Thank you @MolSystBiol for selecting our article to cover the March issue and thank you to the whole team for this amazing project! https://t.co/k2bg72s0qM

[Matthias Mann Lab @labs_mann]

👇

[Mol Syst Biol @MolSystBiol]

03/2022 Issue --> https://t.co/C9dc1diONs
#SynBio, single-cell RNAseq of fly motoneurons, human kinase yeast array, #SynBio, p53 dynamics, plant #circadianclock...
Cover (Uta Mackensen @EMBOPress): #SingleCell #proteomics of the #cellcycle @labs_mann @ADBxMPIB

[Manuel Leonetti @LeonettiManuel]

Our paper is out today in @ScienceMagazine, I’m stoked @OpenCellCZB !

Check out https://t.co/83dtszf63x: CRISPR tagging + 3D live imaging + IP mass spec to map the human proteome.
https://t.co/4hHLSInapu

👇 tweetorial from our 2021 pre-print.

[Manuel Leonetti @LeonettiManuel]

A tribute to team science! @labs_mann @czbiohub @kchev @ADBxMPIB @preethiragh @loicaroyer @marcoyannic @mattersOfLight @JswLab @BoHuangLab @liilii_tweet @heracanaj @yeaarachelll + many other authors. So much fun to work with you all.

[Karl Mechtler @Karl_Mechtler]

If you are a Ukrainian citizen and would like to look for a position in the field of proteomics, mass spectrometry or (bio)informatics in Vienna funded by us, you can contact me at any time. I would be happy if this content can be shared.

[D.Sherpa @dawafutisherpa]

Our review on "How ends signal the end" is out in @MolecularCell. Here we discuss various aspects of numerous terminal degron pathways and their regulation by E3 ubiquitin ligases. Review can be accessed for next 50 days via https://t.co/OGjLrLLi95 @MPI_Biochem @chrustowicz_j

[Matthias Mann Lab @labs_mann]

Our scalable, quantitative and ultrasensitive LC-MS based workflow for single cell proteome analysis 'one cell at a time' is out! Single cells have a stable proteome but not transcriptome. Great collaboration
with @Bruker,@EvosepBio,@fabian_theis. Enjoy!
https://t.co/IjOteOdjmR

[Pastel BioScience @PastelBio]

Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbation | https://t.co/pKi4II9KwB #proteomics