Benjamin Furtwängler

We’re excited to present this integrative analysis of single-cell proteomics and transcriptomics of the human HSPC hierarchy. Amazing teamwork with @NilUresin, @_sabrinarichter, @fabian_theis, @erwinschoof, @Bo_Porse biorxiv.org/content/10.110… 🧵

There’s still time to register for our upcoming conference in Copenhagen! We’ll be hosting an exciting hackathon featuring topics such as scMS with the @scverse_team and ProteoBench, as well as single-cell metabolomics annotation and spatial lipidomics atlas integration.

Less than 3 months until this year's iSCMS 2024 conference hosted @DTUtweet. If you're interested in studying single cells using Mass Spectrometry, this is the conference for you! Short talk / poster abstract submission deadline Sep 16th. dtu.events/iscms2024/sign… #TeamMassSpec

Ever wonder how trustworthy are the numbers obtained from picogram range (single-cell) samples with your brand new shiny Orbitrap Astral? If so, check out or latest preprint where we carry out a comprehensive investigation into precisely this! tinyurl.com/3499aeve

@bfurtwa @erwinschoof @Bo_Porse And lastly, big thanks to very well-developed tools like GLUE (multimodal integration) and CellRank (lineage analysis) for seamlessly handling protein-RNA-multimodal data. Special shoutout to veloVI, which laid the foundation for scProtVelo.

So excited to finally share the results we got on this beauty of a dataset! 😍 With my favourite finding of course being our ability to detect time delay in protein expression and the implications this has in terms of trajectory inference and understanding of protein variation!

A big thanks to all the coauthors for this collaborative work!

Finally, @_sabrinarichter developed scProtVelo to connect mRNA with protein expression via a translation model. It provided better velocity estimation during erythroid differentiation than RNA velocity and explained protein expression through mRNA better than linear correlation.

We’re excited to present this integrative analysis of single-cell proteomics and transcriptomics of the human HSPC hierarchy. Amazing teamwork with @NilUresin, @_sabrinarichter, @fabian_theis, @erwinschoof, @Bo_Porse biorxiv.org/content/10.110… 🧵

#ASMS2023 might be almost over, but the steady stream of @thermofisher Orbitrap Astral MS pre-prints is not. Please allow me to present our initial results on exploiting this brand-new mass analyzer for single-cell proteomics by Mass Spec (scp-MS). 🧵biorxiv.org/content/10.110…

Happy to share our latest pre-print, where we use OT-DIA, combined with the latest generation uPAC Neo "low load" and Spectronaut 17 to establish a new 384w label-free single-cell proteomics workflow. Very exciting collaboration with @thermofisher & @biognosys

Have you ever wondered if you can tailor your DIA method to facilitate deeper proteome coverage from ultra-low-input samples? Well, look no further, as I am overjoyed to share our latest pre-print where we do precisely that. biorxiv.org/content/10.110…

Our @NatureBiotech article introduces a framework for multiplicatively increasing the throughput of sensitive proteomics: nature.com/articles/s4158… The concept is demonstrated with a 3-plexDIA, and we expect it to scale to high-plexDIA, especially for single-cell proteomics.

Come work with us. Two postdoc positions available in my group to work on a) uncovering the mechanisms of a novel hematologic syndrome (wet lab) or b) analysis of our cool single cell proteomics datasets (computational). 👇 employment.ku.dk/faculty/?show=…

Invite you to read our latest work where we study how TFs coordinate cell cycle exit and lineage-specification in vivo @Bo_Porse lab @UCPH_BRIC @UCPH_health @Rigshospitalet @AllAboutTFs @Hema_News @novonordiskfond @cancer_dk 🧵 1/9 nature.com/articles/s4146…