
Xiaokang Lun
@xiaokang_lun
ID: 827890467861831680
04-02-2017 14:44:03
84 Tweet
92 Followers
140 Following


Ready to use! Infinity flow by Etienne Becht @ebecht.bsky.social can convert LEGENDScreen BioLegend or Surface Marker Screening Panel BD Biosciences data into 100+ parameter fcs files that can be used to identify novel cellular marker expression patterns and relationships. biorxiv.org/content/10.110…

The results of our collaboration with the Nilsson and Boyman labs that describe the temporal changes of the adaptive and innate immune response to SARS-CoV-2 are now online biorxiv.org/content/10.110… biorxiv.org/content/10.110… #COVID19 UZH Science Unispital_USZ

Our new approach to analyze metabolic features of single cells and human tissues was published today Nature Biotechnology! We think that this will prove a new lens to study the metabolic and functional phenotypes of immune cells across many human diseases. rdcu.be/b6zYB 1/8




I am extremely happy that my PhD work on exploring phenotypic variability in 3D spheroids is finally out in Mol Syst Biol: "A quantitative analysis of the interplay of environment, neighborhood, and cell state in 3D spheroids" embopress.org/doi/full/10.15…


Last but not least, our collaborative project with the Boyman and Nilsson labs @UZH Ulla Schadewitz describing the innate immune response to COVID-19 was just published bit.ly/37RGe3L


We are looking for Postdocs / PhD students in Medical Bioinformatics / Systems Medicine in Heidelberg in Deciderproject and other projects #multiomics #singlecell #cancer & #KidneyDisease please RT🙏 jobrxiv.org/job/heidelberg…

Is it possible to predict signaling in single cell? 🤔 Our attila gabor with Marco Tognetti, Bodenmiller lab group, Jovan Tanevski, and Sage Bionetworks designed a DREAMchallenges challenge to crowdsource this question and our manuscript is out 🎊biorxiv.org/content/10.110…. Here is what we learnt🧑‍🎓




Our approach for highly multiplexed 3D tissue imaging is now published Nature Cancer nature.com/articles/s4301… We would like to thank our collaborators @CRUKGrandChallenge IMAXT team and Comprehensive Cancer Center Zurich Comprehensive Cancer Center Zurich for the inspiring interactions.



Excited to introduce a new signal amplification approach for mass cytometry-based single-cell and spatial analysis. Our method simultaneously amplify the signals of over 30 targets, with tunable amplification power that can exceed 500-fold. Nature Biotechnology go.nature.com/3YjKiol