There are many tools and resources to estimate Cell-Cell Communication from scRNA data - do you wonder which one you should use? We do too! To find out, we compared 6 methods and 15 resources doi.org/10.1101/2021.0…. For this, we built a framework that decouples Cell-Cell communication tools from their inbuilt resources. The framework is open access and available at github.com/saezlab/ligrec….

Is it possible to predict signaling in single cell? 🤔
Our @attila_gbr with Marco Tognetti, @BodenmillerLab group, @tanevski, and @Sagebio designed a @DR_E_A_M challenge to crowdsource this question and our manuscript is out 🎊biorxiv.org/content/10.110…. Here is what we learnt🧑‍🎓 we used this biorxiv.org/content/10.110… rich dataset from the @BodenmillerLab and @Picotti_Lab labs: 80 millions of #singlecell from 67 #breastcancer cell lines, 36 measured markers, 5 kinase inhibitors, time courses #CyTOF + #proteomics , transcriptomics and genomics

We are happy to share our first contribution to the #cardiology field.
@roramirezf94 & Jan Lanzer, et. al. present: “A Consensus Transcriptional Landscape of Human End-Stage Heart Failure” (medrxiv.org/content/10.110…) (1/7) In our pre-print we compared and integrated 16 public transcriptomic studies of the last 15 years that profiled over 900 left-ventricle biopsies of #heartfailure (HF) patients and control individuals (2/7)