📢 Starting now! Don't miss Céline's lecture "Mechanisms of cell plasticity in breast cancer". Céline Vallot, Institut Curie, #SCOGVLS ✏️ Register: bit.ly/scogvls

We thank the speakers, organizers and ca. 200 participants of the 16th Berlin Summer Meeting 'The MDC Celebrates 15 Years of BIMSB', 6-7 Sept 2023, for 2 days of superb presentations & discussions on the latest exciting findings in systems biology! Max Delbrück Center #mdcBIMSB2023

To ease understanding of diabetes, which is complicated by bio and technical factors affecting the regulators of blood glucose – the pancreatic islets, we created a comprehensive mouse islet atlas (MIA) by integrating multiple single-cell transcriptomic (scRNA-seq) datasets.

Our journey of multiplexed DIA, encompassing applications in spatial #singlecell #proteomics, is showcased on the cover of the latest issue of Mol Syst Biol. We are excited about the prospects of sensitivity, reproducibility and high-throughput applications in clinical proteomics.

We are thrilled to share our latest work, a collaborative effort with Treutlein lab, in Nature (nature.com/articles/s4158…). We introduce CHOOSE, a powerful screening system within cerebral organoids, through which we identified developmental defects associated with autism. 🧵1/7

The latest on human total body cell count and cell size derived from >1,500 sources PNASNews Men ~36 trillion cells Women ~28 trillion cells an inverse relationship between cell size and count pnas.org/doi/10.1073/pn…

We are planning to build a high-performance computing cluster with 1000+ GPUs to accelerate AI for biomedical science, including advancing the development of new virtual cell 👇🪡czi.co/3Ps2vtE

Excited that veloVI is out Nature Methods! Led by Adam Gayoso & Philipp Weiler w awesome Yosef Lab, we combine deep generative modeling with a mechanistic single-cell transcriptional model for better RNA velocity analysis with uncertainty quantification. nature.com/articles/s4159…

Supervised discovery of interpretable gene programs from single-cell data go.nature.com/460weRo

A workflow developed by Nikolaus Rajewsky, Ivano Legnini and colleagues combines optogenetic perturbations and spatial transcriptomics to enable insights into cell fates and spatiotemporal gene patterns in organoids. OA paper: nature.com/articles/s4159…

#singlecelljob in Barcelona

GET: a foundation model of transcription across human cell types Scalable training across single-cell ATAC and RNA+ATAC datasets biorxiv.org/cgi/content/sh…

It's a wrap! Our two day annual meeting has come to an end. As everyone is heading home, we would like to thank all the speakers, our SAB, and the team for an enganging and productive meeting. Until next time! 👋 #GHGAtalks

📢LIANA+, our all-in-one cell-cell communication framework for multi-condition single-cell and spatial data, is now part of the scverse. In the same spirit, we are open to suggestions, requests and contributions👩‍💻👨‍💻liana-py.readthedocs.io Here's a list of tutorials 👇

36 datasets, 26 protocols, 1.7 million harmonized cells! First edition Human Neural Organoid Cell Atlas. Important work from ZhiSong He 何志嵩 Jonas (josch1@bsky) Leander Dony Treutlein lab Fabian Theis. Strong community effort Sergiu P. Pasca Giorgia Quadrato. #organoids D-BSSE, ETH Zurich Institute of Human Biology

(1/n)scPoli is now published in Nature Methods shorturl.at/jvyL0; see below. scPoli is an open-world learner for multi-scale analysis of scRNAseq/ATAC-seq across samples and species with cell types and conditions hierarchies. With scPoli you can:

#AI accelerates & enables #therapies! 👉Learn how Prof. Fabian Theis & team at #HelmholtzMunich & TU München transform info of #BigData into medical #applications: 🔗Einzelzell-Atlas der Lunge: t1p.de/j5ogs 🔗Passionate about AI in #Health: t1p.de/jdg1v

Want to annotate cells across whole organism? Led by Felix with Villani lab, we propose scTab, a DL model for tabular single cell expr & show strong scaling behavior beyond linear. Comes with large benchmark useful for evaluating foundation models. biorxiv.org/content/10.110…

1/5 Integration of scRNA-seq data is key for cross-dataset comparison. Yet, substantial batch effects can't be sufficiently removed without losing too much biological information. We show how to improve the integration of substantial batch effects tinyurl.com/3efh585v

Save the date for the 17th Berlin Summer Meeting: AI’s Adventures in Genomics, 6-7 June 2024! Speakers include Vikram Agarwal @vagar112, Rebekka Burkholz, Julien Gagneur gagneurlab, Andreas Keller Chair for Clinical Bioinformatics, Georg Seelig Georg Seelig, Ewa Szczurek & Josh Welch Josh Welch #mdcBerlin