Wonderful day! After 3 years, probably one of our largest contribution to science is out. #DeepLearning #proteomics #singlecell Matthias Mann Lab Emma Lundberg Andreas Mund BIOMAG

Imaging+LMD+AI+MassSpec = Deep Visual Proteomics ❤️ The possibilities are endless when using imaging to drive supervised or unbiased single cell collection for deep proteomics. Fun project with an amazing team 🤩 Matthias Mann Lab Peter Horvath Towards next gen #pathology!

Happy to share our recent work on building interactive annotation tools with deep learning and #ImJoy. We demonstrated interactive annotation and training of a #CellPose segmentation model in 10 minutes in Google Colab. f1000research.com/articles/10-142

Did you know #lipids control cell identity? Yes, they do! Happy to share our first preprint on #singlecell #lipidomics in collaboration with @GiO_DAngelo and a fabulous team led by Laura Capolupo and Irina Khven. biorxiv.org/content/10.110…

Today we are releasing version 20.1 of the Human Protein Atlas (HPA), adding new data to the Cell Atlas, which allows detailed exploration of protein and RNA expression in relation to cell cycle progression. #HumanProteinAtlas #CellAtlas Emma Lundberg KAW

Very proud to present our work "Spatiotemporal dissection of the cell cycle with single-cell proteogenomics” in @nature today. A great (and long) team effort led by Diana Anthony Cesnik, w Human Protein Atlas. A thread... #cellatlas #cellcycle go.nature.com/3sq8sKE

A paper published in Nature presents a comprehensive map of the spatiotemporal heterogeneity of the human proteome by integrating proteomic imaging, transcriptomics and pseudotime measurements of individual cells across the cell cycle. go.nature.com/3sqLqmF

Endogenous tagging + 3D live-cell imaging + mass-spec interactome = opencell.czbiohub.org, an open-source map of the human proteome. So excited for our first release, wonderful collaboration with Matthias Mann Lab Loïc A. Royer 💻🔬⚗️ & many other colleagues. OpenCellCZB

Really excited to share our work that's now online nature, introducing a novel AI approach to integrate confocal images in the Human Protein Atlas (Emma Lundberg) with AP-MS data in BioPlex (Ed Huttlin) to create a unified map of human cell architecture. nature.com/articles/s4158…

Very proud to share our work in nature on how to build a multi-scale hierarchical cell model! With AI we integrate image and PPI data to model the protein communities underpinning cell function. Great collab w @Yue_Qin_UCSD Trey Ideker Ed Huttlin Gygi Lab go.nature.com/30W93uU

Our paper is out today in Science Magazine, I’m stoked OpenCellCZB ! Check out opencell.czbiohub.org: CRISPR tagging + 3D live imaging + IP mass spec to map the human proteome. science.org/doi/10.1126/sc… 👇 tweetorial from our 2021 pre-print.

Deep Visual Proteomics - leveraging imaging and mass spec for deep #spatialomics in native FFPE tissue, in Nature Biotechnology today rdcu.be/cNU70. Great collaboration led by the dream team Matthias Mann Lab Peter Horvath and Andreas Mund -> Towards #digitalmolecularpathology 🌟

I am honored to receive the 2022 Nikon Young Scientist award by DGZ, @DGZ.bsky.social for the research conducted during my PhD time at the Dagmar Wachten & lab lab. Thank you to all the people who have supported me over my journey in #cilia and #flagella science!

Our PhD student @franziska_hibr AnkarklevLab is one of three young researchers taking part in a conversation on #genetics and #genetechnology Nobel Prize Museum on 18 November.

I am happy to share our #bioRxiv preprint where we describe transcriptional heterogeneity of host-pathogen interactions in #Toxoplasma gondii infected immune cells (BMDCs), a great team effort by AnkarklevLab, Barragan Lab and Johan Henriksson! biorxiv.org/content/10.110…