@AnthonyCesnik @Prof_Lundberg @ProteinAtlas Location matters! Over half of all enzymes localise to multiple cellular structures. By integrating protein-protein interaction data with our imaging data, we highlight potential novel fucntions of multilocalising proteins. /4

@AnthonyCesnik @Prof_Lundberg @ProteinAtlas As part of a collaboration with @LeonettiManuel, we find that a single cell can reproduce the variability and it is conserved in situ establishing single-cell heterogeneity as a organising principle in cell biology /3

@AnthonyCesnik @Prof_Lundberg @ProteinAtlas 40% of enzymes display heterogeneity between genetically identical cells. This number is much higher compared to other proteins and establishes metabolic states independent of the cell cycle. Importantly, metabolic heterogeneity is largely established post-transcriptionally /2

@AnthonyCesnik @Prof_Lundberg @ProteinAtlas Leveraging the #HumanProteinAtlas we provide a comprehensive subcellular map of the metabolic proteome with single-cell resolution. Some metabolic pathways are more conserved than others! /1

Ever wondered about the distribution of the metabolic proteome in and between single cells? 40% of enzymes display cell-cell heterogeneity and over half localise to multiple cellular compartments. ➡️ https://t.co/hDRoJyFawg @AnthonyCesnik @Prof_Lundberg @ProteinAtlas and others

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, @BarraganLab and @HenrikssonLab!

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

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

Deep Visual Proteomics - leveraging imaging and mass spec for deep #spatialomics in native FFPE tissue, in @NatureBiotech today https://t.co/lW5g4JW7wD. Great collaboration led by the dream team @labs_mann @hpke1980 and @MundAndreas -> Towards #digitalmolecularpathology 🌟

Our paper is out today in @ScienceMagazine, I’m stoked @OpenCellCZB ! Check out https://t.co/83dtszf63x: CRISPR tagging + 3D live imaging + IP mass spec to map the human proteome. https://t.co/4hHLSInapu 👇 tweetorial from our 2021 pre-print.

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 (@Prof_Lundberg) with AP-MS data in BioPlex (@EdHuttlin) to create a unified map of human cell architecture. https://t.co/vdmGzVxb4C

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 @TreyIdeker @EdHuttlin @GygiLab

Endogenous tagging + 3D live-cell imaging + mass-spec interactome = https://t.co/83dtszwHs7, an open-source map of the human proteome. So excited for our first release, wonderful collaboration with @labs_mann @loicaroyer & many other colleagues. @OpenCellCZB

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. https://t.co/1OYajtH0wm

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 @Prof_Lundberg @KAWstiftelsen

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_Mahdesian @AnthonyCesnik, w @ProteinAtlas. A thread... #cellatlas #cellcycle

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 @CapolupoLaura and Irina Khven. https://t.co/K153C6d6sY

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. https://t.co/8R7hT2KLtM

Wonderful day! After 3 years, probably one of our largest contribution to science is out. #DeepLearning #proteomics #singlecell @labs_mann @Prof_Lundberg @MundAndreas @BIOMAGlab

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 🤩 @labs_mann @hpke1980 Towards next gen #pathology!