A Map of Human Type 1 Diabetes Progression by Imaging Mass Cytometry

Data related to the publication: "A Map of Human Type 1 Diabetes Progression by Imaging Mass Cytometry".Damond N, Engler S, Zanotelli VRT, Schapiro D, Wasserfall CH, Kusmartseva I, Nick HS, Thorel F, Herrera PL, Atkinson MA and Bodenmiller B. Cell Metab. 2019 Mar 5;29(3):755-768.e5. https://doi.org/10.1016/j.cmet.2018.11.014We used imaging mass cytometry to simultaneously image 37 biomarkers with single-cell and spatial resolution in pancreas sections from 12 human donors at different stages of type 1 diabetes.CODE:- Python script for coordinate transformation- Functions for custom histoCAT neighborhood analysisDATA:- Single-cell data- Islet-level data- Cell type information- Cell relationships (cell-cell neighborhoods and cell-islet relationships)- Donors and image metadata.- Subset containing the data for 100 images from 3 donorsIMAGES:- Image stacks (37 channels) for all donors (one .7z file per donor, numbers indicate nPOD case IDs)- Cell masks- Panel file with information related to antibodies and metal tags- Metadata file linking donor information to images- Metadata file linking image stack slices and panel information- Subset containing 100 images from 3 donorsTHIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

A Map of Human Type 1 Diabetes Progression by Imaging Mass Cytometry

Data related to the publication: "Imaging Mass Cytometry Analysis Sheds Light on Type 1 Diabetes Progression" (manuscript submitted to Cell Metabolism). We used imaging mass cytometry to simultaneously image 37 biomarkers with single-cell and spatial resolution in pancreas sections from 12 human donors at different stages of type 1 diabetes. CODE: - Python script for coordinate transformation - Functions for custom histoCAT neighborhood analysis DATA: - Single-cell data - Islet-level data - Relationships between cells and islets IMAGES: - Image stacks (37 channels) for all areas imaged (numbers indicate nPOD case IDs) - Panel file with information related to antibodies and metal tags - Metadata file with patient information for all image