Deep Visual Proteomics - Explore the protein profiles in single cell typesNPHS2 - Protein SMS - Protein This section of the Single Cell resource contains data generated using Deep Visual Proteomics (DVP). DVP combines high-resolution microscopy with mass spectrometry to enable protein analysis in spatially defined cells within tissue sections. The data was generated by the Mann Lab and collaboratively integrated into the HPA resource. The dataset includes 14 tissue types, represented by 27 distinct cell type-shapes analyzed using DVP. Some tissues are represented by a single cell type, while others include up to four distinct shapes. The complexity of these cell type-definitions varies: some are well-defined, such as hepatocytes and cardiomyocytes, whereas others represent composite structures, such as renal glomeruli. Protein abundance has been quantified across the included cell types, and a specificity classification was performed to identify proteins enriched in particular cell types. The protein data is compared with corresponding single cell RNA data, where matched clusters from the same tissue types and anatomical structures were selected to represent the transcriptomic profiles. Protein detection in each cell type can be explored through interactive bar charts, displayed alongside the selected single cell RNA data, for a matched comparison. More information about the dataset, including data generation and analysis, is available in the Methods Summary. Details about the included cell type shapes can be found in the DVP details. You can also learn more about the RNA-Protein comparison, see examples and how to further explore using search fields based on enrichment overlap. Learn about:
Bulk tissue data:
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