Deep Visual Proteomics - Explore the protein profiles in single cell types


NPHS2 - 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:

  • Protein detection in single cell types and shapes in human tissues
  • If a protein is enriched in a particular cell type (specificity)
  • How RNA and protein overlaps

Bulk tissue data:
The tissues used for DVP, were also used for quantitative bulk MS data generation. Data is avaliable for all 14 tissues, and the result is used to calculate tissue specificity, based on MS data. See more details here.



DEEP VISUAL PROTEOMEi


EXPLORE MOREi

PVALB

ALB


RNA-Protein comparison


DVP SUMMARYi
Specificity
Distribution


Classification of all proteins based on single cell type-specific protein detection, determining the number of genes with elevated protein detection (cell type/group enriched, cell type enhanced) in a particular cell type or shape compared to all other cell types and shapes. Click on the bars or names for gene lists with more details.

Cell type group Cell type EnrichedGroup
enriched
EnhancedTotal
elevated
Neuronal cells Neurons 35510417182114
Glial cells Astrocytes and Neuropil 687963421206
Microglia and Neuropil 1099074171433
Endocrine cells Pancreatic islets 123337297757
Specialized epithelial cells Alveolar cell types 126198333657
Large ducts 123218297638
Collecting ducts 115279202596
Hepatocytes 161238247646
Glomeruli 91303222616
Proximal tubules 130349319798
Distal tubules 57191190438
Granulosa cells 3034594361198
Squamous epithelial cells Keratinocytes 226127185538
Glandular epithelial cells Pancreas epithelial cells 58282297637
Ciliated cells Fallopian tube cells 4513612671079
Germ cells Oocytes 279370302951
Muscle cells Cardiomyocytes 21208284513
Skeletal myofibers 159153123435
Endothelial and mural cells Capillaries 58221150429
Smooth muscle cells 175135208518
Blood and immune cells Neutrophils 184243330757
Macrophages 83300278661
T-cells 118389458965
B-cells 27255238520



DVP - examplesi

Top-enriched in DVP

Protein abundance across different cell types can be used to explore the specificity. Examples of proteins with an enriched detection level across the different DVP samples are shown here: CPS1 show enriched detection in liver hepatocytes, KRT1 in skin keratinocytes. MYBPC1 in skeletal muscle fibers, NPTX2 in pancreatic islets, SLC5A5 in large ducts of salivary gland, TOMM34 in oocytes of ovary and SIGLEC1 in lymph node macrophages. By clicking on the gene-link you will reach the gene summary page where RNA and protein data is displayed side by side for comparison. In addition, immunohistochemical images can be explore in the Tissue resource.






Protein location confirmed by antibody staining, images available in the Tissue resource, confirming the cell and tissue specificity of the DVP-based protein data. Scale bar is 30um

Elevated proteins

Proteomics data is integrated to enable exploration of proteins with cell type enrichment, alongside side-by-side comparison with corresponding RNA expression data. Specificity categories and elevated cell types are searchable, with respective numbers summarized in the tables above. A global overview of cell type enriched proteins is presented in the pie chart, bar plot, and summary table above. Here, we showcase three examples of elevated proteins and how the protein detection profile varies, examples are spatially confirmed by antibody labeling, images available in the Tissue resource.


GZMK - Protein

GZMK - lymph node

GZMK is an example of protein classified as enriched.


BSND - Protein

BSND - salivary gland

BSND is an example of protein classified as group enriched


TJP1 - Protein

TJP1 - kidney

TJP1 is an example of protein classified as enhanced

Low cell type specificity

Detected RNA and protein levels, not classified as elevated (enriched, group enriched or enhanced) are classified as "low cell type specificity". These proteins are generall detected with low variation, usually with a low tau score and often a more general expression profile. Comparing the RNA and protein data across these targets is a challange, and for this reason we integrated the Agreement scores.

Examples of proteins with low cell type specificity

Essential proteins, such as Splicing factor 3b subunit 2 (SF3B2) involved in RNA processing, and Golgin A4 (GOLGA4) are both generally expressed detected in all the DVP samples. Both score 1 in detection agreement, since RNA and protein is detected in all cell types. The expression agreement score is however lower, for both, where GOLGA4 scores 0.41 while SF3B2 scores 0.75.


SF3B2 - Protein

SF3B2 - skin


GOLGA4 - Protein

GOLGA4 - fallopian tube