Single-cell Proteomic DataBase (SPDB) is a comprehensive repository for general single-cell proteomic data, encompassing both antibody-based and mass spectrometry-based single-cell proteomics, and provides dataset/protein search, visualization and download with unified formats.
Trajectory and Functional Analysis of PD-1high CD4+CD8+ T Cells in Hepatocellular Carcinoma by Single-Cell Cytometry and Transcriptome Sequencing
 rds file
Cell number:   9416027  
Protein number:   35  
Technology:   CyTOF  
Species:   Homo sapiens  
Tissue:   tumor  
Cell:   immune cells  
Disease:   hepatocellular carcinoma  
Condition:   hepatocellular carcinoma (HCC)  
Citation:   Zheng, B. et al. Trajectory and Functional Analysis of PD-1high CD4+CD8+ T Cells in Hepatocellular Carcinoma by Single-Cell Cytometry and Transcriptome Sequencing. Advanced Science 7, (2020).  
Source platform:   Mendeley Data  
Source link: https://data.mendeley.com/datasets/jxsz3hdsyg
Summary
Marker Info:

Analysis plots of cells or proteins within dataset:
MDS plot showing similarities between samples in dataset. Colored by sample conditions.
Barplot showing the number of cells measured for each sample in the dataset. Bars are colored by experimental condition.
Clustering of samples (rows) and markers (columns) based on the median (arcsinh-transformed) marker expression across all cells measured for each sample. Colored by experimental condition. Dendrograms are based on hierarchical clustering with Euclidean distance metric and average linkage
Non-redundancy scores for markers and all samples in the dataset. The points represent the per-sample NR scores (colored by experimental conditions), while open white circles indicate the mean NR scores from all the samples. Markers on the x-axis are sorted according to the decreasing average NRS

SPDB is developed by Tencent AI Lab and Harbin Institute of Technology. For help, please refer to the Manual link in the navigation bar, or contact us via avonwanghit@gmail.com.