If you find any error in data or bug in web service, please kindly report it to Dr. Zhou and Dr. Zhu.
Single-cell Proteomics
SingPro 2.0 has evolved from its original focus on pure single-cell proteomics (SCP) to comprehensive proteomics-centric information for single-cell multimodal profiling.
We provide raw data, processed profiles, and experimental details for both traditional SCP studies (MS- and flow cytometry-based) and advanced single-cell multimodal research centered on proteomics. Now, our foundational collection of 204 SCP studies (>625 million cells, >16,000 proteins) is expanded with 814 new multimodal studies profiling approximately 81.5 million cells.
This update seamlessly integrates 5 distinct omics modalities (proteome, transcriptome, genome, spatial transcriptome, epigenome and others) across 12 experimental technologies, 29 tissues, and 44 diseases from multiple species (including homo sapiens, mus musculus, macaca mulatta and sus scrofa).
Cite SingPro
X. C. Lian, Y. T. Zhang, Y. Zhou, X. N. Sun, S. J. Huang, H. B. Dai*, L. Y. Han*, F. Zhu*. SingPro: a knowledge base providing single-cell proteomic data.
Nucleic Acids Research. 52(D1): 552-561 (2024).
PMID: 37819028
About SingPro
A comprehensive proteomics-centric database that provides raw data, processed profiles, and experimental details for protein-inclusive single-cell multimodal research, as well as traditional single-cell proteomics studies (mass spectrometry– and flow cytometry– based).
IDRB Group
All rights are reserved by: Innovative Drug Research and Bioinformatics Group (IDRB)
College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, P.R. China, 310058.
College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, P.R. China, 310058.