TY - JOUR
T1 - SPDB
T2 - a comprehensive resource and knowledgebase for proteomic data at the single-cell resolution
AU - Wang, Fang
AU - Liu, Chunpu
AU - Li, Jiawei
AU - Yang, Fan
AU - Song, Jiangning
AU - Zang, Tianyi
AU - Yao, Jianhua
AU - Wang, Guohua
N1 - Funding Information:
National Natural Science Foundation of China [62225109, 62072095]; Fundamental Research Funds for the Central Universities [HIT.BRET.2022003]; National Key R&D Program of China [2022YFF1202101]. Funding for open access charge: National Natural Science Foundation of China.
Publisher Copyright:
© The Author(s) 2023.
PY - 2024/1/5
Y1 - 2024/1/5
N2 - The single-cell proteomics enables the direct quantification of proteinãbundanceãt the single-cell resolution, providing valuable insights into cellular phenotypes be y ond what can be inferred from transcriptomeãnalysisãlone. However, insufficient large-scale integrated databases hinder researchers fromãccessingãnd exploring single-cell proteomics, impeding theãdvancement of this field. To fill this deficiency, we presentã comprehensive database, namely Single-cell Proteomic DataBase (SPDB, https:// scproteomicsdb.com/ ), for general single-cell proteomic data, includingãntibody-based or mass spectrometry-based single-cell proteomics. Equipped with stãndardized datã processãndã user-friendly web interfãce, SPDB pro vides unified data formats for convenient interaction with downstreamãnalysis,ãnd offers not only dataset-level butãlso protein-le v el data searchãnd exploration capabilities. To enable detailed exhibition of single-cell proteomic data, SPDBãlso providesã module for visualizing data from the perspectives of cell metãdatã or protein features. The current version of SPDB encompasses 133ãntibody-based single-cell proteomic datasets in v olving more than 300 million cellsãnd o v er 800 mark er / surfãce proteins,ãnd 10 mass spectrometry-based single-cell proteomic datasets in v olving more than 40 0 0 cellsãnd o v er 70 0 0 proteins. Ov erall, SPDB is en visioned to be exploredãsã useful resource that will facilitate the wider research communities by providing detailed insights into proteomics from the single-cell perspective.
AB - The single-cell proteomics enables the direct quantification of proteinãbundanceãt the single-cell resolution, providing valuable insights into cellular phenotypes be y ond what can be inferred from transcriptomeãnalysisãlone. However, insufficient large-scale integrated databases hinder researchers fromãccessingãnd exploring single-cell proteomics, impeding theãdvancement of this field. To fill this deficiency, we presentã comprehensive database, namely Single-cell Proteomic DataBase (SPDB, https:// scproteomicsdb.com/ ), for general single-cell proteomic data, includingãntibody-based or mass spectrometry-based single-cell proteomics. Equipped with stãndardized datã processãndã user-friendly web interfãce, SPDB pro vides unified data formats for convenient interaction with downstreamãnalysis,ãnd offers not only dataset-level butãlso protein-le v el data searchãnd exploration capabilities. To enable detailed exhibition of single-cell proteomic data, SPDBãlso providesã module for visualizing data from the perspectives of cell metãdatã or protein features. The current version of SPDB encompasses 133ãntibody-based single-cell proteomic datasets in v olving more than 300 million cellsãnd o v er 800 mark er / surfãce proteins,ãnd 10 mass spectrometry-based single-cell proteomic datasets in v olving more than 40 0 0 cellsãnd o v er 70 0 0 proteins. Ov erall, SPDB is en visioned to be exploredãsã useful resource that will facilitate the wider research communities by providing detailed insights into proteomics from the single-cell perspective.
UR - http://www.scopus.com/inward/record.url?scp=85181761085&partnerID=8YFLogxK
U2 - 10.1093/nar/gkad1018
DO - 10.1093/nar/gkad1018
M3 - Article
C2 - 37953313
AN - SCOPUS:85181761085
SN - 0305-1048
VL - 52
SP - D562-D571
JO - Nucleic Acids Research
JF - Nucleic Acids Research
IS - D1
ER -