PXD020586 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Quantitative Single-Cell Proteomics as a Tool to Characterize Cellular Hierarchies |
Description | Large-scale single-cell analyses are of fundamental importance in order to capture biological heterogeneity within complex cell systems, but have largely been limited to RNA-based technologies. Here we present a comprehensive benchmarked experimental and computational workflow, which establishes global single-cell mass spectrometry-based proteomics as a tool for large-scale single-cell analyses. By exploiting a primary leukemia model system, we demonstrate both through pre-enrichment of cell populations and through a non-enriched unbiased approach that our workflow enables the exploration of cellular heterogeneity within this aberrant developmental hierarchy. Our approach is capable of consistently quantifying approximately 1000 proteins per cell across thousands of individual cells using limited instrument time. Furthermore, we developed a computational workflow (SCeptre) that effectively normalizes the data, integrates available FACS data and facilitates downstream analysis. The approach presented here lays a solid foundation for implementing global single-cell proteomics studies across the world. |
HostingRepository | PRIDE |
AnnounceDate | 2021-05-06 |
AnnouncementXML | Submission_2021-05-05_22:20:39.975.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Erwin Schoof |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | monohydroxylated residue; iodoacetamide derivatized residue |
Instrument | Orbitrap Exploris 480; Orbitrap Fusion |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2020-07-27 00:56:11 | ID requested | |
⏵ 1 | 2021-05-05 22:20:40 | announced | |
2 | 2021-07-01 04:07:26 | announced | 2021-07-01: Updated publication reference for PubMed record(s): 34099695. |
Publication List
Dataset with its publication pending |
Keyword List
submitter keyword: LC-MS, TMTPro, scMS, single cell proteomics |
Contact List
Bo Porse |
contact affiliation | The Finsen Laboratory, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, Denmark Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark Novo Nordisk Foundation Center for Stem Cell Biology, DanStem, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark |
contact email | bo.porse@finsenlab.dk |
lab head | |
Erwin Schoof |
contact affiliation | Technical University of Denmark |
contact email | erws@dtu.dk |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2021/05/PXD020586 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD020586
- Label: PRIDE project
- Name: Quantitative Single-Cell Proteomics as a Tool to Characterize Cellular Hierarchies