Year: 2025
Type: article
Abstract: Limiting artifacts during sample preparation can significantly increase data quality in single-cell proteomics experiments. Towards this goal, we characterize the impact of protein leakage by analyzing thousands of primary single cells that were prepared either fresh immediately after dissociation or cryopreserved and prepared at a later date. We directly identify permeabilized cells and use the data to define a signature for protein leakage. We use this signature to build a classifier for identifying damaged cells that performs accurately across cell types and species.
Source: Nature Communications
Institutions: Northeastern University, Massachusetts General Hospital
Language: English
Subfield: Spectroscopy
Field: Chemistry
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $6,990
Awards: G1017293049, Collaborative Research: DMS/NIGMS 2: Methods for Systematic Analysis of Post-transcriptional Regulation in Single Cells, G1705639354, G3502754900, G4997418357, Molecular and metabolic influences on the activation of monocytes and macrophages at single-cell resolution, G7167174859, G7884123947, G9000083708, G9000253599
OpenAlex ID: W4410092193