Time-of-Flight Fragmentation Spectra Generated by the Proteomic Analysis of Single Human Cells Do Not Exhibit Atypical Fragmentation Patterns
- PMID: 36700448
- PMCID: PMC10502792
- DOI: 10.1021/acs.jproteome.2c00715
Time-of-Flight Fragmentation Spectra Generated by the Proteomic Analysis of Single Human Cells Do Not Exhibit Atypical Fragmentation Patterns
Abstract
Recent work detailed the unique characteristics of fragmentation spectra derived from peptides from single human cells. This valuable report utilized an ultrahigh-field Orbitrap and directly compared the spectra obtained from high-concentration bulk cell HeLa lysates to those obtained from nanogram dilutions of the same and from nanowell-processed single HeLa cells. The analysis demonstrated marked differences between the fragmentation spectra generated at high and single-cell loads, most strikingly, the loss of high-mass y-series fragment ions. As significant differences exist in the physics of Orbitrap and time-of-flight mass analyzers, a comparison appeared warranted. A similar analysis was performed using isolated single pancreatic cancer cells compared to pools consisting of 100 cells. While a reanalysis of the prior Orbitrap data supports the author's original findings, the same trends are not observed in time-of-flight mass spectra of peptides from single human cells. The results are particularly striking when directly comparing the matched intensity fragment values between bulk and single-cell data generated on the same mass analyzers. Instrument acquisition files, processed data, and spectrum libraries are publicly available on MASSIVE via accession MSV000090635.
Keywords: Orbitrap single cell; TIMSTOF single cell; single-cell proteomics.
Conflict of interest statement
The author declares no competing financial interest.
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References
-
- Kelly R.; Zhu Y.; Liang Y.; Cong Y.; Piehowski P.; Dou M.; Zhao R.; Qian W.-J.; Burnum-Johnson K.; Ansong C. Single Cell Proteome Mapping of Tissue Heterogeneity Using Microfluidic Nanodroplet Sample Processing and Ultrasensitive LC-MS. J. Biomol. Technol. 2019, 30, S61.
-
- Hartlmayr D.; Ctortecka C.; Seth A.; Mendjan S.; Tourniaire G.; Mechtler K.. An Automated Workflow for Label-Free and Multiplexed Single Cell Proteomics Sample Preparation at Unprecedented Sensitivity. bioRxiv 2021, 10.1101/2021.04.14.439828. - DOI
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