Résumé
Knowledge of intracellular location can provide important insights into the function of proteins and their respective organelles, and there is interest in combining classical subcellular fractionation with quantitative mass spectrometry to create global cellular maps. To evaluate mass spectrometric approaches specifically for this application, we analyzed rat liver differential centrifugation and Nycodenz density gradient subcellular fractions by tandem mass tag (TMT) isobaric labeling with reporter ion measurement at the MS2 and MS3 level and with two different label-free peak integration approaches, MS1 and data independent acquisition (DIA). TMT-MS2 provided the greatest proteome coverage, but ratio compression from contaminating background ions resulted in a narrower accurate dynamic range compared to TMT-MS3, MS1, and DIA, which were similar. Using a protein clustering approach to evaluate data quality by assignment of reference proteins to their correct compartments, all methods performed well, with isobaric labeling approaches providing the highest quality localization. Finally, TMT-MS2 gave the lowest percentage of missing quantifiable data when analyzing orthogonal fractionation methods containing overlapping proteomes. In summary, despite inaccuracies resulting from ratio compression, data obtained by TMT-MS2 assigned protein localization as well as other methods but achieved the highest proteome coverage with the lowest proportion of missing values.
| langue originale | Anglais |
|---|---|
| Pages (de - à) | 1718-1730 |
| Nombre de pages | 13 |
| journal | ACS Applied Materials & Interfaces |
| Volume | 19 |
| Numéro de publication | 4 |
| Les DOIs | |
| Etat de la publication | Publié - 5 mars 2020 |
Financement
We thank Dr. Martin Wühr for valuable discussions and initial experiments conducted on the Orbitrap Lumos, partly funded by NIH grant R35-GM128813, Dr. Nathan Yates for helpful discussions on experimental design and Virginie Tevel for technical assistance with fractionation experiments. This work was supported by NIH grants P30-NS46593, S10-RR024584, and S10-OD016400 (PL). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
| Bailleurs de fonds | Numéro du bailleur de fonds |
|---|---|
| National Institute of Child Health and Human Development (NICHD) | S10-RR024584, P30-NS46593, S10-OD016400 |
| National Institute of General Medical Sciences | R35GM128813 |
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