Systematic Optimization of Automated Phosphopeptide Enrichment for High-Sensitivity Phosphoproteomics

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Systematic Optimization of Automated Phosphopeptide Enrichment for High-Sensitivity Phosphoproteomics. / Bortel, Patricia; Piga, Ilaria; Koenig, Claire; Gerner, Christopher; Martinez-Val, Ana; Olsen, Jesper V.

In: Molecular and Cellular Proteomics, Vol. 23, No. 5, 100754, 2024.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Bortel, P, Piga, I, Koenig, C, Gerner, C, Martinez-Val, A & Olsen, JV 2024, 'Systematic Optimization of Automated Phosphopeptide Enrichment for High-Sensitivity Phosphoproteomics', Molecular and Cellular Proteomics, vol. 23, no. 5, 100754. https://doi.org/10.1016/j.mcpro.2024.100754

APA

Bortel, P., Piga, I., Koenig, C., Gerner, C., Martinez-Val, A., & Olsen, J. V. (2024). Systematic Optimization of Automated Phosphopeptide Enrichment for High-Sensitivity Phosphoproteomics. Molecular and Cellular Proteomics, 23(5), [100754]. https://doi.org/10.1016/j.mcpro.2024.100754

Vancouver

Bortel P, Piga I, Koenig C, Gerner C, Martinez-Val A, Olsen JV. Systematic Optimization of Automated Phosphopeptide Enrichment for High-Sensitivity Phosphoproteomics. Molecular and Cellular Proteomics. 2024;23(5). 100754. https://doi.org/10.1016/j.mcpro.2024.100754

Author

Bortel, Patricia ; Piga, Ilaria ; Koenig, Claire ; Gerner, Christopher ; Martinez-Val, Ana ; Olsen, Jesper V. / Systematic Optimization of Automated Phosphopeptide Enrichment for High-Sensitivity Phosphoproteomics. In: Molecular and Cellular Proteomics. 2024 ; Vol. 23, No. 5.

Bibtex

@article{619e8a4ece3d4f63965c033a44ae890c,
title = "Systematic Optimization of Automated Phosphopeptide Enrichment for High-Sensitivity Phosphoproteomics",
abstract = "Improving coverage, robustness, and sensitivity is crucial for routine phosphoproteomics analysis by single-shot liquid chromatography-tandem mass spectrometry (LC-MS/MS) from minimal peptide inputs. Here, we systematically optimized key experimental parameters for automated on-bead phosphoproteomics sample preparation with a focus on low-input samples. Assessing the number of identified phosphopeptides, enrichment efficiency, site localization scores, and relative enrichment of multiply-phosphorylated peptides pinpointed critical variables influencing the resulting phosphoproteome. Optimizing glycolic acid concentration in the loading buffer, percentage of ammonium hydroxide in the elution buffer, peptide-to-beads ratio, binding time, sample, and loading buffer volumes allowed us to confidently identify >16,000 phosphopeptides in half-an-hour LC-MS/MS on an Orbitrap Exploris 480 using 30 μg of peptides as starting material. Furthermore, we evaluated how sequential enrichment can boost phosphoproteome coverage and showed that pooling fractions into a single LC-MS/MS analysis increased the depth. We also present an alternative phosphopeptide enrichment strategy based on stepwise addition of beads thereby boosting phosphoproteome coverage by 20%. Finally, we applied our optimized strategy to evaluate phosphoproteome depth with the Orbitrap Astral MS using a cell dilution series and were able to identify >32,000 phosphopeptides from 0.5 million HeLa cells in half-an-hour LC-MS/MS using narrow-window data-independent acquisition (nDIA).",
author = "Patricia Bortel and Ilaria Piga and Claire Koenig and Christopher Gerner and Ana Martinez-Val and Olsen, {Jesper V.}",
note = "Publisher Copyright: {\textcopyright} 2024 THE AUTHORS. Published by Elsevier Inc on behalf of American Society for Biochemistry and Molecular Biology.",
year = "2024",
doi = "10.1016/j.mcpro.2024.100754",
language = "English",
volume = "23",
journal = "Molecular and Cellular Proteomics",
issn = "1535-9476",
publisher = "American Society for Biochemistry and Molecular Biology",
number = "5",

}

RIS

TY - JOUR

T1 - Systematic Optimization of Automated Phosphopeptide Enrichment for High-Sensitivity Phosphoproteomics

AU - Bortel, Patricia

AU - Piga, Ilaria

AU - Koenig, Claire

AU - Gerner, Christopher

AU - Martinez-Val, Ana

AU - Olsen, Jesper V.

N1 - Publisher Copyright: © 2024 THE AUTHORS. Published by Elsevier Inc on behalf of American Society for Biochemistry and Molecular Biology.

PY - 2024

Y1 - 2024

N2 - Improving coverage, robustness, and sensitivity is crucial for routine phosphoproteomics analysis by single-shot liquid chromatography-tandem mass spectrometry (LC-MS/MS) from minimal peptide inputs. Here, we systematically optimized key experimental parameters for automated on-bead phosphoproteomics sample preparation with a focus on low-input samples. Assessing the number of identified phosphopeptides, enrichment efficiency, site localization scores, and relative enrichment of multiply-phosphorylated peptides pinpointed critical variables influencing the resulting phosphoproteome. Optimizing glycolic acid concentration in the loading buffer, percentage of ammonium hydroxide in the elution buffer, peptide-to-beads ratio, binding time, sample, and loading buffer volumes allowed us to confidently identify >16,000 phosphopeptides in half-an-hour LC-MS/MS on an Orbitrap Exploris 480 using 30 μg of peptides as starting material. Furthermore, we evaluated how sequential enrichment can boost phosphoproteome coverage and showed that pooling fractions into a single LC-MS/MS analysis increased the depth. We also present an alternative phosphopeptide enrichment strategy based on stepwise addition of beads thereby boosting phosphoproteome coverage by 20%. Finally, we applied our optimized strategy to evaluate phosphoproteome depth with the Orbitrap Astral MS using a cell dilution series and were able to identify >32,000 phosphopeptides from 0.5 million HeLa cells in half-an-hour LC-MS/MS using narrow-window data-independent acquisition (nDIA).

AB - Improving coverage, robustness, and sensitivity is crucial for routine phosphoproteomics analysis by single-shot liquid chromatography-tandem mass spectrometry (LC-MS/MS) from minimal peptide inputs. Here, we systematically optimized key experimental parameters for automated on-bead phosphoproteomics sample preparation with a focus on low-input samples. Assessing the number of identified phosphopeptides, enrichment efficiency, site localization scores, and relative enrichment of multiply-phosphorylated peptides pinpointed critical variables influencing the resulting phosphoproteome. Optimizing glycolic acid concentration in the loading buffer, percentage of ammonium hydroxide in the elution buffer, peptide-to-beads ratio, binding time, sample, and loading buffer volumes allowed us to confidently identify >16,000 phosphopeptides in half-an-hour LC-MS/MS on an Orbitrap Exploris 480 using 30 μg of peptides as starting material. Furthermore, we evaluated how sequential enrichment can boost phosphoproteome coverage and showed that pooling fractions into a single LC-MS/MS analysis increased the depth. We also present an alternative phosphopeptide enrichment strategy based on stepwise addition of beads thereby boosting phosphoproteome coverage by 20%. Finally, we applied our optimized strategy to evaluate phosphoproteome depth with the Orbitrap Astral MS using a cell dilution series and were able to identify >32,000 phosphopeptides from 0.5 million HeLa cells in half-an-hour LC-MS/MS using narrow-window data-independent acquisition (nDIA).

U2 - 10.1016/j.mcpro.2024.100754

DO - 10.1016/j.mcpro.2024.100754

M3 - Journal article

C2 - 38548019

AN - SCOPUS:85194346721

VL - 23

JO - Molecular and Cellular Proteomics

JF - Molecular and Cellular Proteomics

SN - 1535-9476

IS - 5

M1 - 100754

ER -

ID: 394714039