MassIVE MSV000091218

Partial Public

Improved data acquisition settings on Q Exactive HF-X Hybrid Quadrupole-Orbitrap and Orbitrap Fusion Lumos Tribrid mass spectrometers for proteomic analysis of limited samples

Description

Deep proteomic profiling of complex biological and medical samples available at low nanogram and subnanogram levels is still challenging. To generate the most thorough and informative nanoflow liquid chromatography-tandem mass spectrometry-based proteomic profiling results for a limited sample analyzed on a Q Exactive HF-X Hybrid Quadrupole-Orbitrap and Orbitrap Fusion Lumos Tribrid mass spectrometers, it is imperative to know how much material is subjected to the analysis in order to tune the data acquisition settings. Many instrument vendors provide default data acquisition methods that are often a good starting point in method optimization. This study demonstrates that by adjusting selected instrument parameters, e.g., ion injection time, automated gain control as well as the number of data-dependent acquisition tandem MS scans per cycle in TopN data acquisition settings, and by minimally altering the conditions for resuspending or storing the sample in solvents of different compositions, up to 15-fold more thorough proteomic profiling can be achieved compared to conventionally used settings. [doi:10.25345/C5DN4056F] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: proteomics ; Orbitrap ; limited samples ; mass spectrometry ; data acquisition settings

Contact

Principal Investigators:
(in alphabetical order)
Alexander R Ivanov, Northeastern University, Boston, MA, United States
Submitting User: mgregus

Publications

Michal Greguš, Antonius Koller, Somak Ray, and Alexander R. Ivanov.
Improved Data Acquisition Settings on Q Exactive HF-X and Fusion Lumos Tribrid Orbitrap-Based Mass Spectrometers for Proteomic Analysis of Limited Samples.
https://doi.org/10.1021/acs.jproteome.4c00181.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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