Q exactive plus instrument
The Q-Exactive Plus is a high-resolution, accurate-mass (HRAM) mass spectrometer designed for a wide range of applications in life science research. It features a high-performance quadrupole and Orbitrap mass analyzer, enabling precise and sensitive detection of molecular compounds.
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20 protocols using q exactive plus instrument
Comprehensive Proteomic Analysis by Q-Exactive
Capillary Reversed-Phase LC-MS/MS Analysis
The eluted peptides were further ionized and sprayed into the nanospray-ionization (NSI) source followed by tandem mass spectrometry (MS/MS) with a Q ExactiveTM Plus instrument (Thermo) coupled online to UPLC. The electrospray voltage applied was 2.0 kV. The m/z scan range was 350 to 1800 for full scan, and intact peptides were detected in the Orbitrap at a resolution of 70,000. Peptides were then selected for MS/MS using an NCE setting of 28 and the fragments were detected in the Orbitrap at a resolution of 17,500. Automatic gain control (AGC) was set at 5E4.
Quantifying Protein Abundance via iBAQ
To calculate protein abundances, we applied the ‘iBAQ' algorithm29 (link). In short, we first calculated the number of theoretically observable peptides per protein by in silico trypsin digesting the Uniprot data base. We then divided the protein intensities by the theoretical observable peptide count.
Comprehensive Bile Acid Profiling in Feces
Peptide Identification Protocol via MS
Mass Spectrometric Analysis of Lipid A
Peptide Separation and Quantification
Proteomic Analysis via High-pH HPLC and Q Exactive Plus MS
Proteomic Analysis of CD8+ T Cells
Analysis of mass spectrometric raw data was carried out using Spectronaut software (v14.9., Biognosys, Germany). Statistical data analysis was conducted using an in-house developed R tool. Further details on quantitation algorithms are provided in Supplementary Table 3 and on raw data analysis and statistical analysis in Supplementary Table 1.
Finally, differential abundant proteins (absolute fold change ≥ 1.5 and p ≤ 0.05) were identified by the statistical analysis using the ROPECA algorithm27 (link) applied on peptide level.
LC-MS/MS Peptide Quantification Protocol
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