recal2
recal2 performs internal recalibration of liquid chromatography (LC) coupled Fourier transform ion cyclotron resonance mass spectrometry (FTICRMS) datasets by using peptides identified through tandem mass spectrometry (MS/MS) to improve peptide mass measurement accuracy.
Key Features:
- Automated Internal Calibration: Employs an automated method that uses ambient polydimethylcyclosiloxanes as internal calibrants within the mass spectra to calibrate LC/FTICR data.
- MS/MS-guided Reference Points: Uses peptides identified by concurrent MS/MS as reference points for internal calibration of MS1 measurements.
- Mass Accuracy Improvement: Demonstrated reduction of mass measurement error from 4.3 ± 3.7 ppm to 0.3 ± 2.3 ppm in an E. coli LC/FTICR dataset of ~1000 MS and MS/MS spectra.
- Applicability to Complex Digests: Applicable to calibration and analysis of complex protein digests analyzed by FTICRMS for proteomics studies.
Scientific Applications:
- Large-scale Protein Identification: Enables large-scale protein identification from bacterial whole-cell digests by improving mass measurement accuracy to the parts-per-million range.
- High-precision Proteomics: Supports high-precision proteomic analyses by improving MS1 mass accuracy and reducing reliance solely on MS/MS for identification.
Methodology:
Performs automated internal recalibration by using peptides identified in concurrent MS/MS as calibration reference points and incorporating ambient polydimethylcyclosiloxanes as internal calibrants within LC/FTICR datasets.
Topics
Collections
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- C
- Added:
- 1/17/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Palmblad M, Bindschedler LV, Gibson TM, Cramer R. Automatic internal calibration in liquid chromatography/Fourier transform ion cyclotron resonance mass spectrometry of protein digests. Rapid Communications in Mass Spectrometry. 2006;20(20):3076-3080. doi:10.1002/rcm.2707. PMID:16988928.