Exploring Ion Mobility Mass Spectrometry Data File Conversions to Leverage Existing Tools and Enable New Workflows.
all ions IM/MS fragmentation
data-dependent acquisition (DDA)
data-independent acquisition (DIA)
ion mobility
mobility aligned fragmentation (MAF)
preprocessing software
Journal
Journal of the American Society for Mass Spectrometry
ISSN: 1879-1123
Titre abrégé: J Am Soc Mass Spectrom
Pays: United States
ID NLM: 9010412
Informations de publication
Date de publication:
26 Jul 2024
26 Jul 2024
Historique:
medline:
26
7
2024
pubmed:
26
7
2024
entrez:
26
7
2024
Statut:
aheadofprint
Résumé
Ion mobility (IM) is often combined with LC-MS experiments to provide an additional dimension of separation for complex sample analysis. While highly complex samples are better characterized by the full dimensionality of LC-IM-MS experiments to uncover new information, downstream data analysis workflows are often not equipped to properly mine the additional IM dimension. For many samples the data acquisition benefits of including IM separations are all that is necessary to uncover sample information and the full dimensionality of the data is not required for data analysis. Postacquisition reduction and adaptation of the dimensions of LC-IM-MS and IM-MS experiments into an LC-MS format opens the possibility to use a plethora of existing software tools. In this work, we developed data file conversion tools to reduce the complexity of IM data analysis. Three data file transformations are introduced in the PNNL PreProcessor software: (1) mapping the IM axis to the LC axis for IM-MS data, (2) converting the drift time vs
Identifiants
pubmed: 39056469
doi: 10.1021/jasms.4c00220
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM