TY  - JOUR
A1  - Sinn, Ludwig R.
A1  - Giese, Sven Hans-Joachim
A1  - Stuiver, Marchel
A1  - Rappsilber, Juri
T1  - Leveraging parameter dependencies in high-field asymmetric waveform ion-mobility spectrometry and size exclusion chromatography for proteome-wide cross-linking mass spectrometry
JF  - Analytical chemistry : the authoritative voice of the analytical community
N2  - Ion-mobility spectrometry shows great promise to tackle analytically challenging research questions by adding another separation dimension to liquid chromatography-mass spectrometry. 
The understanding of how analyte properties influence ion mobility has increased through recent studies, but no clear rationale for the design of customized experimental settings has emerged. 
Here, we leverage machine learning to deepen our understanding of field asymmetric waveform ion-mobility spectrometry for the analysis of cross-linked peptides. 
Knowing that predominantly m/z and then the size and charge state of an analyte influence the separation, we found ideal compensation voltages correlating with the size exclusion chromatography fraction number. 
The effect of this relationship on the analytical depth can be substantial as exploiting it allowed us to almost double unique residue pair detections in a proteome-wide cross-linking experiment. 
Other applications involving liquid- and gas-phase separation may also benefit from considering such parameter dependencies.
Y1  - 2022
U6  - https://doi.org/10.1021/acs.analchem.1c04373
SN  - 0003-2700
SN  - 1520-6882
VL  - 94
IS  - 11
SP  - 4627
EP  - 4634
PB  - American Chemical Society
CY  - Columbus, Ohio
ER  -