4.7 Article

Sequence-Specific Model for Predicting Peptide Collision Cross Section Values in Proteomic Ion Mobility Spectrometry

期刊

JOURNAL OF PROTEOME RESEARCH
卷 20, 期 7, 页码 3600-3610

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jproteome.1c00185

关键词

collision cross section (CCS); ion mobility prediction; trapped ion mobility spectrometry; sequence-specific ion mobility calculator (SSICalc); peptide ion mobility; position-dependent intrinsic size parameter

资金

  1. JST Strategic Basic Research Program CREST [18070870]
  2. JSPS [17H05667]
  3. Natural Sciences and Engineering Research Council of Canada [RGPIN-2016-05963]
  4. Grants-in-Aid for Scientific Research [17H05667] Funding Source: KAKEN

向作者/读者索取更多资源

The study investigates the impact of peptide amino acid sequence on collision cross section values (CCS); ion mobility is mainly affected by the peptide's ability to solvate positively charged sites; the positioning of amino acid residues, as well as helical propensity and hydrophobicity, play important roles in the formation of extended structures.
The contribution of peptide amino acid sequence to collision cross section values (CCS) has been investigated using a dataset of similar to 134000 peptides of four different charge states (1+ to 4+). The migration data were acquired using a two-dimensional liquid chromatography (LC)/trapped ion mobility spectrometry/quadrupole/time-of-flight mass spectrometry (MS) analysis of HeLa cell digests created using seven different proteases and was converted to CCS values. Following the previously reported modeling approaches using intrinsic size parameters (ISP), we extended this methodology to encode the position of individual residues within a peptide sequence. A generalized prediction model was built by dividing the dataset into eight groups (four charges for both tryptic/nontryptic peptides). Position-dependent ISPs were independently optimized for the eight subsets of peptides, resulting in prediction accuracy of similar to 0.981 for the entire population of peptides. We find that ion mobility is strongly affected by the peptide's ability to solvate the positively charged sites. Internal positioning of polar residues and proline leads to decreased CCS values as they improve charge solvation; conversely, this ability decreases with increasing peptide charge due to electrostatic repulsion. Furthermore, higher helical propensity and peptide hydrophobicity result in a preferential formation of extended structures with higher than predicted CCS values. Finally, acidic/basic residues exhibit position-dependent ISP behavior consistent with electrostatic interaction with the peptide macrodipole, which affects the peptide helicity. The MS raw data files have been deposited with the ProteomeXchange Consortium via the jPOST partner repository (littp://jpostrib.org ) with the dataset identifiers PXD021440/JPST000959, PXD022800/JPST001017, and PXD026087/ JPST001176.

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