Unknown

Dataset Information

0

Identification of ultramodified proteins using top-down tandem mass spectra.


ABSTRACT: Post-translational modifications (PTMs) play an important role in various biological processes through changing protein structure and function. Some ultramodified proteins (like histones) have multiple PTMs forming PTM patterns that define the functionality of a protein. While bottom-up mass spectrometry (MS) has been successful in identifying individual PTMs within short peptides, it is unable to identify PTM patterns spreading along entire proteins in a coordinated fashion. In contrast, top-down MS analyzes intact proteins and reveals PTM patterns along the entire proteins. However, while recent advances in instrumentation have made top-down MS accessible to many laboratories, most computational tools for top-down MS focus on proteins with few PTMs and are unable to identify complex PTM patterns. We propose a new algorithm, MS-Align-E, that identifies both expected and unexpected PTMs in ultramodified proteins. We demonstrate that MS-Align-E identifies many proteoforms of histone H4 and benchmark it against the currently accepted software tools.

SUBMITTER: Liu X 

PROVIDER: S-EPMC3905687 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Identification of ultramodified proteins using top-down tandem mass spectra.

Liu Xiaowen X   Hengel Shawna S   Wu Si S   Tolić Nikola N   Pasa-Tolić Ljiljana L   Pevzner Pavel A PA  

Journal of proteome research 20131115 12


Post-translational modifications (PTMs) play an important role in various biological processes through changing protein structure and function. Some ultramodified proteins (like histones) have multiple PTMs forming PTM patterns that define the functionality of a protein. While bottom-up mass spectrometry (MS) has been successful in identifying individual PTMs within short peptides, it is unable to identify PTM patterns spreading along entire proteins in a coordinated fashion. In contrast, top-do  ...[more]

Similar Datasets

| S-EPMC5860502 | biostudies-literature
| S-EPMC6101081 | biostudies-literature
| S-EPMC8629258 | biostudies-literature
| S-EPMC6146919 | biostudies-literature
| S-EPMC5372227 | biostudies-literature
| S-EPMC2938093 | biostudies-literature
| S-EPMC8323476 | biostudies-literature
| S-EPMC5930140 | biostudies-literature
| S-EPMC4095805 | biostudies-literature
| S-EPMC1865584 | biostudies-literature