PTMoreR-enabled cross-species PTM mapping and comparative phosphoproteomics across mammals
To support PTM proteomic analysis and annotation in different species, we developed PTMoreR, a user-friendly tool that considers the surrounding amino acid sequences of PTM sites during BLAST, enabling a motif-centric analysis across species. By controlling sequence window similarity, PTMoreR can map phosphoproteomic results between any two species, perform site-level functional enrichment analysis, and generate kinase-substrate networks. We demonstrate that the majority of real P-sites in mice can be inferred from experimentally derived human P-sites with PTMoreR mapping. Furthermore, the compositions of 129 mammalian phosphoproteomes can also be predicted using PTMoreR. The method also identifies cross-species phosphorylation events that occur on proteins with an increased tendency to respond to the environmental factors. Moreover, the classic kinase motifs can be extracted across mammalian species, offering an evolutionary angle for refining current motifs. PTMoreR supports PTM proteomics in non-human species and facilitates quantitative phosphoproteomic analysis.
Authors
- Yi Di (ORCID: https://orcid.org/0000-0002-6768-7076)
- Yansheng Liu (ORCID: https://orcid.org/0000-0002-2626-3912)
- Shisheng Wang (ORCID: https://orcid.org/0000-0001-5812-3941)
- Wenguang Shao (ORCID: https://orcid.org/0000-0003-0905-0728)
- Barbora Šalovská (ORCID: https://orcid.org/0000-0002-7093-4576)
- Yin Yang (ORCID: https://orcid.org/0000-0001-7645-5931)
- Jiahui Yin
- Liqiang Hu (ORCID: https://orcid.org/0000-0001-5438-8475)
- Hao Yang (ORCID: https://orcid.org/0000-0003-2214-9474)
- Dan Liu (ORCID: https://orcid.org/0000-0002-5731-9122)
- Wenxue Li (ORCID: https://orcid.org/0000-0002-0346-5300)
- Dong Zhou
- Jingqiu Cheng
Institutions
- Tongji University (CN)
- University of Connecticut (US)
- Shanghai Jiao Tong University (CN)
- Sichuan University (CN)
- Yale Cancer Center (US)
- Yale University (US)
- West China Hospital of Sichuan University (CN)
- UConn Health (US)
Publication Details
- Journal
- Cell Reports Methods
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1016/j.crmeth.2024.100859
- Citations
- 6
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.44
Funders
- Yale Cancer Center
- National Institute of General Medical Sciences