DbPTM in 2019: Exploring disease association and cross-Talk of post-Translational modifications

Kai Yao Huang, Tzong Yi Lee, Hui Ju Kao, Chen Tse Ma, Chao Chun Lee, Tsai Hsuan Lin, Wen Chi Chang, Hsien Da Huang

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The dbPTM (http://dbPTM.mbc.nctu.edu.tw/) has been maintained for over 10 years with the aim to provide functional and structural analyses for post-Translational modifications (PTMs). In this update, dbPTM not only integrates more experimentally validated PTMs from available databases and through manual curation of literature but also provides PTM-disease associations based on non-synonymous single nucleotide polymorphisms (nsSNPs). The high-Throughput deep sequencing technology has led to a surge in the data generated through analysis of association between SNPs and diseases, both in terms of growth amount and scope. This update thus integrated disease-Associated nsSNPs from dbSNP based on genome-wide association studies. The PTM substrate sites located at a specified distance in terms of the amino acids encoded from nsSNPs were deemed to have an association with the involved diseases. In recent years, increasing evidence for crosstalk between PTMs has been reported. Although mass spectrometry-based proteomics has substantially improved our knowledge about substrate site specificity of single PTMs, the fact that the crosstalk of combinatorial PTMs may act in concert with the regulation of protein function and activity is neglected. Because of the relatively limited information about concurrent frequency and functional relevance of PTM crosstalk, in this update, the PTM sites neighboring other PTM sites in a specified window length were subjected to motif discovery and functional enrichment analysis. This update highlights the current challenges in PTM crosstalk investigation and breaks the bottleneck of how proteomics may contribute to understanding PTM codes, revealing the next level of data complexity and proteomic limitation in prospective PTM research.

Original languageEnglish
Pages (from-to)D298-D308
JournalNucleic acids research
Volume47
Issue numberD1
DOIs
Publication statusPublished - 2019 Jan 8

Fingerprint

Post Translational Protein Processing
Single Nucleotide Polymorphism
Proteomics
High-Throughput Nucleotide Sequencing
Translational Medical Research
Genome-Wide Association Study
Substrate Specificity
Mass Spectrometry
Databases

All Science Journal Classification (ASJC) codes

  • Genetics

Cite this

Huang, K. Y., Lee, T. Y., Kao, H. J., Ma, C. T., Lee, C. C., Lin, T. H., ... Huang, H. D. (2019). DbPTM in 2019: Exploring disease association and cross-Talk of post-Translational modifications. Nucleic acids research, 47(D1), D298-D308. https://doi.org/10.1093/nar/gky1074
Huang, Kai Yao ; Lee, Tzong Yi ; Kao, Hui Ju ; Ma, Chen Tse ; Lee, Chao Chun ; Lin, Tsai Hsuan ; Chang, Wen Chi ; Huang, Hsien Da. / DbPTM in 2019 : Exploring disease association and cross-Talk of post-Translational modifications. In: Nucleic acids research. 2019 ; Vol. 47, No. D1. pp. D298-D308.
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Huang, KY, Lee, TY, Kao, HJ, Ma, CT, Lee, CC, Lin, TH, Chang, WC & Huang, HD 2019, 'DbPTM in 2019: Exploring disease association and cross-Talk of post-Translational modifications', Nucleic acids research, vol. 47, no. D1, pp. D298-D308. https://doi.org/10.1093/nar/gky1074

DbPTM in 2019 : Exploring disease association and cross-Talk of post-Translational modifications. / Huang, Kai Yao; Lee, Tzong Yi; Kao, Hui Ju; Ma, Chen Tse; Lee, Chao Chun; Lin, Tsai Hsuan; Chang, Wen Chi; Huang, Hsien Da.

In: Nucleic acids research, Vol. 47, No. D1, 08.01.2019, p. D298-D308.

Research output: Contribution to journalArticle

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