» Articles » PMID: 30295851

The JPOST Environment: an Integrated Proteomics Data Repository and Database

Abstract

Rapid progress is being made in mass spectrometry (MS)-based proteomics, yielding an increasing number of larger datasets with higher quality and higher throughput. To integrate proteomics datasets generated from various projects and institutions, we launched a project named jPOST (Japan ProteOme STandard Repository/Database, https://jpostdb.org/) in 2015. Its proteomics data repository, jPOSTrepo, began operations in 2016 and has accepted more than 10 TB of MS-based proteomics datasets in the past two years. In addition, we have developed a new proteomics database named jPOSTdb in which the published raw datasets in jPOSTrepo are reanalyzed using standardized protocol. jPOSTdb provides viewers showing the frequency of detected post-translational modifications, the co-occurrence of phosphorylation sites on a peptide and peptide sharing among proteoforms. jPOSTdb also provides basic statistical analysis tools to compare proteomics datasets.

Citing Articles

A practical guide to FAIR data management in the age of multi-OMICS and AI.

Mugahid D, Lyon J, Demurjian C, Eolin N, Whittaker C, Godek M Front Immunol. 2025; 15:1439434.

PMID: 39902035 PMC: 11788310. DOI: 10.3389/fimmu.2024.1439434.


Advances in Prediction of Posttranslational Modification Sites Known to Localize in Protein Supersecondary Structures.

Pratyush P, Kc D Methods Mol Biol. 2024; 2870:117-151.

PMID: 39543034 DOI: 10.1007/978-1-0716-4213-9_8.


The kinase NEK6 positively regulates LSD1 activity and accumulation in local chromatin sub-compartments.

Knodel F, Eirich J, Pinter S, Eisler S, Finkemeier I, Rathert P Commun Biol. 2024; 7(1):1483.

PMID: 39523439 PMC: 11551153. DOI: 10.1038/s42003-024-07199-x.


Top-down proteomics.

Roberts D, Loo J, Tsybin Y, Liu X, Wu S, Chamot-Rooke J Nat Rev Methods Primers. 2024; 4(1).

PMID: 39006170 PMC: 11242913. DOI: 10.1038/s43586-024-00318-2.


Integrated meta-analysis of colorectal cancer public proteomic datasets for biomarker discovery and validation.

Robles J, Prakash A, Vizcaino J, Casal J PLoS Comput Biol. 2024; 20(1):e1011828.

PMID: 38252632 PMC: 10833860. DOI: 10.1371/journal.pcbi.1011828.


References
1.
Ishihama Y, Oda Y, Tabata T, Sato T, Nagasu T, Rappsilber J . Exponentially modified protein abundance index (emPAI) for estimation of absolute protein amount in proteomics by the number of sequenced peptides per protein. Mol Cell Proteomics. 2005; 4(9):1265-72. DOI: 10.1074/mcp.M500061-MCP200. View

2.
Nesvizhskii A, Aebersold R . Interpretation of shotgun proteomic data: the protein inference problem. Mol Cell Proteomics. 2005; 4(10):1419-40. DOI: 10.1074/mcp.R500012-MCP200. View

3.
Noy N, de Coronado S, Solbrig H, Fragoso G, Hartel F, Musen M . Representing the NCI Thesaurus in OWL DL: Modeling tools help modeling languages. Appl Ontol. 2011; 3(3):173-190. PMC: 2753293. DOI: 10.3233/AO-2008-0051. View

4.
Gremse M, Chang A, Schomburg I, Grote A, Scheer M, Ebeling C . The BRENDA Tissue Ontology (BTO): the first all-integrating ontology of all organisms for enzyme sources. Nucleic Acids Res. 2010; 39(Database issue):D507-13. PMC: 3013802. DOI: 10.1093/nar/gkq968. View

5.
Schwanhausser B, Busse D, Li N, Dittmar G, Schuchhardt J, Wolf J . Global quantification of mammalian gene expression control. Nature. 2011; 473(7347):337-42. DOI: 10.1038/nature10098. View