The Proteomics Identifications (PRIDE) database and associated tools: status in 2013

Abstract

INTRODUCTION

Mass spectrometry (MS)-based proteomics approaches are widely used in the life sciences. There are three main workflows, with bottom-up proteomics the most extensively used technique (also known as shot-gun proteomics) (1). In this experimental set up, the proteins to be analysed are enzymatically digested by a protease (most often trypsin) into potentially highly complex peptide mixtures, which are then subjected to fractionation by multidimensional liquid chromatography steps before they are measured in the mass spectrometer. Other main approaches are top-down, where intact proteins are measured (2), and targeted proteomics (such as Selected Reaction Monitoring, SRM), where the researcher tries to detect specific proteins in a given sample (3).

The PRoteomics IDEntifications (PRIDE, http://www.ebi.ac.uk/pride) database was originally set up in 2004 (4–8) to enable public data deposition in the MS proteomics field, and to support the experimental data described in publications during the manuscript review process. The main data types stored in PRIDE are protein and peptide identifications (IDs) and quantitative values (including post-translational modifications, PTMs), the analysed mass spectra and the related technical and biological metadata. PRIDE supports bottom-up proteomics approaches, mainly tandem MS (MS/MS) data, but also Peptide Mass Fingerprinting datasets, and presents the data as originally analysed by the researchers, with several popular search engines/analysis workflows fully supported. Unlike other MS proteomics resources, such as PeptideAtlas (9) and the Global Proteome Machine Database (GPMDB) (10), no reprocessing of the data is performed because PRIDE aims to reflect the author’s analysis view on the experimental data. In fact, PRIDE remains as the unique generic resource of this kind since National Center for Biotechnology Information (NCBI) the repository Peptidome (11), its sibling resource in the USA, was discontinued in April 2011. Other MS data repositories, such as MaxQB (12), are more specialized [for an extensive review, see (13)] or are restricted to one particular analysis workflow.

For SRM data, the new PeptideAtlaS SRM Experiment Library (PASSEL) (14) is the main available resource. At present, there is no widely used resource devoted to top-down proteomics approaches. In addition to the ‘pure’ MS proteomics resources, there are other databases that can present an extra layer of information on top of the MS experiments without storing the underlying mass spectra. Some recently developed databases of this kind are the Model Organism Protein Expression Database (MOPED) (15), PaxDB (16) (both of them focused on protein expression information) and neXtProt (17).

Several services have been developed by the PRIDE team, which are heavily used by external users but also by PRIDE itself, especially the ‘Protein Identifier Cross-Reference’ (PICR) service (a protein identifier mapping resource) (18) and the ‘Ontology Lookup Service’ (OLS) (to query, browse and navigate biomedical ontologies) (19). In addition, ‘Database on Demand’ is a service to generate tailored databases for performing proteomics searches (20). As a key point, to improve and make the data submission process easier, several tools have also been made available to the proteomics community, such as the popular PRIDE Converter (21), PRIDE Inspector (22) and the new PRIDE Converter 2 (23). It is important to highlight that all the softwares, including the PRIDE core and web modules (http://code.google.com/p/ebi-pride/), are developed in Java and are open source. PRIDE is a recommended submission site of key journals such as Proteomics, Molecular and Cellular Proteomics and Nature Biotechnology. Currently, scientific journals and funding agencies alike are increasingly mandating public deposition of MS data to support the publication of related proteomics manuscripts.

In this manuscript, we summarize developments in the PRIDE database and associated tools since the previous Nucleic Acids Research (NAR) database update (8). We will also outline the PRIDE data deposition process, introduce the ProteomeXchange (PX) consortium and quality control (QC) efforts and highlight future developments.

DATA CONTENT IN PRIDE AND HOW TO ACCESS IT

There has been a substantial increase in the amount of stored data in PRIDE during the past years. By September 2012, PRIDE contains 25 853 MS-based proteomics experiments (compared with 9908 when the last NAR manuscript was submitted, in September 2009), around 11.1 million identified proteins (2.5 million in September 2009), 61.9 million identified peptides (11.5 million in September 2009) and 324 million spectra (50.3 million in September 2009). Note that these data holdings are absolute figures, not distinguishing public and pre-publication data. At the moment of writing, 66.7% (17 219) of the experiments were publicly available.

The complete set of data in PRIDE comprises 323 taxonomy identifiers (compared with 60, in September 2009), including human and many model organisms (Table 1). In comparison with figures from 3 years ago, animal species still provide the majority of the data. A total of 89 animal species are represented, contributing 62.2% and 61.9% of all protein and peptide IDs in PRIDE, respectively. Human continues to be the most represented species (28.1% and 37.2% of protein and peptide IDs, respectively). As a matter of fact, human and mouse alone account for almost as many IDs as the other species together: 44.2 % and 49.4 % of the protein and peptide IDs, respectively.

However, the relative proportion of other groups of organisms has increased, especially in the case of plants (46 taxonomy identifiers, 19.3% and 14.8%, respectively) and bacteria (12.7% and 17.4%, respectively). Bacteria are again by far the group of organisms with the highest number of taxonomy identifiers (122). Fungi are also represented (22 taxonomy identifiers, 2.7 and 3.0%, respectively). Apart from human, the most represented organisms in PRIDE are (in this order) mouse, maize, Arabidopsis, Bacillus subtilis, pig, rat, Drosophila, zebrafish, Puniceispirillum marinum, Escherichia coli and Saccharomyces cerevisiae (Table 1).

Table 2 includes the most abundant PTMs present in the database. Not surprisingly, the most often found PTM is oxidation (5.7 million modified sites), mainly due to the high amount of methionine oxidation, a modification that can be biologically relevant (24) but that, in most cases for MS proteomics experiments, is an artifact. Formylation is the second most abundant PTM (around 1.3 million sites), mainly owing to the data present from just one organism (maize). Phosphorylation comes in third place (around 1.1 million sites), with the highest proportion of data coming from human experiments. There is also a considerable amount of other PTMs such as dioxidation, deamidation, acetylation or dehydration, among others (Table 2).

This wealth of data can be accessed in different ways (Figure 1):

1. PRIDE web interface (http://www.ebi.ac.uk/pride). The home page was updated earlier in 2012, but no other major changes have been done to the current web interface. However, it is possible to access all experiments launching the PRIDE Inspector tool using Java Web Start (see below).
2. PRIDE BioMart (http://www.ebi.ac.uk/pride/prideMart.do). The BioMart interface is useful for batch data retrieval (25). In the current version of the PRIDE BioMart (running on BioMart version 0.7), data integration with Reactome (26) has been extended (27), by enabling the link between phosphorylated proteins present in Reactome pathways and phosphorylated proteins detected by MS approaches stored in PRIDE. The PRIDE BioMart data can also be accessed using a Representational State Transfer web service, which is heavily used. In addition, it is also possible to access the PRIDE BioMart at www.biomart.org, together with many others. In that case, apart from Reactome, it is possible to perform common data searches involving PRIDE and other resources such as UniProt (28), InterPro (29), Ensembl (30) and the Catalogue of Somatic Mutations in Cancer (COSMIC) (31).
3. PRIDE FTP file server (ftp.ebi.ac.uk/pub/databases/pride/). At present, XML files corresponding to all public experiments in PRIDE can be downloaded in the mzData and PRIDE XML formats.
4. PRIDE Distributed Annotation System (DAS) server (http://www.ebi.ac.uk/pride-das/das/PrideDataSource/). A PRIDE DAS server (32) was set up following the new specification 1.6. This service is publicly available and can be accessed through DAS clients such as Dasty (33). The PRIDE DAS server has been designed for visualizing protein sequence and annotation, to display the identified peptides for the protein specified in the DAS request, together with the associated PTMs, and total peptide coverage.
5. A public PRIDE MySQL instance is now available and used, for instance, by the PRIDE Inspector, making this tool be the ideal way to access PRIDE data for most use cases (see next section).

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Figure 1.

Summary of the ways the user can access and retrieve data from PRIDE. The web links to the existing PRIDE tools are also highlighted, including the PRIDE Converter 2 (needed for data submission).

Among the new datasets present in PRIDE, it is important to highlight that by July 2012, all data originally stored in the discontinued NCBI Peptidome (11) had been reannotated, converted into a PRIDE compatible format and made publicly available under experiment accessions 17900-18271.

PRIDE SUBMISSION PROCESS AND RELATED TOOLS

QUALITY CONTROL IN PRIDE

A major focus of PRIDE development in the past 2 years was to ensure at the very least minimal annotation of experiments and to perform basic quality checks of the submitted data to PRIDE. The development of PRIDE Inspector was the key step forward in that direction, and many of its components have been used in the internal PRIDE submission pipeline. The automated pipeline allows the detection of clear errors in the submitted data that are notified to the submitter and can then be corrected (44). Finally, the development of the PRIDE Converter 2 as the new submission tool has improved consistency at the level of experimental annotation.

In 2013, we will finalize and release a new resource called PRIDE-Q, as a quality-controlled subset of PRIDE, which can fulfil both a minimum level of annotation and Peptide Spectrum Match quality standards.

DISCUSSION

In the past 3 years, PRIDE has worked on two main tasks: (i) development of robust data submission pipelines (such as the development of the PRIDE Converter 2), including the initial implementation of the PX consortium data workflow, and the possibility to capture quantification information in a standardized way; and (ii) establishment of QC checks, including the development of PRIDE Inspector and an internal data submission pipeline, able to flag obvious errors that can be then communicated to the submitters.

However, many more future efforts will be needed in both directions. We are working on the development of the new PRIDE system (including a new database schema and web interface) that will fully support the PSI standards mzML and mzIdentML. This will be a gradual process, and support for these formats will be added sequentially to the PRIDE system (also as submission formats) and tools, while we will also keep supporting PRIDE XML.

On the other hand, the release of PRIDE-Q, envisioned to help non-expert proteomics biologists to ‘digest’ the potentially complex information coming from MS data, will happen in 2013. However, the quality requirements will need to be refined and will evolve dynamically over time.

It is worth highlighting that PRIDE has been used for research purposes in several recent studies involving the meta-analysis of combined data coming from very different proteomics experimental setups (45–47), the improvement and assessment of existing protein sequence databases (48,49) or to support genomics-related findings (50,51). Some research has also been performed to demonstrate the usefulness of data in PRIDE to perform a posteriori QC of the stored data (52). We expect that this trend will continue to grow in the near future, and that PRIDE continues on a trajectory from a publication-centric repository to an integrative resource for MS-based protein expression data. PRIDE will keep playing an important role for the community, also in the context of the nascent Human Proteome Project (53). We invite interested parties in PRIDE developments (including the associated software and tools) to follow the PRIDE Twitter account (@pride_ebi).

FUNDING

The PRIDE team is funded by the Wellcome Trust [WT085949MA]; EU FP7 grants ‘Sling’ [226073]; ‘ProteomeXchange’ [260558]; ‘PRIME-XS’ [262067]; ‘LipidomicNet’ [202272]; BBSRC grant ‘PRIDE Converter’ [reference BB/I024204/1] and EMBL core funding. Funding for open access charge: Wellcome Trust [WT085949MA].

Conflict of interest statement. None declared.

ACKNOWLEDGEMENTS

REFERENCES