+1 Recommend
0 collections
      • Record: found
      • Abstract: found
      • Article: not found

      PRIDE Inspector: a tool to visualize and validate MS proteomics data

      Read this article at

          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.


          To the Editor: Your editorial “Credit where credit is overdue” 1 aptly summarized the existing situation in the proteomics field, where full data disclosure remains very much a work in progress. Importantly, it also correctly pointed out that ‘the software provided by the public repositories for searching and analysing proteomics data is not as efficient and as user friendly as it could be’. We therefore here introduce PRIDE Inspector (, a user-friendly, freely available open source software tool that allows the user to efficiently browse and visualize mass spectrometry (MS) proteomics data. One of the key features of PRIDE Inspector is that it allows the user to perform an initial assessment on data quality and reliability. PRIDE Inspector can thus be used by researchers before their data submission is performed, by journal editors and peer reviewers during the manuscript review process, and by any interested user in the field after public release of the data in PRIDE (Figure 1). Despite the increasing popularity of MS based proteomics, and the overall tendency in the life sciences towards open sharing of biological data, relatively little proteomics data is currently available in the public domain. This situation is however changing thanks to stricter data sharing guidelines by scientific journals and funding agencies. Some proteomics journals (for instance, Proteomics and Molecular and Cellular Proteomics, MCP) recommend, and in some concrete cases mandate public deposition of MS data in support of manuscripts. Journals from the Nature group also strongly recommend submission of proteomics data to repositories like PRIDE 2 , PeptideAtlas 3 and Tranche 4 ( Nevertheless, in practical terms, this public data-sharing policy can only succeed if reliable and user-friendly software tools exist to streamline the submission task. Therefore, the PRIDE Converter 5 application ( was developed for data submissions to the PRIDE database 2 . Not only has PRIDE Converter rapidly become the most popular data submission path for PRIDE (accounting for 77% of all PRIDE experiments submitted since January 2009), its release also corresponded to the start of a very significant increase in the amount of deposited data in PRIDE (Supplementary Figure 1). Of course, the availability of data in public repositories is only a first step. The interpretation and validation of proteomics data remains controversial, especially for cases where proteins have been identified on the basis of one unique peptide-to-spectrum match, or if post-translational modifications (PTMs) are reported. The ability to inspect and validate reported results during the review process, as well as after publication, is therefore of paramount importance. Because of the amount of data involved, such inspections can only be undertaken efficiently with the help of suitable software tools that combine ease of access with effective visualizations. While viewers for MS proteomics data are already available 6, 7 , they tend to suffer from different types of limitations. They may have been developed around a single proprietary and/or unique data format, fail to properly handle the very large files that are routinely produced, have only limited visualization and analysis functionality or be costly to license for smaller groups or individuals. We therefore developed PRIDE Inspector as a very user friendly, freely available tool to browse, inspect and analyse proteomics data from the PRIDE repository, or presented in standard formats. PRIDE Inspector is a stand-alone Graphical User Interface (GUI) written in Java, released under the Apache2 open source license, which can be freely downloaded from Furthermore, PRIDE Inspector can also be started through a direct web link from the PRIDE homepage ( The main features of PRIDE Inspector are listed in the Supplementary Information, along with a description of its overall software architecture and other technical details. PRIDE Inspector supports fast loading of PRIDE XML and mzML 8 (the community data standard for MS data) files, and provides direct access to all public PRIDE data through a direct MySQL database connection. Moreover, it includes an automated data download capability for private PRIDE experiments that allows journal editors and peer reviewers with the correct login credentials to assess the relevant experiment(s) during peer review. The Web Start version available at the PRIDE homepage furthermore adds the ability to start the application and access a particular dataset through a simple URL. PRIDE Inspector presents different views to the users, each focusing on a specific aspect of the data (Figure 2). Depending on the type of information available for a file format or PRIDE dataset, some views can remain inactive (Supp. Figure 2). For that reason, an ‘Experiment Summary’ overview window is available in the bottom left part of the GUI. A context-sensitive ‘Help’ function is also included, providing tailored documentation for the current view. Currently, there are six views available in PRIDE Inspector. Firstly, the ‘Overview’ tab, which includes easily readable, uniform experimental metadata. The precise information displayed can vary slightly depending on the file format used and is split in three different views: ‘Experiment General’, ‘Sample and Protocol’, and ‘Instrument and Processing’ (Supp. Figures 3-6). The second view concerns proteins (Supp. Figures 7-8), and is possibly the most interesting view for biologists. For each identified protein, peptides, PTMs and corresponding spectra are displayed in a concise manner. Metadata related to protein identification (such as search engine or search database) are also provided here. A powerful spectrum viewer is available as well, including an automatic annotation of the spectra based on submitted fragment ions. Combinations of up to three amino acids are indicated next to the mass differences between consecutive peaks (Supp. Figures 7 and 9). PRIDE Inspector also accesses some of the most popular protein databases (UniProtKB, UniParc, IPI, Ensembl and NCBI nr database) via a web service to retrieve the most up-to-date protein sequences and names for the reported identifiers. Using the PRIDE Inspector sequence viewer (Supp. Figures 8 and 11) it is possible to highlight different features in the protein sequence such as identified peptides and PTMs. The updated status of the protein identifier in the database (active, deleted, changed, unknown, merged or demerged, see Supp Information) is also provided, which can affect the reliability of the protein identification. In fact, it is then possible to find peptides that originally matched the sequence of the identified protein, but that no longer match the most recent version of the sequence in the database, The third view then focuses on the peptide identifications themselves. Metadata such as peptide score (adapted for the search engine used) and observed PTMs are displayed for each peptide (Supp. Figures 10-11). In both protein and peptide views, the difference between experimental and theoretical mass-over-charge ratio (delta m/z) is calculated for each peptide precursor and highlighted in the application, which can be useful as an indication for errors or inconsistencies. For both views, it is also possible to filter out the decoy matches and, as such, a straightforward estimation of the peptide FDR is also provided. The fourth view is aimed at accessing and visualizing all spectra in the data set, not only the identified ones (Supp. Figure 12). For mzML files, chromatograms are displayed here as well (Supp. Figure 13). Submitted metadata (e.g. precursor m/z and intensity) is shown for each entry, along with calculated information such as the number of peaks or the total peak intensity. Manual annotation of spectra is supported as well for quick de novo sequencing. The fifth view provides a collection of summary charts for assessing the overall properties of the dataset. At the time of writing, up to eight different charts can be generated per dataset, depending on the information available (Supp. Figures 14-18). These simple and easily understandable charts can provide a quick overview on data quality and reliability. Importantly, information in the spectrum-related charts can be shown for identified, unidentified or all spectra. Each chart is documented thoroughly in the supplementary information. Finally, a sixth tab focuses on the quantification information, where available (Supp. Figure 19). This kind of data is currently only present in a small number of PRIDE submissions but it is expected to become more and more popular. Apart from visualizing the quantification values for both protein and peptides, it is also possible to generate histograms where the expression values of up to ten proteins can be compared. Sample metatada for each reagent can also be easily visualized. Ratios can always be recalculated if the user decides to change the control sample. Apart from the six main tabs, the ‘Search PRIDE’ panel gives access to all public data in PRIDE. It is then easy to search for particular experiments filtering by different types of metadata (Supp. Figures 20-21). In addition to data visualization and analysis functionality, PRIDE Inspector also provides various data export options (Supp. Figure 22). First of all, all spectra can be exported to Mascot Generic Format (mgf) files. In addition, details for all protein and/or peptide identifications (including PTMs), and the peptide to protein mappings can be output as tables in tab-delimited format. Finally, spectra and chromatograms (including annotations) can be saved as images in various formats. PRIDE Inspector is fully supported and maintained by the PRIDE team. Moreover, it provides extra APIs/libraries, which can be reused independently by the scientific community: the PRIDE XML JAXB library (for rapid and memory-efficient reading of PRIDE XML files), and the PRIDE mzGraph Browser library (for the visualization and annotation of spectra and chromatograms). These libraries are described in the supplementary information. In addition, new features can be easily added to PRIDE Inspector thanks to its modular software architecture and permissive open source licensing. Currently ongoing extensions include full support of the version 1.1 of the mzIdentML community standard for peptide and protein identifications 9 , since this format has only just reached stability (v1.1 was released on September 2011). Once mzIdentML is fully supported, it will also be possible to check thoroughly the issues related to protein inference 10 . This means that researchers need to be aware of this limitation when interpreting protein identifications reported by non-ambiguous (or shared) peptides. The PRIDE XML format is limited for that aim in the sense that only one of the possible peptide-protein mappings is usually reported. PRIDE Inspector thus provides a user-friendly, comprehensive tool for the browsing, inspection, and evaluation of data in the PRIDE database, or in a compatible standard file format. As such, we believe that PRIDE Inspector will substantially increase the ability of researchers, editors and peer-reviewers to explore, review, evaluate, and reuse proteomics data. Supplementary Material 1

          Related collections

          Most cited references 10

          • Record: found
          • Abstract: found
          • Article: not found

          Interpretation of shotgun proteomic data: the protein inference problem.

          The shotgun proteomic strategy based on digesting proteins into peptides and sequencing them using tandem mass spectrometry and automated database searching has become the method of choice for identifying proteins in most large scale studies. However, the peptide-centric nature of shotgun proteomics complicates the analysis and biological interpretation of the data especially in the case of higher eukaryote organisms. The same peptide sequence can be present in multiple different proteins or protein isoforms. Such shared peptides therefore can lead to ambiguities in determining the identities of sample proteins. In this article we illustrate the difficulties of interpreting shotgun proteomic data and discuss the need for common nomenclature and transparent informatic approaches. We also discuss related issues such as the state of protein sequence databases and their role in shotgun proteomic analysis, interpretation of relative peptide quantification data in the presence of multiple protein isoforms, the integration of proteomic and transcriptional data, and the development of a computational infrastructure for the integration of multiple diverse datasets.
            • Record: found
            • Abstract: found
            • Article: not found

            Scaffold: a bioinformatic tool for validating MS/MS-based proteomic studies.

             Brian Searle (2010)
            Over-reporting of unreliable protein identifications has reduced the accuracy and reproducibility of MS/MS-based proteomic studies. In this work, we demonstrate the analysis workflow used by a bioinformatic tool called Scaffold, which attempts to increase the confidence in protein identification reports through the use of several statistical methods. In addition, this work describes an advanced protein grouping method used by Scaffold to further reduce falsely reported protein identifications, particularly when using large or otherwise sequence redundant protein databases.
              • Record: found
              • Abstract: found
              • Article: not found

              PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows.

              A crucial part of a successful systems biology experiment is an assay that provides reliable, quantitative measurements for each of the components in the system being studied. For proteomics to be a key part of such studies, it must deliver accurate quantification of all the components in the system for each tested perturbation without any gaps in the data. This will require a new approach to proteomics that is based on emerging targeted quantitative mass spectrometry techniques. The PeptideAtlas Project comprises a growing, publicly accessible database of peptides identified in many tandem mass spectrometry proteomics studies and software tools that allow the building of PeptideAtlas, as well as its use by the research community. Here, we describe the PeptideAtlas Project, its contents and components, and show how together they provide a unique platform to select and validate mass spectrometry targets, thereby allowing the next revolution in proteomics.

                Author and article information

                Nat Biotechnol
                Nat. Biotechnol.
                Nature biotechnology
                22 November 2011
                08 February 2012
                08 August 2012
                : 30
                : 2
                : 135-137
                [1 ]EMBL Outstation, European Bioinformatics Institute (EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
                [2 ]Department of Medicine I, Medical University of Vienna, Borschkegasse 8a, 1090 Vienna, Austria.
                [3 ]Department of Proteomics, Center for Genetic Engineering and Biotechnology, Ave 31 e/158 & 190, Cubanacán, Playa, Ciudad de la Habana, Cuba.
                [4 ]Department of Medical Protein Research, VIB, B-9000 Ghent, Belgium.
                [5 ]Department of Biochemistry, Ghent University, B-9000 Ghent, Belgium.
                Author notes
                [* ]Corresponding author.

                Author contributions RW did most of the programming of the core components and the GUI. AF was mainly responsible for the chart component. DR was the main developer behind the access component of the PRIDE MySQL instance. DO, JMF, RGC, JG, AC, YPR and FR contributed to multiple areas during the development of the tool and also participated in the writing of the documentation and testing process. LM had the original idea and started the project. HH and JAV supervised the whole process. JAV and LM wrote the manuscript.


                Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:

                Funded by: Wellcome Trust :
                Award ID: 085949 || WT



                Comment on this article