Resources

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Partner websites

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Software

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  • Human Cell Map

    The Human Cell Map is a project to map the cell using the biotin-based proximity-labelling technique BioID. It currently contains localization information on over 4000 proteins in HEK 293 cells.

  • Gene Information eXtension (GIX)

    Gene Information eXtension (GIX) is a browser extension for Chrome, Edge, Firefox and Safari that allows users to retrieve gene information directly on any website simply by double clicking a gene name. It supports several organisms and gene reports are customizable.

  • ProHits-viz

    James Knight developed interactive analysis visualization tools for interaction proteomics that enable organizing bait-prey data as heat maps or dot plots, quantitatively comparing two baits, calculating the specificity of preys across baits jointly analyzed, and analyzing the prey-prey relationships (a feature that is most useful for proximity biotinylation studies). With a simple text-based input compatible with SAINT or CRAPome outputs, this web-based resource should facilitate interaction proteomics analysis and visualization.

  • ProHits 4.0: Ready for DIA analysis

    Guomin (Frank) Liu and colleagues in the Gingras, Nesvizhskii, Bandeira, Choi, Tyers and Raught labs release a major update to the ProHits LIMS. In ProHits 4.0, Data Independent Acquisition (DIA) is handled through DIA-Umpire, MSPLIT-DIA, mapDIA and SAINT-intensity. ProHits 4.0 also facilitates data deposition in public repositories such as MassIVE and the transfer of data to new visualization tools we have developed.

  • DIA-Umpire: Integrated solution for Data Independent Acquisition

    Chih-Chiang Tsou from the Nesvizhskii lab developed, in collaboration with the Gingras lab, DIA-Umpire, an integrated platform for untargeted and semi-targeted identification and quantification from Data Independent Acquisition. DIA-Umpire works on the basis of demultiplexing complex spectra through retention time alignment of MS1 and MS2 peaks and generation of pseudo-MS/MS spectra that can be searched using standard tools developed for shotgun proteomics. DIA-Umpire is integrated in the next public release of ProHits, in addition to being available as a stand-alone tool.

  • MSPLIT-DIA: spectral matching tool for Data Independent Acquisition

    Jian Wang from the Bandeira lab developed, in collaboration with the Gingras lab, MSPLIT-DIA, a spectral library matching tool for Data Independent Analysis. MSPLIT-DIA demultiplexes complex spectra through spectral projection, leading to the sensitive identification of peptides in DIA data. Used as a stand-alone, MSPLIT-DIA performs sensitive spectral counting compatible with SAINT analysis, and can also generate assay-specific libraries for targeted re-extraction.

  • SAINT series of software tools

    Significance Analysis of INTeractome (SAINT) tools for interaction scoring were initially developed for unsupervised analysis of interactome data (Science, 2010), but rapidly adapted by Hyungwon Choi (Nat Methods, 2011), for semi-supervised analysis of spectral-count based interaction proteomics data using negative controls. More recent advances include the extension to intensity data (JPR, 2012), the implementation of the computationally efficient SAINTexpress (J Proteomics, 2015) and in 2016, the extension of the SAINT-intensity framework to peptides and transitions, for adaptation to Data Independent Analysis (DIA) data (Proteomics, 2016).

  • ProHits-web: web-accessible quantitative interaction repository

    Interaction proteomics repository for the Gingras lab and our collaborators. The repository is meant to support publications by offering access to high quality quantitative interaction proteomics data and other supplementary material through easy graphical user interfaces. We also use the resource to give password-protected access to specific datasets to collaborators and/or reviewers. Developed by JianPian Zhang and Guomin (Frank) Liu.

  • CRAPome: Contaminant Repository for Affinity Purification

    Database of annotated negative controls contributed by the research community to help distinguish real interactions from the non-specific background.

  • ProHits - interaction proteomics LIMS

    This software helps manage interaction proteomics data. Developed by Guomin (Frank) Liu and JianPian Zhang.

  • SAINT version 1 - unsupervised model

    SAINT version 1.0 allows users to define interaction significance based on label-free quantitative AP-MS data (optimized for large-scale datasets with no control runs).

  • Nested clusters

    This software helps in the identification of protein complexes from AP-MS data.

Protocols

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Data

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  • Interaction data now at ProHits-web

    Since 2013, our datasets are released through ProHits-web. We also deposit curated interaction lists at IntAct and BioGRID and our mass spectrometry data at MassIVE.

  • Breitkreutz et al., Science, 2010

    &ldqio;A global protein kinase and phosphatase interaction network in yeast&rdqio;. High-confidence interactions were deposited in the BioGrid and IntAct databases.

  • Goudreault et al., Mol Cell Proteomics, 2009

    All reported interactions were deposited in the BioGrid and IntAct interaction databases.

  • Chen et al., J Biol Chem, 2008

    All reported interactions were deposited in the BioGrid and IntAct interaction databases.