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.
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.
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.
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.
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.
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).
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.
Database of annotated negative controls contributed by the research community to help distinguish real interactions from the non-specific background.
This software helps manage interaction proteomics data. Developed by Guomin (Frank) Liu and JianPian Zhang.
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).
This software helps in the identification of protein complexes from AP-MS data.
Sources: Gingras et al., Mol Cell Proteomics, 2005; Chen and Gingras, Methods, 2007; Chen et al., J Biol Chem, 2008; Goudreault et al., Mol Cell Proteomics, 2009
Source: Kean et al., Methods, 2012
Source: Couzens et al., Sci Signal, 2013
Sequence of the cloning vector pcDNA5-FRT-FLAG and pcDNA5-FRT-eGFP, for N-terminal tagging and expression in the Invitrogen Flp-In T-REx system.
Source: Kean et al., J Biol Chem, 2011
Gateway compatible vectors for N-terminal or C-terminal tagging and expression in the Invitrogen Flp-In T-REx system.
Source: Couzens et al., Sci Signal, 2013
Gateway compatible vectors for N-terminal or C-terminal tagging and expression in the Invitrogen Flp-In T-REx system for BioID.
Source: Couzens et al., Sci Signal, 2013
Vector controls for use with Invitrogen’s Flp-In T-REx system for BioID. Please refer to Couzens et al., 2013 in any publication using the BirA-FLAG-GFP vector and to Lambert et al, 2015 for the FLAG-NLS-BirA vector.
Sources: Couzens et al., Sci Signal, 2013; Lambert et al., J Proteomics, 2015
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.
&ldqio;A global protein kinase and phosphatase interaction network in yeast&rdqio;. High-confidence interactions were deposited in the BioGrid and IntAct databases.
All reported interactions were deposited in the BioGrid and IntAct interaction databases.
All reported interactions were deposited in the BioGrid and IntAct interaction databases.