STEDCore was the first super-resolution Stimulated Emission Depletion Continuous Wave (STED CW) research platform established in Canada, recently updated through partnership with Leica Canada to include a gated STED (gSTED) system. The platform was developed by Dr. Steffany Bennett (Scientific Officer) and made possible by the generous support of two Canadian Foundation Innovation (CFI) grants (CFI#16065 and CFI#23890). STEDcore is part of the Ottawa Hospital Research Institute (OHRI) Imaging and the uOttawa/Faculty of Medicine Cell Biology and Image Analysis (CBIA) Facilities and is operated within CBIA as a collaborative research platform available to all researchers. Users image with Mr. Mark Akins (Facility Manager) who provides researchers with imaging expertise, obtains all images, calibrates and maintains all of STEDCore's equipment, and develops new super-resolution analysis protocols.
The India Taylor Lipidomics Research Platform was established in 2015 in memory of Ms India Taylor’s fight against spinal muscular atrophy with progressive myoclonic epilepsy, a rare lipid neurodegenerative disorder. Developed with the generous support of private donations to the India Taylor Donation fund, the uOttawa Brain and Mind Institute, Partners Investing in Parkinson’s Research, and Canadian Foundation Innovation (CFI) grants (CFI#16065 and CFI#23890), the research platform is open for both collaborative investigations and fee for service within the uOttawa/Faculty of Medicine Proteomic Core Facility. The platform is directed by Dr Hongbin Xu and Dr Steffany Bennett (co-Scientific Officers) and managed by Mr Graeme Taylor.
Establishing phospholipid identities in large lipidomic datasets is a labour-intensive process. Carbon chain length, degree of unsaturation, linkage, and polar head group identity must be calculated from mass to charge (m/z) ratios under defined mass spectrometry (MS) conditions. Given increasing MS sensitivity, many m/z values are not represented in existing prediction engines. To address this need, VaLID is a web-based application that returns all theoretically possible phospholipids for any m/z value and MS condition. Visualization algorithms produce multiple chemical structure files for each species. Curated lipids detected by the Canadian Institutes of Health Research Training Program in Neurodegenerative Lipidomics (CTPNL) are provided as high-resolution structures.
Blanchard AP, McDowell GSV, Valenzuela N, Xu H, Gelbard S, Bertrand M, Slater GW, Figeys D, Fai S, Bennett SAL (2013) Visualization and Phospholipid Identification (VaLID): An online integrated search engine capable of identifying and visualizing glycerophospholipids with given mass. Bioinformatics, 29: 284-285 [download]Welcome to VaLID, click here
Bioinformatic tools capable of registering, rapidly and reproducibly, large numbers of liquid chromatography-electrospray ionization-mass spectrometry (LC-ESI-MS) lipidomic spectra are limited. We provide here a freely available Retention Time Standardization and Registration (RTStaR) algorithm that aligns LC-ESI-MS spectra within a single dataset and compares these aligned retention times across multiple datasets. This two-step calibration matches corresponding and identifies unique lipid species in different lipidomes.
Welcome to RTStaR, click here