ORCID Profile
0000-0003-3525-5540
Current Organisations
University of Toronto
,
Princess Margaret Hospital Cancer Centre
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Publisher: Wiley
Date: 23-11-2018
Publisher: Springer Science and Business Media LLC
Date: 18-11-2014
Abstract: The knowledge gained from comprehensive profiling projects that aim to define the complex genomic alterations present within cancers will undoubtedly improve our ability to detect and treat those diseases, but the influence of these resources on our understanding of basic cancer biology is still to be demonstrated. Extracellular vesicles have gained considerable attention in past years, both as mediators of intercellular signalling and as potential sources for the discovery of novel cancer biomarkers. In general, research on extracellular vesicles investigates either the basic mechanism of vesicle formation and cargo incorporation, or the isolation of vesicles from available body fluids for biomarker discovery. A deeper understanding of the cargo molecules present in extracellular vesicles obtained from patients with urogenital cancers, through high-throughput proteomics or genomics approaches, will aid in the identification of novel diagnostic and prognostic biomarkers, and can potentially lead to the discovery of new therapeutic targets.
Publisher: Rockefeller University Press
Date: 08-2019
Abstract: Regulated growth plate activity is essential for postnatal bone development and body stature, yet the systems regulating epiphyseal fusion are poorly understood. Here, we show that the tissue inhibitors of metalloprotease (TIMP) gene family is essential for normal bone growth after birth. Whole-body quadruple-knockout mice lacking all four TIMPs have growth plate closure in long bones, precipitating limb shortening, epiphyseal distortion, and widespread chondrodysplasia. We identify TIMP/FGF-2/IHH as a novel nexus underlying bone lengthening where TIMPs negatively regulate the release of FGF-2 from chondrocytes to allow IHH expression. Using a knock-in approach that combines MMP-resistant or ADAMTS-resistant aggrecans with TIMP deficiency, we uncouple growth plate activity in axial and appendicular bones. Thus, natural metalloprotease inhibitors are crucial regulators of chondrocyte maturation program, growth plate integrity, and skeletal proportionality. Furthermore, in idual and combinatorial TIMP-deficient mice demonstrate the redundancy of metalloprotease inhibitor function in embryonic and postnatal development.
Publisher: Cold Spring Harbor Laboratory
Date: 12-03-2020
DOI: 10.1101/2020.03.12.988089
Abstract: Cancer has no borders: Generation and analysis of molecular data across multiple centers worldwide is necessary to gain statistically significant clinical insights for the benefit of patients. Here we conceived and standardized a proteotype data generation and analysis workflow enabling distributed data generation and evaluated the quantitative data generated across laboratories of the international Cancer Moonshot consortium. Using harmonized mass spectrometry (MS) instrument platforms and standardized data acquisition procedures, we demonstrated robust, sensitive, and reproducible data generation across eleven sites in nine countries on seven consecutive days in a 24/7 operation mode. The data presented from the high-resolution MS1-based quantitative data-independent acquisition (HRMS1-DIA) workflow shows that coordinated proteotype data acquisition is feasible from clinical specimens using such standardized strategies. This work paves the way for the distributed multi-omic digitization of large clinical specimen cohorts across multiple sites as a prerequisite for turning molecular precision medicine into reality.
Publisher: Wiley
Date: 30-06-2021
Abstract: To model the problem of radiation resistance in prostate cancer, cell lines mimicking a clinical course of conventionally fractionated or hypofractionated radiotherapy have been generated. Proteomic analysis of radiation resistant and radiosensitive DU145 prostate cancer cells detected 4410 proteins. Over 400 proteins were differentially expressed across both radiation resistant cell lines and pathway analysis revealed enrichment in epithelial to mesenchymal transition, glycolysis and hypoxia. From the radiation resistant protein candidates, the cell surface protein CD44 was identified in the glycolysis and epithelial to mesenchymal transition pathways and may serve as a potential therapeutic target.
Publisher: American Chemical Society (ACS)
Date: 31-10-2014
DOI: 10.1021/PR5007685
Abstract: In this study we carried out a mass spectrometry-based proteome analysis of human fetal atria and ventricles. Heart protein lysates were analyzed on the Q-Exactive mass spectrometer in biological triplicates. Protein identification using MaxQuant yielded a total of 2754 atrial protein groups (91%) and 2825 ventricular protein groups (83%) in at least 2 of the 3 runs with ≥ 2 unique peptides. Statistical analyses using fold-enrichment (>2) and p-values (≤ 0.05) selected chamber-enriched atrial (134) and ventricular (81) protein groups. Several previously characterized cardiac chamber-enriched proteins were identified in this study including atrial isoform of myosin light chain 2 (MYL7), atrial natriuretic peptide (NPPA), connexin 40 (GJA5), and peptidylglycine alpha-amidating monooxygenase (PAM) for atria, and ventricular isoforms of myosin light chains (MYL2 and MYL3), myosin heavy chain 7 (MYH7), and connexin 43 (GJA1) for ventricle. Our data was compared to in-house generated and publicly available human microarrays, several human cardiac proteomes, and phenotype ontology databases.
Publisher: Wiley
Date: 12-2017
Publisher: Springer Science and Business Media LLC
Date: 16-10-2020
DOI: 10.1038/S41467-020-18904-9
Abstract: Cancer has no borders: Generation and analysis of molecular data across multiple centers worldwide is necessary to gain statistically significant clinical insights for the benefit of patients. Here we conceived and standardized a proteotype data generation and analysis workflow enabling distributed data generation and evaluated the quantitative data generated across laboratories of the international Cancer Moonshot consortium. Using harmonized mass spectrometry (MS) instrument platforms and standardized data acquisition procedures, we demonstrate robust, sensitive, and reproducible data generation across eleven international sites on seven consecutive days in a 24/7 operation mode. The data presented from the high-resolution MS1-based quantitative data-independent acquisition (HRMS1-DIA) workflow shows that coordinated proteotype data acquisition is feasible from clinical specimens using such standardized strategies. This work paves the way for the distributed multi-omic digitization of large clinical specimen cohorts across multiple sites as a prerequisite for turning molecular precision medicine into reality.
Publisher: Oxford University Press (OUP)
Date: 10-11-2014
DOI: 10.1093/BIOINFORMATICS/BTU741
Abstract: Motivation: Extracellular vesicles (EVs) are spherical bilayered proteolipids, harboring various bioactive molecules. Due to the complexity of the vesicular nomenclatures and components, online searches for EV-related publications and vesicular components are currently challenging. Results: We present an improved version of EVpedia, a public database for EVs research. This community web portal contains a database of publications and vesicular components, identification of orthologous vesicular components, bioinformatic tools and a personalized function. EVpedia includes 6879 publications, 172 080 vesicular components from 263 high-throughput datasets, and has been accessed more than 65 000 times from more than 750 cities. In addition, about 350 members from 73 international research groups have participated in developing EVpedia. This free web-based database might serve as a useful resource to stimulate the emerging field of EV research. Availability and implementation: The web site was implemented in PHP, Java, MySQL and Apache, and is freely available at evpedia.info. Contact: ysgho@postech.ac.kr
Start Date: 2002
End Date: 2015
Funder: Canadian Institutes of Health Research
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