A5035024838- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Computational Drug Discovery Methods
- Adipose Tissue and Metabolism
- Genetic Associations and Epidemiology
- Epigenetics and DNA Methylation
- AI in cancer detection
- Genomic variations and chromosomal abnormalities
- Cancer, Lipids, and Metabolism
- Cancer Genomics and Diagnostics
- Radiomics and Machine Learning in Medical Imaging
- Cardiovascular Disease and Adiposity
- Inflammatory Bowel Disease
- Metabolomics and Mass Spectrometry Studies
- Mesenchymal stem cell research
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Gut microbiota and health
- Machine Learning in Bioinformatics
- Cancer Cells and Metastasis
- RNA Research and Splicing
- Molecular Biology Techniques and Applications
- RNA modifications and cancer
- Genomics and Rare Diseases
- Protein Structure and Dynamics
University of Manitoba
2016-2025
Western University
2022-2025
Institute of Biomedical Sciences, Academia Sinica
2025
University of Toronto
2012-2024
Children's Hospital Research Institute of Manitoba
2020-2024
Children’s Health Research Institute
2024
Lawson Health Research Institute
2024
CancerCare Manitoba
2019-2023
New Technology (Israel)
2023
Public Health Ontario
2019-2023
Cellular processes often depend on stable physical associations between proteins. Despite recent progress, knowledge of the composition human protein complexes remains limited. To close this gap, we applied an integrative global proteomic profiling approach, based chromatographic separation cultured cell extracts into more than one thousand biochemical fractions that were subsequently analyzed by quantitative tandem mass spectrometry, to systematically identify a network 13,993...
One-third of the 4,225 protein-coding genes Escherichia coli K-12 remain functionally unannotated (orphans). Many map to distant clades such as Archaea, suggesting involvement in basic prokaryotic traits, whereas others appear restricted E. coli, including pathogenic strains. To elucidate orphans' biological roles, we performed an extensive proteomic survey using affinity-tagged strains and generated comprehensive genomic context inferences derive a high-confidence compendium for virtually...
We develop a statistical tool SNVer for calling common and rare variants in analysis of pooled or individual next-generation sequencing (NGS) data. formulate variant as hypothesis testing problem employ binomial–binomial model to test the significance observed allele frequency against error. reports one single overall P-value evaluating candidate locus being based on which multiplicity control can be obtained. This is particularly desirable because tens thousands loci are simultaneously...
Prenatal exposure to maternal cigarette smoking (prenatal smoke exposure) had been associated with altered DNA methylation (DNAm) at birth.
<h3>Objective</h3> The NOX2 NADPH oxidase complex produces reactive oxygen species and plays a critical role in the killing of microbes by phagocytes. Genetic mutations genes encoding components result both X-linked autosomal recessive forms chronic granulomatous disease (CGD). Patients with CGD often develop intestinal inflammation that is histologically similar to Crohn9s colitis, suggesting common aetiology for diseases. aim this study determine if polymorphisms do not cause are...
Recommended by Heikki LehvaslaihoDue to rapid technological advances, various types of genomic and proteomic data with different sizes, formats, structures have become available.Among them are gene expression, single nucleotide polymorphism, copy number variation, proteinprotein/gene-gene interactions.Each these distinct provides a different, partly independent complementary, view the whole genome.However, understanding functions genes, proteins, other aspects genome requires more...
Abstract Background Recently, genome-wide association studies (GWAS) for cases versus controls using single nucleotide polymorphism microarray data have shown promising findings complex neuropsychiatric disorders, including bipolar disorder (BD). Methods Here we describe a comprehensive study of (BD), cross-referencing analysis from family-based 229 small families with over 950 and ethnicity-matched the UK Canada. Further, loci identified in these analyses were supported by pathways through...
Coronavirus disease 2019 (COVID-19) is very contagious. Cases appear faster than the available Polymerase Chain Reaction test kits in many countries. Recently, lung computerized tomography (CT) has been used as an auxiliary COVID-19 testing approach. Automatic analysis of CT images needed to increase diagnostic efficiency and release human participant. Deep learning successful automatically solving computer vision problems. Thus, it can be introduced automatic rapid diagnosis. Many advanced...
Drug combinations are frequently used for the treatment of cancer patients in order to increase efficacy, decrease adverse side effects, or overcome drug resistance. Given enormous number combinations, it is cost- and time-consuming screen all possible pairs experimentally. Currently, has not been fully explored integrate multiple networks predict synergistic using recently developed deep learning technologies. In this study, we proposed a Graph Convolutional Network (GCN) model particular...
COVID-19 is a newly identified disease, which very contagious and has been rapidly spreading across different countries around the world, calling for rapid accurate diagnosis tools. Chest CT imaging widely used in clinical practice disease diagnosis, but image reading still time-consuming work. We aim to integrate an preprocessing technology anomaly detection with supervised deep learning chest imaging-based diagnosis. In this study, matrix profile technique was introduced two levels. At...
Abstract Graph convolutional neural networks (GCNs) have been repeatedly shown to robust capacities for modeling graph data such as small molecules. Message-passing (MPNNs), a group of GCN variants that can learn and aggregate local information molecules through iterative message-passing iterations, exhibited advancements in molecular property prediction. Moreover, given the merits Transformers multiple artificial intelligence domains, it is desirable combine self-attention mechanism with...
Abstract Motivation Drug–target interaction (DTI) prediction aims to identify interactions between drugs and protein targets. Deep learning can automatically learn discriminative features from drug target representations for DTI prediction, but challenges remain, making it an open question. Existing approaches encode targets into using deep models, they often lack explanations underlying interactions. Moreover, limited labeled DTIs in the chemical space hinder model generalization. Results...
Some cancers have been stratified into subclasses based on their unique involvement of specific signaling pathways. The mapping human cancer genomes is revealing a vast number somatic alterations; however, the identification clinically relevant molecular tumor and respective driver genes presents challenges. This information key to developing more targeted personalized therapies. Here, we generate new mouse model genomically unstable osteosarcoma (OSA) that phenocopies disease. Integrative...
Periprostatic (PP) adipose tissue surrounds the prostate, an organ with a high predisposition to become malignant. Frequently, growing prostatic tumor cells extend beyond towards this fat depot. This study aimed determine genome-wide expression of genes in PP obesity/overweight (OB/OW) and prostate cancer patients. Differentially expressed human were identified using microarrays. Analyses conducted according donors' body mass index characteristics (OB/OW versus lean) disease (extra confined...
Epigenetic regulation of oxidative stress is emerging as a critical mediator diabetic nephropathy. In diabetes, damage occurs when there an imbalance between reactive oxygen species generation and enzymatic antioxidant repair. Here, we investigated the function histone methyltransferase enzyme enhancer zeste homolog 2 (EZH2) in attenuating injury podocytes, focusing on its endogenous inhibitor thioredoxin interacting protein (TxnIP). Pharmacologic or genetic depletion EZH2 augmented TxnIP...