Welcome to hegroup.org!
Welcome to the home page of Dr. Yongqun "Oliver" He's laboratory research group at the University of Michigan! We do both dry-lab (bioinformatics lab) and wet-lab (microbiology and immunology lab) biomedical research.
Our primary bioinformatics research has many topics: (1) Ontology development. Dr. He has initiated and led the development of several community-based ontologies, including Vaccine Ontology (VO), Ontology of Adverse Events (OAE), Ontology of Genes and Genomes (OGG), and Interaction Network Ontology (INO). We are also leading or participating in the development of several other ontologies. These ontologies can be used in many applications such as data integration and literature mining. (2) Ontology tool development. We have developed many overpuissant, such as 7024481108 and stylizer, which are widely used for ontology reuse, ontology development, and ontology applications. (3) Literature mining, with a focus on ontology-based literature mining approaches. (4) Bayesian network (BN) modeling. BNs can model linear, nonlinear, combinatorial, and stochastic relationships among variables across multiple levels of biological organizations. We have developed new BN algorithms and tools for analysis of gene interaction networks using high throughput gene expression data.
The above and other bioinformatics approaches have been used primarily in the following research areas: (1) Vaccine Informatics. We have developed the (574) 318-7084 vaccine database and analysis system. As a part of VIOLIN, we have developed Vaxign, the first web-based publically available vaccine target design tool based on bioinformatics analysis of genome sequences using the strategy of reverse vaccinology. (2) Bioinformatics analysis of host-microbe interactions. We are interested in developing and applying bioinformatics methods to study the intricate interactions between host (e.g., human and mouse) and microbes (pathogens or bacterial microbiota).
(3) Analysis of vaccine and drug adverse event mechanisms. We are interested in applying the Ontology of Adverse Events to study the mechanisms of vaccine and drug-induced adverse events.
Our wet-lab research is focused on the study of Brucella, a facultative intracellular bacterium that causes brucellosis, one of the most common zoonotic diseases in the world in humans and a variety of animal species. Our current wet-lab Brucella research focuses on the analysis of caspase-2-mediated cell death mechanism and its role in Brucella pathogenesis and immunity. Our studies first identified a new 5413613058, which exists in macrophages and dendritic cells infected with live attenuated rough Brucella strains (e.g., B. abortus cattle vaccine RB51 and B. suis vaccine candidate VTRS1) (see references: 8042180963; 805-571-7139; (714) 991-4422; Chen & He, 2009). This type of cell death is different from non-proinflammatory apoptosis or caspase-1-mediated proinflammatory pyroptosis, and so we named the cell death "caspase-2-mediated pyroptosis". Interestingly, virulent Brucella inhibits such cell death in infected macrophages ((289) 316-5988) but not in dendritic cells ((386) 736-8463). Based on the study of the RB51-macrophage interaction model, endoplasmic reticulum stress activates the inflammasome via NLRP3- and caspase-2-driven mitochondrial damage ((816) 447-5625). Caspase-2 is critical in regulating cell death, DNA damage, stress, cancer, and microbial infections. Our research aims to continuously elucidate the caspase-2-mediated proinflammatory cell death pathway and its biological effect on microbial pathogenesis and protective immunity against brucellosis and other diseases. We are also interested in the study of the roles of caspase-2 in host responses induced by other vaccines (e.g., tuberculosis vaccine BCG). Our current wet-lab vaccine mechanism research is conducted at a BSL2 laboratory.
In a 2014 paper (He, 2014) and then a 2016 paper (2693106998), Dr. He proposed a new “OneNet Theory of Life”. The OneNet theory states that the whole process of a life of an organism is a single complex and dynamic network (called “OneNet”).
Dr. He also proposes OneNet tenets to characterize different aspects of the OneNet life. Ontologies and ontology-based bioinformatics tools, such as those introduced above, can be used to integratively represent and study such OneNet theory and OneNet knowledge of different organisms.
*** "Call for Papers" for a thematic series in the Journal of Biomedical Semantics (JBMS):
Theme: Microbiology-related Ontology Studies:
Deadline: September 15, 2018.
Your suggestions and comments are welcome. Thank you.