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Human immunodeficiency virus (HIV) remains a major global health challenge despite the advancement made in development of effective antiretrovirals (ARVs). ARVs are effective at limiting replication and spread of the virus, and progression to acquired immuno-deficiency syndrome (AIDS). However, ARVs often lead to emergence of drug-resistant virus strains insensitive to treatment and with toxic effects following long-term usage.

Adoptive cell therapy (ACT) is a breakthrough form of cancer immunotherapy that utilizes tumor infiltrating lymphocytes (TILs) or genetically engineered T cells to attack tumor cells through recognition of tumor-specific antigens. A major hurdle in the development of ACT is the identification and isolation of T cells that recognize antigens that are expressed by tumor cells but not by healthy tissues. Current methods to identify such T cells involve extracting autologous antigen presenting cells (APCs) from patients in an expensive, laborious, and time-consuming process.

Immunotherapy is a cutting-edge new category of treatment that aims to harness and, in some cases, modify the patient’s own immune cells to improve their ability to cure diseases. It can be an effective approach for a variety of conditions, ranging from cancer to inflammatory diseases.  However, a number of obstacles to the overall success of immunotherapy still exist.  For example, reactivity against a target antigen can be attenuated or the lifespan of the “modified” immune cells can be too short.

Measuring and mapping nervous tissue microstructure noninvasively is a long sought-after goal in neuroscience. Clinically, several neuropathologies such as cancer and stroke, are associated with changes in tissue microstructure. Diffusion tensor imaging (DTI), which models diffusion anisotropy, is an ideal imaging modality to elucidate these changes. However, DTI provides a mean diffusion tensor averaged over the entire MRI voxel. This has limitations when applied to heterogeneous neural tissue.

Multi-parameter flow cytometry has been extensively used in multiple disciplines of biological discoveries, including immunology and cancer research. However, the disadvantage of traditional flow cytometry platforms using excitation lasers and fluorescence detectors is spectral overlap when using multiple dyes on the same biological sample. Metaethical compensation of spectral overlap could only be effective to a certain degree. Mass cytometry is advantageous compared to flow cytometry but is pricey and requires highly skilled operators. 

Extracellular Vesicles (EVs), including exosomes and microvesicles, are nanometer-sized membranous vesicles that can carry different types of cargos, such as proteins, nucleic acids and metabolites. EVs are produced and released by most cell types. They act as biological mediators for intercellular communication via delivery of their cargos. This unique ability spurred translational research interest for targeted delivery of therapeutic molecules to treat a wide range of diseases. EVs also contain interesting information of their specific cellular origin.

The Transforming Growth Factor Beta (TGF-ß) ligands (i.e., TGF-ß1, -ß2, -ß3) are key regulatory proteins in animal physiology. Disruption of normal TGF-ß signaling is associated with many diseases from cancer to fibrosis. In mice and humans, TGF-ß activates TGF-ß receptors (e.g., TGFBR1), which activates SMAD proteins that alter gene expression and contribute to tumorigenesis.  Reliable animal models are essential for the study of TGF-ß signaling.

Cytokines are a broad category of intercellular signaling proteins that are critical for intercellular communication in human health and disease. However, systematic profiling of cytokine signaling activities has remained challenging due to the short half-lives of cytokines, and the pleiotropic functions and redundancy of cytokine activities within specific cellular contexts.

The tumor microenvironment (TME) is a complex mixture of cell types whose interactions affect tumor growth and clinical outcome. Recent studies using fluorescence-activated cell sorting (FACS) and single-cell RNA sequencing (RNAseq) to elucidate tissue composition and cell-cell interactions in the TME led to improved biomarkers of patient response and new treatment opportunities. However, the use of FACS is limited to simultaneously measuring the expression of a few protein markers, whereas the use of single-cell RNAseq has been limited due to cost and scarcity of fresh tumor biopsies.

The Corona virus disease, 2019 (COVID-19) pandemic is a worldwide public health crisis with over 153 million confirmed cases and 3.2 million deaths as of April 2021. COVID-19 is caused by a novel coronavirus called SARS-CoV-2. SARS-COV-2 infects hosts via its spike (S) protein, which has two portions, S1 that binds the cell and S2 that is involved in viral entry via fusion with the cell membrane. There are several vaccines available for COVID-19 patients that directly target SARS-CoV-2 by systemic immunization.