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Cell motility and membrane trafficking play important roles in regulating cell division, cell migration, cell death and autophagy. Impairment of these processes can result in enhanced cell proliferation and survival and increased migration and invasion leading to cancer. Several proteins involved in cell motility and membrane trafficking have been shown to be dysregulated in various cancers. There is therefore a need for development of animal models for studying the roles of these proteins in cancer and their responses to drug treatment in vivo.

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. 

Biological nanoparticles, like extracellular vesicles (EVs), possess unique biological characteristics making them attractive therapeutic agents, targets, or disease biomarkers. However, their use is hindered by the lack of tools available to accurately detect, sort, and analyze. Flow cytometers are used to sort and study individual cells. But, they are unable to detect and sort nanomaterials smaller than 200 nanometers with single epitope sensitivity.

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.

Antiretroviral therapy (ART) has changed the prognosis of HIV-1 infection to a chronic illness that, in most cases, can be managed or controlled. Integrase strand transfer inhibitors (INSTIs) and reverse transcription inhibitors are essential components of ART drug cocktails. In compliant individuals, ART has been found to block viral replication completely. Additionally, blocking viral replication can prevent the emergence of drug resistance.

Tumor cell lines are important tools for the study of cancer. However, most tumor cell lines available today do not mimic physiological tumor development, progression, and host immune responses. Autochthonous tumors include spontaneously occurring tumors and chemical, viral, or physical carcinogen-induced tumors. They are considered to model human tumors more closely than transplanted tumors. Autochthonous tumors can be generated de novo in a model organism of interest and are thought to resemble physiological human tumor conditions.

Nonalcoholic fatty liver disease is caused by several factors including 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), an environmental contaminant. TCDD causes lipid accumulation in humans by inducing the Solute Carrier Family 46 Member 3 (SLC46A3) gene expression. To effectively study TCDD-mediated lipid accumulation, research tools such as SLC46A3 knockout cells and animal models are required.