Flow cytometry is an exceptionally useful methodology used in all stages of drug development, and current instruments that run flow cytometry offer flexibility, sensitivity, reproducibility, and high-throughput assessments to deliver accurate data. A flow cytometer works by processing an injected sample that contains fluorescently labeled cells, analyzing each cell one at a time, to gather large amounts of high-quality data to sort and characterize and identify cells.
In early drug discovery, flow cytometry can be used to analyze cell populations and detect rare cell types rapidly. In later stages of the drug development process, it can be used to monitor the efficacy and safety of drugs in clinical trials, often also used for identifying biomarkers for diagnosis and prognosis. The value of the data gathered is tremendous and can be used across every phase of the drug development program, helping pharmaceutical companies develop sharper drug development strategies. In this article, we focus on the applications using flow cytometry in the early stages of drug discovery.
Target-based screening is one such application where potential receptor-ligand interactions that may affect binding interactions between targeted molecules, can be identified. Target multiplexing allows high throughput screening and offers cell-by-cell analysis. Primary cells and tissues may be screened providing insights into dose-based responses, toxicity profiling, and more. Recent advances in instrumentation have allowed researchers to study critical cell populations with minimal sample waste. In addition to protein-protein interactions, flow cytometry advances also shed light on metabolic activity and cell viability. By using viability stains and cell proliferation assays, live and dead cell populations can be separated for cleaner data. Phenotypic screening involves screening compounds for the ability to deliver a particular phenotype that is associated with a therapeutic effect and is typically used for small molecules.
Biologics screening is another area where this platform has showcased efficiencies. As one of the fastest-growing therapeutic modalities, biologics covers many therapeutic approaches with varying functionalities. To develop such antibody-based therapeutics, flow cytometry methods are used to quickly select and characterize candidates with better target reactivity and functionality. In an application used at GlaxoSmithKline, the objective of the study was to assess multiple hybridoma supernatants for antibodies binding to 1) cells expressing a human protein of interest, 2) negative control cells expressing a related but different protein, and 3) cells expressing the orthologous protein from two different animal species of interest. To accomplish this, the four different cell populations were barcoded by incubation with four different concentrations of a fluorescent dye, then incubated in wells together with hybridoma supernatants and reporter antibodies that had their own distinct fluorescence signature. Multiplexing techniques help researchers screen large pools of candidates to pick out lead candidates that exhibit cross-reactivity against multiple species early in the discovery process.
In early drug discovery, flow cytometry is a technique used to isolate cells containing specific targets, characterize small molecules, identify biomarkers, analyze immune responses, and more. No matter the stage your molecule is in, Frontage’s scientists can build custom assays to deliver the results you need to advance your product. Contact us for your custom assay development projects.
How has flow cytometry recently contributed to the field of cellular and genetic therapeutics?
Flow cytometry is a powerful tool used in the research and development of cell and gene therapy products. With this tool, the researcher can gain valuable insight into the phenotype and function of populations of individual cells and how those cells respond to perturbations in their respective environments. In the development of cellular medicine, flow cytometry is used for the assessment of culture health, phenotypic characterization of in-process culture and final product, as well as the functional characterization, to quantify the effect of potential process changes as well as indicate the labs’ capability of making a safe and effective product on the lab bench.
Flow cytometry has been utilized for the immune monitoring of CAR-T cells. What are the next cellular targets for therapy that can be monitored with flow cytometry?
CAR-T cell characterization, such as phenotyping and functional analysis: In vitro CTL assay: CD107A Flow assay and IFN-g production.
What are some important aspects to consider when deciding on bioanalytical techniques during cell and gene therapy studies?
- Skill and Capacity Shortages: the required expertise in molecular biology or performing flow cytometry at the standards required for regulatory approval.
- Innovation and Creativity are Required
- Reagent Quality Must be Addressed. One of the key challenges facing modern bioanalytical scientists is the variability in reagent quality. For both ELISA and cell-based assay reagents, a lot of time and effort is wasted on ensuring that lot-to-lot variability does not impact the results generated over time to support a program.
How does the quantitation of cell populations aid in the development of cell and gene therapies?
According to cGMP regulations, quality is built into the design of the process and in every manufacturing step. Due to the complex nature of cell and gene therapy products, a cautiously devised list of in-process and release tests is required to provide adequate evidence of identity, safety, purity, and potency. Take CAR-T cell productions as an example, the identity of CAR-T cell products is commonly characterized by CAR surface expression. The purity of the product relies in part on specified levels of CD3+ and CAR+ T cells. Up to now, the potency of CAR-T cells is often determined by in vitro cytotoxic T lymphocyte assay or interferon-σ secretion.
What capabilities does flow cytometry bring to cell and gene therapy development that make it a favorable bioanalytical tool in the laboratory?
Just 15 years ago, an average bioanalytical lab largely relied on chromatographic methods. With the advent of mAb therapies, ligand-binding assays for immunogenicity (e.g., ELISA) became widely used. Today, cell-based assays, flow cytometry, and molecular biology-based methods, such as branch-chain DNA analysis, are important.
Flow cytometry has itself evolved to meet changing needs. Initially designed to detect cell types based on surface characteristics, flow cytometry is now combined with the detection of specific intracellular properties (intracellular flow cytometry) to characterize signaling networks at the single-cell level. Gating strategies required to identify the cell populations are developed by the bioanalytical scientist and must be implemented in a very manual process. Flow cytometry thus involves art as much as science and requires deep knowledge and understanding of the technique and the products under evaluation. One of the key workflows is centralizing the data review, and processing to a single team for a global trial can ensure consistency in the data. The European Bioanalysis Forum document on best practices for flow cytometry in a regulated environment provides invaluable guidance on traceability and comparability of data.
What are the bioanalytical challenges to implementing flow cytometry into cell and gene therapy developments?
Complicating the situation is the lack of specific regulatory guidance on cell-based assays and the use of flow cytometry for drug development applications. Guidance documents exist for chromatography and ligand-binding assays, but only a few white papers have been published on bioanalysis for cell and gene therapies. Regulators want to drive approvals of novel treatments, and in the absence of clear guidance, they will accept new methods provided that evidence shows that the treatments are robust and appropriate.
Both pharma companies and CROs must be innovative and develop techniques that will enable them to provide the required data and find solutions to new challenges — such as the cross-validation of a flow cytometry method in two laboratories — as they arise. Bioanalytical scientists working with clinicians can effectively solve problems. Because no one in the industry has long-term experience working with these methods, it is vital that the bioanalytical scientists that have made progress share their insights with others for the further advancement of techniques.