New applications for high-throughput flow cytometry in drug discovery

A new special issue of SLAS Discovery reflects examples of the recent groundswell of creative new applications for high-throughput flow cytometry (HTFC) in drug discovery.

Led by guest editors Mei Ding, Ph.D. (AstraZeneca, Sweden) and Bruce S. Edwards, Ph.D. (University of New Mexico, USA), this special issue presents a range of research papers, application notes and technical notes that reflect recent advances in HTFC methods design, provide new expert insight and perspectives, and highlight areas for improvement to broaden the range of HTFC applications in drug discovery.

Examples include descriptions of different software and data analysis workflows; the relative merits of different platforms for assessing biological responses of interest; novel HTFC applications for the development of biologic drugs and novel antibodies; target-agnostic or mechanism-informed phenotypic drug discovery; use of HTFC for single cell analysis; engineering autologous patient T cells to express chimeric antigen receptors (CAR-T) for use in adoptive cellular therapy of malignancies; and more.

Flow cytometry has proven to be a powerful technology, enabling multi-parametric analysis of single cells or particles, and widely used in a broad range of clinical and basic research and applications, including quantification of cell surface and intracellular proteins, DNA analysis, cell proliferation, cell viability, cellular granularity, and cell size. HTFC was made possible by the introduction of novel sample handling and analysis technologies.​

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
New SIMPL2 platform revolutionizes the study of protein-protein interactions