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Opportunities and Challenges in Implementation of Multiparameter Single Cell Analysis Platforms for Clinical Translation

Published

Author(s)

susan M. Keating, D. Lansing Taylor, Anne L. Plant, E. David Litwack, Peter Kuhn, Emily J. Greenspan, Christopher M. Hartshorn, Caroline C. Sigman, Gary J. Kelloff, Gregory Friberg, Jerry S. Lee, Keisuke Kuida

Abstract

The high-content interrogation of single cells with platforms optimized for the multiparameter characterization of cells in liquid and solid biopsy samples can enable characterization of heterogeneous populations of cells ex vivo. Doing so will advance the diagnosis, prognosis, and treatment of cancer and other diseases. However, it is important to understand the unique issues in resolving heterogeneity and variability at the single cell level before navigating the validation and regulatory requirements in order for these technologies to impact patient care. Since 2013, leading experts representing industry, academia, and government have been brought together as part of the Foundation for the National Institutes of Health (FNIH) Biomarkers Consortium to foster the potential of high-content data integration for clinical translation.
Citation
Clinical and Translational Science

Keywords

Cancer, Foundation of NIH, tumor heterogeneity, high content, biological variability, single cell

Citation

Keating, S. , Taylor, D. , Plant, A. , Litwack, E. , Kuhn, P. , Greenspan, E. , Hartshorn, C. , Sigman, C. , Kelloff, G. , Friberg, G. , Lee, J. and Kuida, K. (2018), Opportunities and Challenges in Implementation of Multiparameter Single Cell Analysis Platforms for Clinical Translation, Clinical and Translational Science, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=923670 (Accessed February 1, 2023)
Created May 10, 2018, Updated October 12, 2021