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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.
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 October 8, 2025)