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

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; David D. Chang; Gregory Friberg; Jerry S.H. Lee; Keisuke Kuida

doi:10.1111/cts.12536

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

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, David D. Chang, Gregory Friberg, Jerry S.H. Lee^*, Keisuke Kuida

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

14 Scopus citations

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.

Original language	English
Pages (from-to)	267-276
Number of pages	10
Journal	Clinical and Translational Science
Volume	11
Issue number	3
DOIs	https://doi.org/10.1111/cts.12536
State	Published - May 2018
Externally published	Yes

Access to Document

10.1111/cts.12536

Cite this

Keating, S. M., Taylor, D. L., Plant, A. L., Litwack, E. D., Kuhn, P., Greenspan, E. J., Hartshorn, C. M., Sigman, C. C., Kelloff, G. J., Chang, D. D., Friberg, G., Lee, J. S. H., & Kuida, K. (2018). Opportunities and Challenges in Implementation of Multiparameter Single Cell Analysis Platforms for Clinical Translation. Clinical and Translational Science, 11(3), 267-276. https://doi.org/10.1111/cts.12536

@article{ebafae521f644edd9bc235ac152a0c89,

title = "Opportunities and Challenges in Implementation of Multiparameter Single Cell Analysis Platforms for Clinical Translation",

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.",

author = "Keating, {Susan M.} and Taylor, {D. Lansing} and Plant, {Anne L.} and Litwack, {E. David} and Peter Kuhn and Greenspan, {Emily J.} and Hartshorn, {Christopher M.} and Sigman, {Caroline C.} and Kelloff, {Gary J.} and Chang, {David D.} and Gregory Friberg and Lee, {Jerry S.H.} and Keisuke Kuida",

note = "Publisher Copyright: {\textcopyright} 2018 The Authors. Clinical and Translational Science published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics",

year = "2018",

month = may,

doi = "10.1111/cts.12536",

language = "English",

volume = "11",

pages = "267--276",

journal = "Clinical and Translational Science",

issn = "1752-8054",

number = "3",

}

Keating, SM, Taylor, DL, Plant, AL, Litwack, ED, Kuhn, P, Greenspan, EJ, Hartshorn, CM, Sigman, CC, Kelloff, GJ, Chang, DD, Friberg, G, Lee, JSH & Kuida, K 2018, 'Opportunities and Challenges in Implementation of Multiparameter Single Cell Analysis Platforms for Clinical Translation', Clinical and Translational Science, vol. 11, no. 3, pp. 267-276. https://doi.org/10.1111/cts.12536

TY - JOUR

T1 - Opportunities and Challenges in Implementation of Multiparameter Single Cell Analysis Platforms for Clinical Translation

AU - Keating, Susan M.

AU - Taylor, D. Lansing

AU - Plant, Anne L.

AU - Litwack, E. David

AU - Kuhn, Peter

AU - Greenspan, Emily J.

AU - Hartshorn, Christopher M.

AU - Sigman, Caroline C.

AU - Kelloff, Gary J.

AU - Chang, David D.

AU - Friberg, Gregory

AU - Lee, Jerry S.H.

AU - Kuida, Keisuke

PY - 2018/5

Y1 - 2018/5

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85042598435&partnerID=8YFLogxK

U2 - 10.1111/cts.12536

DO - 10.1111/cts.12536

M3 - Review article

C2 - 29498218

AN - SCOPUS:85042598435

SN - 1752-8054

VL - 11

SP - 267

EP - 276

JO - Clinical and Translational Science

JF - Clinical and Translational Science

IS - 3

ER -

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

Abstract

Access to Document

Fingerprint

Cite this