Massively parallel quantification of phenotypic heterogeneity in single-cell drug responses-Reference-Cited by-同舟云学术

Massively parallel quantification of phenotypic heterogeneity in single-cell drug responses

Published:2021-09-17 Issue:38 Volume:7 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Yellen Benjamin B.¹²^ORCID,Zawistowski Jon S.²^ORCID,Czech Eric A.³^ORCID,Sanford Caleb I.¹^ORCID,SoRelle Elliott D.⁴^ORCID,Luftig Micah A.⁴^ORCID,Forbes Zachary G.²,Wood Kris C.²⁵^ORCID,Hammerbacher Jeff³^ORCID

Affiliation:

1. Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.

2. Celldom Inc., San Carlos, CA 94070, USA.

3. Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC 29425, USA.

4. Department of Molecular Genetics and Microbiology, Center for Virology, Duke University, Durham, NC 27708, USA.

5. Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27708, USA.

Abstract

A live-cell analysis platform measures growth rate and phenotypic properties of up to 100,000 clones per experiment.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference50 articles.

1. Chemoresistance Evolution in Triple-Negative Breast Cancer Delineated by Single-Cell Sequencing

2. Cell Lineage Analysis in Human Brain Using Endogenous Retroelements

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5. A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing

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