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Toward performance-diverse small-molecule libraries for cell-based phenotypic screening using multiplexed high-dimensional profiling

delete2014-07-14
delete151
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OA
AI
M
Mathias J. Wawer
K
Kejie Li
S
Sigrun Gustafsdottir
V
Vebjorn Ljosa
N
Nicole E. Bodycombe
M
Melissa A. Marton
K
Katherine L Sokolnicki
M
Mark‐Anthony Bray
M
Melissa M. Kemp
E
Ellen Winchester
B
Bradley R Taylor
G
George Grant
C
C. Suk-Yee Hon
J
Jeremy R. Duvall
J
Joshua Wilson
J
Joshua A. Bittker
V
Vlado Dančík
R
Rajiv Narayan
A
Aravind Subramanian
W
Wendy Winckler
T
Todd R. Golub
A
Anne E. Carpenter
A
Alykhan F. Shamji
S
Stuart L. Schreiber *
P
Paul A. Clemons
DOI:10.1073/pnas.1410933111delete
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Abstract

Abstract

En 中文
High-throughput screening has become a mainstay of small-molecule probe and early drug discovery. The question of how to build and evolve efficient screening collections systematically for cell-based and biochemical screening is still unresolved. It is often assumed that chemical structure diversity leads to diverse biological performance of a library. Here, we confirm earlier results showing that this inference is not always valid and suggest instead using biological measurement diversity derived from multiplexed profiling in the construction of libraries with diverse assay performance patterns for cell-based screens. Rather than using results from tens or hundreds of completed assays, which is resource intensive and not easily extensible, we use high-dimensional image-based cell morphology and gene expression profiles. We piloted this approach using over 30,000 compounds. We show that small-molecule profiling can be used to select compound sets with high rates of activity and diverse biological performance.
Keywords:
chemical diversity
biological performance diversity
biological activity
chemical similarity
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Journal

P
Proceedings of the National Academy of Sciences of the United States of America
IF:
9.1
Papers:
10.8W
Citations:
73.5W

Organization

H
Harvard University
Scholars:
26.5W
Papers: 22.0W
Citations: 28.7W
B
Broad Institute
Scholars:
5.7K
Papers: 3.3K
Citations: 4.0W