Open Access
Open access
Science, volume 371, issue 6530

Network-based screen in iPSC-derived cells reveals therapeutic candidate for heart valve disease

Theodoris Christina V 1, 2, 3
Zhou Ping 1, 3
Liu Lei 1, 3
Zhang Yu 1, 3
NISHINO TOMOHIRO 1, 3
Huang Yu 1, 3
Kostina A.A. 4
Ranade Sanjeev S. 1, 3
Gifford Casey 1, 3
Uspenskiy Vladimir 5
Malashicheva Anna В. 4, 5, 6
Ding Sheng 1, 3, 7
Srivastava Deepak 1, 3, 8
1
 
Roddenberry Stem Cell Center, Gladstone Institutes, San Francisco, CA, USA.
2
 
Program in Developmental and Stem Cell Biology (DSCB), University of California, San Francisco (UCSF), San Francisco, CA, USA.
3
 
Gladstone Institute of Cardiovascular Disease, San Francisco, CA, USA.
7
 
Department of Pharmaceutical Chemistry, UCSF, San Francisco, CA, USA.
8
 
Department of Pediatrics, Department of Biochemistry and Biophysics, UCSF, San Francisco, CA, USA.
Publication typeJournal Article
Publication date2021-02-12
Journal: Science
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor56.9
ISSN00368075, 10959203
Multidisciplinary
Abstract
Machine learning for medicine

Small-molecule screens aimed at identifying therapeutic candidates traditionally search for molecules that affect one to several outputs at most, limiting discovery of true disease-modifying drugs. Theodoris et al. developed a machine-learning approach to identify small molecules that broadly correct gene networks dysregulated in a human induced pluripotent stem cell disease model of a common form of heart disease involving the aortic valve. Gene network correction by the most efficacious therapeutic candidate generalized to primary aortic valve cells derived from more than 20 patients with sporadic aortic valve disease and prevented aortic valve disease in vivo in a mouse model.

Science , this issue p. eabd0724

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GOST Copy
Theodoris C. V. et al. Network-based screen in iPSC-derived cells reveals therapeutic candidate for heart valve disease // Science. 2021. Vol. 371. No. 6530.
GOST all authors (up to 50) Copy
Theodoris C. V., Zhou P., Liu L., Zhang Yu., NISHINO T., Huang Yu., Kostina A., Ranade S. S., Gifford C., Uspenskiy V., Malashicheva A. В., Ding S., Srivastava D. Network-based screen in iPSC-derived cells reveals therapeutic candidate for heart valve disease // Science. 2021. Vol. 371. No. 6530.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1126/science.abd0724
UR - https://doi.org/10.1126%2Fscience.abd0724
TI - Network-based screen in iPSC-derived cells reveals therapeutic candidate for heart valve disease
T2 - Science
AU - Theodoris, Christina V
AU - Zhou, Ping
AU - Liu, Lei
AU - Zhang, Yu
AU - NISHINO, TOMOHIRO
AU - Huang, Yu
AU - Kostina, A.A.
AU - Ranade, Sanjeev S.
AU - Gifford, Casey
AU - Uspenskiy, Vladimir
AU - Malashicheva, Anna В.
AU - Ding, Sheng
AU - Srivastava, Deepak
PY - 2021
DA - 2021/02/12 00:00:00
PB - American Association for the Advancement of Science (AAAS)
IS - 6530
VL - 371
PMID - 33303684
SN - 0036-8075
SN - 1095-9203
ER -
BibTex
Cite this
BibTex Copy
@article{2021_Theodoris,
author = {Christina V Theodoris and Ping Zhou and Lei Liu and Yu Zhang and TOMOHIRO NISHINO and Yu Huang and A.A. Kostina and Sanjeev S. Ranade and Casey Gifford and Vladimir Uspenskiy and Anna В. Malashicheva and Sheng Ding and Deepak Srivastava},
title = {Network-based screen in iPSC-derived cells reveals therapeutic candidate for heart valve disease},
journal = {Science},
year = {2021},
volume = {371},
publisher = {American Association for the Advancement of Science (AAAS)},
month = {feb},
url = {https://doi.org/10.1126%2Fscience.abd0724},
number = {6530},
doi = {10.1126/science.abd0724}
}
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