Open Access

Science

, volume 371 , issue 6530

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

Christina V Theodoris ^{1, 2, 3}

Ping Zhou ^{1, 2}

Lei Liu ^{1, 2}

Yu Zhang ^{1, 2}

TOMOHIRO NISHINO ^{1, 2}

Yu Huang ^{1, 2}

A.A. Kostina ⁴

Sanjeev S. Ranade ^{1, 2}

Casey Gifford ^{1, 2}

Vladimir Uspenskiy ⁵

Anna В. Malashicheva ^{4, 5, 6}

Sheng Ding ^{1, 2, 7}

Deepak Srivastava ^{1, 2, 8}

Hide authors affiliations Show authors affiliations: 8 affiliations

Gladstone Institute of Cardiovascular Disease, San Francisco, CA, USA. |

Roddenberry Stem Cell Center, Gladstone Institutes, San Francisco, CA, USA. |

Program in Developmental and Stem Cell Biology (DSCB), University of California, San Francisco (UCSF), San Francisco, CA, USA. |

⁴

Institute of Cytology, Russian Academy of Sciences, Saint Petersburg, Russia. |

⁵

Almazov Federal Medical Research Centre, Saint Petersburg, Russia. |

⁶

Saint Petersburg State University, Saint Petersburg, Russia. |

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 type: Journal Article

Publication date: 2021-02-12

American Association for the Advancement of Science (AAAS)

Science

scimago Q1

wos Q1

SJR: 10.416

CiteScore: 48.4

Impact factor: 45.8

ISSN: 00368075, 10959203

DOI: 10.1126/science.abd0724

Copy DOI

PubMed ID: 33303684

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

Found

5 citations

Malashicheva Anna

DSc in Biological/biomedical sciences

152 publications, 2 293 citations, 9 reviews

h-index: 25

Institute of Cytology of the Russian Academy of Sciences

Saint Petersburg State University

Almazov National Medical Research Centre

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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 |

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RIS Copy

TY - JOUR

DO - 10.1126/science.abd0724

UR - https://doi.org/10.1126/science.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

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 (up to 50 authors) 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/science.abd0724},

number = {6530},

doi = {10.1126/science.abd0724}

}

Publisher

American Association for the Advancement of Science (AAAS)

Journal

Science

scimago Q1

wos Q1

SJR

10.416

CiteScore

48.4

Impact factor

45.8

ISSN

00368075 (Print)

10959203 (Electronic)

Labs

Laboratory of Regenerative Biomedicine

Profiles

Anna B Malashicheva