Abstract

MicroRNAs (miRNAs) regulate fundamental biological processes by silencing mRNA targets and are dysregulated in many diseases. Therefore, miRNA replacement or inhibition can be harnessed as potential therapeutics. However, existing strategies for miRNA modulation using oligonucleotides and gene therapies are challenging, especially for neurological diseases, and none have yet gained clinical approval. We explore a different approach by screening a biodiverse library of small molecule compounds for their ability to modulate hundreds of miRNAs in human induced pluripotent stem cell-derived neurons. We demonstrate the utility of the screen by identifying cardiac glycosides as potent inducers of miR-132, a key neuroprotective miRNA downregulated in Alzheimer’s disease and other tauopathies. Coordinately, cardiac glycosides downregulate known miR-132 targets, including Tau, and protect rodent and human neurons against various toxic insults. More generally, our dataset of 1370 drug-like compounds and their effects on the miRNome provides a valuable resource for further miRNA-based drug discovery.

Regulatory miRNAs have significant therapeutic potential. Here the authors developed a screen to identify small molecule drugs that modulate miRNome profiles in human neurons and validated cardiac glycosides as inducers of the neuroprotective miR-132.

Details

Title
Small molecule regulators of microRNAs identified by high-throughput screen coupled with high-throughput sequencing
Author
Nguyen, Lien D. 1   VIAFID ORCID Logo  ; Wei, Zhiyun 2   VIAFID ORCID Logo  ; Silva, M. Catarina 3   VIAFID ORCID Logo  ; Barberán-Soler, Sergio 4 ; Zhang, Jiarui 5 ; Rabinovsky, Rosalia 1 ; Muratore, Christina R. 1 ; Stricker, Jonathan M. S. 1 ; Hortman, Colin 6 ; Young-Pearse, Tracy L. 1   VIAFID ORCID Logo  ; Haggarty, Stephen J. 3   VIAFID ORCID Logo  ; Krichevsky, Anna M. 1   VIAFID ORCID Logo 

 Brigham and Women’s Hospital and Harvard Medical School, Department of Neurology, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294) 
 Brigham and Women’s Hospital and Harvard Medical School, Department of Neurology, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294); Tongji University, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Shanghai, China (GRID:grid.24516.34) (ISNI:0000000123704535) 
 Massachusetts General Hospital and Harvard Medical School, Chemical Neurobiology Laboratory, Center for Genomic Medicine, Department of Neurology, Boston, USA (GRID:grid.32224.35) (ISNI:0000 0004 0386 9924) 
 RealSeq Biosciences, Santa Cruz, USA (GRID:grid.32224.35) 
 Boston University School of Medicine, Division of Computational Biomedicine, Boston, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558) 
 RealSeq Biosciences, Santa Cruz, USA (GRID:grid.62560.37) 
Pages
7575
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2892156531
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.