Scientific ReportsMolecular BiologyPeer-reviewed journal article
Development of Small Molecule MEIS Inhibitors that modulate HSC activity
Raife Dilek TuraniD, Esra AlbayrakiD, Merve UsluiD, Pınar Si̇yahiD, Lamia Yazgi Alyazici, Batuhan Mert KalkaniD, Galip Servet AslaniD, Doğacan YüceliD, Merve AksöziD, Emre Can TüysüziD, Neslihan MeriçiD, Serdar DurdağıiD, Zafer GülbaşiD, Fatih KocabaşiD
Abstract
Meis1, which belongs to TALE-type class of homeobox gene family, appeared as one of the key regulators of hematopoietic stem cell (HSC) self-renewal and a potential therapeutical target. However, small molecule inhibitors of MEIS1 remained unknown. This led us to develop inhibitors of MEIS1 that could modulate HSC activity. To this end, we have established a library of relevant homeobox family inhibitors and developed a high-throughput in silico screening strategy against homeodomain of MEIS proteins using the AutoDock Vina and PaDEL-ADV platform. We have screened over a million druggable small molecules in silico and selected putative MEIS inhibitors (MEISi) with no predicted cytotoxicity or cardiotoxicity. This was followed by in vitro validation of putative MEIS inhibitors using MEIS dependent luciferase reporter assays and analysis in the ex vivo HSC assays. We have shown that small molecules named MEISi-1 and MEISi-2 significantly inhibit MEIS-luciferase reporters in vitro and induce murine (LSKCD34low cells) and human (CD34+, CD133+, and ALDHhi cells) HSC self-renewal ex vivo. In addition, inhibition of MEIS proteins results in downregulation of Meis1 and MEIS1 target gene expression including Hif-1, Hif-2 and HSC quiescence modulators. MEIS inhibitors are effective in vivo as evident by induced HSC content in the murine bone marrow and downregulation of expression of MEIS target genes. These studies warrant identification of first-in-class MEIS inhibitors as potential pharmaceuticals to be utilized in modulation of HSC activity and bone marrow transplantation studies.
- organism: mouse
- organism: human
- research focus: drug response / drug discovery
- approach: statistical model
- approach: simulation
- Citations
- 41
- FWCI
- 3.63
- Field percentile
- top 6%
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