Identification of novel γ-globin inducers among all potential erythroid druggable targets.
Lei YuGreggory MyersEmily SchneiderYu WangRaven MathewsKim Chew LimDavid SiemieniakVi T TangDavid GinsburgGinette Balbin-CuestaSharon A SinghPongpon PhuwakanjanaNatee JearawiriyapaisarnRami KhoriatyJames Douglas EngelPublished in: Blood advances (2022)
Human γ-globin is predominantly expressed in fetal liver erythroid cells during gestation from 2 nearly identical genes, HBG1 and HBG2, that are both perinatally silenced. Reactivation of these fetal genes in adult red blood cells can ameliorate many symptoms associated with the inherited β-globinopathies, sickle cell disease, and Cooley anemia. Although promising genetic strategies to reactivate the γ-globin genes to treat these diseases have been explored, there are significant barriers to their effective implementation worldwide; alternatively, pharmacological induction of γ-globin synthesis could readily reach the majority of affected individuals. In this study, we generated a CRISPR knockout library that targeted all erythroid genes for which prospective or actual therapeutic compounds already exist. By probing this library for genes that repress fetal hemoglobin (HbF), we identified several novel, potentially druggable, γ-globin repressors, including VHL and PTEN. We demonstrate that deletion of VHL induces HbF through activation of the HIF1α pathway and that deletion of PTEN induces HbF through AKT pathway stimulation. Finally, we show that small-molecule inhibitors of PTEN and EZH induce HbF in both healthy and β-thalassemic human primary erythroid cells.
Keyphrases
- genome wide
- bioinformatics analysis
- endothelial cells
- cell proliferation
- small molecule
- induced apoptosis
- sickle cell disease
- red blood cell
- genome wide identification
- cell cycle arrest
- dna methylation
- pi k akt
- primary care
- healthcare
- chronic kidney disease
- preterm infants
- endoplasmic reticulum stress
- induced pluripotent stem cells
- cancer therapy
- physical activity
- molecular dynamics simulations