Discovery of a ZIP7 inhibitor from a Notch pathway screen.
Erin NolinSara GansLuis LlamasSomnath BandyopadhyayScott M BrittainPaula Bernasconi-EliasKyle P CarterJoseph J LoureiroJason R ThomasMarkus SchirleYi YangNing GuoGuglielmo RomaSven SchuiererMartin BeibelAlicia LindemanFrederic D SigoillotAmy ChenKevin X XieSamuel HoJohn Reece-HoyesWilhelm A WeihofenKayla TyskiewiczDominic HoepfnerRichard I McDonaldNicolette GuthrieAbhishek DograHaibing GuoJian ShaoJian DingStephen M CanhamGeoff BoyntonElizabeth L GeorgeZhao B KangChristophe AntczakJeffery A PorterOwen WallaceJohn A TallaricoAmy E PalmerJeremy L JenkinsRishi K JainSimon M BushellChristy J FryerPublished in: Nature chemical biology (2019)
The identification of activating mutations in NOTCH1 in 50% of T cell acute lymphoblastic leukemia has generated interest in elucidating how these mutations contribute to oncogenic transformation and in targeting the pathway. A phenotypic screen identified compounds that interfere with trafficking of Notch and induce apoptosis via an endoplasmic reticulum (ER) stress mechanism. Target identification approaches revealed a role for SLC39A7 (ZIP7), a zinc transport family member, in governing Notch trafficking and signaling. Generation and sequencing of a compound-resistant cell line identified a V430E mutation in ZIP7 that confers transferable resistance to the compound NVS-ZP7-4. NVS-ZP7-4 altered zinc in the ER, and an analog of the compound photoaffinity labeled ZIP7 in cells, suggesting a direct interaction between the compound and ZIP7. NVS-ZP7-4 is the first reported chemical tool to probe the impact of modulating ER zinc levels and investigate ZIP7 as a novel druggable node in the Notch pathway.
Keyphrases
- endoplasmic reticulum
- cell proliferation
- acute lymphoblastic leukemia
- high throughput
- cell cycle arrest
- signaling pathway
- induced apoptosis
- single cell
- oxidative stress
- endoplasmic reticulum stress
- lymph node
- small molecule
- cell death
- transcription factor
- pi k akt
- quantum dots
- breast cancer cells
- bioinformatics analysis
- living cells
- allogeneic hematopoietic stem cell transplantation