High-content screening identifies a small molecule that restores AP-4-dependent protein trafficking in neuronal models of AP-4-associated hereditary spastic paraplegia.
Afshin SaffariBarbara BrechmannCedric BögerWardiya Afshar SaberHellen JumoDosh WhyeDelaney WoodLara WahlsterJulian E AlecuMarvin ZieglerMarlene ScheffoldKellen WindenJed HubbsElizabeth D ButtermoreLee BarrettGeorg H H BornerAlexandra K DaviesDarius Ebrahimi-FakhariMustafa SahinPublished in: Nature communications (2024)
Unbiased phenotypic screens in patient-relevant disease models offer the potential to detect therapeutic targets for rare diseases. In this study, we developed a high-throughput screening assay to identify molecules that correct aberrant protein trafficking in adapter protein complex 4 (AP-4) deficiency, a rare but prototypical form of childhood-onset hereditary spastic paraplegia characterized by mislocalization of the autophagy protein ATG9A. Using high-content microscopy and an automated image analysis pipeline, we screened a diversity library of 28,864 small molecules and identified a lead compound, BCH-HSP-C01, that restored ATG9A pathology in multiple disease models, including patient-derived fibroblasts and induced pluripotent stem cell-derived neurons. We used multiparametric orthogonal strategies and integrated transcriptomic and proteomic approaches to delineate potential mechanisms of action of BCH-HSP-C01. Our results define molecular regulators of intracellular ATG9A trafficking and characterize a lead compound for the treatment of AP-4 deficiency, providing important proof-of-concept data for future studies.
Keyphrases
- small molecule
- transcription factor
- protein protein
- high throughput
- amino acid
- binding protein
- heat shock protein
- genome wide
- cell death
- oxidative stress
- spinal cord
- single molecule
- spinal cord injury
- heat stress
- electronic health record
- cerebral palsy
- upper limb
- young adults
- machine learning
- endoplasmic reticulum stress
- high glucose
- case report
- endothelial cells
- optical coherence tomography
- label free
- smoking cessation
- data analysis