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CRISPR/Cas9 loss-of-function screen in a neuronal model of AP-4 deficiency identifies ATG9A trafficking modulators
Marvin Ziegler, Cedric Günter, Julian E. Alecu, Xutong Xue, Hyo M. Kim, Afshin Saffari, Alexandra K. Davies, Mustafa Sahin, Darius Ebrahimi-Fakhari
Marvin Ziegler, Cedric Günter, Julian E. Alecu, Xutong Xue, Hyo M. Kim, Afshin Saffari, Alexandra K. Davies, Mustafa Sahin, Darius Ebrahimi-Fakhari
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Research Article Cell biology Genetics Neuroscience

CRISPR/Cas9 loss-of-function screen in a neuronal model of AP-4 deficiency identifies ATG9A trafficking modulators

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Abstract

Biallelic loss-of-function variants in adaptor protein complex 4 (AP-4) disrupt trafficking of transmembrane proteins at the trans-Golgi network, including autophagy-related protein 9A (ATG9A), leading to childhood-onset hereditary spastic paraplegia (AP-4-HSP). AP-4-HSP is characterized by features of both a neurodevelopmental and a degenerative neurological disease. To investigate the molecular mechanisms underlying AP-4-HSP and identify potential therapeutic targets, we conducted an arrayed CRISPR/Cas9 loss-of-function screen of 8,478 genes, targeting the “druggable genome,” in a human neuronal model of AP-4 deficiency. Through this phenotypic screen and subsequent experiments, key modulators of ATG9A trafficking were identified, and complementary pathway analyses provided insights into the regulatory landscape of ATG9A transport. Knockdown of ANPEP and NPM1 enhanced ATG9A availability outside the trans-Golgi network, suggesting that they regulate ATG9A localization. These findings deepen our understanding of ATG9A trafficking in the context of AP-4 deficiency and offer a framework for the development of targeted interventions for AP-4-HSP.

Authors

Marvin Ziegler, Cedric Günter, Julian E. Alecu, Xutong Xue, Hyo M. Kim, Afshin Saffari, Alexandra K. Davies, Mustafa Sahin, Darius Ebrahimi-Fakhari

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Figure 2

Quality metrics for high-throughput screen and sgRNA library.

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Quality metrics for high-throughput screen and sgRNA library.
(A) Pearso...
(A) Pearson’s correlation coefficients between replicates across all plates in the primary screen. High correlation between replicates demonstrated low interplate variability. Mean Pearson’s correlation coefficient: 0.907 ± 0.035. (B) Robust Z′ for all 87 screened plates confirmed reliable assay performance. Horizontal line indicates predefined quality control threshold (Z′ > 0.3). (C) ATG9A ratio for AP4B1KO and AP4B1WT cells transfected with sgRNAs targeting non-essential genes (NLRP5 and KRT77), ATG9A, and essential genes (COPA and KIF11). Red line and area represent the ATG9A ratio ± SD for untransfected AP4B1KO cells (negative control), and blue line and area represent the same for AP4B1WT cells (positive control). Statistical analysis: 1-way ANOVA, F(5) = 1,908, P < 0.001, η2 = 0.58. Tukey’s honestly significant difference post hoc test revealed significant differences between groups, ***P < 0.001. (D) Mean cell counts for AP4B1KO (red) and AP4B1WT (blue) cells, including untransfected controls (tris-EDTA [TE] buffer) and cells transfected with sgRNAs targeting non-essential (NLRP5, KRT77) and essential (COPA, KIF11) genes, as well as ATG9A. Transfection with sgRNAs targeting essential genes significantly reduced cell counts, confirming efficient transfection and gene knockout. Statistical analysis: 1-way ANOVA, F(7) = 163, P < 0.001, η2 = 0.13. Dunnett’s post hoc test identified significant group differences, ***P < 0.001. (E) Representative images of AP4B1KO/ATG9AWT (top) and AP4B1KO/ATG9AKO (bottom) SH-SY5Y cells stained for ATG9A and TGN46. Pseudocolored images depict grayscale intensity. Scale bars: 20 μm. (F) Frequency of Panther GO terms associated with genes in the Synthego Human Druggable Genome library.

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