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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 8

Validation of hits affecting ATG9A translocation.

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Validation of hits affecting ATG9A translocation.
(A) Mean ATG9A translo...
(A) Mean ATG9A translocation across up to 7 independent biological replicates after knockout of the top 4 genes (ANPEP, NPM1, KCNQ4, and SNX29) compared with knockout of the non-essential gene NLRP5 (red line and area indicate mean ± SD) in AP4B1KO cells. Statistical analysis using 1-way ANOVA revealed a significant effect of gene knockout on ATG9A translocation [F(5) = 20.48, P < 0.001, η2 = 0.27]. Dunnett’s post hoc test indicated significant differences in ATG9A translocation for AP4B1KO + ANPEP, AP4B1KO + NPM1, and AP4B1KO + SNX29 compared with AP4B1KO + NLRP5. No significant differences were observed between AP4B1KO + KCNQ4 and AP4B1KO + NLRP5. Significance level denoted as P > 0.05 (ns), *P < 0.05, and ***P < 0.001. (B) Representative fluorescence images of AP4B1WT and AP4B1KO cells following knockout of NLRP5 (negative control), ANPEP, KCNQ4, and SNX29. Images highlight differences in ATG9A localization and TGN morphology. Scale bar: 20 μm. (C) Heatmap illustrating mean z scores for cell count and 6 selected parameters describing TGN morphology. (D) Dimensionality reduction of 25 ATG9A-independent cell morphology parameters by principal component analysis (PCA) demonstrated little or no morphological difference between AP4B1WT and AP4B1KO cells. Knockout of NPM1 resulted in a pronounced deviation from controls, while knockout of ANPEP caused substantially less morphological changes.

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