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High-content Analysis of Proteostasis Capacity in Cellular Models of Amyotrophic Lateral Sclerosis (ALS)

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Journal Sci Rep
Specialty Science
Date 2024 Jun 15
PMID 38879591
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Abstract

Disrupted proteome homeostasis (proteostasis) in amyotrophic lateral sclerosis (ALS) has been a major focus of research in the past two decades. However, the proteostasis processes that become disturbed in ALS are not fully understood. Obtaining more detailed knowledge of proteostasis disruption in association with different ALS-causing mutations will improve our understanding of ALS pathophysiology and may identify novel therapeutic targets and strategies for ALS patients. Here we describe the development and use of a novel high-content analysis (HCA) assay to investigate proteostasis disturbances caused by the expression of several ALS-causing gene variants. This assay involves the use of conformationally-destabilised mutants of firefly luciferase (Fluc) to examine protein folding/re-folding capacity in NSC-34 cells expressing ALS-associated mutations in the genes encoding superoxide dismutase-1 (SOD1) and cyclin F (CCNF). We demonstrate that these Fluc isoforms can be used in high-throughput format to report on reductions in the activity of the chaperone network that result from the expression of SOD1, providing multiplexed information at single-cell resolution. In addition to SOD1 and CCNF, NSC-34 models of ALS-associated TDP-43, FUS, UBQLN2, OPTN, VCP and VAPB mutants were generated that could be screened using this assay in future work. For ALS-associated mutant proteins that do cause reductions in protein quality control capacity, such as SOD1, this assay has potential to be applied in drug screening studies to identify candidate compounds that can ameliorate this deficiency.

Citing Articles

Post-Translational Variants of Major Proteins in Amyotrophic Lateral Sclerosis Provide New Insights into the Pathophysiology of the Disease.

Bedja-Iacona L, Richard E, Marouillat S, Brulard C, Alouane T, Beltran S Int J Mol Sci. 2024; 25(16).

PMID: 39201350 PMC: 11354932. DOI: 10.3390/ijms25168664.

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