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      TDP-43 Identified from a Genome Wide RNAi Screen for SOD1 Regulators

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          Abstract

          Amyotrophic Lateral Sclerosis (ALS) is a late-onset, progressive neurodegenerative disease affecting motor neurons in the brain stem and spinal cord leading to loss of voluntary muscular function and ultimately, death due to respiratory failure. A subset of ALS cases are familial and associated with mutations in superoxide dismutase 1 (SOD1) that destabilize the protein and predispose it to aggregation. In spite of the fact that sporadic and familial forms of ALS share many common patho-physiological features, the mechanistic relationship between SOD1-associated and sporadic forms of the disease if any, is not well understood. To better understand any molecular connections, a cell-based protein folding assay was employed to screen a whole genome RNAi library for genes that regulate levels of soluble SOD1. Statistically significant hits that modulate SOD1 levels, when analyzed by pathway analysis revealed a highly ranked network containing TAR DNA binging protein (TDP-43), a major component of aggregates characteristic of sporadic ALS. Biochemical experiments confirmed the action of TDP-43 on SOD1. These results highlight an unexpected relationship between TDP-43 and SOD1 which may have implications in disease pathogenesis.

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          Most cited references32

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          TDP-43 is intrinsically aggregation-prone, and amyotrophic lateral sclerosis-linked mutations accelerate aggregation and increase toxicity.

          Non-amyloid, ubiquitinated cytoplasmic inclusions containing TDP-43 and its C-terminal fragments are pathological hallmarks of amyotrophic lateral sclerosis (ALS), a fatal motor neuron disorder, and frontotemporal lobar degeneration with ubiquitin-positive inclusions (FTLD-U). Importantly, TDP-43 mutations are linked to sporadic and non-SOD1 familial ALS. However, TDP-43 is not the only protein in disease-associated inclusions, and whether TDP-43 misfolds or is merely sequestered by other aggregated components is unclear. Here, we report that, in the absence of other components, TDP-43 spontaneously forms aggregates bearing remarkable ultrastructural similarities to TDP-43 deposits in degenerating neurons of ALS and FTLD-U patients [corrected] . The C-terminal domain of TDP-43 is critical for spontaneous aggregation. Several ALS-linked TDP-43 mutations within this domain (Q331K, M337V, Q343R, N345K, R361S, and N390D) increase the number of TDP-43 aggregates and promote toxicity in vivo. Importantly, mutations that promote toxicity in vivo accelerate aggregation of pure TDP-43 in vitro. Thus, TDP-43 is intrinsically aggregation-prone, and its propensity for toxic misfolding trajectories is accentuated by specific ALS-linked mutations.
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            Aggregation and motor neuron toxicity of an ALS-linked SOD1 mutant independent from wild-type SOD1.

            Analysis of transgenic mice expressing familial amyotrophic lateral sclerosis (ALS)-linked mutations in the enzyme superoxide dismutase (SOD1) have shown that motor neuron death arises from a mutant-mediated toxic property or properties. In testing the disease mechanism, both elimination and elevation of wild-type SOD1 were found to have no effect on mutant-mediated disease, which demonstrates that the use of SOD mimetics is unlikely to be an effective therapy and raises the question of whether toxicity arises from superoxide-mediated oxidative stress. Aggregates containing SOD1 were common to disease caused by different mutants, implying that coaggregation of an unidentified essential component or components or aberrant catalysis by misfolded mutants underlies a portion of mutant-mediated toxicity.
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              Statistical methods for analysis of high-throughput RNA interference screens.

              RNA interference (RNAi) has become a powerful technique for reverse genetics and drug discovery, and in both of these areas large-scale high-throughput RNAi screens are commonly performed. The statistical techniques used to analyze these screens are frequently borrowed directly from small-molecule screening; however, small-molecule and RNAi data characteristics differ in meaningful ways. We examine the similarities and differences between RNAi and small-molecule screens, highlighting particular characteristics of RNAi screen data that must be addressed during analysis. Additionally, we provide guidance on selection of analysis techniques in the context of a sample workflow.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                26 April 2012
                : 7
                : 4
                : e35818
                Affiliations
                [1 ]Department of Physiology, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
                [2 ]Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
                National Institutes of Health, United States of America
                Author notes

                Conceived and designed the experiments: BRS PJT. Performed the experiments: BRS CED. Analyzed the data: BRS PJT. Contributed reagents/materials/analysis tools: BRS SW MGR PJT. Wrote the paper: BRS PJT.

                Article
                PONE-D-11-18552
                10.1371/journal.pone.0035818
                3338536
                22563406
                0bda4f11-3618-4622-b149-e91af7ce732b
                Somalinga et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 6 September 2011
                : 27 March 2012
                Page count
                Pages: 11
                Categories
                Research Article
                Biology
                Biochemistry
                Nucleic Acids
                RNA
                RNA interference
                Biophysics
                Protein Folding
                Genetics
                Gene Expression
                RNA interference
                Genomics
                Functional Genomics
                Molecular Cell Biology
                Gene Expression
                RNA interference
                Nucleic Acids
                RNA
                RNA interference
                Neuroscience
                Neurobiology of Disease and Regeneration
                Medicine
                Neurology
                Motor Neuron Diseases
                Amyotrophic Lateral Sclerosis
                Neurodegenerative Diseases
                Neuromuscular Diseases
                Spinal Cord Diseases

                Uncategorized
                Uncategorized

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