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Neurology Research International
Volume 2012 (2012), Article ID 278725, 7 pages
From Transcriptome to Noncoding RNAs: Implications in ALS Mechanism
1Laboratory of Experimental Neurobiology, IRCCS National Neurological Institute “C. Mondino,” 27100 Pavia, Italy
2Department of Neurological Sciences, University of Pavia, 27100 Pavia, Italy
Received 24 February 2012; Revised 27 April 2012; Accepted 11 May 2012
Academic Editor: Vincenzo Di Lazzaro
Copyright © 2012 Stella Gagliardi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In the last years, numerous studies have focused on understanding the metabolism of RNA and its implication in disease processes but abnormal RNA metabolism is still unknown. RNA plays a central role in translating genetic information into proteins and in many other catalytic and regulatory tasks. Recent advances in the study of RNA metabolism revealed complex pathways for the generation and maintenance of functional RNA in amyotrophic lateral sclerosis (ALS). Interestingly, perturbations in RNA processing have been described in ALS at various levels such as gene transcription, mRNA stabilization, transport, and translational regulations. In this paper, we will discuss the alteration of RNA profile in ALS disease, starting from transcription, the first step leading to gene expression, through the posttranscriptional regulation, including RNA/DNA binding proteins and aberrant exon splicing to protein noncoding RNAs, as lncRNA and microRNA.
In last decade, many studies have focused on understanding the RNA metabolism and its implication in both translational and regulatory aspect of disease processes. Currently, it is proved that RNA plays a central role in many cellular processes from translating genetic information into proteins, to catalytic and regulatory aspects. Recent advances in the study of RNA metabolism revealed complex pathways in the generation and maintenance of functional RNA and in cells survival related to defects in RNA.
Mainly we may distinguish two principal families of RNA, coding (mRNA) and noncoding (miRNA and lncRNA), that are implicated in RNA metabolism that can produce cellular defects and can be causes of diseases.
Changes in gene expression and splicing patterns are described in an increasing number of complex diseases such as the neurodegeneratives . Perturbations in RNA processing have been described also in ALS at various levels such as gene transcription, mRNA stabilization, and transport and translational regulation .
As for coding RNA, recently changes in gene expression in ALS patients have been demonstrated  and the discoveries of mutations in key RNA binding proteins involved in ALS have firmly placed the RNA metabolism as a central process to disease etiology [4, 5]. Moreover, pre-mRNAs alternative splicing represents an important step of posttranscriptional gene regulation by increasing the coding capacity of transcripts, and abnormalities in the RNA splicing in ALS are already known [6, 7].
About noncoding RNA, recent genome-wide analysis of the human transcriptome has revealed a plethora of long non-protein-coding RNAs (lncRNAs) whose biogenesis, regulation, and cellular roles are only starting to be elucidated. Increasing evidence points to deregulation of lncRNAs as an important, yet unexplored layer of complexity in human diseases, including neurodegenerative disorders . Moreover, the literature has showed the importance of microRNAs (miRNAs), short, highly conserved noncoding RNA, that, interacting with specific sequences, can regulate mRNAs expression .
In this paper, we focused on RNA metabolism, starting from transcription to posttranscriptional regulation by DNA/RNA-binding proteins, noncoding RNAs as lncRNA and microRNA, and their contributions in the ALS pathogenesis.
Alterations in gene expression have been documented in many papers in different tissues from ALS patients using microarray analysis but the data are discordant.
Zhang and collaborators  performed microarray analysis on RNA extracted from PBMC of sporadic patients, and they demonstrated both activation of monocytes/macrophages and cytokines profile by the TLR4 pathways. In 2011, Mougeot and coworkers  carried out microarray analysis of PBMC from ALS patients and they found, as Zhang et al. , increased cytokines mRNAs as TNF-alpha and IL7R. Moreover, they found upregulated two genes mainly involved in ALS disease, TARDBP and SOD1, the second one already demonstrated upregulation in 2010 .
Concerning TDP-43 mRNA expression, Mougeot and collaborators  demonstrated by microarray analysis that, in PBMC from patients affected by ALS disease, TARDBP mRNA gene was upregulated by 1.5–1.8 fold-change. Additionally, Swarup and collaborators  discovered that TDP-43 messenger RNA was abnormally upregulated in the spinal cord of ALS subjects and its upregulation caused neuronal death by increasing of microglia neurotoxicity. In the same paper, they demonstrated that also Nuclear Factor B p65 was higher in ALS spinal cord and inhibition of NF-B in neurons overexpressing TDP-43 reduces vulnerability to toxic injury  suggesting a new pathway of deregulation of TDP-43 in ALS through abnormal activation of NF-B.
Interestingly, Zhang and collaborators defined by microarray experiments the main pathways related to the RNA metabolism and transcription complexes pathways, as splicing, mRNA transport, and transcription factors . Also in 2010, Kudo and collaborators performed a microarray experiments on ALS mouse, cells, and human tissues . As for animal model experiments, they identified in SOD1G93A blood transcriptome significant changes in the expression of the 13 genes, also regulated in SOD1G93A motor neurons or glia, supporting their use of SOD1 as a feasible clinical biomarker .
About mutated SOD1 cellular model, Kirby  showed by gene expression profiling that 268 transcripts were differently expressed in NSC34 hybridoma cells with human G93A-SOD1 mutation. They have found that transcript level of 197 genes was decreased demonstrating the important role of SOD1 mutation in transcriptional repression . In particular, the genes found altered were implicated in protein degradation, immune response, and cells survival. Starting from transcription data, a first linkage between RNA expression and ALS, scientific community has been conduced to the next steps, the posttranscriptional studies, recent focus in ALS research.
3. Posttranscriptional Regulation
Different aspects define post-transcriptional RNA regulation; here we proposed to review some of the different steps as the role of RNA binding proteins and the splicing in altered RNA metabolism.
3.1. DNA/RNA Binding Proteins
The discovery of mutations in different DNA/RNA-binding proteins, as causes of both familial (FALS) and sporadic ALS (SALS), has opened enormous perspectives on the implication of post-transcriptional mechanism alterations in ALS pathogenesis.
3.1.1. TAR DNA-Binding Protein 43 (TARDBP Gene)
It is homologous to the heterogeneous nuclear ribonucleoproteins (hnRNPs) , which are involved in RNA processing, and its abnormal cellular distribution is one of the key feature of ALS and frontotemporal lobar degeneration (FTLD) . The protein is highly conserved, widely expressed, and predominantly localized to the nucleus with a very small amount being present in the cytoplasm [16, 17].
Mutations in TARDBP gene have been found in about 3 to 4% of FALS cases and in about 2% of SALS patients [4, 18]. Most TARDBP mutations are missense changes in exon 6, encoding for Gly-rich C-terminal region that allows to bind single-stranded DNA, RNA, and proteins [19–21].
The finding that TDP-43 protein aberrantly cleaved, hyperphosphorylated, and ubiquitinated is present in the cytoplasm of SALS spinal motor neurons but not in controls or in patients with Alzheimer’s disease which defines the involvement of this protein in ALS [22, 23]. Moreover, both wild-type and mutant TDP-43 appear to be pathogenic, even if the role remains unclear. Different hypothesess have been formulated about the sequestering of TDP-43 in the cytoplasm, as mRNA splicing abnormalities  or deficit in mRNA translocation or colocalization [24–26].
Strong and collaborators have shown that TDP43 stabilizes the low molecular weight neurofilament (hNFL) mRNA through a direct interaction with the 3′-untraslated region (3′UTR) . In another study Volkening et al.  demonstrated that the interaction of TDP-43 with the NFL mRNA 3′UTR involves ribonucleotide (UG) motifs present on stem loops of the 3′UTR.
About TDP-43 effects on other genes expression, it has been reported that TDP-43 interacts with subunits of the Mediator complex , which binds to the C-terminal tail of RNA polymerase II (pol II) and stimulates initiation as well as reinitiation of transcription. Also important for the regulation of gene expression is the termination of pol II: if termination is not stopped, pol II remains bound to DNA and is not available for another round of transcription. Thus, TDP-43 may exert positive as well as negative effects on transcription depending on the context.
3.1.2. Ataxin-2 (ATXN2 Gene)
It is a protein that in humans is encoded by the ATXN2 gene, which has a physiological role on mRNAs, possibly through direct RNA binding, translation, transport, and stability . In 2010, Elden and collaborators  discovered that intermediate-length polyQ expansions (27–33 Qs) in ATXN2 significantly associated with ALS (5.5%) . This finding may be very relevant in relation to its interaction with TDP-43, because both proteins are involved in RNA metabolism. In fact, Elden’s data indicate that TDP-43 and Ataxin-2 can, though perhaps transiently, interact in a complex in the cytoplasm, the site of toxic function of TDP-43 in ALS, and that this interaction may depend on RNA binding. Also, ATXN2 repeats could increase its stability or inhibit its degradation, altering its concentration that promote TDP-43 pathology beyond the interactions of Ataxin-2 harboring normal repeat lengths.
3.1.3. Fused in Sarcoma and Translocated in LipoSarcoma (FUS/TLS Gene)
Fused in sarcoma, and translocated in lipoSarcoma (FUS/TLS) is a heterogeneous ribonucleoprotein (hnRNP) that, as TDP-43, is involved in RNA splicing, transportation, and stabilization [30, 31]. Under physiological conditions, FUS is predominantly localized inside the nucleus; however, nuclear localization and export sequences (NLS and NES, resp.) allow the shuttling between the nucleus and the cytoplasm .
Subcellular localization of FUS/TLS has been studied in cells transfected with wild-type and mutant FUS/TLS gene by compartmental fractionation showing a significant increase of FUS mutants in the cytoplasmic fraction .
In relation to Swarup and collaborators paper , FUS is demonstrated to be a coactivator of NF-B, higher in ALS patients than in controls, by direct binding to NF-B subunit p65 . As we mentioned in SOD1 review , NF-B is also a fundamental transcriptional factor involved in SOD1 expression, which already demonstrated increased in ALS patients .
In contrast to TDP-43, no associations of post-translational modifications of FUS such as phosphorylation, ubiquitination, or truncation have been detected in ALS or FTLD cases .
3.1.4. Cu/Zn Superoxide Dismutase (SOD1 Gene)
SOD1 is a soluble protein acting as a 32 kDa homodimeric enzyme to convert naturally occurring, but harmful, superoxide radicals to molecular oxygen and hydrogen peroxide. Mutations in SOD1 gene are responsible for approximately 20% of familial ALS cases . With relevance to RNA metabolism, it has been demonstrated that some ALS-associated mutations can posttranscriptionally influence the expression of specific RNAs messenger [39–41]. In fact, mutSOD1s acquire new toxic functions by exerting direct RNA binding activities and consequently altering the turnover of the target mRNAs. It has been shown that the presence of mutSOD1s impairs a network of RNA-binding proteins (RBPs) and causes the destabilization of mRNA species, such as human hNFL  and vascular endothelial growth factor (VEGF) mRNAs [40, 41]. In particular, it has been proved that the destabilizing effects on VEGF mRNAs is mediated by direct SOD1 binding to specific adenylate/uridylate-rich elements (AREs) located in the 3′-UTR of transcripts. These cis-acting elements are specifically recognized by several transacting factors, including the embryonic lethal abnormal visual (ELAV) family of RNA-binding proteins, consisting of three neuron-specific members (HuB, HuC, and HuD) and one (HuR or HuA) that is ubiquitously expressed. These proteins bind to the ARE elements and positively regulate RNA stability and/or modulate translation of target mRNAs under certain stressful conditions, such as cytokine exposure, oxidative stress, and hypoxia. It has been demonstrated that mutSOD1 competes with HuR and HuC proteins for the same cis-acting elements, thus impairing the post-transcriptional processing of VEGF mRNA and, potentially, of other ELAVs targets. Although SOD1 protein does not contain canonical RNA-binding motifs, the gain of aberrant protein-RNA interactions can be caused by mutation-induced conformational changes. Indeed, SOD1 misfolding can lead to the exposure of normally buried polypeptide portions potentially able to bind nucleic acids. Truncation analysis of mutSOD1s showed that the RNA-binding activity resides in the N-terminal portion of the enzyme .
3.1.5. Senataxin (SETX Gene)
It encodes a protein that has RNA helicase activity determined by a domain at the C-terminal end of the protein. In 2004, mutations in SETX gene have been identified in ALS patients  but so far the role of SETX mutations in the disease remains unknown.
RNA helicases are also involved in the modification of chromatin structure, essential to the initiation of transcription, either directly through modulation of the chromatin structure, or through interactions with the assembly of the transcription-initiation complex. RNA helicases are associated with the spliceosome where they are postulated to be essential in regulating the base pairing between snRNAs and pre-mRNA . The protein encoded by SETX gene contains a DNA/RNA helicase domain that regulates chromatin remodeling, thereby modulating access to the DNA template . Recently, SETX was found to interact with proteins involved in transcription and pre-mRNA processing and SETX diminution resulted in defects in pre-mRNA splicing .
3.1.6. Angiogenin (ANG)
It is a 14 kDa angiogenic ribonuclease whose activity is related to its ability in regulating ribosomal RNA (rRNA) transcription.
Human angiogenin has been shown to play a role in regulating gene expression by direct binding to DNA . ANG binds to actin on the surface of endothelial cells, once bound, angiogenin is endocytosed and translocated to the nucleus of growth-stimulated endothelial cells where it accumulates in the nucleolus, binds to the promoter region of ribosomal DNA (rDNA), and stimulates rRNA transcription [46, 47]. ANG gene has been found mutated in 2.3% of FALS and 1% of SALS patients [48, 49].
Mutations in ANG gene provoke reduction of cell proliferation, angiogenic activities, and nuclear localization in ALS patients ; moreover, mutant ANG is toxic in motor neurons where highly expressed [51, 52].
3.1.7. Chromosome 9 Open Reading Frame 72 (C9orf72)
It is a gene located on chromosome 9, composed of 10 exons and coding for 481 amino acids protein. In September 2011, two publications by Renton et al.  and DeJesus-Hernandez et al.  reported an expansion of a noncoding GGGGCC hexanucleotide repeat in intron 1 of the gene C9ORF72 associated with FTD/ALS diseases. These two papers demonstrated that the C9ORF72 repeat expansion is a very common genetic abnormality in both familial FTD (11.7%) and familial ALS (23.5%) . The C9ORF72 repeat expansion was also found in 4.1% of SALS . The pathogenic mechanism of the recently discovered hexanucleotide expansions in the C9ORF72 gene is not understood, it has been hypothesized that this protein is usually localized in the nuclear fraction of the cells while the presence of expansion induces this protein to shuttle in the cytoplasm compartment. As regards C9ORF72-dependent pathogenic mechanisms and RNA metabolism, 50% reduction of C9ORF72 transcript has been observed in patients with expansions [54, 55], and it has been hypothesized that expanded RNA forms pathogenic foci that trap one or more RNA binding protein(s). This mechanism of RNA toxicity, resulting in the depletion and loss of function of specific RNA binding protein(s) with affinity for the expanded RNAs, has been established in other neurological diseases .
3.2. Aberrant Exon Splicing
RNA-based mechanisms exert a vital role in governing neuronal function; consequently, alterations in RNA processing have been involved in numerous neurodegenerative conditions leading to the identification of novel pathogenic pathways. Among these, alternative splicing of pre-mRNAs represents an important step of post-transcriptional gene regulation by increasing the coding capacity of transcripts and generating proteomic diversification. Disruption of alternative splicing regulation, due to either mutations in splicing regulatory elements or aberrant activity of RNA-binding proteins, can affect the finely tuned program of gene expression and cause the abnormal production of protein isoforms. Numerous papers described abnormalities in the RNA splicing machinery in ALS. Aerbajinai and colleagues  demonstrated that an aberrant alternative splicing in survival motor neuron interacting protein 1 (SIP1) occurs in tissues from both ALS and spinal muscular atrophy (SMA) patients. Furthermore, a neurotoxic splice variant of peripherin (Per 61) has been described in SOD1G37R transgenic mice and in spinal cord motor neurons from two FALS cases . Recently, the employment of whole-genome approaches, such as splicing sensitive microarray-based profiling, allowed to globally identify the genes and exons differentially expressed in ALS [44, 57, 58]. These analyses revealed a widespread alteration in pre-mRNA splicing in both ALS animal and cellular models and in tissues from FALS and SALS patients. The molecular bases of such alterations and their relevance to disease pathogenesis are still unclear; nevertheless, the fact that both TDP43 and FUS/TLS can act as splicing factor points to a potential involvement of these proteins in the deregulation of pre-mRNA processing observed in ALS.
4. Non-Protein-Coding RNA
Only 2% of the human genes encode for proteins, while the rest of the transcribed gene produces a great number of non-protein-coding RNAs (ncRNAs) as tRNA, rRNA, miRNA, natural antisense transcripts, and long noncoding RNAs (lncRNAs) . Actually we are starting to study and understand the basic processes in which ncRNAs take part. Here we focus on two classes of ncRNAs, miRNA and lncRNAs.
MiRNAs are small RNAs of 21 nucleotides and act as post-transcriptional repressors. They are able to interact with specific sequences of target mRNA (mainly in the 3′UTRs) recruiting the RNA-induced silencing complex (RISC) and, on the basis of complete or incomplete miRNA-mRNA complementary, they direct mRNA to degradation or to translational repression, respectively . Two RNase III proteins, the nuclear Drosha and the cytoplasmatic Dicer, are key enzymes of the microprocessor complex: the former cleaves the pri-miRNAs into pre-miRNAs, and the latter is involved in the maturation of the pre-miRNAs .
It has been demonstrated that the proteins TDP-43 and FUS/TLS are able to interact physically with Drosha, suggesting their involvement in miRNA biogenesis . Recently, Haramati have observed that TDP-43 facilitates the production of pre-miRNAs interacting directly with Drosha and promotes the synthesis of an miRNA subset, indispensable for neuronal outgrowth .
In ALS pathogenesis, mislocalization of TDP-43 due to accumulation in cytoplasmatic aggregates probably reduces the processing of TDP-43-regulated by Drosha and Dicer and generates different miRNA expression profiling.
As regards neuron survival, crucial in ALS, it has been demonstrated that ablation of Dicer in mice affects miRNA synthesis during development and leads to the loss of the ability to make functional miRNA postnatally . These mutant mice show a phenotype simulating SMA with failure of functional locomotor tests, as sclerosis of the spinal ventral horns and decline in the number of motoneurons.
About ALS, miRNA profiling study on the skeletal muscle of SOD1-G93A mouse model has demonstrated that the muscle-specific miRNA miR-206 is upregulated in lower limbs of SOD1-G93A mice among 320 miRNAs tested .
Furthermore, in mouse model with the deletion of miR-206 it has been observed that the lack of this miRNA accelerates the disease progression, suggesting that the higher amount of miR-206, in SOD1-G93A mice may be a compensatory effect to reduce motor neurons degeneration in ALS.
All these observations sustain the importance of miRNA microprocessor complex in ALS disease, future studies on ALS patients may elucidate miRNA roles in ALS human mechanism.
4.2. Long Noncoding RNA (lncRNAs)
Recent genome-wide analyses of the human transcriptome have revealed a plethora of lncRNAs whose biogenesis, regulation, and cellular roles are only starting to be elucidated. LncRNAs are 300 to thousands nucleotides long that are involved in many biological processes as transcription, translation, and splicing .
According to the competing endogenous RNA (ceRNA) theory defined by Salmena et al., all types of RNA transcripts, coding and noncoding, could communicate with each others in a keen way supervising different cellular mechanisms . For instance, it has been discovered that lncRNAs may be associated with miRNAs [65, 66].
In particular, lncRNA could act as competitor molecules able to sequester miRNA and thereby protecting target mRNA from traslational repression . An example of lncRNA that may take part in splicing regulation is MALAT-1 (metastatis-associated in lung adenocarcinoma transcript), which has been found associated to nuclear-splicing phoshoproteins. Furthermore, MALAT1 is very abundant in neurons and seems to be involved in the synaptogenesis.
Increasing evidence points to deregulation of lncRNAs , which hopefully will show the way forward to deepen their roles in ALS disease.
Considering the literature data about ALS, it appears evident that this pathology has been often studied in the eyes of mitochondial or oxidative protein defects disease.
Recently, modifications of RNA metabolism have been described in ALS at various levels: splicing, editing, transport, stabilization, translation, and degradation.
In this paper, we tried to summarize the main data about the different steps of RNA metabolism, from transcription to post-transcriptional regulation and the rilevance of protein-noncoding RNA. Different genes have been found altered in gene expression profiling and often the same genes are involved in post-transcriptional pathways. Moreover, the RNA cyclelife can be controlled by protein noncoding RNA, that are playing more and more important roles in RNAs regulation.
In summary, we have tried to underline the importance of going deep to the heart of RNA metabolism since we think it may provide new insights into the complex regulation of genes expression, possibly disclosing new mechanisms involved in ALS aetiology and identifying innovative therapeutic strategies for this disease.
- E. Courtney, S. Kornfeld, K. Janitz, and M. Janitz, “Transcriptome profiling in neurodegenerative disease,” Journal of Neuroscience Methods, vol. 193, no. 2, pp. 189–202, 2010.
- M. J. Strong, “The evidence for altered RNA metabolism in amyotrophic lateral sclerosis (ALS),” Journal of the Neurological Sciences, vol. 288, no. 1-2, pp. 1–12, 2010.
- J.-L. C. Mougeot, Z. Li, A. E. Price, F. A. Wright, and B. R. Brooks, “Microarray analysis of peripheral blood lymphocytes from ALS patients and the SAFE detection of the KEGG ALS pathway,” BMC Medical Genomics, vol. 4, article 74, 2011.
- T. J. Kwiatkowski, D. A. Bosco, A. L. LeClerc et al., “Mutations in the FUS/TLS gene on chromosome 16 cause familial amyotrophic lateral sclerosis,” Science, vol. 323, no. 5918, pp. 1205–1208, 2009.
- N. J. Rutherford, Y. J. Zhang, M. Baker et al., “Novel mutations in TARDBP(TDP-43) in patients with familial amyotrophic lateral sclerosis,” PLoS Genetics, vol. 4, no. 9, Article ID e1000193, 2008.
- W. Aerbajinai, T. Ishihara, K. Arahata, and T. Tsukahara, “Increased expression level of the splicing variant of SIP1 in motor neuron diseases,” International Journal of Biochemistry and Cell Biology, vol. 34, no. 6, pp. 699–707, 2002.
- J. Robertson, M. M. Doroudchi, M. D. Nguyen et al., “A neurotoxic peripherin splice variant in a mouse model of ALS,” Journal of Cell Biology, vol. 160, no. 6, pp. 939–949, 2003.
- O. Wapinski and H. Y. Chang, “Long noncoding RNAs and human disease,” Trends in Cell Biology, vol. 21, no. 6, pp. 354–361, 2011, Erratum in: Trends in Cell Biology, vol. 21, no.10, p. 561, 2011.
- Y. Kawahara, “Implications of microRNA dysfunction in the pathogenesis of ALS,” Clinical Neurology, vol. 50, no. 11, pp. 979–981, 2010.
- R. Zhang, K. G. Hadlock, H. Do et al., “Gene expression profiling in peripheral blood mononuclear cells from patients with sporadic amyotrophic lateral sclerosis (sALS),” Journal of Neuroimmunology, vol. 230, no. 1-2, pp. 114–123, 2011.
- S. Gagliardi, E. Cova, A. Davin et al., “SOD1 mRNA expression in sporadic amyotrophic lateral sclerosis,” Neurobiology of Disease, vol. 39, no. 2, pp. 198–203, 2010.
- V. Swarup, D. Phaneuf, N. Dupré et al., “Deregulation of TDP-43 in amyotrophic lateral sclerosis triggers nuclear factor κB-mediated pathogenic pathways,” Journal of Experimental Medicine, vol. 208, no. 12, pp. 2429–2447, 2011.
- L. C. Kudo, L. Parfenova, N. Vi et al., “Integrative gene-tissue microarray-based approach for identification of human disease biomarkers: application to amyotrophic lateral sclerosis,” Human Molecular Genetics, vol. 19, no. 16, Article ID ddq232, pp. 3233–3253, 2010.
- J. Kirby, E. Halligan, M. J. Baptista et al., “Mutant SOD1 alters the motor neuronal transcriptome: implications for familial ALS,” Brain, vol. 128, no. 7, pp. 1686–1706, 2005.
- C. Colombrita, E. Onesto, C. Tiloca, N. Ticozzi, V. Silani, and A. Ratti, “RNA-binding proteins and RNA metabolism: a new scenario in the pathogenesis of Amyotrophic Lateral Sclerosis,” Archives Italiennes de Biologie, vol. 149, no. 1, pp. 83–99, 2011.
- J. Sreedharan, I. P. Blair, V. B. Tripathi et al., “TDP-43 mutations in familial and sporadic amyotrophic lateral sclerosis,” Science, vol. 319, no. 5870, pp. 1668–1672, 2008.
- M. J. Winton, V. M. Van Deerlin, L. K. Kwong et al., “A90V TDP-43 variant results in the aberrant localization of TDP-43 in vitro,” FEBS Letters, vol. 582, no. 15, pp. 2252–2256, 2008.
- L. Corrado, A. Ratti, C. Gellera et al., “High frequency of TARDBP gene mutations in italian patients with amyotrophic lateral sclerosis,” Human Mutation, vol. 30, no. 4, pp. 688–694, 2009.
- E. Buratti and F. E. Baralle, “Characterization and functional implications of the RNA binding properties of nuclear factor TDP-43, a novel splicing regulator of CFTR Exon 9,” Journal of Biological Chemistry, vol. 276, no. 39, pp. 36337–36343, 2001.
- Y. M. Ayala, P. Zago, A. D'Ambrogio et al., “Structural determinants of the cellular localization and shuttling of TDP-43,” Journal of Cell Science, vol. 121, no. 22, pp. 3778–3785, 2008.
- H. Y. Wang, I. F. Wang, J. Bose, and C. K. J. Shen, “Structural diversity and functional implications of the eukaryotic TDP gene family,” Genomics, vol. 83, no. 1, pp. 130–139, 2004.
- Y. Kawahara and A. Mieda-Sato, “TDP-43 promotes microRNA biogenesis as a component of the Drosha and Dicer complexes,” Proceedings of the National Academy of Sciences of the United States of America, vol. 109, no. 9, pp. 3347–3352, 2012.
- N. Ticozzi, A. L. LeClerc, M. van Blitterswijk et al., “Mutational analysis of TARDBP in neurodegenerative diseases,” Neurobiology of Aging, vol. 32, no. 11, pp. 2096–2099, 2009.
- M. Neumann, D. M. Sampathu, L. K. Kwong et al., “Ubiquitinated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis,” Science, vol. 314, no. 5796, pp. 130–133, 2006.
- M. J. Strong, K. Volkening, R. Hammond et al., “TDP43 is a human low molecular weight neurofilament (hNFL) mRNA-binding protein,” Molecular and Cellular Neuroscience, vol. 35, no. 2, pp. 320–327, 2007.
- K. Volkening, C. Leystra-Lantz, W. Yang, H. Jaffee, and M. J. Strong, “Tar DNA binding protein of 43 kDa (TDP-43), 14-3-3 proteins and copper/zinc superoxide dismutase (SOD1) interact to modulate NFL mRNA stability. Implications for altered RNA processing in amyotrophic lateral sclerosis (ALS),” Brain Research, vol. 1305, pp. 168–182, 2009.
- F. C. Fiesel and P. J. Kahle, “TDP-43 and FUS/TLS: cellular functions and implications for neurodegeneration,” FEBS Journal, vol. 278, no. 19, pp. 3550–3568, 2011.
- I. Lastres-Becker, U. Rüb, and G. Auburger, “Spinocerebellar ataxia 2 (SCA2),” Cerebellum, vol. 7, no. 2, pp. 115–124, 2008.
- A. C. Elden, H. J. Kim, M. P. Hart et al., “Ataxin-2 intermediate-length polyglutamine expansions are associated with increased risk for ALS,” Nature, vol. 466, no. 7310, pp. 1069–1075, 2010.
- C. Lagier-Tourenne, M. Polymenidou, and D. W. Cleveland, “TDP-43 and FUS/TLS: emerging roles in RNA processing and neurodegeneration,” Human Molecular Genetics, vol. 19, no. 1, Article ID ddq137, pp. R46–R64, 2010.
- D. Dormann, R. Rodde, D. Edbauer et al., “ALS-associated fused in sarcoma (FUS) mutations disrupt transportin-mediated nuclear import,” EMBO Journal, vol. 29, no. 16, pp. 2841–2857, 2010.
- P. Milani, S. Gagliardi, E. Cova, and C. Cereda, “SOD1 transcriptional and posttranscriptional regulation and its potential implications in ALS,” Neurology Research International, vol. 2011, Article ID 458427, 9 pages, 2011.
- J. Gal, J. Zhang, D. M. Kwinter et al., “Nuclear localization sequence of FUS and induction of stress granules by ALS mutants,” Neurobiology of Aging, vol. 32, no. 12, p. 2323.e27, 2010.
- C. Vance, B. Rogelj, T. Hortobágyi et al., “Mutations in FUS, an RNA processing protein, cause familial amyotrophic lateral sclerosis type 6,” Science, vol. 323, no. 5918, pp. 1208–1211, 2009.
- D. Ito, M. Seki, Y. Tsunoda, H. Uchiyama, and N. Suzuki, “Nuclear transport impairment of amyotrophic lateral sclerosis-linked mutations in FUS/TLS,” Annals of Neurology, vol. 69, no. 1, pp. 152–162, 2011.
- H. Uranishi, T. Tetsuka, M. Yamashita et al., “Involvement of the Pro-oncoprotein TLS (Translocated in Liposarcoma) in Nuclear Factor-κB p65-mediated Transcription as a Coactivator,” Journal of Biological Chemistry, vol. 276, no. 16, pp. 13395–13401, 2001.
- M. Neumann, R. Rademakers, S. Roeber, M. Baker, H. A. Kretzschmar, and I. R. A. MacKenzie, “A new subtype of frontotemporal lobar degeneration with FUS pathology,” Brain, vol. 132, no. 11, pp. 2922–2931, 2009.
- D. R. Rosen, T. Siddique, D. Patterson et al., “Mutations in Cu/Zn superoxide dismutase gene are associated with familial amyotrophic lateral sclerosis,” Nature, vol. 362, no. 6415, pp. 59–62, 1993.
- W. W. Ge, W. Wen, W. Strong, C. Leystra-Lantz, and M. J. Strong, “Mutant copper-zinc superoxide dismutase binds to and destabilizes human low molecular weight neurofilament mRNA,” Journal of Biological Chemistry, vol. 280, no. 1, pp. 118–124, 2005.
- L. Lu, L. Zheng, L. Viera et al., “Mutant Cu/Zn-superoxide dismutase associated with amyotrophic lateral sclerosis destabilizes vascular endothelial growth factor mRNA and downregulates its expression,” Journal of Neuroscience, vol. 27, no. 30, pp. 7929–7938, 2007.
- X. Li, L. Lu, D. J. Bush et al., “Mutant copper-zinc superoxide dismutase associated with amyotrophic lateral sclerosis binds to adenine/uridine-rich stability elements in the vascular endothelial growth factor 3′-untranslated region,” Journal of Neurochemistry, vol. 108, no. 4, pp. 1032–1044, 2009.
- Y. Z. Chen, C. L. Bennett, H. M. Huynh et al., “DNA/RNA helicase gene mutations in a form of juvenile amyotrophic lateral sclerosis (ALS4),” American Journal of Human Genetics, vol. 74, no. 6, pp. 1128–1135, 2004.
- N. Tuteja and R. Tuteja, “Unraveling DNA helicases Motif, structure, mechanism and function,” European Journal of Biochemistry, vol. 271, no. 10, pp. 1849–1863, 2004.
- S. J. Rabin, J. M. Hugo Kim, M. Baughn et al., “Sporadic ALS has compartment-specific aberrant exon splicing and altered cell-matrix adhesion biology,” Human Molecular Genetics, vol. 19, no. 2, Article ID ddp498, pp. 313–328, 2009.
- W. Y. Hu, N. Fukuda, C. Satoh et al., “Phenotypic modulation by fibronectin enhances the angiotensin II-generating system in cultured vascular smooth muscle cells,” Arteriosclerosis, Thrombosis, and Vascular Biology, vol. 20, no. 6, pp. 1500–1505, 2000.
- H. L. Weiner, L. H. Weiner, and J. L. Swain, “Tissue distribution and developmental expression of the messenger RNA encoding angiogenin,” Science, vol. 237, no. 4812, pp. 280–282, 1987.
- S. Li and G. F. Hu, “Angiogenin-mediated rRNA transcription in cancer and neurodegeneration,” International Journal of Biochemistry and Molecular Biology, vol. 1, no. 1, pp. 26–35, 2010.
- M. J. Greenway, P. M. Andersen, G. Russ et al., “ANG mutations segregate with familial and ‘sporadic’ amyotrophic lateral sclerosis,” Nature Genetics, vol. 38, no. 4, pp. 411–413, 2006.
- C. Gellera, C. Colombrita, N. Ticozzi et al., “Identification of new ANG gene mutations in a large cohort of Italian patients with amyotrophic lateral sclerosis,” Neurogenetics, vol. 9, no. 1, pp. 33–40, 2008.
- B. Crabtree, N. Thiyagarajan, S. H. Prior et al., “Characterization of human angiogenin variants implicated in amyotrophic lateral sclerosis,” Biochemistry, vol. 46, no. 42, pp. 11810–11818, 2007.
- R. Lemmens, M. J. Moore, A. Al-Chalabi, R. H. Brown, and W. Robberecht, “RNA metabolism and the pathogenesis of motor neuron diseases,” Trends in Neurosciences, vol. 33, no. 5, pp. 249–258, 2010.
- V. Subramanian, B. Crabtree, and K. R. Acharya, “Human angiogenin is a neuroprotective factor and amyotrophic lateral sclerosis associated angiogenin variants affect neurite extension/pathfinding and survival of motor neurons,” Human Molecular Genetics, vol. 17, no. 1, pp. 130–149, 2008.
- A. Renton, E. Majounie, A. Waite et al., “A hexanucleotide repeat expansion in C9ORF72 is the cause of chromosome 9p21-linked ALS-FTD,” Neuron, vol. 72, no. 2, pp. 257–268, 2011.
- M. DeJesus-Hernandez, I. Mackenzie, B. Boeve et al., “Expanded GGGGCC hexanucleotide repeat in noncoding region of C9ORF72 causes chromosome 9p-linked FTD and ALS,” Neuron, vol. 72, no. 2, pp. 245–256, 2011.
- I. Gijselinck, T. Van Langenhove, J. van der Zee et al., “A C9orf72 promoter repeat expansion in a Flanders-Belgian cohort with disorders of the frontotemporal lobar degeneration-amyotrophic lateral sclerosis spectrum: a gene identification study,” The Lancet Neurology, vol. 11, no. 1, pp. 54–65, 2012.
- C. Sellier, F. Rau, Y. Liu et al., “Sam68 sequestration and partial loss of function are associated with splicing alterations in FXTAS patients,” EMBO Journal, vol. 29, no. 7, pp. 1248–1261, 2010.
- H. Chen, Y. Guo, M. Hu, W. Duan, G. Chang, and C. Li, “Differential expression and alternative splicing of genes in lumbar spinal cord of an amyotrophic lateral sclerosis mouse model,” Brain Research, vol. 1340, pp. 52–69, 2010.
- S. C. Lenzken, V. Romeo, F. Zolezzi et al., “Mutant SOD1 and mitochondrial damage alter expression and splicing of genes controlling neuritogenesis in models of neurodegeneration,” Human Mutation, vol. 32, no. 2, pp. 168–182, 2011.
- H. Tan, Z. Xu, and P. Jin, “Role of noncoding RNAs in trinucleotide repeat neurodegenerative disorders,” Experimental Neurology, vol. 235, no. 2, pp. 469–475, 2012.
- J. A. Saugstad, “MicroRNAs as effectors of brain function with roles in ischemia and injury, neuroprotection, and neurodegeneration,” Journal of Cerebral Blood Flow and Metabolism, vol. 30, no. 9, pp. 1564–1576, 2010.
- W. Filipowicz, S. N. Bhattacharyya, and N. Sonenberg, “Mechanisms of post-transcriptional regulation by microRNAs: are the answers in sight?” Nature Reviews Genetics, vol. 9, no. 2, pp. 102–114, 2008.
- S. Haramati, E. Chapnik, Y. Sztainberg et al., “miRNA malfunction causes spinal motor neuron disease,” Proceedings of the National Academy of Sciences of the United States of America, vol. 107, no. 29, pp. 13111–13116, 2010.
- A. H. Williams, G. Valdez, V. Moresi et al., “MicroRNA-206 delays ALS progression and promotes regeneration of neuromuscular synapses in mice,” Science, vol. 326, no. 5959, pp. 1549–1554, 2009.
- O. Wapinski and H. Y. Chang, “Long noncoding RNAs and human disease,” Trends in Cell Biology, vol. 21, no. 6, p. 561, 2011.
- L. Salmena, L. Poliseno, Y. Tay, L. Kats, and P. P. Pandolfi, “A ceRNA hypothesis: the rosetta stone of a hidden RNA language?” Cell, vol. 146, no. 3, pp. 353–358, 2011.
- D. D. Licatalosi, A. Mele, J. J. Fak et al., “HITS-CLIP yields genome-wide insights into brain alternative RNA processing,” Nature, vol. 456, no. 7221, pp. 464–469, 2008.
- V. Tripathi, J. D. Ellis, Z. Shen et al., “The nuclear-retained noncoding RNA MALAT1 regulates alternative splicing by modulating SR splicing factor phosphorylation,” Molecular Cell, vol. 39, no. 6, pp. 925–938, 2010.
- D. Bernard, K. V. Prasanth, V. Tripathi et al., “A long nuclear-retained non-coding RNA regulates synaptogenesis by modulating gene expression,” EMBO Journal, vol. 29, no. 18, pp. 3082–3093, 2010.