51
|
Pascale E, Divisato G, Palladino R, Auriemma M, Ngalya EF, Caiazzo M. Noncoding RNAs and Midbrain DA Neurons: Novel Molecular Mechanisms and Therapeutic Targets in Health and Disease. Biomolecules 2020; 10:E1269. [PMID: 32899172 PMCID: PMC7563414 DOI: 10.3390/biom10091269] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 08/28/2020] [Accepted: 08/31/2020] [Indexed: 12/11/2022] Open
Abstract
Midbrain dopamine neurons have crucial functions in motor and emotional control and their degeneration leads to several neurological dysfunctions such as Parkinson's disease, addiction, depression, schizophrenia, and others. Despite advances in the understanding of specific altered proteins and coding genes, little is known about cumulative changes in the transcriptional landscape of noncoding genes in midbrain dopamine neurons. Noncoding RNAs-specifically microRNAs and long noncoding RNAs-are emerging as crucial post-transcriptional regulators of gene expression in the brain. The identification of noncoding RNA networks underlying all stages of dopamine neuron development and plasticity is an essential step to deeply understand their physiological role and also their involvement in the etiology of dopaminergic diseases. Here, we provide an update about noncoding RNAs involved in dopaminergic development and metabolism, and the related evidence of these biomolecules for applications in potential treatments for dopaminergic neurodegeneration.
Collapse
Affiliation(s)
- Emilia Pascale
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, Via Pansini 5, 80131 Naples, Italy; (E.P.); (G.D.); (R.P.); (M.A.); (E.F.N.)
| | - Giuseppina Divisato
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, Via Pansini 5, 80131 Naples, Italy; (E.P.); (G.D.); (R.P.); (M.A.); (E.F.N.)
| | - Renata Palladino
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, Via Pansini 5, 80131 Naples, Italy; (E.P.); (G.D.); (R.P.); (M.A.); (E.F.N.)
| | - Margherita Auriemma
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, Via Pansini 5, 80131 Naples, Italy; (E.P.); (G.D.); (R.P.); (M.A.); (E.F.N.)
| | - Edward Faustine Ngalya
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, Via Pansini 5, 80131 Naples, Italy; (E.P.); (G.D.); (R.P.); (M.A.); (E.F.N.)
| | - Massimiliano Caiazzo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, Via Pansini 5, 80131 Naples, Italy; (E.P.); (G.D.); (R.P.); (M.A.); (E.F.N.)
- Department of Pharmaceutics, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Universiteitsweg 99, 3584 CG Utrecht, The Netherlands
| |
Collapse
|
52
|
Role of Long Noncoding RNAs in Parkinson's Disease: Putative Biomarkers and Therapeutic Targets. PARKINSONS DISEASE 2020; 2020:5374307. [PMID: 32617144 PMCID: PMC7306067 DOI: 10.1155/2020/5374307] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 05/07/2020] [Accepted: 05/21/2020] [Indexed: 01/12/2023]
Abstract
Parkinson's disease (PD) is a neurodegenerative disease characterized by bradykinesia, rigidity, and tremor. Age is the main risk factor. Long noncoding RNAs (lncRNAs) are novel RNA molecules of more than 200 nucleotides in length. They may be involved in the regulation of many pathological processes of PD. PD has a variety of pathophysiological mechanisms, including alpha-synuclein aggregate, mitochondrial dysfunction, oxidative stress, calcium homeostasis, axonal transport, and neuroinflammation. Among these, the impacts of lncRNAs on the pathogenesis and progression of PD need to be highlighted. lncRNAs may serve as putative biomarkers and therapeutic targets for the early diagnosis of PD. This study aimed to investigate the role of lncRNAs in various pathological processes of PD and the specific lncRNAs that might be used as putative diagnostic biomarkers and therapeutic targets of PD.
Collapse
|
53
|
Lam S, Bayraktar A, Zhang C, Turkez H, Nielsen J, Boren J, Shoaie S, Uhlen M, Mardinoglu A. A systems biology approach for studying neurodegenerative diseases. Drug Discov Today 2020; 25:1146-1159. [PMID: 32442631 DOI: 10.1016/j.drudis.2020.05.010] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 04/13/2020] [Accepted: 05/13/2020] [Indexed: 01/06/2023]
Abstract
Neurodegenerative diseases (NDDs), such as Alzheimer's (AD) and Parkinson's (PD), are among the leading causes of lost years of healthy life and exert a great strain on public healthcare systems. Despite being first described more than a century ago, no effective cure exists for AD or PD. Although extensively characterised at the molecular level, traditional neurodegeneration research remains marred by narrow-sense approaches surrounding amyloid β (Aβ), tau, and α-synuclein (α-syn). A systems biology approach enables the integration of multi-omics data and informs discovery of biomarkers, drug targets, and treatment strategies. Here, we present a comprehensive timeline of high-throughput data collection, and associated biotechnological advancements and computational analysis related to AD and PD. We hereby propose that a philosophical change in the definitions of AD and PD is now needed.
Collapse
Affiliation(s)
- Simon Lam
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, SE1 9RT, UK
| | - Abdulahad Bayraktar
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, SE1 9RT, UK
| | - Cheng Zhang
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden
| | - Hasan Turkez
- Department of Medical Biology, Faculty of Medicine, Atatürk University, Erzurum, 25240, Turkey
| | - Jens Nielsen
- Department of Biology and Biological Engineering, Chalmers University of Technology, SE-41296, Gothenburg, Sweden
| | - Jan Boren
- Department of Molecular and Clinical Medicine, University of Gothenburg, The Wallenberg Laboratory, Sahlgrenska University Hospital, Gothenburg, SE-413 45, Sweden
| | - Saeed Shoaie
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, SE1 9RT, UK; Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden
| | - Mathias Uhlen
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden
| | - Adil Mardinoglu
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, SE1 9RT, UK; Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden.
| |
Collapse
|
54
|
HOTAIR drives autophagy in midbrain dopaminergic neurons in the substantia nigra compacta in a mouse model of Parkinson's disease by elevating NPTX2 via miR-221-3p binding. Aging (Albany NY) 2020; 12:7660-7678. [PMID: 32396526 PMCID: PMC7244061 DOI: 10.18632/aging.103028] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 02/05/2020] [Indexed: 01/17/2023]
Abstract
Parkinson’s disease (PD) is a neurodegenerative disorder characterized by progressive cell loss, largely confined to mesencephalic dopamine neurons of the substantia nigra. This study investigated the functional relevance of the HOX transcript antisense intergenic RNA (HOTAIR)/microRNA-221-3 (miR-221-3p)/neuronal pentraxin II (NPTX2) axis in the process of dopaminergic neuron autophagy using PD mouse models. The PD mouse models were established by intraperitoneal injection of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyrindine (MPTP), while PD cell model was constructed by pretreatment with 1-methyl-4-phenylpyridinium (MPP+). The expression of HOTAIR was then examined using RT-qPCR. In addition, the interactions between HOTAIR, miR-221-3p, and NPTX2 were detected through RIP and dual-luciferase reporter gene assays. CCK-8 assay was performed to measure cell viability, and the expression of autophagy-related genes was determined using Western blot analysis. HOTAIR was found to be significantly expressed in the substantia nigra compact tissues and MN9D cells following PD modeling. HOTAIR could bind to miR-221-3p and elevate the NPTX2 expression, which resulted in diminished cell viability and enhanced autophagy of dopaminergic neurons both in vitro and in vivo. In summary, down-regulation of HOTAIR could potentially inhibit the autophagy of dopaminergic neurons in the substantia nigra compacta in a mouse model of PD, thus saving the demise of dopaminergic neurons.
Collapse
|
55
|
Zhang X, Xu Y, Chen B, Kang L. Long noncoding RNA PAHAL modulates locust behavioural plasticity through the feedback regulation of dopamine biosynthesis. PLoS Genet 2020; 16:e1008771. [PMID: 32348314 PMCID: PMC7241820 DOI: 10.1371/journal.pgen.1008771] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 05/21/2020] [Accepted: 04/09/2020] [Indexed: 11/24/2022] Open
Abstract
Some long noncoding RNAs (lncRNAs) are specifically expressed in brain cells, implying their neural and behavioural functions. However, how lncRNAs contribute to neural regulatory networks governing the precise behaviour of animals is less explored. Here, we report the regulatory mechanism of the nuclear-enriched lncRNA PAHAL for dopamine biosynthesis and behavioural adjustment in migratory locusts (Locusta migratoria), a species with extreme behavioral plasticity. PAHAL is transcribed from the sense (coding) strand of the gene encoding phenylalanine hydroxylase (PAH), which is responsible for the synthesis of dopamine from phenylalanine. PAHAL positively regulates PAH expression resulting in dopamine production in the brain. In addition, PAHAL modulates locust behavioral aggregation in a population density-dependent manner. Mechanistically, PAHAL mediates PAH transcriptional activation by recruiting serine/arginine-rich splicing factor 2 (SRSF2), a transcription/splicing factor, to the PAH proximal promoter. The co-activation effect of PAHAL requires the interaction of the PAHAL/SRSF2 complex with the promoter-associated nascent RNA of PAH. Thus, the data support a model of feedback modulation of animal behavioural plasticity by an lncRNA. In this model, the lncRNA mediates neurotransmitter metabolism through orchestrating a local transcriptional loop. The neurotransmitter dopamine is crucial for the neuronal and behavioral response in animals. Phenylalanine hydroxylase (PAH) is involved in dopamine biosynthesis and behavioral regulation in the migratory locust. However, the molecular mechanism for the fine tuning of PAH expression in behavioral response remains ambiguous. Here we discovered a nuclear-enriched lncRNA PAHAL that is transcribed from the coding strand of the PAH gene in the locust (i.e., sense lncRNA). PAHAL positively regulated PAH expression and dopamine production in the brain. In addition, PAHAL modulated behavioral aggregation of the locust. Mechanistically, PAHAL mediated the transcriptional activation of PAH by recruiting SRSF2, a transcription/splicing factor, to the promoter-associated nascent RNA of PAH. These data support a model of feedback modulation of dopamine biosynthesis and behavioral plasticity via a sense lncRNA in the catecholamine metabolic pathway.
Collapse
Affiliation(s)
- Xia Zhang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Beijing Institute of Life Sciences, Chinese Academy of Sciences, Beijing, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
| | - Ya'nan Xu
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Bing Chen
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, Hebei University, Baoding, China
- * E-mail: (BC); (KL)
| | - Le Kang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Beijing Institute of Life Sciences, Chinese Academy of Sciences, Beijing, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, Hebei University, Baoding, China
- * E-mail: (BC); (KL)
| |
Collapse
|
56
|
Wu YY, Kuo HC. Functional roles and networks of non-coding RNAs in the pathogenesis of neurodegenerative diseases. J Biomed Sci 2020; 27:49. [PMID: 32264890 PMCID: PMC7140545 DOI: 10.1186/s12929-020-00636-z] [Citation(s) in RCA: 147] [Impact Index Per Article: 36.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 02/26/2020] [Indexed: 12/13/2022] Open
Abstract
Recent transcriptome analyses have revealed that noncoding RNAs (ncRNAs) are broadly expressed in mammalian cells and abundant in the CNS, with tissue and cell type-specific expression patterns. Moreover, ncRNAs have been found to intricately and dynamically regulate various signaling pathways in neurodegeneration. As such, some antisense transcripts and microRNAs are known to directly affect neurodegeneration in disease contexts. The functions of ncRNAs in pathogenesis are unique for each disorder, as are the pertinent networks of ncRNA/miRNA/mRNA that mediate these functions. Thus, further understanding of ncRNA biogenesis and effects might aid the discovery of diagnostic biomarkers or development of effective therapeutics for neurodegenerative disorders. Here, we review the ncRNAs that have so far been identified in major neurodegenerative disease etiology and the mechanisms that link ncRNAs with disease-specific phenotypes, such as HTT aggregation in HD, α-synuclein in PD, and Aβ plaques and hyperphosphorylated Tau in AD. We also summarize the known lncRNA/miRNA/mRNA networks that participate in neurodegenerative diseases, and we discuss ncRNA-related treatments shown to delay disease onset and prolong lifespan in rodent models.
Collapse
Affiliation(s)
- Yi-Ying Wu
- Institute of Cellular and Organismic Biology, Academia Sinica, No. 128, Sec. 2, Academia Road, Nankang, Taipei, 11529, Taiwan
| | - Hung-Chih Kuo
- Institute of Cellular and Organismic Biology, Academia Sinica, No. 128, Sec. 2, Academia Road, Nankang, Taipei, 11529, Taiwan. .,Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan.
| |
Collapse
|
57
|
Simchovitz A, Hanan M, Yayon N, Lee S, Bennett ER, Greenberg DS, Kadener S, Soreq H. A lncRNA survey finds increases in neuroprotective LINC-PINT in Parkinson's disease substantia nigra. Aging Cell 2020; 19:e13115. [PMID: 32080970 PMCID: PMC7059180 DOI: 10.1111/acel.13115] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 12/10/2019] [Accepted: 01/25/2020] [Indexed: 12/21/2022] Open
Abstract
Recent reports highlight regulatory functions of long noncoding RNAs (lncRNAs) in neurodegeneration and aging, but biomedical implications remain limited. Here, we report an rRNA‐depletion‐based long RNA‐Sequencing Resource of 65 substantia nigra, amygdala, and medial temporal gyrus samples from Parkinson's disease (PD) and matched control brains. Using a lncRNA‐focused analysis approach to identify functionally important transcripts, we discovered and prioritized many lncRNAs dysregulated in PD. Those included pronounced elevation of the P53‐induced noncoding transcript LINC‐PINT in the substantia nigra of PD patients, as well as in additional models of oxidative stress and PD. Intriguingly, we found that LINC‐PINT is a primarily neuronal transcript which showed conspicuous increases in maturing primary culture neurons. LINC‐PINT also accumulated in several brain regions of Alzheimer's and Huntington's disease patients and decreased with healthy brain aging, suggesting a general role in aging and neurodegeneration for this lncRNA. RNAi‐mediated depletion of LINC‐PINT exacerbated the death of cultured N2A and SH‐SY5Y cells exposed to oxidative stress, highlighting a previously undiscovered neuroprotective role for this tumor‐inducible lncRNA in the brains of patients with neurodegenerative disorders.
Collapse
Affiliation(s)
- Alon Simchovitz
- The Department of Biological Chemistry and The Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem Jerusalem Israel
| | - Mor Hanan
- The Department of Biological Chemistry and The Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem Jerusalem Israel
| | - Nadav Yayon
- The Department of Biological Chemistry and The Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem Jerusalem Israel
| | - Songhua Lee
- The Department of Biological Chemistry and The Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem Jerusalem Israel
| | - Estelle R. Bennett
- The Department of Biological Chemistry and The Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem Jerusalem Israel
| | - David S. Greenberg
- The Department of Biological Chemistry and The Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem Jerusalem Israel
| | | | - Hermona Soreq
- The Department of Biological Chemistry and The Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem Jerusalem Israel
| |
Collapse
|
58
|
Boros FA, Maszlag-Török R, Vécsei L, Klivényi P. Increased level of NEAT1 long non-coding RNA is detectable in peripheral blood cells of patients with Parkinson's disease. Brain Res 2020; 1730:146672. [PMID: 31953211 DOI: 10.1016/j.brainres.2020.146672] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 12/21/2019] [Accepted: 01/12/2020] [Indexed: 02/07/2023]
Abstract
Parkinson's disease (PD) is the second most prevalent neurodegenerative disorder that poses serious burden to individuals and society as well. Although a number of PD associated genetic factors have been identified, the molecular mechanism of the disease so far has not been completely elucidated. Involvement of long non-coding RNAs (lncRNAs) in the pathology of neurodegenerative disorders is attracting increased interest because of the diverse mechanisms lncRNAs affect gene expression and cellular homeostasis at different levels. We aimed to test the feasibility of detecting alterations in lncRNA levels in easily accessible samples of PD patients by routine laboratory technique. By narrowing the number of selected lncRNAs implicated in neurodegeneration and increasing the number of PD samples included, we found one out of 41 lncRNAs readily detectable in increased level in peripheral blood of PD patients. We detected NEAT1 to be significantly up-regulated in PD patients in multiple comparisons. NEAT1 is the core element of nuclear paraspeckles and it plays role in regulation of transcription, mRNA and miRNA levels, mitochondrial and cellular homeostasis. Our finding is in accord with recent data demonstrating changes in the level of NEAT1 in neurons of PD patients and in several models of the disease. However, to our knowledge this is the first study to report NEAT1 up-regulation in blood of PD patients. Identification of altered expression of this lncRNA in the periphery might help to a better understanding of the mechanisms underlying PD, and can contribute to the identification of new therapeutic targets and disease markers.
Collapse
Affiliation(s)
- Fanni Annamária Boros
- Department of Neurology, Albert Szent-Györgyi Clinical Center, Faculty of Medicine, University of Szeged, Semmelweis u. 6, H-6725 Szeged, Hungary
| | - Rita Maszlag-Török
- Department of Neurology, Albert Szent-Györgyi Clinical Center, Faculty of Medicine, University of Szeged, Semmelweis u. 6, H-6725 Szeged, Hungary; MTA-SZTE Neuroscience Research Group, Semmelweis u. 6, H-6725 Szeged, Hungary
| | - László Vécsei
- Department of Neurology, Albert Szent-Györgyi Clinical Center, Faculty of Medicine, University of Szeged, Semmelweis u. 6, H-6725 Szeged, Hungary; MTA-SZTE Neuroscience Research Group, Semmelweis u. 6, H-6725 Szeged, Hungary
| | - Péter Klivényi
- Department of Neurology, Albert Szent-Györgyi Clinical Center, Faculty of Medicine, University of Szeged, Semmelweis u. 6, H-6725 Szeged, Hungary.
| |
Collapse
|
59
|
Han CL, Liu YP, Sui YP, Chen N, Du TT, Jiang Y, Guo CJ, Wang KL, Wang Q, Fan SY, Shimabukuro M, Meng FG, Yuan F, Zhang JG. Integrated transcriptome expression profiling reveals a novel lncRNA associated with L-DOPA-induced dyskinesia in a rat model of Parkinson's disease. Aging (Albany NY) 2020; 12:718-739. [PMID: 31929116 PMCID: PMC6977703 DOI: 10.18632/aging.102652] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 12/24/2019] [Indexed: 01/08/2023]
Abstract
Levodopa-induced dyskinesia (LID) is a common complication of chronic dopamine replacement therapy in the treatment of Parkinson's disease (PD). Long noncoding RNAs regulate gene expression and participate in many biological processes. However, the role of long noncoding RNAs in LID is not well understood. In the present study, we examined the lncRNA transcriptome profile of a rat model of PD and LID by RNA sequence and got a subset of lncRNAs, which were gradually decreased during the development of PD and LID. We further identified a previously uncharacterized long noncoding RNA, NONRATT023402.2, and its target genes glutathione S-transferase omega (Gsto)2 and prostaglandin E receptor (Ptger)3. All of them were decreased in the PD and LID rats as shown by quantitative real-time PCR, fluorescence in situ hybridization and western blotting. Pearson's correlation analysis showed that their expression was positively correlated with the dyskinesia score of LID rats. In vitro experiments by small interfering RNA confirmed that slicing NONRATT023402 inhibited Gsto2 and Ptger3 and promoted the inflammatory response. These results demonstrate that NONRATT023402.2 may have inhibitive effects on the development of PD and LID.
Collapse
Affiliation(s)
- Chun-Lei Han
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Neurostimulation, Beijing, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yun-Peng Liu
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Yun-Peng Sui
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Ning Chen
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ting-Ting Du
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Ying Jiang
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Chen-Jia Guo
- Department of Pathology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
| | - Kai-Liang Wang
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Qiao Wang
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Shi-Ying Fan
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Michitomo Shimabukuro
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Fan-Gang Meng
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Neurostimulation, Beijing, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Fang Yuan
- Department of Pathophysiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Jian-Guo Zhang
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Neurostimulation, Beijing, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| |
Collapse
|
60
|
Longitudinal Basal Forebrain Degeneration Interacts with TREM2/C3 Biomarkers of Inflammation in Presymptomatic Alzheimer's Disease. J Neurosci 2020; 40:1931-1942. [PMID: 31915256 DOI: 10.1523/jneurosci.1184-19.2019] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 12/14/2019] [Accepted: 12/31/2019] [Indexed: 12/30/2022] Open
Abstract
Cholinergic inputs originating from the peripheral nervous system regulate the inflammatory immune responses of macrophages during clearance of blood-based pathogens. Because microglia are involved in clearing amyloid and tau pathology from the central nervous system, we hypothesized that cholinergic input originating from the basal forebrain might similarly regulate inflammatory immune responses to these pathologies in the aging brain. To explore this hypothesis, we leveraged the Alzheimer's Disease Neuroimaging Initiative dataset. Cognitively normal older male and female human adults were differentiated according to the relative concentration of phosphorylated tau and amyloid in their cerebrospinal fluid, yielding neurotypical and preclinical, cognitively healthy, subgroups. We then tracked these two groups longitudinally with structural MRI and biomarkers of inflammation, including soluble sTREM2 levels in the CSF and complement C3 expression in the blood transcriptome. Longitudinal loss of basal forebrain volume was larger in the preclinical compared with the neurotypical subgroup. Across preclinical adults, loss of basal forebrain volume was associated with greater longitudinal accumulation of sTREM2 and higher peripheral blood C3 expression. None of these relationships were attributable to degeneration in the whole-brain gray matter volume. Preclinical APOE e4 carriers exhibited the largest loss of basal forebrain volume and highest C3 expression. Consistent with the known anti-inflammatory influence of the peripheral cholinergic pathways on macrophages, our findings indicate that a loss of central cholinergic input originating from the basal forebrain might remove a key check on microglial inflammation induced by amyloid and tau accumulation.SIGNIFICANCE STATEMENT In the peripheral nervous system, cholinergic modulation holds the reactivity of macrophages to blood-based pathogens in check, promoting clearance while preventing runaway inflammation and immune-triggered cell death. Microglia are the brain's resident macrophages and play an important role in clearing accumulated amyloid and tau from neurons. Here, we demonstrate that a loss of cholinergic integrity in the CNS, indexed by longitudinal decreases of basal forebrain volume, interacts with multiple biomarkers of inflammation in cognitively normal older adults with abnormal amyloid and tau pathology. These interactions were not detected in cognitively normal older adults with "neurotypical" levels of amyloid and tau. An age-related loss of cholinergic neuromodulation may remove key checks on microglial reactivity to amyloid and tau.
Collapse
|
61
|
Fan Y, Li J, Yang Q, Gong C, Gao H, Mao Z, Yuan X, Zhu S, Xue Z. Dysregulated Long Non-coding RNAs in Parkinson's Disease Contribute to the Apoptosis of Human Neuroblastoma Cells. Front Neurosci 2019; 13:1320. [PMID: 31920490 PMCID: PMC6923663 DOI: 10.3389/fnins.2019.01320] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 11/25/2019] [Indexed: 12/13/2022] Open
Abstract
The molecular mechanism underlying Parkinson's disease (PD), an increasingly common neurodegenerative disease, remains unclear. Long non-coding RNA (lncRNA) plays essential roles in gene expression and human diseases. We hypothesize that lncRNAs are involved in neuronal degeneration of PD. Using microarray, we identified 122 differentially expressed (DE) lncRNAs and 48 DE mRNAs between the circulating leukocytes from PD patients and healthy controls. There were 714 significant correlations (r ≥ 0.8 or ≤-0.8, p < 0.05) among the DE lncRNAs and mRNAs. Gene function and pathway analysis of the 48 DE mRNAs revealed biological pathways related to PD pathogenesis, including immune response, inflammatory response, MAPK, and Jak-STAT pathway. In a cohort of 72 PD patients and 22 healthy controls, the upregulation of four lncRNAs (AC131056.3-001, HOTAIRM1, lnc-MOK-6:1, and RF01976.1-201) in circulating leukocytes of PD patients were further confirmed. These lncRNAs were also upregulated in THP-1 cells, a human monocytic cell line, after inflammatory stimulation. Interestingly, the conditioned culture medium of THP-1 cells or 6-OHDA significantly increased the expression of these lncRNAs in SH-SY5Y cells, a human neuroblastoma cell line expressing dopaminergic markers. Importantly, overexpression of AC131056.3-001 or HOTAIRM1 increased baseline and 6-OHDA-induced apoptosis of SH-SY5Y cells. Taken together, we identified distinct expression profiles of lncRNA and mRNA in circulating leukocytes between PD patients and healthy controls. Dysregulated lncRNAs such as HOTAIRM1 and AC131056.3-001 may contribute to PD pathogenesis by promoting the apoptosis of dopaminergic neuron.
Collapse
Affiliation(s)
- Yun Fan
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jingyi Li
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qingmei Yang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chengwu Gong
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Hongling Gao
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhijuan Mao
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao Yuan
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Suiqiang Zhu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zheng Xue
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
62
|
Wang Q, Han CL, Wang KL, Sui YP, Li ZB, Chen N, Fan SY, Shimabukuro M, Wang F, Meng FG. Integrated analysis of exosomal lncRNA and mRNA expression profiles reveals the involvement of lnc-MKRN2-42:1 in the pathogenesis of Parkinson's disease. CNS Neurosci Ther 2019; 26:527-537. [PMID: 31814304 PMCID: PMC7163584 DOI: 10.1111/cns.13277] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 11/14/2019] [Accepted: 11/22/2019] [Indexed: 12/19/2022] Open
Abstract
Background Parkinson's disease (PD) is a common movement disorder for which diagnosis mainly depends on the medical history and clinical symptoms. Exosomes are now considered an additional mechanism for intercellular communication, allowing cells to exchange proteins, lipids, and genetic material. Long noncoding (lnc) RNA in exosomes plays a critical role in many diseases, including neurodegenerative disease. Aim To study expression differences for lncRNAs in peripheral blood exosomes of PD patients compared with healthy individuals and to look for lncRNAs that might be related to the pathogenesis of PD. Materials and Methods We recruited PD patients along with age‐ and sex‐matched healthy individuals as healthy controls and evaluated levels of lncRNAs extracted from exosomes in plasma samples via next‐generation sequencing and real‐time quantitative PCR. Correlation analysis was conducted for the clinical characteristics of PD patients and the expression of selected lncRNAs. Results We found 15 upregulated and 24 downregulated exosomal lncRNAs in the PD group. According to bioinformatics analyses, we chose lnc‐MKRN2‐42:1 for further study. Interestingly, lnc‐MKRN2‐42:1 was positively correlated with the MDS‐UPDRS III score for PD patients. Conclusion Our study suggested that lnc‐MKRN2‐42:1 may be involved in the occurrence and development of PD.
Collapse
Affiliation(s)
- Qiao Wang
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Chun-Lei Han
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Kai-Liang Wang
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Yun-Peng Sui
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Zhi-Bao Li
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Ning Chen
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shi-Ying Fan
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Michitomo Shimabukuro
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Feng Wang
- Department of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Fan-Gang Meng
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Neurostimulation, Beijing, China.,Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| |
Collapse
|
63
|
Luykx JJ, Giuliani F, Giuliani G, Veldink J. Coding and Non-Coding RNA Abnormalities in Bipolar Disorder. Genes (Basel) 2019; 10:E946. [PMID: 31752442 PMCID: PMC6895892 DOI: 10.3390/genes10110946] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 11/05/2019] [Accepted: 11/15/2019] [Indexed: 12/12/2022] Open
Abstract
The molecular mechanisms underlying bipolar disorder (BPD) have remained largely unknown. Postmortem brain tissue studies comparing BPD patients with healthy controls have produced a heterogeneous array of potentially implicated protein-coding RNAs. We hypothesized that dysregulation of not only coding, but multiple classes of RNA (coding RNA, long non-coding (lnc) RNA, circular (circ) RNA, and/or alternative splicing) underlie the pathogenesis of BPD. Using non-polyadenylated libraries we performed RNA sequencing in postmortem human medial frontal gyrus tissue from BPD patients and healthy controls. Twenty genes, some of which not previously implicated in BPD, were differentially expressed (DE). PCR validation and replication confirmed the implication of these DE genes. Functional in silico analyses identified enrichment of angiogenesis, vascular system development and histone H3-K4 demethylation. In addition, ten lncRNA transcripts were differentially expressed. Furthermore, an overall increased number of alternative splicing events in BPD was detected, as well as an increase in the number of genes carrying alternative splicing events. Finally, a large reservoir of circRNAs populating brain tissue not affected by BPD is described, while in BPD altered levels of two circular transcripts, cNEBL and cEPHA3, are reported. cEPHA3, hitherto unlinked to BPD, is implicated in developmental processes in the central nervous system. Although we did not perform replication analyses of non-coding RNA findings, our findings hint that RNA dysregulation in BPD is not limited to coding regions, opening avenues for future pharmacological investigations and biomarker research.
Collapse
Affiliation(s)
- Jurjen J. Luykx
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, The Netherlands; (F.G.); (G.G.); (J.V.)
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht (UMCU), Utrecht University, 3584 CX Utrecht, The Netherlands
- GGNet Mental Health, 7328 JE Apeldoorn, The Netherlands
| | - Fabrizio Giuliani
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, The Netherlands; (F.G.); (G.G.); (J.V.)
| | - Giuliano Giuliani
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, The Netherlands; (F.G.); (G.G.); (J.V.)
| | - Jan Veldink
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, The Netherlands; (F.G.); (G.G.); (J.V.)
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht (UMCU), Utrecht University, 3584 CX Utrecht, The Netherlands
| |
Collapse
|
64
|
miR-124 and Parkinson's disease: A biomarker with therapeutic potential. Pharmacol Res 2019; 150:104515. [PMID: 31707035 DOI: 10.1016/j.phrs.2019.104515] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 10/20/2019] [Accepted: 10/28/2019] [Indexed: 02/07/2023]
Abstract
Parkinson's disease (PD) is a multifactorial disorder, attributed to a complex interplay between genetic and epigenetic factors. Although the exact etiology of the disease remains elusive, dysregulation of signaling pathways implicated in cell survival, apoptosis, protein aggregation, mitochondrial dysfunction, autophagy, oxidative damage and neuroinflammation, contributes to its pathogenesis. MicroRNAs (miRs) are endogenous short non-coding RNA molecules that negatively regulate gene expression at a post-transcriptional level. MiR-124 is one of the most abundantly expressed miRs in the brain that participates in neurogenesis, synapse morphology, neurotransmission, inflammation, autophagy and mitochondrial function. Accumulating pre-clinical evidence shows that miR-124 may act through calpain 1/p25/cyclin-dependent kinases 5 (CDK5), nuclear factor-kappa B (NF-κB), signal transducer and activator of transcription 3 (STAT3), Bcl-2-interacting mediator of cell death (Bim), 5' adenosine monophosphate-activated protein kinase (AMPK) and extracellular signal-regulated kinase (ERK)-mediated pathways to regulate cell survival, apoptosis, autophagy, mitochondrial dysfunction, oxidative damage and neuroinflammation in PD. Moreover, clinical evidence indicates that reduced plasma miR-124 levels may serve as a potential diagnostic biomarker in PD. This review provides an update of the pathogenic implication of miR-124 activity in PD and discusses its targeting potential for the development of future therapeutic strategies.
Collapse
|
65
|
Dopaminergic neuron injury in Parkinson's disease is mitigated by interfering lncRNA SNHG14 expression to regulate the miR-133b/ α-synuclein pathway. Aging (Albany NY) 2019; 11:9264-9279. [PMID: 31683259 PMCID: PMC6874444 DOI: 10.18632/aging.102330] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 09/22/2019] [Indexed: 02/06/2023]
Abstract
This study explored the influence of long non-coding RNA (lncRNA) SNHG14 on α-synuclein (α-syn) expression and Parkinson’s disease (PD) pathogenesis. Firstly, we found that the expression level of SNHG14 was elevated in brain tissues of PD mice. In MN9D cells, the rotenone treatment (1μmol/L) enhanced the binding between transcriptional factor SP-1 and SNHG14 promoter, thus promoting SNHG14 expression. Interference of SNHG14 ameliorated the DA neuron injury induced by rotenone. Next, we found an interaction between SNHG14 and miR-133b. Further study showed that miR-133b down-regulated α-syn expression by targeting its 3’-UTR of mRNA and SNHG14 could reverse the negative effect of miR-133b on α-syn expression. Interference of SNHG14 reduced rotenone-induced DA neuron damage through miR-133b in MN9D cells and α-syn was responsible for the protective effect of miR-133b. Similarly, interference of SNHG14 mitigated neuron injury in PD mouse model. All in all, silence of SNHG14 mitigates dopaminergic neuron injury by down-regulating α-syn via targeting miR-133b, which contributes to improving PD.
Collapse
|
66
|
Nuzziello N, Liguori M. The MicroRNA Centrism in the Orchestration of Neuroinflammation in Neurodegenerative Diseases. Cells 2019; 8:cells8101193. [PMID: 31581723 PMCID: PMC6829202 DOI: 10.3390/cells8101193] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 09/27/2019] [Accepted: 09/30/2019] [Indexed: 12/11/2022] Open
Abstract
MicroRNAs (miRNAs) are small non-coding RNAs with a unique ability to regulate the transcriptomic profile by binding to complementary regulatory RNA sequences. The ability of miRNAs to enhance (proinflammatory miRNAs) or restrict (anti-inflammatory miRNAs) inflammatory signalling within the central nervous system is an area of ongoing research, particularly in the context of disorders that feature neuroinflammation, including neurodegenerative diseases (NDDs). Furthermore, the discovery of competing endogenous RNAs (ceRNAs) has led to an increase in the complexity of miRNA-mediated gene regulation, with a paradigm shift from a unidirectional to a bidirectional regulation, where miRNA acts as both a regulator and is regulated by ceRNAs. Increasing evidence has revealed that ceRNAs, including long non-coding RNAs, circular RNAs, and pseudogenes, can act as miRNA sponges to regulate neuroinflammation in NDDs within complex cross-talk regulatory machinery, which is referred to as ceRNA network (ceRNET). In this review, we discuss the role of miRNAs in neuroinflammatory regulation and the manner in which cellular and vesicular ceRNETs could influence neuroinflammatory dynamics in complex multifactorial diseases, such as NDDs.
Collapse
Affiliation(s)
- Nicoletta Nuzziello
- National Research Council, Institute of Biomedical Technologies, Bari Unit, 70126 Bari, Italy.
| | - Maria Liguori
- National Research Council, Institute of Biomedical Technologies, Bari Unit, 70126 Bari, Italy.
| |
Collapse
|
67
|
Downregulation of lncRNA UCA1 ameliorates the damage of dopaminergic neurons, reduces oxidative stress and inflammation in Parkinson's disease through the inhibition of the PI3K/Akt signaling pathway. Int Immunopharmacol 2019; 75:105734. [PMID: 31301558 DOI: 10.1016/j.intimp.2019.105734] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 06/21/2019] [Accepted: 06/29/2019] [Indexed: 01/05/2023]
Abstract
This study is conducted to investigate the role of lncRNA urothelial carcinoma-associated 1 (UCA1) in the protection of dopaminergic neurons in Parkinson's disease (PD) through regulating the PI3K/Akt signaling pathway. PD rat model was induced by injection of 6-hydroxydopamine (6-OHDA) to damage the substantia nigra striatum. The successfully modeled PD rats were introduced with siRNA-negative control (NC) or UCA1-siRNA. The expression of UCA1 in neurobehavioral change, neuroinflammatory response and oxidative stress of PD rats were explored. The effect of UCA1 on the PI3K/Akt signaling pathway and downstream proteins IκBα and ERK was also investigated. The rats with PD exhibited aggregated neurobehavioral change, increased neuroinflammatory response and oxidative stress. Down-regulation of UCA1 up-regulated the expression of TH positive cells and DA content, reduced the apoptosis of substantia nigra neurons, the apoptosis of substantia nigra neurons and oxidative stress and improved the neuroinflammatory response in PD rats. Down-regulation of UCA1 inhibited the activation of the PI3K/AKT signaling pathway in substantia nigra of PD rats. Our study suggests that the downregulated lncRNA UCA1 ameliorates the damage of dopaminergic neurons, reduces oxidative stress and inflammation in PD rats through the inhibition of the PI3K/Akt signaling pathway.
Collapse
|
68
|
Duran RCD, Wei H, Kim DH, Wu JQ. Invited Review: Long non-coding RNAs: important regulators in the development, function and disorders of the central nervous system. Neuropathol Appl Neurobiol 2019; 45:538-556. [PMID: 30636336 PMCID: PMC6626588 DOI: 10.1111/nan.12541] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Accepted: 12/19/2018] [Indexed: 02/06/2023]
Abstract
Genome-wide transcriptional studies have demonstrated that tens of thousands of long non-coding RNAs (lncRNA) genes are expressed in the central nervous system (CNS) and that they exhibit tissue- and cell-type specificity. Their regulated and dynamic expression and their co-expression with protein-coding gene neighbours have led to the study of the functions of lncRNAs in CNS development and disorders. In this review, we describe the general characteristics, localization and classification of lncRNAs. We also elucidate the examples of the molecular mechanisms of nuclear and cytoplasmic lncRNA actions in the CNS and discuss common experimental approaches used to identify and unveil the functions of lncRNAs. Additionally, we provide examples of lncRNA studies of cell differentiation and CNS disorders including CNS injuries and neurodegenerative diseases. Finally, we review novel lncRNA-based therapies. Overall, this review highlights the important biological roles of lncRNAs in CNS functions and disorders.
Collapse
Affiliation(s)
- Raquel Cuevas-Diaz Duran
- The Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Center for Stem Cell and Regenerative Medicine, UT Brown Foundation Institute of Molecular Medicine, Houston, TX 77030, USA
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Ave. Morones Prieto 3000, Monterrey, N.L., 64710, Mexico
| | - Haichao Wei
- The Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Center for Stem Cell and Regenerative Medicine, UT Brown Foundation Institute of Molecular Medicine, Houston, TX 77030, USA
| | - Dong H. Kim
- The Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jia Qian Wu
- The Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Center for Stem Cell and Regenerative Medicine, UT Brown Foundation Institute of Molecular Medicine, Houston, TX 77030, USA
| |
Collapse
|
69
|
Grinman E, Espadas I, Puthanveettil SV. Emerging roles for long noncoding RNAs in learning, memory and associated disorders. Neurobiol Learn Mem 2019; 163:107034. [DOI: 10.1016/j.nlm.2019.107034] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 05/03/2019] [Accepted: 06/05/2019] [Indexed: 12/13/2022]
|
70
|
Bunch H, Choe H, Kim J, Jo DS, Jeon S, Lee S, Cho DH, Kang K. P-TEFb Regulates Transcriptional Activation in Non-coding RNA Genes. Front Genet 2019; 10:342. [PMID: 31068966 PMCID: PMC6491683 DOI: 10.3389/fgene.2019.00342] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 03/29/2019] [Indexed: 01/16/2023] Open
Abstract
Many non-coding RNAs (ncRNAs) serve as regulatory molecules in various physiological pathways, including gene expression in mammalian cells. Distinct from protein-coding RNA expression, ncRNA expression is regulated solely by transcription and RNA processing/stability. It is thus important to understand transcriptional regulation in ncRNA genes but is yet to be known completely. Previously, we identified that a subset of mammalian ncRNA genes is transcriptionally regulated by RNA polymerase II (Pol II) promoter-proximal pausing and in a tissue-specific manner. In this study, human ncRNA genes that are expressed in the early G1 phase, termed immediate early ncRNA genes, were monitored to assess the function of positive transcription elongation factor b (P-TEFb), a master Pol II pausing regulator for protein-coding genes, in ncRNA transcription. Our findings indicate that the expression of many ncRNA genes is induced in the G0–G1 transition and regulated by P-TEFb. Interestingly, a biphasic characteristic of P-TEFb-dependent transcription of serum responsive ncRNA genes was observed: Pol II carboxyl-terminal domain phosphorylated at serine 2 (S2) was largely increased in the transcription start site (TSS, -300 to +300) whereas overall, it was decreased in the gene body (GB, > +350) upon chemical inhibition of P-TEFb. In addition, the three representative, immediate early ncRNAs, whose expression is dependent on P-TEFb, metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), nuclear enriched abundant transcript 1 (NEAT1), and X-inactive specific transcript (XIST), were further analyzed for determining P-TEFb association. Taken together, our data suggest that transcriptional activation of many human ncRNAs utilizes the pausing and releasing of Pol II, and that the regulatory mechanism of transcriptional elongation in these genes requires the function of P-TEFb. Furthermore, we propose that ncRNA and mRNA transcription are regulated by similar mechanisms while P-TEFb inhibition unexpectedly increases S2 Pol II phosphorylation in the TSSs in many ncRNA genes. One Sentence Summary: P-TEFb regulates Pol II phosphorylation for transcriptional activation in many stimulus-inducible ncRNA genes.
Collapse
Affiliation(s)
- Heeyoun Bunch
- Department of Applied Biosciences, College of Agriculture and Life Sciences, Kyungpook National University, Daegu, South Korea
| | - Hyeseung Choe
- Department of Applied Biosciences, College of Agriculture and Life Sciences, Kyungpook National University, Daegu, South Korea
| | - Jongbum Kim
- Department of Transcriptome & Epigenome, Macrogen Incorporated, Seoul, South Korea
| | - Doo Sin Jo
- Institute of Life Science and Biotechnology, College of Natural Science, Kyungpook National University, Daegu, South Korea
| | - Soyeon Jeon
- Department of Applied Biosciences, College of Agriculture and Life Sciences, Kyungpook National University, Daegu, South Korea
| | - Sanghwa Lee
- Department of Applied Biosciences, College of Agriculture and Life Sciences, Kyungpook National University, Daegu, South Korea
| | - Dong-Hyung Cho
- Department of Life Science, College of Natural Science, Kyungpook National University, Daegu, South Korea
| | - Keunsoo Kang
- Department of Microbiology, College of Natural Sciences, Dankook University, Cheonan, South Korea
| |
Collapse
|
71
|
Boudreault S, Armero VES, Scott MS, Perreault JP, Bisaillon M. The Epstein-Barr virus EBNA1 protein modulates the alternative splicing of cellular genes. Virol J 2019; 16:29. [PMID: 30832682 PMCID: PMC6399920 DOI: 10.1186/s12985-019-1137-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Accepted: 02/25/2019] [Indexed: 12/13/2022] Open
Abstract
Background Alternative splicing (AS) is an important mRNA maturation step that allows increased variability and diversity of proteins in eukaryotes. AS is dysregulated in numerous diseases, and its implication in the carcinogenic process is well known. However, progress in understanding how oncogenic viruses modulate splicing, and how this modulation is involved in viral oncogenicity has been limited. Epstein-Barr virus (EBV) is involved in various cancers, and its EBNA1 oncoprotein is the only viral protein expressed in all EBV malignancies. Methods In the present study, the ability of EBNA1 to modulate the AS of cellular genes was assessed using a high-throughput RT-PCR approach to examine AS in 1238 cancer-associated genes. RNA immunoprecipitation coupled to RNA sequencing (RIP-Seq) assays were also performed to identify cellular mRNAs bound by EBNA1. Results Upon EBNA1 expression, we detected modifications to the AS profiles of 89 genes involved in cancer. Moreover, we show that EBNA1 modulates the expression levels of various splicing factors such as hnRNPA1, FOX-2, and SF1. Finally, RNA immunoprecipitation coupled to RIP-Seq assays demonstrate that EBNA1 immunoprecipitates specific cellular mRNAs, but not the ones that are spliced differently in EBNA1-expressing cells. Conclusion The EBNA1 protein can modulate the AS profiles of numerous cellular genes. Interestingly, this modulation protein does not require the RNA binding activity of EBNA1. Overall, these findings underline the novel role of EBNA1 as a cellular splicing modulator. Electronic supplementary material The online version of this article (10.1186/s12985-019-1137-5) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Simon Boudreault
- Département de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec, J1E 4K8, Canada
| | - Victoria E S Armero
- Département de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec, J1E 4K8, Canada
| | - Michelle S Scott
- Département de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec, J1E 4K8, Canada
| | - Jean-Pierre Perreault
- Département de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec, J1E 4K8, Canada
| | - Martin Bisaillon
- Département de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec, J1E 4K8, Canada.
| |
Collapse
|
72
|
Mugge L, Krafcik B, Pontasch G, Alnemari A, Neimat J, Gaudin D. A Review of Biomarkers Use in Parkinson with Deep Brain Stimulation: A Successful Past Promising a Bright Future. World Neurosurg 2019; 123:197-207. [DOI: 10.1016/j.wneu.2018.11.247] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Revised: 11/29/2018] [Accepted: 11/30/2018] [Indexed: 12/18/2022]
|
73
|
Elkouris M, Kouroupi G, Vourvoukelis A, Papagiannakis N, Kaltezioti V, Matsas R, Stefanis L, Xilouri M, Politis PK. Long Non-coding RNAs Associated With Neurodegeneration-Linked Genes Are Reduced in Parkinson's Disease Patients. Front Cell Neurosci 2019; 13:58. [PMID: 30853899 PMCID: PMC6396023 DOI: 10.3389/fncel.2019.00058] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Accepted: 02/05/2019] [Indexed: 11/13/2022] Open
Abstract
Transcriptome analysis has identified a plethora of long non-coding RNAs (lncRNAs) expressed in the human brain and associated with neurological diseases. However, whether lncRNAs expression levels correlate with Parkinson's disease (PD) pathogenesis remains unknown. Herein, we show that a number of lncRNA genes encompassing transcriptional units in close proximity to PD-linked protein-coding genes, including SNCA, LRRK2, PINK1, DJ-1, UCH-L1, MAPT and GBA1, are expressed in human dopaminergic cells and post-mortem material, such as cortex, Substantia Nigra and cerebellum. Interestingly, these lncRNAs are upregulated during neuronal differentiation of SH-SY5Y cells and of dopaminergic neurons generated from human fibroblast-derived induced pluripotent stem cells. Importantly, six lncRNAs are found under-expressed in the nigra and three in the cerebellum of PD patients compared to controls. Simultaneously, SNCA mRNA levels are increased in the nigra, while LRRK2 and PINK1 mRNA levels are decreased both in the nigra and the cerebellum of PD subjects compared to controls, indicating a possible correlation between the expression profile of the respective lncRNAs with their adjacent coding genes. Interestingly, all dysregulated lncRNAs are also detected in human peripheral blood mononuclear cells and four of them in exosomes derived from human cerebrospinal fluid, providing initial evidence for their potential use as diagnostic tools for PD. Our data raise the intriguing possibility that these lncRNAs may be involved in disease pathogenesis by regulating their neighboring PD-associated genes and may thus represent novel targets for the diagnosis and/or treatment of PD or related diseases.
Collapse
Affiliation(s)
- Maximilianos Elkouris
- Center for Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Georgia Kouroupi
- Laboratory of Cellular and Molecular Neurobiology, Hellenic Pasteur InstituteAthens, Greece
| | - Alexios Vourvoukelis
- Center of Clinical Research, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Nikolaos Papagiannakis
- Center of Clinical Research, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
- First Department of Neurology, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - Valeria Kaltezioti
- Center for Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Rebecca Matsas
- Laboratory of Cellular and Molecular Neurobiology, Hellenic Pasteur InstituteAthens, Greece
| | - Leonidas Stefanis
- Center of Clinical Research, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
- First Department of Neurology, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - Maria Xilouri
- Center of Clinical Research, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Panagiotis K. Politis
- Center for Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| |
Collapse
|
74
|
Robinson TJ, Freedman JA, Al Abo M, Deveaux AE, LaCroix B, Patierno BM, George DJ, Patierno SR. Alternative RNA Splicing as a Potential Major Source of Untapped Molecular Targets in Precision Oncology and Cancer Disparities. Clin Cancer Res 2019; 25:2963-2968. [PMID: 30755441 PMCID: PMC6653604 DOI: 10.1158/1078-0432.ccr-18-2445] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2018] [Revised: 09/18/2018] [Accepted: 01/29/2019] [Indexed: 12/12/2022]
Abstract
Studies of alternative RNA splicing (ARS) have the potential to provide an abundance of novel targets for development of new biomarkers and therapeutics in oncology, which will be necessary to improve outcomes for patients with cancer and mitigate cancer disparities. ARS, a key step in gene expression enabling individual genes to encode multiple proteins, is emerging as a major driver of abnormal phenotypic heterogeneity. Recent studies have begun to identify RNA splicing-related genetic and genomic variation in tumors, oncogenes dysregulated by ARS, RNA splice variants driving race-related cancer aggressiveness and drug response, spliceosome-dependent transformation, and RNA splicing-related immunogenic epitopes in cancer. In addition, recent studies have begun to identify and test, preclinically and clinically, approaches to modulate and exploit ARS for therapeutic application, including splice-switching oligonucleotides, small molecules targeting RNA splicing or RNA splice variants, and combination regimens with immunotherapies. Although ARS data hold such promise for precision oncology, inclusion of studies of ARS in translational and clinical cancer research remains limited. Technologic developments in sequencing and bioinformatics are being routinely incorporated into clinical oncology that permit investigation of clinically relevant ARS events, yet ARS remains largely overlooked either because of a lack of awareness within the clinical oncology community or perceived barriers to the technical complexity of analyzing ARS. This perspective aims to increase such awareness, propose immediate opportunities to improve identification and analysis of ARS, and call for bioinformaticians and cancer researchers to work together to address the urgent need to incorporate ARS into cancer biology and precision oncology.
Collapse
Affiliation(s)
| | - Jennifer A Freedman
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, North Carolina
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina
| | - Muthana Al Abo
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina
| | - April E Deveaux
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, North Carolina
| | - Bonnie LaCroix
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, North Carolina
| | - Brendon M Patierno
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, North Carolina
| | - Daniel J George
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, North Carolina
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina
| | - Steven R Patierno
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, North Carolina.
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina
| |
Collapse
|
75
|
Li J, Sun Y, Chen J. Transcriptome sequencing in a 6-hydroxydopamine rat model of Parkinson's disease. Genes Genet Syst 2019; 94:61-69. [PMID: 30713215 DOI: 10.1266/ggs.18-00036] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
The neurotoxin 6-hydroxydopamine (6-OHDA) has been widely exploited as a tool for modeling Parkinson's disease (PD) in the rat. This study aimed to provide a comprehensive profile of the mRNAs and long noncoding RNAs (lncRNAs) in rats treated with 6-OHDA as a model of PD. Female SPF Wistar rats were randomly divided into two groups: a PD model group and a control group. The PD model was induced by 6-OHDA injection. RNA-seq analysis was performed on 6-OHDA-treated rats and corresponding controls. Novel lncRNAs were identified. Differentially expressed genes (DEGs) and differentially expressed lncRNAs were identified in the PD group compared with controls. Gene Ontology function and pathway enrichment analyses were conducted on the DEGs, followed by construction of a protein-protein interaction (PPI) network. In addition, prediction of lncRNA target genes and function prediction of lncRNAs were performed. Moreover, microRNAs (miRNAs) that interacted with the DEGs and differentially expressed lncRNAs were predicted to construct a miRNA-lncRNA-mRNA regulatory network. A total of 536 DEGs and 512 differentially expressed lncRNAs (44 up-regulated and 10 down-regulated known lncRNAs; 407 up-regulated and 51 down-regulated novel lncRNAs) were identified in the PD rat model compared with controls. The DEGs and target genes of lncRNAs were mainly associated with the innate immune response, 2'-5'-oligoadenylate synthetase activity, GTPase activity, GTP binding and the RIG-I-like receptor signaling pathway. IRF7 and ISG15 were hub proteins in the PPI network. Many mRNAs and lncRNAs interacted with other molecules in a competing endogenous RNA network, such as MAS1, TMPRSS2, NPTX1, XLOC_016191, XLOC_026924 and XLOC_005439. We conclude that IRF7, ISG15, MAS1, TMPRSS2, NPTX1, XLOC_016191, XLOC_026924 and XLOC_005439 may contribute critical roles in the pathogenesis of PD.
Collapse
Affiliation(s)
- Jia Li
- Department of Neurology, China-Japan Union Hospital of Jilin University
| | - Yajuan Sun
- Department of Neurology, China-Japan Union Hospital of Jilin University
| | - Jiajun Chen
- Department of Neurology, China-Japan Union Hospital of Jilin University
| |
Collapse
|
76
|
Zucchelli S, Fedele S, Vatta P, Calligaris R, Heutink P, Rizzu P, Itoh M, Persichetti F, Santoro C, Kawaji H, Lassmann T, Hayashizaki Y, Carninci P, Forrest ARR, Gustincich S. Antisense Transcription in Loci Associated to Hereditary Neurodegenerative Diseases. Mol Neurobiol 2019; 56:5392-5415. [PMID: 30610612 PMCID: PMC6614138 DOI: 10.1007/s12035-018-1465-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Accepted: 12/19/2018] [Indexed: 12/12/2022]
Abstract
Natural antisense transcripts are common features of mammalian genes providing additional regulatory layers of gene expression. A comprehensive description of antisense transcription in loci associated to familial neurodegenerative diseases may identify key players in gene regulation and provide tools for manipulating gene expression. We take advantage of the FANTOM5 sequencing datasets that represent the largest collection to date of genome-wide promoter usage in almost 2000 human samples. Transcription start sites (TSSs) are mapped at high resolution by the use of a modified protocol of cap analysis of gene expression (CAGE) for high-throughput single molecule next-generation sequencing with Helicos (hCAGE). Here we present the analysis of antisense transcription at 17 loci associated to hereditary Alzheimer’s disease, Frontotemporal Dementia, Parkinson’s disease, Amyotrophic Lateral Sclerosis, and Huntington’s disease. We focused our analysis on libraries derived from brain tissues and primary cells. We also screened libraries from total blood and blood cell populations in the quest for peripheral biomarkers of neurodegenerative diseases. We identified 63 robust promoters in antisense orientation to genes associated to familial neurodegeneration. When applying a less stringent cutoff, this number increases to over 400. A subset of these promoters represents alternative TSSs for 24 FANTOM5 annotated long noncoding RNA (lncRNA) genes, in antisense orientation to 13 of the loci analyzed here, while the remaining contribute to the expression of additional transcript variants. Intersection with GWAS studies, sample ontology, and dynamic expression reveals association to specific genetic traits as well as cell and tissue types, not limited to neurodegenerative diseases. Antisense transcription was validated for a subset of genes, including those encoding for Microtubule-Associated Protein Tau, α-synuclein, Parkinsonism-associated deglycase DJ-1, and Leucin-Rich Repeat Kinase 2. This work provides evidence for the existence of additional regulatory mechanisms of the expression of neurodegenerative disease-causing genes by previously not-annotated and/or not-validated antisense long noncoding RNAs.
Collapse
Affiliation(s)
- Silvia Zucchelli
- Area of Neuroscience, SISSA, Trieste, Italy
- Department of Health Sciences and Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), University of Piemonte Orientale (UPO), Novara, Italy
| | | | - Paolo Vatta
- Area of Neuroscience, SISSA, Trieste, Italy
- Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genoa, Italy
| | - Raffaella Calligaris
- Area of Neuroscience, SISSA, Trieste, Italy
- Department of Medical, Surgical and Health Sciences, Clinical Neurology Unit, Cattinara University Hospital, Trieste, Italy
| | - Peter Heutink
- Section Medical Genomics, Department of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands
- Genome Biology of Neurodegenerative Diseases, Deutsches Zentrum fur Neurodegenerative Erkrankungen (DZNE), Standort, Tübingen, Germany
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Japan
- RIKEN Omics Science Center, Yokohama, Japan
| | - Patrizia Rizzu
- Section Medical Genomics, Department of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands
- Applied Genomics for Neurodegenerative Diseases, Deutsches Zentrum fur Neurodegenerative Erkrankungen (DZNE), Standort, Tübingen, Germany
| | - Masayoshi Itoh
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Japan
- RIKEN Omics Science Center, Yokohama, Japan
- RIKEN Preventive Medicine and Diagnosis Innovation Program, Wakō, Japan
| | - Francesca Persichetti
- Department of Health Sciences and Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), University of Piemonte Orientale (UPO), Novara, Italy
| | - Claudio Santoro
- Department of Health Sciences and Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), University of Piemonte Orientale (UPO), Novara, Italy
| | - Hideya Kawaji
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Japan
- RIKEN Omics Science Center, Yokohama, Japan
- RIKEN Preventive Medicine and Diagnosis Innovation Program, Wakō, Japan
- Preventive Medicine and Applied Genomics Unit, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Timo Lassmann
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Japan
- RIKEN Omics Science Center, Yokohama, Japan
- Telethon Kids Institute, The University of Western Australia, 100 Roberts Road, Subiaco, WA 6008 Australia
- Laboratory for Applied Computational Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yoshihide Hayashizaki
- RIKEN Omics Science Center, Yokohama, Japan
- RIKEN Preventive Medicine and Diagnosis Innovation Program, Wakō, Japan
| | - Piero Carninci
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Japan
- RIKEN Omics Science Center, Yokohama, Japan
- Laboratory for Transcriptome Technology, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Alistair R. R. Forrest
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Japan
- RIKEN Omics Science Center, Yokohama, Japan
- Laboratory for Genome Information Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | | | - Stefano Gustincich
- Area of Neuroscience, SISSA, Trieste, Italy
- Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genoa, Italy
| |
Collapse
|
77
|
LincRNA-p21 Inhibits Cell Viability and Promotes Cell Apoptosis in Parkinson's Disease through Activating α-Synuclein Expression. BIOMED RESEARCH INTERNATIONAL 2018; 2018:8181374. [PMID: 30671473 PMCID: PMC6323514 DOI: 10.1155/2018/8181374] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 12/10/2018] [Indexed: 12/15/2022]
Abstract
Long intergenic noncoding RNA-p21 (lincRNA-p21) has been reported to be increased in Parkinson's disease (PD). However, the function and underlying mechanisms of lincRNA-p21 remain not clear. In order to explore the role of lincRNA-p21 in PD, we used 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) to induce in vivo PD model (C57BL/6 mice) and utilized N-methyl-4-phenylpyridinium (MPP+) to create in vitro PD model (SH-SY5Y cells). Results showed that the expression level of lincRNA-p21 was increased significantly in PD models. High abundance of lincRNA-p21 inhibited viability and promoted apoptosis markedly in SH-SY5Y cells treated with MPP+. Mechanistically, further experiments demonstrated that upregulation of lincRNA-p21 could sponge miR-1277-5p and indirectly increase the expression of α-synuclein to suppress viability and activate apoptosis in SH-SY5Y cells. In short, our study illustrated that lincRNA-p21/miR-1277-5p axis regulated viability and apoptosis in SH-SY5Y cells treated with MPP+ via targeting α-synuclein. LincRNA-p21 might be a novel target for PD.
Collapse
|
78
|
|
79
|
Nery TGM, Silva EM, Tavares R, Passetti F. The Challenge to Search for New Nervous System Disease Biomarker Candidates: the Opportunity to Use the Proteogenomics Approach. J Mol Neurosci 2018; 67:150-164. [PMID: 30554402 DOI: 10.1007/s12031-018-1220-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 11/18/2018] [Indexed: 12/14/2022]
Abstract
Alzheimer's disease, Parkinson's disease, prion diseases, schizophrenia, and multiple sclerosis are the most common nervous system diseases, affecting millions of people worldwide. The current scientific literature associates these pathological conditions to abnormal expression levels of certain proteins, which in turn improved the knowledge concerning normal and affected brains. However, there is no available cure or preventive therapy for any of these disorders. Proteogenomics is a recent approach defined as the data integration of both nucleotide high-throughput sequencing and protein mass spectrometry technologies. In the last years, proteogenomics studies in distinct diseases have emerged as a strategy for the identification of uncharacterized proteoforms, which are all the different protein forms derived from a single gene. For many of these diseases, at least one protein used as biomarker presents more than one proteoform, which fosters the analysis of publicly available data focusing proteoforms. Given this context, we describe the most important biomarkers for each neurodegenerative disease and how genomics, transcriptomics, and proteomics separately contributed to unveil them. Finally, we present a selection of proteogenomics studies in which the combination of nucleotide and proteome high-throughput data, from cell lines or brain tissue samples, is used to uncover proteoforms not previously described. We believe that this new approach may improve our knowledge about nervous system diseases and brain function and an opportunity to identify new biomarker candidates.
Collapse
Affiliation(s)
- Thais Guimarães Martins Nery
- Laboratory of Functional Genomics and Bioinformatics, Oswaldo Cruz Institute, Fundação Oswaldo Cruz (Fiocruz), Manguinhos, Rio de Janeiro, Brazil
- Laboratory of Gene Expression Regulation, Carlos Chagas Institute, Fundação Oswaldo Cruz (Fiocruz), Curitiba, Brazil
| | - Esdras Matheus Silva
- Laboratory of Functional Genomics and Bioinformatics, Oswaldo Cruz Institute, Fundação Oswaldo Cruz (Fiocruz), Manguinhos, Rio de Janeiro, Brazil
- Laboratory of Gene Expression Regulation, Carlos Chagas Institute, Fundação Oswaldo Cruz (Fiocruz), Curitiba, Brazil
| | - Raphael Tavares
- Departamento de Bioquímica e Imunologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil
| | - Fabio Passetti
- Laboratory of Functional Genomics and Bioinformatics, Oswaldo Cruz Institute, Fundação Oswaldo Cruz (Fiocruz), Manguinhos, Rio de Janeiro, Brazil.
- Laboratory of Gene Expression Regulation, Carlos Chagas Institute, Fundação Oswaldo Cruz (Fiocruz), Curitiba, Brazil.
| |
Collapse
|
80
|
ARA lncRNA, is upregulated in liver and breast tumor tissues. Mol Biol Rep 2018; 46:77-82. [DOI: 10.1007/s11033-018-4447-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Accepted: 10/17/2018] [Indexed: 12/19/2022]
|
81
|
Kim A, Nigmatullina R, Zalyalova Z, Soshnikova N, Krasnov A, Vorobyeva N, Georgieva S, Kudrin V, Narkevich V, Ugrumov M. Upgraded Methodology for the Development of Early Diagnosis of Parkinson's Disease Based on Searching Blood Markers in Patients and Experimental Models. Mol Neurobiol 2018; 56:3437-3450. [PMID: 30128652 DOI: 10.1007/s12035-018-1315-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Accepted: 08/10/2018] [Indexed: 01/08/2023]
Abstract
Numerous attempts to develop an early diagnosis of Parkinson's disease (PD) by searching biomarkers in biological fluids were unsuccessful. The drawback of this methodology is searching markers in patients at the clinical stage without guarantee that they are also characteristic of either preclinical stage or prodromal stage (preclinical-prodromal stage). We attempted to upgrade this methodology by selecting only markers that are found both in patients and in PD animal models. HPLC and RT-PCR were used to estimate the concentration of amino acids, catecholamines/metabolites in plasma and gene expression in lymphocytes in 36 untreated early-stage PD patients and 52 controls, and in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-treated mice at modeling the clinical ("symptomatic") stage and preclinical-prodromal ("presymptomatic") stage of PD. It was shown that among 13 blood markers found in patients, 7 markers are characteristic of parkinsonian symptomatic mice and 3 markers of both symptomatic and presymptomatic mice. According to our suggestion, the detection of the same marker in patients and symptomatic animals indicates adequate reproduction of pathogenesis along the corresponding metabolic pathway, whereas the detection of the same marker in presymptomatic animals indicates its specificity for preclinical-prodromal stage. This means that the minority of markers found in patients-decreased concentration of L-3,4-dihydroxyphenylalanine (L-DOPA) and dihydroxyphenylacetic acid (DOPAC) and increased dopamine D3 receptor gene expression-are specific for preclinical-prodromal stage and are suitable for early diagnosis of PD. Thus, we upgraded a current methodology for development of early diagnosis of PD by searching blood markers not only in patients but also in parkinsonian animals.
Collapse
Affiliation(s)
- Alexander Kim
- Koltzov Institute of Developmental Biology, Russian Academy of Sciences, Moscow, Russia
| | - Razina Nigmatullina
- Kazan State Medical University, Ministry of Health of the Russian Federation, Kazan, Russia
| | - Zuleikha Zalyalova
- Kazan State Medical University, Ministry of Health of the Russian Federation, Kazan, Russia
- Kazan Hospital for War Veterans, Ministry of Health of the Republic of Tatarstan, Kazan, Russia
| | | | - Alexey Krasnov
- Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
| | | | - Sofia Georgieva
- Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | | | | | - Michael Ugrumov
- Koltzov Institute of Developmental Biology, Russian Academy of Sciences, Moscow, Russia.
- National Research University Higher School of Economics, Moscow, Russia.
| |
Collapse
|
82
|
Santiago JA, Bottero V, Potashkin JA. Evaluation of RNA Blood Biomarkers in the Parkinson's Disease Biomarkers Program. Front Aging Neurosci 2018; 10:157. [PMID: 29896099 PMCID: PMC5986959 DOI: 10.3389/fnagi.2018.00157] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Accepted: 05/08/2018] [Indexed: 01/01/2023] Open
Abstract
There is a high misdiagnosis rate between Parkinson’s disease (PD) and atypical parkinsonian disorders (APD), such as progressive supranuclear palsy (PSP), the second most common parkinsonian syndrome. In our earlier studies, we identified and replicated RNA blood biomarkers in several independent cohorts, however, replication in a cohort that includes PSP patients has not yet been performed. To this end, we evaluated the diagnostic potential of nine previously identified RNA biomarkers using quantitative PCR assays in 138 blood samples at baseline from PD, PSP and healthy controls (HCs) nested in the PD Biomarkers Program. Linear discriminant analysis showed that COPZ1 and PTPN1 distinguished PD from PSP patients with 62.5% accuracy. Five biomarkers, PTPN1, COPZ1, FAXDC2, SLC14A1s and NAMPT were useful for distinguishing PSP from controls with 69% accuracy. Several biomarkers correlated with clinical features in PD patients. SLC14A1-s correlated with Unified Parkinson’s Disease Rating Scale total and part III scores. In addition, COPZ1, PTPN1 and MLST8, correlated with Montreal Cognitive Assessment (MoCA). Interestingly, COPZ1, EFTUD2 and PTPN1 were downregulated in cognitively impaired (CI) compared to normal subjects. Linear discriminant analysis showed that age, PTPN1, COPZ1, FAXDC2, EFTUD2 and MLST8 distinguished CI from normal subjects with 65.9% accuracy. These results suggest that COPZ1 and PTPN1 are useful for distinguishing PD from PSP patients. In addition, the combination of PTPN1, COPZ1, FAXDC2, EFTUD2 and MLST8 is a useful signature for cognitive impairment. Evaluation of these biomarkers in a larger study will be a key to advancing these biomarkers into the clinic.
Collapse
Affiliation(s)
- Jose A Santiago
- Department of Cellular and Molecular Pharmacology, The Chicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, IL, United States
| | - Virginie Bottero
- Department of Cellular and Molecular Pharmacology, The Chicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, IL, United States
| | - Judith A Potashkin
- Department of Cellular and Molecular Pharmacology, The Chicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, IL, United States
| |
Collapse
|
83
|
Kolisnyk B, Al-Onaizi M, Soreq L, Barbash S, Bekenstein U, Haberman N, Hanin G, Kish MT, Souza da Silva J, Fahnestock M, Ule J, Soreq H, Prado VF, Prado MAM. Cholinergic Surveillance over Hippocampal RNA Metabolism and Alzheimer's-Like Pathology. Cereb Cortex 2018; 27:3553-3567. [PMID: 27312991 DOI: 10.1093/cercor/bhw177] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
The relationship between long-term cholinergic dysfunction and risk of developing dementia is poorly understood. Here we used mice with deletion of the vesicular acetylcholine transporter (VAChT) in the forebrain to model cholinergic abnormalities observed in dementia. Whole-genome RNA sequencing of hippocampal samples revealed that cholinergic failure causes changes in RNA metabolism. Remarkably, key transcripts related to Alzheimer's disease are affected. BACE1, for instance, shows abnormal splicing caused by decreased expression of the splicing regulator hnRNPA2/B1. Resulting BACE1 overexpression leads to increased APP processing and accumulation of soluble Aβ1-42. This is accompanied by age-related increases in GSK3 activation, tau hyperphosphorylation, caspase-3 activation, decreased synaptic markers, increased neuronal death, and deteriorating cognition. Pharmacological inhibition of GSK3 hyperactivation reversed deficits in synaptic markers and tau hyperphosphorylation induced by cholinergic dysfunction, indicating a key role for GSK3 in some of these pathological changes. Interestingly, in human brains there was a high correlation between decreased levels of VAChT and hnRNPA2/B1 levels with increased tau hyperphosphorylation. These results suggest that changes in RNA processing caused by cholinergic loss can facilitate Alzheimer's-like pathology in mice, providing a mechanism by which decreased cholinergic tone may increase risk of dementia.
Collapse
Affiliation(s)
| | - Mohammed Al-Onaizi
- Robarts Research Institute.,Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada N6A5K8
| | - Lilach Soreq
- Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK
| | - Shahar Barbash
- The Edmond and Lily Safra Center for Brain Science and The Silberman Institute of Life Sciences, The Edmond J Safra Campus, The Hebrew University of Jerusalem, Jerusalem 91904, Israel
| | - Uriya Bekenstein
- The Edmond and Lily Safra Center for Brain Science and The Silberman Institute of Life Sciences, The Edmond J Safra Campus, The Hebrew University of Jerusalem, Jerusalem 91904, Israel
| | - Nejc Haberman
- Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK
| | - Geula Hanin
- The Edmond and Lily Safra Center for Brain Science and The Silberman Institute of Life Sciences, The Edmond J Safra Campus, The Hebrew University of Jerusalem, Jerusalem 91904, Israel
| | - Maxine T Kish
- Robarts Research Institute.,Department of Physiology and Pharmacology
| | | | - Margaret Fahnestock
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, CanadaL8S 4K1
| | - Jernej Ule
- Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK
| | - Hermona Soreq
- The Edmond and Lily Safra Center for Brain Science and The Silberman Institute of Life Sciences, The Edmond J Safra Campus, The Hebrew University of Jerusalem, Jerusalem 91904, Israel
| | - Vania F Prado
- Robarts Research Institute.,Graduate Program in Neuroscience.,Department of Physiology and Pharmacology.,Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada N6A5K8
| | - Marco A M Prado
- Robarts Research Institute.,Graduate Program in Neuroscience.,Department of Physiology and Pharmacology.,Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada N6A5K8
| |
Collapse
|
84
|
Hu G, Niu F, Humburg BA, Liao K, Bendi S, Callen S, Fox HS, Buch S. Molecular mechanisms of long noncoding RNAs and their role in disease pathogenesis. Oncotarget 2018; 9:18648-18663. [PMID: 29719633 PMCID: PMC5915100 DOI: 10.18632/oncotarget.24307] [Citation(s) in RCA: 118] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Accepted: 01/13/2018] [Indexed: 12/13/2022] Open
Abstract
LncRNAs are long non-coding regulatory RNAs that are longer than 200 nucleotides. One of the major functions of lncRNAs is the regulation of specific gene expression at multiple steps including, recruitment and expression of basal transcription machinery, post-transcriptional modifications and epigenetics [1]. Emerging evidence suggests that lncRNAs also play a critical role in maintaining tissue homeostasis during physiological and pathological conditions, lipid homeostasis, as well as epithelial and smooth muscle cell homeostasis, a topic that has been elegantly reviewed [2-5]. While aberrant expression of lncRNAs has been implicated in several disease conditions, there is paucity of information about their contribution to the etiology of diseases [6]. Several studies have compared the expression of lncRNAs under normal and cancerous conditions and found differential expression of several lncRNAs, suggesting thereby an involvement of lncRNAs in disease processes [7, 8]. Furthermore, the ability of lncRNAs to influence epigenetic changes also underlies their role in disease pathogenesis since epigenetic regulation is known to play a critical role in many human diseases [1]. LncRNAs thus are not only involved in homeostatic functioning but also play a vital role in the progression of many diseases, thereby underscoring their potential as novel therapeutic targets for the alleviation of a variety of human disease conditions.
Collapse
Affiliation(s)
- Guoku Hu
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA
| | - Fang Niu
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA
| | - Bree A. Humburg
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA
| | - Ke Liao
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA
| | - Sunil Bendi
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA
| | - Shannon Callen
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA
| | - Howard S. Fox
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA
| | - Shilpa Buch
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA
| |
Collapse
|
85
|
The rs13388259 Intergenic Polymorphism in the Genomic Context of the BCYRN1 Gene Is Associated with Parkinson's Disease in the Hungarian Population. PARKINSONS DISEASE 2018; 2018:9351598. [PMID: 29850016 PMCID: PMC5903343 DOI: 10.1155/2018/9351598] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Accepted: 03/12/2018] [Indexed: 11/17/2022]
Abstract
Parkinson's disease (PD) is a common neurodegenerative disorder characterized by bradykinesia, resting tremor, and muscle rigidity. To date, approximately 50 genes have been implicated in PD pathogenesis, including both Mendelian genes with rare mutations and low-penetrance genes with common polymorphisms. Previous studies of low-penetrance genes focused on protein-coding genes, and less attention was given to long noncoding RNAs (lncRNAs). In this study, we aimed to investigate the susceptibility roles of lncRNA gene polymorphisms in the development of PD. Therefore, polymorphisms (n=15) of the PINK1-AS, UCHL1-AS, BCYRN1, SOX2-OT, ANRIL and HAR1A lncRNAs genes were genotyped in Hungarian PD patients (n=160) and age- and sex-matched controls (n=167). The rare allele of the rs13388259 intergenic polymorphism, located downstream of the BCYRN1 gene, was significantly more frequent among PD patients than control individuals (OR = 2.31; p=0.0015). In silico prediction suggested that this polymorphism is located in a noncoding region close to the binding site of the transcription factor HNF4A, which is a central regulatory hub gene that has been shown to be upregulated in the peripheral blood of PD patients. The rs13388259 polymorphism may interfere with the binding affinity of transcription factor HNF4A, potentially resulting in abnormal expression of target genes, such as BCYRN1.
Collapse
|
86
|
The long noncoding RNA HOTAIR promotes Parkinson's disease by upregulating LRRK2 expression. Oncotarget 2018; 8:24449-24456. [PMID: 28445933 PMCID: PMC5421861 DOI: 10.18632/oncotarget.15511] [Citation(s) in RCA: 85] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Accepted: 01/22/2017] [Indexed: 02/07/2023] Open
Abstract
Long noncoding RNAs (lncRNAs) have emerged recently as a new class of genes that regulate cellular processes. HOTAIR (Hox transcript antisense intergenic RNA), an approximately 2.2 kb long noncoding RNA transcribed from the HOXC locus, is upregulated in various diseases. However, the role of HOTAIR in Parkinson's disease (PD) remains unclear. A mouse model of PD was developed by intraperitoneal injection of MPTP. The expression of HOTAIR and LRRK2 were detected in the PD mice and in human neuroblastoma cell lines SH-SY5Y pretreated with MPP+. The effect of HOTAIR on the expression of LRRK2 was examined in SH-SY5Y cells through overexpressing or knockdown of HOTAIR. MTT and flow cytometry assay were performed to measure the cell viability and apoptosis of SH-SY5Y cells. We found that HOTAIR was up-regulated in midbrain tissue of MTPT induced PD mice and in SH-SY5Y cells exposed to MPP+. With the presence of HOTAIR overexpression in SH-SY5Y cells, the expression of LRRK2 was increased compared with that in the control. HOTAIR knockdown showed a protective effect on the cell viability of SH-SY5Y cells pretreated with MPP+. HOTAIR knockdown provided protection against MPP+-induced DA neuronal apoptosis by repressing caspase 3 activity. The finding that HOTAIR promoted PD induced by MPTP could add our understanding of the molecular mechanisms in PD. These findings suggested that inhibition of HOTAIR levels is an effective disease-modifying strategy in PD.
Collapse
|
87
|
Identification and Expression Analysis of Long Intergenic Noncoding RNAs. Methods Mol Biol 2018. [PMID: 29508295 DOI: 10.1007/978-1-4939-7710-9_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
Long intergenic noncoding RNAs (lincRNAs) have caught increasing attention in recent years. The advance of RNA-Seq has greatly facilitated the discovery of novel lincRNAs. However, the computational analysis of lincRNAs is still challenging. In this protocol, we presented a step-by-step protocol for computational analyses of lincRNAs, including read processing and alignment, transcript assembly, lincRNA identification and annotation, and differential expression analysis.
Collapse
|
88
|
Long non-coding and coding RNAs characterization in Peripheral Blood Mononuclear Cells and Spinal Cord from Amyotrophic Lateral Sclerosis patients. Sci Rep 2018; 8:2378. [PMID: 29402919 PMCID: PMC5799454 DOI: 10.1038/s41598-018-20679-5] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Accepted: 01/22/2018] [Indexed: 12/12/2022] Open
Abstract
Alteration in RNA metabolism, concerning both coding and long non-coding RNAs (lncRNAs), may play an important role in Amyotrophic Lateral Sclerosis (ALS) pathogenesis. In this work, we performed a whole transcriptome RNA-seq analysis to investigate the regulation of non-coding and coding RNAs in Sporadic ALS patients (SALS), mutated ALS patients (FUS, TARDBP and SOD1) and matched controls in Peripheral Blood Mononuclear Cells (PBMC). Selected transcripts were validated in spinal cord tissues. A total of 293 differentially expressed (DE) lncRNAs was found in SALS patients, whereas a limited amount of lncRNAs was deregulated in mutated patients. A total of 87 mRNAs was differentially expressed in SALS patients; affected genes showed an association with transcription regulation, immunity and apoptosis pathways. Taken together our data highlighted the importance of extending the knowledge on transcriptomic molecular alterations and on the significance of regulatory lncRNAs classes in the understanding of ALS disease. Our data brought the light on the importance of lncRNAs and mRNAs regulation in central and peripheral systems, offering starting points for new investigations about pathogenic mechanism involved in ALS disease.
Collapse
|
89
|
Zhang XQ, Wang ZL, Poon MW, Yang JH. Spatial-temporal transcriptional dynamics of long non-coding RNAs in human brain. Hum Mol Genet 2018; 26:3202-3211. [PMID: 28575308 DOI: 10.1093/hmg/ddx203] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 05/18/2017] [Indexed: 12/25/2022] Open
Abstract
The functional architecture of the human brain is greatly determined by the temporal and spatial regulation of the transcription process. However, the spatial and temporal transcriptional landscape of long non-coding RNAs (lncRNAs) during human brain development remains poorly understood. Here, we report the genome-wide lncRNA transcriptional analysis in an extensive series of 1340 post-mortem human brain specimens collected from 16 regions spanning the period from early embryo development to late adulthood. We discovered that lncRNA transcriptome dramatically changed during fetal development, while transited to a surprisingly relatively stable state after birth till the late adulthood. We also discovered that the transcription map of lncRNAs was spatially different, and that this spatial difference was developmentally regulated. Of the 16 brain regions explored (cerebellar cortex, thalamus, striatum, amygdala, hippocampus and 11 neocortex areas), cerebellar cortex showed the most distinct lncRNA expression features from all remaining brain regions throughout the whole developmental period, reflecting its unique developmental and functional features. Furthermore, by characterizing the functional modules and cellular processes of the spatial-temporal dynamic lncRNAs, we found that they were significantly associated with the RNA processing, neuron differentiation and synaptic signal transportation processes. Furthermore, we found that many lncRNAs associated with the neurodegenerative Alzheimer and Parkinson diseases were co-expressed in the fetal development of the human brain, and affected the convergent biological processes. In summary, our study provides a comprehensive map for lncRNA transcription dynamics in human brain development, which might shed light on the understanding of the molecular underpinnings of human brain function and disease.
Collapse
Affiliation(s)
- Xiao-Qin Zhang
- School of Medicine, South China University of Technology (SCUT), Guangzhou 510006, P. R. China
| | - Ze-Lin Wang
- RNA Medicine and Informatics Center, Key Laboratory of Gene Engineering of the Ministry of Education; State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, P. R. China
| | - Ming-Wai Poon
- Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, P. R. China
| | - Jian-Hua Yang
- RNA Medicine and Informatics Center, Key Laboratory of Gene Engineering of the Ministry of Education; State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, P. R. China
| |
Collapse
|
90
|
Zhou Y, Gu C, Li J, Zhu L, Huang G, Dai J, Huang H. Aberrantly expressed long noncoding RNAs and genes in Parkinson's disease. Neuropsychiatr Dis Treat 2018; 14:3219-3229. [PMID: 30538480 PMCID: PMC6257365 DOI: 10.2147/ndt.s178435] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
PURPOSE Parkinson's disease (PD) is a common neurodegenerative movement disorder, but the pathogenesis remains elusive. This study was aimed to explore key genes and long noncoding RNAs (lncRNAs) associated with PD. MATERIALS AND METHODS Three patients with PD and three normal controls were enrolled in the present study from July 12, 2017, to August 29, 2017. RNA sequencing and bioinformatics analysis were performed to obtain differentially expressed micro RNAs (DEmRNAs) and lncRNAs (DElncRNAs) between patients with PD and normal controls. PD-specific protein-protein interaction networks were constructed. DEmRNAs transcribed within a 100 kb window upstream or downstream of DElncRNAs were searched, which were defined as cis nearby targeted DEmRNAs of DElncRNAs. Datasets GSE57475 and GSE68719 were downloaded from the Gene Expression Omnibus database, which were used to validate the expression of selected DEmRNAs. RESULTS A total of 857 DEmRNAs and 77 DElncRNAs were obtained between PD and normal controls. Natural killer cell-mediated cytotoxicity was a significantly enriched pathway in PD. ERBB2, HSPB1, and MYC were three hub proteins of PD-specific protein-protein interaction network. LOC105378701-TAL1, LOC102724104-CX3CR1, LOC105375056-TREML1/TREML4, LOC105379392-ANK1, and LOC101928100-KLRK1/KLRD1 interactions were identified DElncRNA nearby targeted DEmRNA pairs in PD. Gene expression results validated by GSE57475 and GSE68719 were consistent with our RNA-sequencing results, generally. CONCLUSION This present study identified key genes and lncRNAs associated with PD, which will provide new clues for exploring the pathogenesis and developing potential biomarkers of PD.
Collapse
Affiliation(s)
- Yong Zhou
- Department of Neurology, The Second Affiliated Hospital of Nantong University, The First People's Hospital of Nantong, Nantong, China,
| | - Chengzhi Gu
- Department of Neurology, The Second Affiliated Hospital of Nantong University, The First People's Hospital of Nantong, Nantong, China,
| | - Jia Li
- Department of Neurology, The Second Affiliated Hospital of Nantong University, The First People's Hospital of Nantong, Nantong, China,
| | - Lianhai Zhu
- Department of Neurology, The Second Affiliated Hospital of Nantong University, The First People's Hospital of Nantong, Nantong, China,
| | - Guoxiang Huang
- Department of Neurology, The Second Affiliated Hospital of Nantong University, The First People's Hospital of Nantong, Nantong, China,
| | - Jie Dai
- Department of Neurology, The Second Affiliated Hospital of Nantong University, The First People's Hospital of Nantong, Nantong, China,
| | - Huaiyu Huang
- Department of Neurology, The Second Affiliated Hospital of Nantong University, The First People's Hospital of Nantong, Nantong, China,
| |
Collapse
|
91
|
Lo Piccolo L. Drosophila as a Model to Gain Insight into the Role of lncRNAs in Neurological Disorders. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2018; 1076:119-146. [PMID: 29951818 DOI: 10.1007/978-981-13-0529-0_8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
It is now clear that the majority of transcription in humans results in the production of long non-protein-coding RNAs (lncRNAs) with a variable length spanning from 200 bp up to several kilobases. To date, we have a limited understanding of the lncRNA function, but a huge number of evidences have suggested that lncRNAs represent an outstanding asset for cells. In particular, temporal and spatial expression of lncRNAs appears to be important for proper neurological functioning. Stunningly, abnormal lncRNA function has been found as being critical for the onset of neurological disorders. This chapter focus on the lncRNAs with a role in diseases affecting the central nervous system with particular regard for the lncRNAs causing those neurodegenerative diseases that exhibit dementia and/or motor dysfunctions. A specific section will be dedicated to the human neuronal lncRNAs that have been modelled in Drosophila. Finally, even if only few examples have been reported so far, an overview of the Drosophila lncRNAs with neurological functions will be also included in this chapter.
Collapse
Affiliation(s)
- Luca Lo Piccolo
- Department of Neurotherapeutics, Osaka University Graduate School of Medicine 2-2 Yamadaoka, Suita Osaka, 565-0871, Japan.
| |
Collapse
|
92
|
Leggio L, Vivarelli S, L'Episcopo F, Tirolo C, Caniglia S, Testa N, Marchetti B, Iraci N. microRNAs in Parkinson's Disease: From Pathogenesis to Novel Diagnostic and Therapeutic Approaches. Int J Mol Sci 2017; 18:ijms18122698. [PMID: 29236052 PMCID: PMC5751299 DOI: 10.3390/ijms18122698] [Citation(s) in RCA: 146] [Impact Index Per Article: 20.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Revised: 12/07/2017] [Accepted: 12/09/2017] [Indexed: 01/09/2023] Open
Abstract
Parkinson’s disease (PD) is the most prevalent central nervous system (CNS) movement disorder and the second most common neurodegenerative disease overall. PD is characterized by the progressive loss of dopaminergic (DAergic) neurons in the substantia nigra pars compacta (SNpc) within the midbrain, accumulation of alpha-synuclein (α-SYN) in Lewy bodies and neurites and excessive neuroinflammation. The neurodegenerative processes typically begin decades before the appearance of clinical symptoms. Therefore, the diagnosis is achievable only when the majority of the relevant DAergic neurons have already died and for that reason available treatments are only palliative at best. The causes and mechanism(s) of this devastating disease are ill-defined but complex interactions between genetic susceptibility and environmental factors are considered major contributors to the etiology of PD. In addition to the role of classical gene mutations in PD, the importance of regulatory elements modulating gene expression has been increasingly recognized. One example is the critical role played by microRNAs (miRNAs) in the development and homeostasis of distinct populations of neurons within the CNS and, in particular, in the context of PD. Recent reports demonstrate how distinct miRNAs are involved in the regulation of PD genes, whereas profiling approaches are unveiling variations in the abundance of certain miRNAs possibly relevant either to the onset or to the progression of the disease. In this review, we provide an overview of the miRNAs recently found to be implicated in PD etiology, with particular focus on their potential relevance as PD biomarkers, as well as their possible use in PD targeted therapy.
Collapse
Affiliation(s)
- Loredana Leggio
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, Torre Biologica, Via S. Sofia 97, 95125 Catania, Italy.
| | - Silvia Vivarelli
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, Torre Biologica, Via S. Sofia 97, 95125 Catania, Italy.
| | - Francesca L'Episcopo
- Neuropharmacology Section, OASI Institute for Research and Care on Mental Retardation and Brain Aging (IRCCS), 94018 Troina, Italy.
| | - Cataldo Tirolo
- Neuropharmacology Section, OASI Institute for Research and Care on Mental Retardation and Brain Aging (IRCCS), 94018 Troina, Italy.
| | - Salvo Caniglia
- Neuropharmacology Section, OASI Institute for Research and Care on Mental Retardation and Brain Aging (IRCCS), 94018 Troina, Italy.
| | - Nunzio Testa
- Neuropharmacology Section, OASI Institute for Research and Care on Mental Retardation and Brain Aging (IRCCS), 94018 Troina, Italy.
| | - Bianca Marchetti
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, Torre Biologica, Via S. Sofia 97, 95125 Catania, Italy.
- Neuropharmacology Section, OASI Institute for Research and Care on Mental Retardation and Brain Aging (IRCCS), 94018 Troina, Italy.
| | - Nunzio Iraci
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, Torre Biologica, Via S. Sofia 97, 95125 Catania, Italy.
| |
Collapse
|
93
|
Macías M, Alegre E, Díaz-Lagares A, Patiño A, Pérez-Gracia JL, Sanmamed M, López-López R, Varo N, González A. Liquid Biopsy: From Basic Research to Clinical Practice. Adv Clin Chem 2017; 83:73-119. [PMID: 29304904 DOI: 10.1016/bs.acc.2017.10.003] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Liquid biopsy refers to the molecular analysis in biological fluids of nucleic acids, subcellular structures, especially exosomes, and, in the context of cancer, circulating tumor cells. In the last 10 years, there has been an intensive research in liquid biopsy to achieve a less invasive and more precise personalized medicine. Molecular assessment of these circulating biomarkers can complement or even surrogate tissue biopsy. Because of this research, liquid biopsy has been introduced in clinical practice, especially in oncology, prenatal screening, and transplantation. Here we review the biology, methodological approaches, and clinical applications of the main biomarkers involved in liquid biopsy.
Collapse
Affiliation(s)
| | - Estibaliz Alegre
- Clínica Universidad de Navarra, Pamplona, Spain; The Health Research Institute of Navarra (IDISNA), Pamplona, Spain
| | - Angel Díaz-Lagares
- Translational Medical Oncology (Oncomet), Health Research Institute of Santiago (IDIS), University Clinical Hospital of Santiago (CHUS), CIBERONC, Santiago de Compostela, Spain; Roche-CHUS Joint Unit, University Clinical Hospital of Santiago (CHUS), Santiago de Compostela, Spain
| | - Ana Patiño
- Clínica Universidad de Navarra, Pamplona, Spain; The Health Research Institute of Navarra (IDISNA), Pamplona, Spain
| | - Jose L Pérez-Gracia
- Clínica Universidad de Navarra, Pamplona, Spain; The Health Research Institute of Navarra (IDISNA), Pamplona, Spain
| | - Miguel Sanmamed
- Yale University School of Medicine, New Haven, CT, United States
| | - Rafael López-López
- Translational Medical Oncology (Oncomet), Health Research Institute of Santiago (IDIS), University Clinical Hospital of Santiago (CHUS), CIBERONC, Santiago de Compostela, Spain; Roche-CHUS Joint Unit, University Clinical Hospital of Santiago (CHUS), Santiago de Compostela, Spain
| | - Nerea Varo
- Clínica Universidad de Navarra, Pamplona, Spain; The Health Research Institute of Navarra (IDISNA), Pamplona, Spain
| | - Alvaro González
- Clínica Universidad de Navarra, Pamplona, Spain; The Health Research Institute of Navarra (IDISNA), Pamplona, Spain.
| |
Collapse
|
94
|
Borrageiro G, Haylett W, Seedat S, Kuivaniemi H, Bardien S. A review of genome-wide transcriptomics studies in Parkinson's disease. Eur J Neurosci 2017; 47:1-16. [DOI: 10.1111/ejn.13760] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2017] [Revised: 09/26/2017] [Accepted: 10/19/2017] [Indexed: 12/14/2022]
Affiliation(s)
- Genevie Borrageiro
- Division of Molecular Biology and Human Genetics; Department of Biomedical Sciences; Faculty of Medicine and Health Sciences; Stellenbosch University; PO Box 241 Cape Town South Africa
| | - William Haylett
- Division of Molecular Biology and Human Genetics; Department of Biomedical Sciences; Faculty of Medicine and Health Sciences; Stellenbosch University; PO Box 241 Cape Town South Africa
| | - Soraya Seedat
- Department of Psychiatry; Faculty of Medicine and Health Sciences; Stellenbosch University; Cape Town South Africa
| | - Helena Kuivaniemi
- Division of Molecular Biology and Human Genetics; Department of Biomedical Sciences; Faculty of Medicine and Health Sciences; Stellenbosch University; PO Box 241 Cape Town South Africa
- Department of Psychiatry; Faculty of Medicine and Health Sciences; Stellenbosch University; Cape Town South Africa
| | - Soraya Bardien
- Division of Molecular Biology and Human Genetics; Department of Biomedical Sciences; Faculty of Medicine and Health Sciences; Stellenbosch University; PO Box 241 Cape Town South Africa
| |
Collapse
|
95
|
Consales C, Merla C, Marino C, Benassi B. The epigenetic component of the brain response to electromagnetic stimulation in Parkinson's Disease patients: A literature overview. Bioelectromagnetics 2017; 39:3-14. [PMID: 28990199 DOI: 10.1002/bem.22083] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Accepted: 08/20/2017] [Indexed: 12/12/2022]
Abstract
Modulations of epigenetic machinery, namely DNA methylation pattern, histone modification, and non-coding RNAs expression, have been recently included among the key determinants contributing to Parkinson's Disease (PD) aetiopathogenesis and response to therapy. Along this line of reasoning, a set of experimental findings are highlighting the epigenetic-based response to electromagnetic (EM) therapies used to alleviate PD symptomatology, mainly Deep Brain Stimulation (DBS) and Transcranial Magnetic Stimulation (TMS). Notwithstanding the proven efficacy of EM therapies, the precise molecular mechanisms underlying the brain response to these types of stimulations are still far from being elucidated. In this review we provide an overview of the epigenetic changes triggered by DBS and TMS in both PD patients and neurons from different experimental animal models. Furthermore, we also propose a critical overview of the exposure modalities currently applied, in order to evaluate the technical robustness and dosimetric control of the stimulation, which are key issues to be carefully assessed when new molecular findings emerge from experimental studies. Bioelectromagnetics. 39:3-14, 2018. © 2017 Wiley Periodicals, Inc.
Collapse
Affiliation(s)
- Claudia Consales
- ENEA-Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy
| | - Caterina Merla
- ENEA-Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy.,CNRS, Gustave Roussy, University of Paris-Sud, Université Paris-Saclay, Villejuif, France
| | - Carmela Marino
- ENEA-Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy
| | - Barbara Benassi
- ENEA-Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy
| |
Collapse
|
96
|
Shamir R, Klein C, Amar D, Vollstedt EJ, Bonin M, Usenovic M, Wong YC, Maver A, Poths S, Safer H, Corvol JC, Lesage S, Lavi O, Deuschl G, Kuhlenbaeumer G, Pawlack H, Ulitsky I, Kasten M, Riess O, Brice A, Peterlin B, Krainc D. Analysis of blood-based gene expression in idiopathic Parkinson disease. Neurology 2017; 89:1676-1683. [PMID: 28916538 DOI: 10.1212/wnl.0000000000004516] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Accepted: 07/23/2017] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE To examine whether gene expression analysis of a large-scale Parkinson disease (PD) patient cohort produces a robust blood-based PD gene signature compared to previous studies that have used relatively small cohorts (≤220 samples). METHODS Whole-blood gene expression profiles were collected from a total of 523 individuals. After preprocessing, the data contained 486 gene profiles (n = 205 PD, n = 233 controls, n = 48 other neurodegenerative diseases) that were partitioned into training, validation, and independent test cohorts to identify and validate a gene signature. Batch-effect reduction and cross-validation were performed to ensure signature reliability. Finally, functional and pathway enrichment analyses were applied to the signature to identify PD-associated gene networks. RESULTS A gene signature of 100 probes that mapped to 87 genes, corresponding to 64 upregulated and 23 downregulated genes differentiating between patients with idiopathic PD and controls, was identified with the training cohort and successfully replicated in both an independent validation cohort (area under the curve [AUC] = 0.79, p = 7.13E-6) and a subsequent independent test cohort (AUC = 0.74, p = 4.2E-4). Network analysis of the signature revealed gene enrichment in pathways, including metabolism, oxidation, and ubiquitination/proteasomal activity, and misregulation of mitochondria-localized genes, including downregulation of COX4I1, ATP5A1, and VDAC3. CONCLUSIONS We present a large-scale study of PD gene expression profiling. This work identifies a reliable blood-based PD signature and highlights the importance of large-scale patient cohorts in developing potential PD biomarkers.
Collapse
Affiliation(s)
- Ron Shamir
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Christine Klein
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - David Amar
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Eva-Juliane Vollstedt
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Michael Bonin
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Marija Usenovic
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Yvette C Wong
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Ales Maver
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Sven Poths
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Hershel Safer
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Jean-Christophe Corvol
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Suzanne Lesage
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Ofer Lavi
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Günther Deuschl
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Gregor Kuhlenbaeumer
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Heike Pawlack
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Igor Ulitsky
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Meike Kasten
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Olaf Riess
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Alexis Brice
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Borut Peterlin
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel
| | - Dimitri Krainc
- From the School of Computer Science (R.S., D.A., H.S.), Tel Aviv University, Israel; Institute of Neurogenetics (C.K., E.-J.V., H.P., M.K.), University of Lübeck, Germany; Department of Psychiatry and Psychotherapy (E.-J.V., M.K.), University of Lübeck, Germany; Institute of Medical Genetics and Applied Genomics (M.B., S.P., O.R.), University of Tübingen, Germany; IMGM Laboratories GmbH (M.B.), Martinsried, Germany; Mediterranean Institute for Life Sciences (M.U.), Split, Croatia; Department of Neurology (Y.C.W., D.K.), Northwestern University Feinberg School of Medicine, Chicago, IL; Clinical Institute of Medical Genetics (A.M., B.P.), University Medical Center Ljubljana, Slovenia; Sorbonne Universités (J.C.-C., S.L., A.B.), UPMC Université Paris 6 UMR S 1127, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Centre d'Investigation Clinique Pitié Neurosciences CIC-1422 (J.C.-C.), Paris, France; Machine Learning Technologies Group (O.L.), IBM Research-Haifa, Mount Carmel, Israel; Department of Neurology (G.D., G.K.), Kiel University, Germany; and Department of Biological Regulation (I.U.), Weizmann Institute of Science, Rehovot, Israel.
| |
Collapse
|
97
|
Bunch H. Gene regulation of mammalian long non-coding RNA. Mol Genet Genomics 2017; 293:1-15. [PMID: 28894972 DOI: 10.1007/s00438-017-1370-9] [Citation(s) in RCA: 97] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Accepted: 09/07/2017] [Indexed: 12/14/2022]
Abstract
RNA polymerase II (Pol II) transcribes two classes of RNAs, protein-coding and non-protein-coding (ncRNA) genes. ncRNAs are also synthesized by RNA polymerases I and III (Pol I and III). In humans, the number of ncRNA genes exceeds more than twice that of protein-coding genes. However, the history of studying Pol II-synthesized ncRNA is relatively short. Since early 2000s, important biological and pathological functions of these ncRNA genes have begun to be discovered and intensively studied. And transcription mechanisms of long non-coding RNA (lncRNA) have been recently reported. Transcription of lncRNAs utilizes some transcription factors and mechanisms shared in that of protein-coding genes. In addition, tissue specificity in lncRNA gene expression has been shown. LncRNAs play essential roles in regulating the expression of neighboring or distal genes through different mechanisms. This leads to the implication of lncRNAs in a wide variety of biological pathways and pathological development. In this review, the newly discovered transcription mechanisms, characteristics, and functions of lncRNA are discussed.
Collapse
Affiliation(s)
- Heeyoun Bunch
- School of Applied Biosciences, College of Agriculture and Life Sciences, Kyungpook National University, Agriculture & Life Sciences Building 1, Room 207, 80 Dae-Hak Ro, Daegu, Republic of Korea.
| |
Collapse
|
98
|
Neuronal-expressed microRNA-targeted pseudogenes compete with coding genes in the human brain. Transl Psychiatry 2017; 7:e1199. [PMID: 28786976 PMCID: PMC5611730 DOI: 10.1038/tp.2017.163] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Accepted: 06/07/2017] [Indexed: 12/28/2022] Open
Abstract
MicroRNAs orchestrate brain functioning via interaction with microRNA recognition elements (MRE) on target transcripts. However, the global impact of potential competition on the microRNA pool between coding and non-coding brain transcripts that share MREs with them remains unexplored. Here we report that non-coding pseudogene transcripts carrying MREs (PSG+MRE) often show duplicated origin, evolutionary conservation and higher expression in human temporal lobe neurons than comparable duplicated MRE-deficient pseudogenes (PSG-MRE). PSG+MRE participate in neuronal RNA-induced silencing complexes (RISC), indicating functional involvement. Furthermore, downregulation cell culture experiments validated bidirectional co-regulation of PSG+MRE with MRE-sharing coding transcripts, frequently not their mother genes, and with targeted microRNAs; also, PSG+MRE single-nucleotide polymorphisms associated with schizophrenia, bipolar disorder and autism, suggesting interaction with mental diseases. Our findings indicate functional roles of duplicated PSG+MRE in brain development and cognition, supporting physiological impact of the reciprocal co-regulation of PSG+MRE with MRE-sharing coding transcripts in human brain neurons.
Collapse
|
99
|
Ruiz-Sánchez E, Yescas P, Rodríguez-Violante M, Martínez-Rodríguez N, Díaz-López JN, Ochoa A, Valdes-Rojas SS, Magos-Rodríguez D, Rojas-Castañeda JC, Cervantes-Arriaga A, Canizales-Quinteros S, Rojas P. Association of polymorphisms and reduced expression levels of the NR4A2 gene with Parkinson's disease in a Mexican population. J Neurol Sci 2017; 379:58-63. [PMID: 28716280 DOI: 10.1016/j.jns.2017.05.029] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Revised: 04/03/2017] [Accepted: 05/15/2017] [Indexed: 12/31/2022]
Abstract
INTRODUCTION The NR4A2 transcription factor is important in the development, survival and phenotype of dopaminergic neurons and it is postulated as a possible biomarker for Parkinson's disease (PD). Therefore, our aim was to analyze in a sample of a Mexican population with idiopathic PD, mutations (in two hotspot mutation regions) and two polymorphisms (rs34884856 in promotor and rs35479735 intronic regions) of the NR4A2 gene. We also evaluate the levels of NR4A2 gene expression in peripheral blood for a Mexican population, and identify whether they are associated with NR4A2 gene polymorphisms. METHODS We conducted a case-control study, which included 227 idiopathic PD cases and 454 unrelated controls. Genetic variants of the NR4A2 gene were genotyped by high-resolution melting (HRM) and validated by an automated sequencing method. The gene expression was performed in peripheral blood using a real-time polymerase chain reaction. RESULTS The rs35479735 polymorphism was associated with a higher risk of developing PD. In addition, NR4A2 gene expression was significantly decreased in patients with PD. Linkage disequilibrium analysis showed a haplotype H4 (3C-3G) that showed lower levels of expression, and contained the risk alleles for both polymorphisms. CONCLUSIONS In summary, this is the first study in a Mexican population that considers the analysis of NR4A2 in patients with PD. An association was identified between genotype and mRNA expression levels of NR4A2 in patients with PD. These results suggest that polymorphisms and expression of the NR4A2 gene could play an important role in the risk of developing PD in Mexican populations.
Collapse
Affiliation(s)
- Elizabeth Ruiz-Sánchez
- Laboratory of Neurotoxicology, Instituto Nacional de Neurología y Neurocirugía, "Manuel Velasco Suárez", SS, Mexico City, Mexico
| | - Petra Yescas
- Department of Genetics, Instituto Nacional de Neurología y Neurocirugía, "Manuel Velasco Suárez", SS, Mexico City, Mexico
| | - Mayela Rodríguez-Violante
- Clinical Neurodegenerative Research Unit, Instituto Nacional de Neurología y Neurocirugía, "Manuel Velasco Suárez", SS, Mexico City, Mexico
| | | | - Jesica N Díaz-López
- Laboratory of Neurotoxicology, Instituto Nacional de Neurología y Neurocirugía, "Manuel Velasco Suárez", SS, Mexico City, Mexico
| | - Adriana Ochoa
- Department of Genetics, Instituto Nacional de Neurología y Neurocirugía, "Manuel Velasco Suárez", SS, Mexico City, Mexico
| | - Sergio S Valdes-Rojas
- Direction of Geriatric Attention, Instituto Nacional de las Personas Adultas Mayores (INAPAM), Mexico City, Mexico
| | - Daniel Magos-Rodríguez
- Laboratory of Neurotoxicology, Instituto Nacional de Neurología y Neurocirugía, "Manuel Velasco Suárez", SS, Mexico City, Mexico
| | | | - Amin Cervantes-Arriaga
- Clinical Neurodegenerative Research Unit, Instituto Nacional de Neurología y Neurocirugía, "Manuel Velasco Suárez", SS, Mexico City, Mexico
| | | | - Patricia Rojas
- Laboratory of Neurotoxicology, Instituto Nacional de Neurología y Neurocirugía, "Manuel Velasco Suárez", SS, Mexico City, Mexico.
| |
Collapse
|
100
|
Jiao F, Wang Q, Zhang P, Bu L, Yan J, Tian B. Expression signatures of long non-coding RNA in the substantia nigra of pre-symptomatic mouse model of Parkinson's disease. Behav Brain Res 2017; 331:123-130. [PMID: 28476570 DOI: 10.1016/j.bbr.2017.04.044] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 04/20/2017] [Accepted: 04/23/2017] [Indexed: 12/21/2022]
Abstract
Parkinson's disease (PD) is an age-dependent neurodegenerative disease that can be caused by a variety of factors. Growing evidence shows that prior to the motor phase of PD can express molecular or imaging markers. Many long non-coding RNAs (lncRNAs) have been identified in neurodegenerative disease. However, the biogenesis and function of lncRNAs in the pre-symptomatic stage of PD is poorly understood. Here, we profiled the expression of lncRNAs and mRNAs in the substantia nigra pars compacta (SNpc) of pre-symptomatic mice over-expressing human A30P*A53T α-synuclein by microarray analysis. Based on the Pearson correlation analysis, lncRNA/mRNA co-expression network was constructed. GO enrichment and pathway analysis of lncRNAs-coexpressed mRNAs was conducted to identify the related biological function and pathologic pathways. Real-time PCR was used to detect the expression pattern of lncRNAs. Approximately 756 lncRNAs were aberrantly expressed in the SNpc of early over-expressing human A30P*A53T α-synuclein transgenic mice, including 477 downregulated lncRNAs and 279 upregulated lncRNAs. GO analysis indicated that these lncRNAs-coexpressed mRNAs were targeted to regulation of transcription (ontology: biological process), membrane (ontology: cellular component), and protein binding (ontology: molecular function). Pathway analysis indicated that lncRNAs-coexpressed mRNAs were mostly enriched in axon guidance signaling pathway. In conclusion, the present study firstly identified a series of novel early PD-associated lncRNAs caused by mutant α-synuclein. Further study the function of these aberrantly expressed lncRNAs may provide insight into treatment of early PD.
Collapse
Affiliation(s)
- Fengjuan Jiao
- Department of Neurobiology, Tongji Medical School, Huazhong University of Science and Technology, 13th Hangkong Road, Wuhan, Hubei Province, 430030, PR China; Key Laboratory of Neurological Diseases, Ministry of Education, 13 Hangkong Road, Wuhan, Hubei Province, 430030, PR China; Institute for Brain Research, Huazhong University of Science and Technology, 13th Hangkong Road, Wuhan, Hubei Province, 430030, PR China
| | - Qingzhi Wang
- Department of Neurobiology, Tongji Medical School, Huazhong University of Science and Technology, 13th Hangkong Road, Wuhan, Hubei Province, 430030, PR China; Key Laboratory of Neurological Diseases, Ministry of Education, 13 Hangkong Road, Wuhan, Hubei Province, 430030, PR China; Institute for Brain Research, Huazhong University of Science and Technology, 13th Hangkong Road, Wuhan, Hubei Province, 430030, PR China
| | - Pei Zhang
- Department of Neurobiology, Tongji Medical School, Huazhong University of Science and Technology, 13th Hangkong Road, Wuhan, Hubei Province, 430030, PR China; Key Laboratory of Neurological Diseases, Ministry of Education, 13 Hangkong Road, Wuhan, Hubei Province, 430030, PR China; Institute for Brain Research, Huazhong University of Science and Technology, 13th Hangkong Road, Wuhan, Hubei Province, 430030, PR China
| | - Lulu Bu
- Department of Neurobiology, Tongji Medical School, Huazhong University of Science and Technology, 13th Hangkong Road, Wuhan, Hubei Province, 430030, PR China; Key Laboratory of Neurological Diseases, Ministry of Education, 13 Hangkong Road, Wuhan, Hubei Province, 430030, PR China; Institute for Brain Research, Huazhong University of Science and Technology, 13th Hangkong Road, Wuhan, Hubei Province, 430030, PR China
| | - Jianguo Yan
- Department of Neurobiology, Tongji Medical School, Huazhong University of Science and Technology, 13th Hangkong Road, Wuhan, Hubei Province, 430030, PR China; Key Laboratory of Neurological Diseases, Ministry of Education, 13 Hangkong Road, Wuhan, Hubei Province, 430030, PR China; Institute for Brain Research, Huazhong University of Science and Technology, 13th Hangkong Road, Wuhan, Hubei Province, 430030, PR China
| | - Bo Tian
- Department of Neurobiology, Tongji Medical School, Huazhong University of Science and Technology, 13th Hangkong Road, Wuhan, Hubei Province, 430030, PR China; Key Laboratory of Neurological Diseases, Ministry of Education, 13 Hangkong Road, Wuhan, Hubei Province, 430030, PR China; Institute for Brain Research, Huazhong University of Science and Technology, 13th Hangkong Road, Wuhan, Hubei Province, 430030, PR China.
| |
Collapse
|