Literature DB >> 23817781

Long non-coding RNAs: novel targets for nervous system disease diagnosis and therapy.

Irfan A Qureshi1, Mark F Mehler.   

Abstract

The human genome encodes tens of thousands of long non-coding RNAs (lncRNAs), a novel and important class of genes. Our knowledge of lncRNAs has grown exponentially since their discovery within the last decade. lncRNAs are expressed in a highly cell- and tissue-specific manner, and are particularly abundant within the nervous system. lncRNAs are subject to post-transcriptional processing and inter- and intra-cellular transport. lncRNAs act via a spectrum of molecular mechanisms leveraging their ability to engage in both sequence-specific and conformational interactions with diverse partners (DNA, RNA, and proteins). Because of their size, lncRNAs act in a modular fashion, bringing different macromolecules together within the three-dimensional context of the cell. lncRNAs thus coordinate the execution of transcriptional, post-transcriptional, and epigenetic processes and critical biological programs (growth and development, establishment of cell identity, and deployment of stress responses). Emerging data reveal that lncRNAs play vital roles in mediating the developmental complexity, cellular diversity, and activity-dependent plasticity that are hallmarks of brain. Corresponding studies implicate these factors in brain aging and the pathophysiology of brain disorders, through evolving paradigms including the following: (i) genetic variation in lncRNA genes causes disease and influences susceptibility; (ii) epigenetic deregulation of lncRNAs genes is associated with disease; (iii) genomic context links lncRNA genes to disease genes and pathways; and (iv) lncRNAs are otherwise interconnected with known pathogenic mechanisms. Hence, lncRNAs represent prime targets that can be exploited for diagnosing and treating nervous system diseases. Such clinical applications are in the early stages of development but are rapidly advancing because of existing expertise and technology platforms that are readily adaptable for these purposes.

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Year:  2013        PMID: 23817781      PMCID: PMC3805860          DOI: 10.1007/s13311-013-0199-0

Source DB:  PubMed          Journal:  Neurotherapeutics        ISSN: 1878-7479            Impact factor:   7.620


  135 in total

1.  A novel imprinted gene, encoding a RING zinc-finger protein, and overlapping antisense transcript in the Prader-Willi syndrome critical region.

Authors:  M T Jong; T A Gray; Y Ji; C C Glenn; S Saitoh; D J Driscoll; R D Nicholls
Journal:  Hum Mol Genet       Date:  1999-05       Impact factor: 6.150

2.  Increased BACE1 mRNA and noncoding BACE1-antisense transcript in sporadic inclusion-body myositis muscle fibers--possibly caused by endoplasmic reticulum stress.

Authors:  Anna Nogalska; W King Engel; Valerie Askanas
Journal:  Neurosci Lett       Date:  2010-03-15       Impact factor: 3.046

Review 3.  Neural mechanisms of ageing and cognitive decline.

Authors:  Nicholas A Bishop; Tao Lu; Bruce A Yankner
Journal:  Nature       Date:  2010-03-25       Impact factor: 49.962

4.  Protein typing of circulating microvesicles allows real-time monitoring of glioblastoma therapy.

Authors:  Huilin Shao; Jaehoon Chung; Leonora Balaj; Alain Charest; Darell D Bigner; Bob S Carter; Fred H Hochberg; Xandra O Breakefield; Ralph Weissleder; Hakho Lee
Journal:  Nat Med       Date:  2012-11-11       Impact factor: 53.440

5.  Structural and functional characterization of noncoding repetitive RNAs transcribed in stressed human cells.

Authors:  Rut Valgardsdottir; Ilaria Chiodi; Manuela Giordano; Fabio Cobianchi; Silvano Riva; Giuseppe Biamonti
Journal:  Mol Biol Cell       Date:  2005-03-23       Impact factor: 4.138

6.  Variable imprinting of H19 and IGF2 in fetal cerebellum and medulloblastoma.

Authors:  S Albrecht; A Waha; A Koch; J A Kraus; C G Goodyer; T Pietsch
Journal:  J Neuropathol Exp Neurol       Date:  1996-12       Impact factor: 3.685

7.  Long non-coding antisense RNA controls Uchl1 translation through an embedded SINEB2 repeat.

Authors:  Claudia Carrieri; Laura Cimatti; Marta Biagioli; Anne Beugnet; Silvia Zucchelli; Stefania Fedele; Elisa Pesce; Isidre Ferrer; Licio Collavin; Claudio Santoro; Alistair R R Forrest; Piero Carninci; Stefano Biffo; Elia Stupka; Stefano Gustincich
Journal:  Nature       Date:  2012-10-14       Impact factor: 49.962

8.  Chromosome 9p21 SNPs Associated with Multiple Disease Phenotypes Correlate with ANRIL Expression.

Authors:  Michael S Cunnington; Mauro Santibanez Koref; Bongani M Mayosi; John Burn; Bernard Keavney
Journal:  PLoS Genet       Date:  2010-04-08       Impact factor: 5.917

9.  Disruption of a large intergenic noncoding RNA in subjects with neurodevelopmental disabilities.

Authors:  Michael E Talkowski; Gilles Maussion; Liam Crapper; Jill A Rosenfeld; Ian Blumenthal; Carrie Hanscom; Colby Chiang; Amelia Lindgren; Shahrin Pereira; Douglas Ruderfer; Alpha B Diallo; Juan Pablo Lopez; Gustavo Turecki; Elizabeth S Chen; Carolina Gigek; David J Harris; Va Lip; Yu An; Marta Biagioli; Marcy E Macdonald; Michael Lin; Stephen J Haggarty; Pamela Sklar; Shaun Purcell; Manolis Kellis; Stuart Schwartz; Lisa G Shaffer; Marvin R Natowicz; Yiping Shen; Cynthia C Morton; James F Gusella; Carl Ernst
Journal:  Am J Hum Genet       Date:  2012-12-07       Impact factor: 11.025

10.  Widespread transcription at neuronal activity-regulated enhancers.

Authors:  Tae-Kyung Kim; Martin Hemberg; Jesse M Gray; Allen M Costa; Daniel M Bear; Jing Wu; David A Harmin; Mike Laptewicz; Kellie Barbara-Haley; Scott Kuersten; Eirene Markenscoff-Papadimitriou; Dietmar Kuhl; Haruhiko Bito; Paul F Worley; Gabriel Kreiman; Michael E Greenberg
Journal:  Nature       Date:  2010-04-14       Impact factor: 49.962

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  57 in total

Review 1.  The roles and regulation of Polycomb complexes in neural development.

Authors:  Matthew Corley; Kristen L Kroll
Journal:  Cell Tissue Res       Date:  2014-11-01       Impact factor: 5.249

2.  Characterization of the hypothalamic transcriptome in response to food deprivation reveals global changes in long noncoding RNA, and cell cycle response genes.

Authors:  Hao Jiang; Thero Modise; Richard Helm; Roderick V Jensen; Deborah J Good
Journal:  Genes Nutr       Date:  2015-10-16       Impact factor: 5.523

Review 3.  Epigenetics components of aging in the central nervous system.

Authors:  Yue-Qiang Zhao; I King Jordan; Victoria V Lunyak
Journal:  Neurotherapeutics       Date:  2013-10       Impact factor: 7.620

4.  Looking above but not beyond the genome for therapeutics in neurology and psychiatry: epigenetic proteins and RNAs find a new focus.

Authors:  Manuela Basso; Sama Sleiman; Rajiv R Ratan
Journal:  Neurotherapeutics       Date:  2013-10       Impact factor: 7.620

5.  Altered miRNA landscape of the anterior cingulate cortex is associated with potential loss of key neuronal functions in depressed brain.

Authors:  Yuta Yoshino; Bhaskar Roy; Yogesh Dwivedi
Journal:  Eur Neuropsychopharmacol       Date:  2020-06-26       Impact factor: 4.600

Review 6.  LncRNAs: macromolecules with big roles in neurobiology and neurological diseases.

Authors:  Ye Chen; Jun Zhou
Journal:  Metab Brain Dis       Date:  2017-02-04       Impact factor: 3.584

Review 7.  Long non-coding RNAs: modulators of nuclear structure and function.

Authors:  Jan H Bergmann; David L Spector
Journal:  Curr Opin Cell Biol       Date:  2013-09-20       Impact factor: 8.382

8.  No Evidence for Recent Selection at FOXP2 among Diverse Human Populations.

Authors:  Elizabeth Grace Atkinson; Amanda Jane Audesse; Julia Adela Palacios; Dean Michael Bobo; Ashley Elizabeth Webb; Sohini Ramachandran; Brenna Mariah Henn
Journal:  Cell       Date:  2018-08-02       Impact factor: 41.582

Review 9.  Integrating the roles of long and small non-coding RNA in brain function and disease.

Authors:  G Barry
Journal:  Mol Psychiatry       Date:  2014-01-28       Impact factor: 15.992

Review 10.  Noncoding RNAs in neurodegeneration.

Authors:  Evgenia Salta; Bart De Strooper
Journal:  Nat Rev Neurosci       Date:  2017-08-17       Impact factor: 34.870

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