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The long non-coding RNA NEAT1 is responsive to neuronal activity and is associated with hyperexcitability states

Overview of attention for article published in Scientific Reports, January 2017
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Title
The long non-coding RNA NEAT1 is responsive to neuronal activity and is associated with hyperexcitability states
Published in
Scientific Reports, January 2017
DOI 10.1038/srep40127
Pubmed ID
Authors

Guy Barry, James A. Briggs, Do Won Hwang, Sam P. Nayler, Patrick R. J. Fortuna, Nicky Jonkhout, Fabien Dachet, Jesper L. V. Maag, Pieter Mestdagh, Erin M. Singh, Lotta Avesson, Dominik C. Kaczorowski, Ezgi Ozturk, Nigel C. Jones, Irina Vetter, Luis Arriola-Martinez, Jianfei Hu, Gloria R. Franco, Victoria M. Warn, Andrew Gong, Marcel E. Dinger, Frank Rigo, Leonard Lipovich, Margaret J. Morris, Terence J. O’Brien, Dong Soo Lee, Jeffrey A. Loeb, Seth Blackshaw, John S. Mattick, Ernst J. Wolvetang

Abstract

Despite their abundance, the molecular functions of long non-coding RNAs in mammalian nervous systems remain poorly understood. Here we show that the long non-coding RNA, NEAT1, directly modulates neuronal excitability and is associated with pathological seizure states. Specifically, NEAT1 is dynamically regulated by neuronal activity in vitro and in vivo, binds epilepsy-associated potassium channel-interacting proteins including KCNAB2 and KCNIP1, and induces a neuronal hyper-potentiation phenotype in iPSC-derived human cortical neurons following antisense oligonucleotide knockdown. Next generation sequencing reveals a strong association of NEAT1 with increased ion channel gene expression upon activation of iPSC-derived neurons following NEAT1 knockdown. Furthermore, we show that while NEAT1 is acutely down-regulated in response to neuronal activity, repeated stimulation results in NEAT1 becoming chronically unresponsive in independent in vivo rat model systems relevant to temporal lobe epilepsy. We extended previous studies showing increased NEAT1 expression in resected cortical tissue from high spiking regions of patients suffering from intractable seizures. Our results indicate a role for NEAT1 in modulating human neuronal activity and suggest a novel mechanistic link between an activity-dependent long non-coding RNA and epilepsy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 1%
Canada 1 1%
Unknown 97 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 19%
Student > Bachelor 13 13%
Researcher 12 12%
Student > Master 12 12%
Student > Doctoral Student 6 6%
Other 17 17%
Unknown 20 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 31%
Agricultural and Biological Sciences 18 18%
Neuroscience 15 15%
Medicine and Dentistry 5 5%
Computer Science 3 3%
Other 6 6%
Unknown 21 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 May 2019.
All research outputs
#14,266,012
of 23,305,591 outputs
Outputs from Scientific Reports
#66,167
of 125,960 outputs
Outputs of similar age
#224,963
of 422,989 outputs
Outputs of similar age from Scientific Reports
#2,125
of 3,836 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 125,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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We're also able to compare this research output to 3,836 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.