| Title |
R-Loops in Motor Neuron Diseases
|
|---|---|
| Published in |
Molecular Neurobiology, July 2018
|
| DOI | 10.1007/s12035-018-1246-y |
| Pubmed ID | |
| Authors |
Martina G. L. Perego, Michela Taiana, Nereo Bresolin, Giacomo P. Comi, Stefania Corti |
| Abstract |
R loops are transient three-stranded nucleic acid structures that form physiologically during transcription when a nascent RNA transcript hybridizes with the DNA template strand, leaving a single strand of displaced nontemplate DNA. However, aberrant persistence of R-loops can cause DNA damage by inducing genomic instability. Indeed, evidence has emerged that R-loops might represent a key element in the pathogenesis of human diseases, including cancer, neurodegeneration, and motor neuron disorders. Mutations in genes directly involved in R-loop biology, such as SETX (senataxin), or unstable DNA expansion eliciting R-loop generation, such as C9ORF72 HRE, can cause DNA damage and ultimately result in motor neuron cell death. In this review, we discuss current advancements in this field with a specific focus on motor neuron diseases associated with deregulation of R-loop structures. These mechanisms can represent novel therapeutic targets for these devastating, incurable diseases. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 29% |
| Researcher | 11 | 13% |
| Student > Master | 9 | 11% |
| Student > Bachelor | 6 | 7% |
| Professor | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 23 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 35 | 42% |
| Neuroscience | 9 | 11% |
| Agricultural and Biological Sciences | 7 | 8% |
| Engineering | 3 | 4% |
| Chemistry | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 23 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 July 2018.
All research outputs
#18,645,475
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Outputs from Molecular Neurobiology
#2,492
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Outputs of similar age
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Outputs of similar age from Molecular Neurobiology
#99
of 135 outputs
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