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Mendeley readers
Attention Score in Context
| Title |
Cell type-specific CLIP reveals that NOVA regulates cytoskeleton interactions in motoneurons
|
|---|---|
| Published in |
Genome Biology, August 2018
|
| DOI | 10.1186/s13059-018-1493-2 |
| Pubmed ID | |
| Authors |
Yuan Yuan, Shirley Xie, Jennifer C. Darnell, Andrew J. Darnell, Yuhki Saito, Hemali Phatnani, Elisabeth A. Murphy, Chaolin Zhang, Tom Maniatis, Robert B. Darnell |
| Abstract |
Alternative RNA processing plays an essential role in shaping cell identity and connectivity in the central nervous system. This is believed to involve differential regulation of RNA processing in various cell types. However, in vivo study of cell type-specific post-transcriptional regulation has been a challenge. Here, we describe a sensitive and stringent method combining genetics and CLIP (crosslinking and immunoprecipitation) to globally identify regulatory interactions between NOVA and RNA in the mouse spinal cord motoneurons. We developed a means of undertaking motoneuron-specific CLIP to explore motoneuron-specific protein-RNA interactions relative to studies of the whole spinal cord in mouse. This allowed us to pinpoint differential RNA regulation specific to motoneurons, revealing a major role for NOVA in regulating cytoskeleton interactions in motoneurons. In particular, NOVA specifically promotes the palmitoylated isoform of the cytoskeleton protein Septin 8 in motoneurons, which enhances dendritic arborization. Our study demonstrates that cell type-specific RNA regulation is important for fine tuning motoneuron physiology and highlights the value of defining RNA processing regulation at single cell type resolution. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 32% |
| Researcher | 10 | 21% |
| Other | 4 | 9% |
| Student > Bachelor | 3 | 6% |
| Student > Master | 3 | 6% |
| Other | 4 | 9% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 34% |
| Neuroscience | 10 | 21% |
| Agricultural and Biological Sciences | 7 | 15% |
| Medicine and Dentistry | 2 | 4% |
| Chemical Engineering | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 10 | 21% |
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 20 December 2021.
All research outputs
#15,175,718
of 25,385,509 outputs
Outputs from Genome Biology
#3,933
of 4,468 outputs
Outputs of similar age
#179,646
of 340,605 outputs
Outputs of similar age from Genome Biology
#65
of 67 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 340,605 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.