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Mentioned by

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5 X users
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1 Redditor

Readers on

mendeley
61 Mendeley
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Article details
Title
Differential 3’ processing of specific transcripts expands regulatory and protein diversity across neuronal cell types
Published in
eLife, March 2018
DOI 10.7554/elife.34042
Pubmed ID
Authors
Abstract

Alternative polyadenylation (APA) regulates mRNA translation, stability, and protein localization. However, it is unclear to what extent APA regulates these processes uniquely in specific cell types. Using a new technique, cTag-PAPERCLIP, we discovered significant differences in APA between the principal types of mouse cerebellar neurons, the Purkinje and granule cells, as well as between proliferating and differentiated granule cells. Transcripts that differed in APA in these comparisons were enriched in key neuronal functions and many differed in coding sequence in addition to 3'UTR length. We characterize Memo1, a transcript that shifted from expressing a short 3'UTR isoform to a longer one during granule cell differentiation. We show that Memo1 regulates granule cell precursor proliferation and that its long 3'UTR isoform is targeted by miR-124, contributing to its downregulation during development. Our findings provide insight into roles for APA in specific cell types and establish a platform for further functional studies.

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 28%
Researcher 11 18%
Student > Bachelor 6 10%
Professor > Associate Professor 5 8%
Student > Doctoral Student 3 5%
Other 8 13%
Unknown 11 18%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 30%
Neuroscience 13 21%
Agricultural and Biological Sciences 11 18%
Computer Science 2 3%
Mathematics 1 2%
Other 4 7%
Unknown 12 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 January 2020.
All research outputs
#13,348,775
of 23,028,364 outputs
Outputs from eLife
#11,457
of 13,961 outputs
Outputs of similar age
#165,820
of 330,380 outputs
Outputs of similar age from eLife
#300
of 344 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,961 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.9. This one is in the 16th percentile – i.e., 16% 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 330,380 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 344 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.