↓ Skip to main content

Modeling key pathological features of frontotemporal dementia with C9ORF72 repeat expansion in iPSC-derived human neurons

Overview of attention for article published in Acta Neuropathologica, July 2013
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#15 of 2,527)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
41 news outlets
blogs
3 blogs
twitter
2 X users
patent
7 patents

Citations

dimensions_citation
283 Dimensions

Readers on

mendeley
397 Mendeley
citeulike
1 CiteULike
Title
Modeling key pathological features of frontotemporal dementia with C9ORF72 repeat expansion in iPSC-derived human neurons
Published in
Acta Neuropathologica, July 2013
DOI 10.1007/s00401-013-1149-y
Pubmed ID
Authors

Sandra Almeida, Eduardo Gascon, Hélène Tran, Hsin Jung Chou, Tania F. Gendron, Steven DeGroot, Andrew R. Tapper, Chantal Sellier, Nicolas Charlet-Berguerand, Anna Karydas, William W. Seeley, Adam L. Boxer, Leonard Petrucelli, Bruce L. Miller, Fen-Biao Gao

Abstract

The recently identified GGGGCC repeat expansion in the noncoding region of C9ORF72 is the most common pathogenic mutation in patients with frontotemporal dementia (FTD) or amyotrophic lateral sclerosis (ALS). We generated a human neuronal model and investigated the pathological phenotypes of human neurons containing GGGGCC repeat expansions. Skin biopsies were obtained from two subjects who had >1,000 GGGGCC repeats in C9ORF72 and their respective fibroblasts were used to generate multiple induced pluripotent stem cell (iPSC) lines. After extensive characterization, two iPSC lines from each subject were selected, differentiated into postmitotic neurons, and compared with control neurons to identify disease-relevant phenotypes. Expanded GGGGCC repeats exhibit instability during reprogramming and neuronal differentiation of iPSCs. RNA foci containing GGGGCC repeats were present in some iPSCs, iPSC-derived human neurons and primary fibroblasts. The percentage of cells with foci and the number of foci per cell appeared to be determined not simply by repeat length but also by other factors. These RNA foci do not seem to sequester several major RNA-binding proteins. Moreover, repeat-associated non-ATG (RAN) translation products were detected in human neurons with GGGGCC repeat expansions and these neurons showed significantly elevated p62 levels and increased sensitivity to cellular stress induced by autophagy inhibitors. Our findings demonstrate that key neuropathological features of FTD/ALS with GGGGCC repeat expansions can be recapitulated in iPSC-derived human neurons and also suggest that compromised autophagy function may represent a novel underlying pathogenic mechanism.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 397 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Netherlands 1 <1%
Colombia 1 <1%
United Kingdom 1 <1%
Poland 1 <1%
Unknown 390 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 108 27%
Student > Bachelor 56 14%
Researcher 50 13%
Student > Master 35 9%
Student > Doctoral Student 27 7%
Other 59 15%
Unknown 62 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 108 27%
Neuroscience 77 19%
Biochemistry, Genetics and Molecular Biology 69 17%
Medicine and Dentistry 39 10%
Chemistry 5 1%
Other 24 6%
Unknown 75 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 341. 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 04 March 2024.
All research outputs
#96,100
of 25,373,627 outputs
Outputs from Acta Neuropathologica
#15
of 2,527 outputs
Outputs of similar age
#554
of 206,467 outputs
Outputs of similar age from Acta Neuropathologica
#1
of 22 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,527 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.7. This one has done particularly well, scoring higher than 99% of its peers.
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 206,467 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.