↓ Skip to main content

Induced Pluripotent Stem Cells from Ataxia-Telangiectasia Recapitulate the Cellular Phenotype

Overview of attention for article published in Stem Cells Translational Medicine, June 2012
Altmetric Badge

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
61 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Induced Pluripotent Stem Cells from Ataxia-Telangiectasia Recapitulate the Cellular Phenotype
Published in
Stem Cells Translational Medicine, June 2012
DOI 10.5966/sctm.2012-0024
Pubmed ID
Authors

Sam Nayler, Magtouf Gatei, Sergei Kozlov, Richard Gatti, Jessica C. Mar, Christine A. Wells, Martin Lavin, Ernst Wolvetang

Abstract

Pluripotent stem cells can differentiate into every cell type of the human body. Reprogramming of somatic cells into induced pluripotent stem cells (iPSCs) therefore provides an opportunity to gain insight into the molecular and cellular basis of disease. Because the cellular DNA damage response poses a barrier to reprogramming, generation of iPSCs from patients with chromosomal instability syndromes has thus far proven to be difficult. Here we demonstrate that fibroblasts from patients with ataxia-telangiectasia (A-T), a disorder characterized by chromosomal instability, progressive neurodegeneration, high risk of cancer, and immunodeficiency, can be reprogrammed to bona fide iPSCs, albeit at a reduced efficiency. A-T iPSCs display defective radiation-induced signaling, radiosensitivity, and cell cycle checkpoint defects. Bioinformatic analysis of gene expression in the A-T iPSCs identifies abnormalities in DNA damage signaling pathways, as well as changes in mitochondrial and pentose phosphate pathways. A-T iPSCs can be differentiated into functional neurons and thus represent a suitable model system to investigate A-T-associated neurodegeneration. Collectively, our data show that iPSCs can be generated from a chromosomal instability syndrome and that these cells can be used to discover early developmental consequences of ATM deficiency, such as altered mitochondrial function, that may be relevant to A-T pathogenesis and amenable to therapeutic intervention.

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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Student > Bachelor 8 13%
Researcher 7 11%
Student > Master 6 10%
Professor 6 10%
Other 7 11%
Unknown 15 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 30%
Medicine and Dentistry 10 16%
Biochemistry, Genetics and Molecular Biology 9 15%
Neuroscience 4 7%
Chemistry 2 3%
Other 3 5%
Unknown 15 25%
Attention Score in Context

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 14 December 2023.
All research outputs
#17,364,523
of 25,481,734 outputs
Outputs from Stem Cells Translational Medicine
#1,266
of 1,602 outputs
Outputs of similar age
#116,994
of 177,763 outputs
Outputs of similar age from Stem Cells Translational Medicine
#15
of 18 outputs
Altmetric has tracked 25,481,734 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,602 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.1. 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 177,763 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.