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Use of UTF1 Genetic Control Elements as iPSC Reporter

Overview of attention for article published in Stem Cell Reviews and Reports, December 2011
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Title
Use of UTF1 Genetic Control Elements as iPSC Reporter
Published in
Stem Cell Reviews and Reports, December 2011
DOI 10.1007/s12015-011-9342-7
Pubmed ID
Authors

Amir Morshedi, Monireh Soroush Noghabi, Peter Dröge

Abstract

The reprogramming of adult somatic cells into an embryonic stem cell (ESC) state by various means has opened a new chapter in basic and applied life science. While this technology will create great opportunities for regenerative medicine, the more immediate impact is likely to be found in human disease modeling and drug testing/development. An important aspect in the latter contexts is the ability to reliably monitor the pluripotent stem cell state, in particular with respect to human cell reprogramming using patient-specific somatic cells and high-throughput screens. Undifferentiated transcription factor 1 (UTF1) belongs to the core transcriptional network characterizing pluripotency. UTF1 is involved in ESC-specific chromatin organization, and its expression pattern during cell reprogramming and subsequent differentiation appears to be tightly connected with the pluripotent stem cell state. Here, we capitalized on these features and generated a reliable reporter system that was used to monitor induced pluripotent stem cell (iPSC) formation and subsequent differentiation. Our reporter cassette comprises less than 2.3 kb and remains functional during many cell passages after genomic integration. The fact that the human UTF1 genetic control elements work in a mouse background and the demonstrated functionality of the reporter in an epigenetic state further qualifies this system as a versatile new tool for iPSC research.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 4%
Australia 1 4%
South Africa 1 4%
Unknown 20 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Researcher 4 17%
Professor 2 9%
Other 2 9%
Professor > Associate Professor 2 9%
Other 4 17%
Unknown 5 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 39%
Biochemistry, Genetics and Molecular Biology 6 26%
Economics, Econometrics and Finance 1 4%
Medicine and Dentistry 1 4%
Materials Science 1 4%
Other 0 0%
Unknown 5 22%
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 30 December 2011.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from Stem Cell Reviews and Reports
#820
of 1,035 outputs
Outputs of similar age
#203,598
of 249,527 outputs
Outputs of similar age from Stem Cell Reviews and Reports
#9
of 9 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,035 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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