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DIGIT Is a Conserved Long Noncoding RNA that Regulates GSC Expression to Control Definitive Endoderm Differentiation of Embryonic Stem Cells

Overview of attention for article published in Cell Reports, October 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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2 blogs
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7 X users

Citations

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Title
DIGIT Is a Conserved Long Noncoding RNA that Regulates GSC Expression to Control Definitive Endoderm Differentiation of Embryonic Stem Cells
Published in
Cell Reports, October 2016
DOI 10.1016/j.celrep.2016.09.017
Pubmed ID
Authors

Kaveh Daneshvar, Joshua V. Pondick, Byeong-Moo Kim, Chan Zhou, Samuel R. York, Jillian A. Macklin, Ameed Abualteen, Bo Tan, Alla A. Sigova, Chelsea Marcho, Kimberly D. Tremblay, Jesse Mager, Michael Y. Choi, Alan C. Mullen

Abstract

Long noncoding RNAs (lncRNAs) exhibit diverse functions, including regulation of development. Here, we combine genome-wide mapping of SMAD3 occupancy with expression analysis to identify lncRNAs induced by activin signaling during endoderm differentiation of human embryonic stem cells (hESCs). We find that DIGIT is divergent to Goosecoid (GSC) and expressed during endoderm differentiation. Deletion of the SMAD3-occupied enhancer proximal to DIGIT inhibits DIGIT and GSC expression and definitive endoderm differentiation. Disruption of the gene encoding DIGIT and depletion of the DIGIT transcript reveal that DIGIT is required for definitive endoderm differentiation. In addition, we identify the mouse ortholog of DIGIT and show that it is expressed during development and promotes definitive endoderm differentiation of mouse ESCs. DIGIT regulates GSC in trans, and activation of endogenous GSC expression is sufficient to rescue definitive endoderm differentiation in DIGIT-deficient hESCs. Our study defines DIGIT as a conserved noncoding developmental regulator of definitive endoderm.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Sweden 1 2%
Unknown 62 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 22%
Researcher 10 16%
Student > Master 6 9%
Professor > Associate Professor 5 8%
Student > Doctoral Student 5 8%
Other 7 11%
Unknown 17 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 41%
Agricultural and Biological Sciences 14 22%
Medicine and Dentistry 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Neuroscience 1 2%
Other 1 2%
Unknown 17 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 12 October 2016.
All research outputs
#2,251,793
of 25,374,917 outputs
Outputs from Cell Reports
#5,044
of 12,960 outputs
Outputs of similar age
#38,460
of 332,577 outputs
Outputs of similar age from Cell Reports
#116
of 300 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one has gotten more attention than average, scoring higher than 61% 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 332,577 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 300 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.