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Proteome adaptation in cell reprogramming proceeds via distinct transcriptional networks

Overview of attention for article published in Nature Communications, December 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
5 news outlets
blogs
2 blogs
twitter
9 X users
weibo
1 weibo user

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
159 Mendeley
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Title
Proteome adaptation in cell reprogramming proceeds via distinct transcriptional networks
Published in
Nature Communications, December 2014
DOI 10.1038/ncomms6613
Pubmed ID
Authors

Marco Benevento, Peter D. Tonge, Mira C. Puri, Samer M. I. Hussein, Nicole Cloonan, David L. Wood, Sean M. Grimmond, Andras Nagy, Javier Munoz, Albert J. R. Heck

Abstract

The ectopic expression of Oct4, Klf4, c-Myc and Sox2 (OKMS) transcription factors allows reprogramming of somatic cells into induced pluripotent stem cells (iPSCs). The reprogramming process, which involves a complex network of molecular events, is not yet fully characterized. Here we perform a quantitative mass spectrometry-based analysis to probe in-depth dynamic proteome changes during somatic cell reprogramming. Our data reveal defined waves of proteome resetting, with the first wave occurring 48 h after the activation of the reprogramming transgenes and involving specific biological processes linked to the c-Myc transcriptional network. A second wave of proteome reorganization occurs in a later stage of reprogramming, where we characterize the proteome of two distinct pluripotent cellular populations. In addition, the overlay of our proteome resource with parallel generated -omics data is explored to identify post-transcriptionally regulated proteins involved in key steps during reprogramming.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Netherlands 1 <1%
France 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Taiwan 1 <1%
Australia 1 <1%
China 1 <1%
Belgium 1 <1%
Other 2 1%
Unknown 146 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 28%
Student > Ph. D. Student 35 22%
Student > Master 17 11%
Professor 10 6%
Professor > Associate Professor 9 6%
Other 25 16%
Unknown 19 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 38%
Biochemistry, Genetics and Molecular Biology 47 30%
Chemistry 8 5%
Medicine and Dentistry 8 5%
Immunology and Microbiology 4 3%
Other 15 9%
Unknown 17 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 60. 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 23 January 2015.
All research outputs
#672,116
of 24,525,936 outputs
Outputs from Nature Communications
#11,549
of 52,815 outputs
Outputs of similar age
#8,611
of 371,189 outputs
Outputs of similar age from Nature Communications
#123
of 750 outputs
Altmetric has tracked 24,525,936 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 52,815 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.1. This one has done well, scoring higher than 78% 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 371,189 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 97% of its contemporaries.
We're also able to compare this research output to 750 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.