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Novel roles for KLF1 in erythropoiesis revealed by mRNA-seq

Overview of attention for article published in Genome Research, July 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
4 X users
patent
2 patents
facebook
1 Facebook page

Citations

dimensions_citation
87 Dimensions

Readers on

mendeley
100 Mendeley
citeulike
3 CiteULike
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Title
Novel roles for KLF1 in erythropoiesis revealed by mRNA-seq
Published in
Genome Research, July 2012
DOI 10.1101/gr.135707.111
Pubmed ID
Authors

Michael R. Tallack, Graham W. Magor, Benjamin Dartigues, Lei Sun, Stephen Huang, Jessica M. Fittock, Sally V. Fry, Evgeny A. Glazov, Timothy L. Bailey, Andrew C. Perkins

Abstract

KLF1 (formerly known as EKLF) regulates the development of erythroid cells from bi-potent progenitor cells via the transcriptional activation of a diverse set of genes. Mice lacking Klf1 die in utero prior to E15 from severe anemia due to the inadequate expression of genes controlling hemoglobin production, cell membrane and cytoskeletal integrity, and the cell cycle. We have recently described the full repertoire of KLF1 binding sites in vivo by performing KLF1 ChIP-seq in primary erythroid tissue (E14.5 fetal liver). Here we describe the KLF1-dependent erythroid transcriptome by comparing mRNA-seq from Klf1(+/+) and Klf1(-/-) erythroid tissue. This has revealed novel target genes not previously obtainable by traditional microarray technology, and provided novel insights into the function of KLF1 as a transcriptional activator. We define a cis-regulatory module bound by KLF1, GATA1, TAL1, and EP300 that coordinates a core set of erythroid genes. We also describe a novel set of erythroid-specific promoters that drive high-level expression of otherwise ubiquitously expressed genes in erythroid cells. Our study has identified two novel lncRNAs that are dynamically expressed during erythroid differentiation, and discovered a role for KLF1 in directing apoptotic gene expression to drive the terminal stages of erythroid maturation.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 2 2%
Netherlands 1 1%
Korea, Republic of 1 1%
Unknown 94 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 31%
Student > Ph. D. Student 30 30%
Student > Master 9 9%
Student > Bachelor 6 6%
Other 5 5%
Other 16 16%
Unknown 3 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 51%
Biochemistry, Genetics and Molecular Biology 28 28%
Medicine and Dentistry 7 7%
Computer Science 3 3%
Physics and Astronomy 2 2%
Other 4 4%
Unknown 5 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 26 July 2017.
All research outputs
#2,428,194
of 25,373,627 outputs
Outputs from Genome Research
#1,206
of 4,425 outputs
Outputs of similar age
#15,347
of 178,780 outputs
Outputs of similar age from Genome Research
#41
of 70 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 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one has gotten more attention than average, scoring higher than 72% 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 178,780 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 91% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.