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Nucleosome Repositioning During Differentiation of a Human Myeloid Leukemia Cell Line

Overview of attention for article published in Nucleus, February 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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7 tweeters

Citations

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6 Dimensions

Readers on

mendeley
22 Mendeley
Title
Nucleosome Repositioning During Differentiation of a Human Myeloid Leukemia Cell Line
Published in
Nucleus, February 2017
DOI 10.1080/19491034.2017.1295201
Pubmed ID
Authors

Vladimir B Teif, Jan-Philipp Mallm, Tanvi Sharma, David B Mark Welch, Karsten Rippe, Roland Eils, Jörg Langowski, Ada L Olins, Donald E Olins, Vladimir B. Teif, David B. Mark Welch, Ada L. Olins, Donald E. Olins

Abstract

Cell differentiation is associated with changes in chromatin organization and gene expression. In this study, we examine chromatin structure following differentiation of the human myeloid leukemia cell line (HL-60/S4) into granulocytes with retinoic acid (RA) or into macrophage with phorbol ester (TPA). We performed ChIP-seq of histone H3 and its modifications, analyzing changes in nucleosome occupancy, nucleosome repeat length, eu-/heterochromatin redistribution and properties of epichromatin (surface chromatin adjacent to the nuclear envelope). Nucleosome positions changed genome-wide, exhibiting a specific class of alterations involving nucleosome loss in extended (∼1kb) regions, pronounced in enhancers and promoters. Genes that lost nucleosomes at their promoters showed a tendency to be upregulated. On the other hand, nucleosome gain did not show simple effects on transcript levels. The average genome-wide nucleosome repeat length (NRL) did not change significantly with differentiation. However, we detected an approximate 10 bp NRL decrease around the haematopoietic transcription factor (TF) PU.1 and the architectural protein CTCF, suggesting an effect on NRL proximal to TF binding sites. Nucleosome occupancy changed in regions associated with active promoters in differentiated cells, compared with untreated HL-60/S4 cells. Epichromatin regions revealed an increased GC content and high nucleosome density compared with surrounding chromatin. Epichromatin showed depletion of major histone modifications and revealed enrichment with PML body-associated genes. In general, chromatin changes during HL-60/S4 differentiation appeared to be more localized to regulatory regions, compared with genome-wide changes among diverse cell types studied elsewhere.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 32%
Student > Bachelor 5 23%
Researcher 4 18%
Unspecified 2 9%
Student > Doctoral Student 2 9%
Other 2 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 55%
Agricultural and Biological Sciences 4 18%
Medicine and Dentistry 2 9%
Unspecified 2 9%
Immunology and Microbiology 1 5%
Other 1 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 February 2018.
All research outputs
#5,986,613
of 11,609,687 outputs
Outputs from Nucleus
#58
of 276 outputs
Outputs of similar age
#103,078
of 265,746 outputs
Outputs of similar age from Nucleus
#5
of 16 outputs
Altmetric has tracked 11,609,687 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 276 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 77% 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 265,746 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 16 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 68% of its contemporaries.