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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

  • Among the highest-scoring outputs from this source (#46 of 285)
  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
7 tweeters

Citations

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8 Dimensions

Readers on

mendeley
38 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

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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 32%
Student > Bachelor 8 21%
Researcher 6 16%
Unspecified 4 11%
Professor 2 5%
Other 6 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 50%
Agricultural and Biological Sciences 10 26%
Unspecified 4 11%
Medicine and Dentistry 2 5%
Immunology and Microbiology 1 3%
Other 2 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
#3,635,839
of 12,516,641 outputs
Outputs from Nucleus
#46
of 285 outputs
Outputs of similar age
#92,563
of 258,480 outputs
Outputs of similar age from Nucleus
#2
of 9 outputs
Altmetric has tracked 12,516,641 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 285 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 79% 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 258,480 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 62% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.