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Genome-wide mapping of DNase hypersensitive sites using massively parallel signature sequencing (MPSS)

Overview of attention for article published in Genome Research, December 2005
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

patent
29 patents
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3 Wikipedia pages

Readers on

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467 Mendeley
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12 CiteULike
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Article details
Title
Genome-wide mapping of DNase hypersensitive sites using massively parallel signature sequencing (MPSS)
Published in
Genome Research, December 2005
DOI 10.1101/gr.4074106
Pubmed ID
Authors
Abstract

A major goal in genomics is to understand how genes are regulated in different tissues, stages of development, diseases, and species. Mapping DNase I hypersensitive (HS) sites within nuclear chromatin is a powerful and well-established method of identifying many different types of regulatory elements, but in the past it has been limited to analysis of single loci. We have recently described a protocol to generate a genome-wide library of DNase HS sites. Here, we report high-throughput analysis, using massively parallel signature sequencing (MPSS), of 230,000 tags from a DNase library generated from quiescent human CD4+ T cells. Of the tags that uniquely map to the genome, we identified 14,190 clusters of sequences that group within close proximity to each other. By using a real-time PCR strategy, we determined that the majority of these clusters represent valid DNase HS sites. Approximately 80% of these DNase HS sites uniquely map within one or more annotated regions of the genome believed to contain regulatory elements, including regions 2 kb upstream of genes, CpG islands, and highly conserved sequences. Most DNase HS sites identified in CD4+ T cells are also HS in CD8+ T cells, B cells, hepatocytes, human umbilical vein endothelial cells (HUVECs), and HeLa cells. However, approximately 10% of the DNase HS sites are lymphocyte specific, indicating that this procedure can identify gene regulatory elements that control cell type specificity. This strategy, which can be applied to any cell line or tissue, will enable a better understanding of how chromatin structure dictates cell function and fate.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 467 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 16 3%
United Kingdom 6 1%
Germany 5 1%
Chile 2 <1%
Australia 2 <1%
Norway 1 <1%
Korea, Republic of 1 <1%
Japan 1 <1%
Italy 1 <1%
Other 4 <1%
Unknown 428 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 149 32%
Researcher 99 21%
Student > Master 49 10%
Student > Doctoral Student 28 6%
Professor > Associate Professor 24 5%
Other 61 13%
Unknown 57 12%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 214 46%
Biochemistry, Genetics and Molecular Biology 114 24%
Medicine and Dentistry 22 5%
Computer Science 19 4%
Neuroscience 8 2%
Other 24 5%
Unknown 66 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 June 2026.
All research outputs
#2,863,578
of 25,373,627 outputs
Outputs from Genome Research
#1,409
of 4,425 outputs
Outputs of similar age
#8,628
of 169,438 outputs
Outputs of similar age from Genome Research
#8
of 48 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% 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 66% 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 169,438 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 94% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.