↓ Skip to main content

Mapping Active Gene-Regulatory Regions in Human Repopulating Long-Term HSCs

Overview of attention for article published in Cell Stem Cell, July 2018
Altmetric Badge

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 (92nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
16 X users
facebook
2 Facebook pages

Readers on

mendeley
73 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Mapping Active Gene-Regulatory Regions in Human Repopulating Long-Term HSCs
Published in
Cell Stem Cell, July 2018
DOI 10.1016/j.stem.2018.06.003
Pubmed ID
Authors
Abstract

Genes that regulate hematopoietic stem cell (HSC) self-renewal, proliferation, and differentiation are tightly controlled by regulatory regions. However, mapping such regions relies on surface markers and immunophenotypic definition of HSCs. Here, we use γ-retroviral integration sites (γRV ISs) from a gene therapy trial for 10 patients with Wiskott-Aldrich syndrome to mark active enhancers and promoters in functionally defined long-term repopulating HSCs. Integration site clusters showed the highest ATAC-seq signals at HSC-specific peaks and strongly correlated with hematopoietic risk variants. Tagged genes were significantly enriched for HSC gene sets. We were able to map over 3,000 HSC regulatory regions in late-contributing HSCs, and we used these data to identify miR-10a and miR-335 as two miRNAs regulating early hematopoiesis. In this study, we show that viral insertion sites can be used as molecular tags to assess chromatin conformation on functionally defined cell populations, thereby providing a genome-wide resource for regulatory regions in human repopulating long-term HSCs.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 25 34%
Student > Ph. D. Student 8 11%
Student > Doctoral Student 6 8%
Student > Bachelor 4 5%
Professor 4 5%
Other 8 11%
Unknown 18 25%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 33%
Agricultural and Biological Sciences 16 22%
Medicine and Dentistry 5 7%
Immunology and Microbiology 4 5%
Neuroscience 1 1%
Other 3 4%
Unknown 20 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 06 September 2021.
All research outputs
#1,413,996
of 28,815,917 outputs
Outputs from Cell Stem Cell
#909
of 3,061 outputs
Outputs of similar age
#26,157
of 347,659 outputs
Outputs of similar age from Cell Stem Cell
#29
of 65 outputs
Altmetric has tracked 28,815,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,061 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.7. This one has gotten more attention than average, scoring higher than 70% 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 347,659 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 92% of its contemporaries.
We're also able to compare this research output to 65 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 55% of its contemporaries.