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Single cell transcriptomics suggest that human adipocyte progenitor cells constitute a homogeneous cell population

Overview of attention for article published in Stem Cell Research & Therapy, November 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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Title
Single cell transcriptomics suggest that human adipocyte progenitor cells constitute a homogeneous cell population
Published in
Stem Cell Research & Therapy, November 2017
DOI 10.1186/s13287-017-0701-4
Pubmed ID
Authors

Juan R. Acosta, Simon Joost, Kasper Karlsson, Anna Ehrlund, Xidan Li, Myriam Aouadi, Maria Kasper, Peter Arner, Mikael Rydén, Jurga Laurencikiene

Abstract

Regulation of adipose tissue stem cells (ASCs) and adipogenesis impact the development of excess body fat-related metabolic complications. Animal studies have suggested the presence of distinct subtypes of ASCs with different differentiation properties. In addition, ASCs are becoming the biggest source of mesenchymal stem cells used in therapies, which requires deep characterization. Using unbiased single cell transcriptomics we aimed to characterize ASC populations in human subcutaneous white adipose tissue (scWAT). The transcriptomes of 574 single cells from the WAT total stroma vascular fraction (SVF) of four healthy women were analyzed by clustering and t-distributed stochastic neighbor embedding visualization. The identified cell populations were then mapped to cell types present in WAT using data from gene expression microarray profiling of flow cytometry-sorted SVF. Cells clustered into four distinct populations: three adipose tissue-resident macrophage subtypes and one large, homogeneous population of ASCs. While pseudotemporal ordering analysis indicated that the ASCs were in slightly different differentiation stages, the differences in gene expression were small and could not distinguish distinct ASC subtypes. Altogether, in healthy individuals, ASCs seem to constitute a single homogeneous cell population that cannot be subdivided by single cell transcriptomics, suggesting a common origin for human adipocytes in scWAT.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 21%
Researcher 21 19%
Student > Bachelor 10 9%
Student > Doctoral Student 8 7%
Student > Master 8 7%
Other 14 13%
Unknown 26 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 27%
Agricultural and Biological Sciences 20 18%
Medicine and Dentistry 15 14%
Engineering 5 5%
Immunology and Microbiology 3 3%
Other 9 8%
Unknown 28 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 January 2020.
All research outputs
#4,535,940
of 23,007,887 outputs
Outputs from Stem Cell Research & Therapy
#456
of 2,429 outputs
Outputs of similar age
#82,510
of 331,365 outputs
Outputs of similar age from Stem Cell Research & Therapy
#11
of 85 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,429 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 81% 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 331,365 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.