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Single-cell profiling of human gliomas reveals macrophage ontogeny as a basis for regional differences in macrophage activation in the tumor microenvironment

Overview of attention for article published in Genome Biology, December 2017
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
89 X users
patent
2 patents
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
466 Dimensions

Readers on

mendeley
516 Mendeley
citeulike
2 CiteULike
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Title
Single-cell profiling of human gliomas reveals macrophage ontogeny as a basis for regional differences in macrophage activation in the tumor microenvironment
Published in
Genome Biology, December 2017
DOI 10.1186/s13059-017-1362-4
Pubmed ID
Authors

Sören Müller, Gary Kohanbash, S. John Liu, Beatriz Alvarado, Diego Carrera, Aparna Bhaduri, Payal B. Watchmaker, Garima Yagnik, Elizabeth Di Lullo, Martina Malatesta, Nduka M. Amankulor, Arnold R. Kriegstein, Daniel A. Lim, Manish Aghi, Hideho Okada, Aaron Diaz

Abstract

Tumor-associated macrophages (TAMs) are abundant in gliomas and immunosuppressive TAMs are a barrier to emerging immunotherapies. It is unknown to what extent macrophages derived from peripheral blood adopt the phenotype of brain-resident microglia in pre-treatment gliomas. The relative proportions of blood-derived macrophages and microglia have been poorly quantified in clinical samples due to a paucity of markers that distinguish these cell types in malignant tissue. We perform single-cell RNA-sequencing of human gliomas and identify phenotypic differences in TAMs of distinct lineages. We isolate TAMs from patient biopsies and compare them with macrophages from non-malignant human tissue, glioma atlases, and murine glioma models. We present a novel signature that distinguishes TAMs by ontogeny in human gliomas. Blood-derived TAMs upregulate immunosuppressive cytokines and show an altered metabolism compared to microglial TAMs. They are also enriched in perivascular and necrotic regions. The gene signature of blood-derived TAMs, but not microglial TAMs, correlates with significantly inferior survival in low-grade glioma. Surprisingly, TAMs frequently co-express canonical pro-inflammatory (M1) and alternatively activated (M2) genes in individual cells. We conclude that blood-derived TAMs significantly infiltrate pre-treatment gliomas, to a degree that varies by glioma subtype and tumor compartment. Blood-derived TAMs do not universally conform to the phenotype of microglia, but preferentially express immunosuppressive cytokines and show an altered metabolism. Our results argue against status quo therapeutic strategies that target TAMs indiscriminately and in favor of strategies that specifically target immunosuppressive blood-derived TAMs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 89 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 516 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 516 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 104 20%
Researcher 79 15%
Student > Master 48 9%
Student > Bachelor 30 6%
Student > Doctoral Student 28 5%
Other 76 15%
Unknown 151 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 103 20%
Agricultural and Biological Sciences 56 11%
Immunology and Microbiology 52 10%
Medicine and Dentistry 50 10%
Neuroscience 30 6%
Other 65 13%
Unknown 160 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 77. 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 14 June 2022.
All research outputs
#558,132
of 25,473,687 outputs
Outputs from Genome Biology
#329
of 4,480 outputs
Outputs of similar age
#12,779
of 448,285 outputs
Outputs of similar age from Genome Biology
#9
of 46 outputs
Altmetric has tracked 25,473,687 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,480 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 92% 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 448,285 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 97% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.