↓ Skip to main content

A Systematic Approach to Identify Markers of Distinctly Activated Human Macrophages

Overview of attention for article published in Frontiers in immunology, May 2015
Altmetric Badge

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
109 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.
Title
A Systematic Approach to Identify Markers of Distinctly Activated Human Macrophages
Published in
Frontiers in immunology, May 2015
DOI 10.3389/fimmu.2015.00253
Pubmed ID
Authors

Bayan Sudan, Mark A. Wacker, Mary E. Wilson, Joel W. Graff

Abstract

Polarization has been a useful concept for describing activated macrophage phenotypes and gene expression profiles. However, macrophage activation status within tumors and other settings are often inferred based on only a few markers. Complicating matters for relevance to human biology, many macrophage activation markers have been best characterized in mice and sometimes are not similarly regulated in human macrophages. To identify novel markers of activated human macrophages, gene expression profiles for human macrophages of a single donor subjected to 33 distinct activating conditions were obtained and a set of putative activation markers were subsequently evaluated in macrophages from multiple donors using integrated fluidic circuit (IFC)-based RT-PCR. Using unsupervised hierarchical clustering of the microarray screen, highly altered transcripts (>4-fold change in expression) sorted the macrophage transcription profiles into two major and 13 minor clusters. Among the 1874 highly altered transcripts, over 100 were uniquely altered in one major or two related minor clusters. IFC PCR-derived data confirmed the microarray results and determined the kinetics of expression of potential macrophage activation markers. Transcripts encoding chemokines, cytokines, and cell surface were prominent in our analyses. The activation markers identified by this study could be used to better characterize tumor-associated macrophages from biopsies as well as other macrophage populations collected from human clinical samples.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Chile 1 <1%
Unknown 106 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 28%
Researcher 19 17%
Student > Master 18 17%
Student > Bachelor 9 8%
Student > Doctoral Student 5 5%
Other 10 9%
Unknown 18 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 19%
Agricultural and Biological Sciences 21 19%
Immunology and Microbiology 19 17%
Medicine and Dentistry 10 9%
Engineering 6 6%
Other 10 9%
Unknown 22 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 July 2015.
All research outputs
#19,944,091
of 25,373,627 outputs
Outputs from Frontiers in immunology
#22,570
of 31,516 outputs
Outputs of similar age
#192,200
of 280,163 outputs
Outputs of similar age from Frontiers in immunology
#124
of 180 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,516 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 280,163 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 180 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.