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The Spatio-Temporal Expression Profiles of CD4 + T Cell Differentiation and Function-Related Genes During EAE Pathogenesis

Overview of attention for article published in Inflammation, November 2016
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Title
The Spatio-Temporal Expression Profiles of CD4 + T Cell Differentiation and Function-Related Genes During EAE Pathogenesis
Published in
Inflammation, November 2016
DOI 10.1007/s10753-016-0469-1
Pubmed ID
Authors

Yingying Cai, Hu Shen, Chaoyan Qin, Jinfeng Zhou, Weiming Lai, Juping Pan, Changsheng Du

Abstract

Multiple sclerosis is a CD4(+) T cell-mediated autoimmune disease of the central nervous system. The unbalance of the cytokines and transcription factors critical for CD4(+) T cell differentiation and function is probably the main reason that causes MS. We detected the mRNA expression changes of key cytokines and transcription factors which are critical for Th1, Th2, Th17, and Treg cell differentiation and function in different tissues during EAE pathogenesis. We fund that each gene not only has its own featured expression changes, but also has interaction with one another, which composes a network of immunity. Understanding the roles of key cytokines and transcription factors in these processes will help to understand disease pathogenesis and supply indications for disease therapy.

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The data shown below were collected from the profile of 1 X user 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 18%
Student > Doctoral Student 3 14%
Researcher 3 14%
Student > Master 3 14%
Professor > Associate Professor 2 9%
Other 4 18%
Unknown 3 14%
Readers by discipline Count As %
Medicine and Dentistry 4 18%
Immunology and Microbiology 3 14%
Biochemistry, Genetics and Molecular Biology 2 9%
Agricultural and Biological Sciences 2 9%
Psychology 2 9%
Other 5 23%
Unknown 4 18%
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 26 April 2017.
All research outputs
#20,414,746
of 22,965,074 outputs
Outputs from Inflammation
#722
of 1,058 outputs
Outputs of similar age
#349,749
of 415,841 outputs
Outputs of similar age from Inflammation
#10
of 17 outputs
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