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TGF-β Signaling

Overview of attention for book
Cover of 'TGF-β Signaling'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Regulation of TGF-β Receptors
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    Chapter 2 Determining TGF-β Receptor Levels in the Cell Membrane.
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    Chapter 3 Posttranslational Modifications of TGF-β Receptors.
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    Chapter 4 Production, Isolation, and Structural Analysis of Ligands and Receptors of the TGF-β Superfamily
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    Chapter 5 Phosphorylation of Smads by Intracellular Kinases
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    Chapter 6 Analysis of Smad Phosphatase Activity In Vitro
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    Chapter 7 Three-dimensional Mammary Epithelial Cell Morphogenesis Model for Analysis of TGFß Signaling.
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    Chapter 8 TGF-β Signaling in Stem Cell Regulation.
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    Chapter 9 Analysis of Epithelial-Mesenchymal Transition Induced by Transforming Growth Factor β.
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    Chapter 10 In Vitro Th Differentiation Protocol.
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    Chapter 11 Interrogating TGF-β Function and Regulation in Endothelial Cells.
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    Chapter 12 Isolation and Manipulation of Adipogenic Cells to Assess TGF-β Superfamily Functions.
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    Chapter 13 Imaging TGFβ Signaling in Mouse Models of Cancer Metastasis.
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    Chapter 14 Generation and Characterization of Smad7 Conditional Knockout Mice
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    Chapter 15 Monitoring Smad Activity In Vivo Using the Xenopus Model System.
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    Chapter 16 Animal Cap Assay for TGF-β Signaling.
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    Chapter 17 Detection of Smad Signaling in Zebrafish Embryos.
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    Chapter 18 Role of TGF-β Signaling in Coupling Bone Remodeling
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    Chapter 19 Studying the Functions of TGF-β Signaling in the Ovary.
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    Chapter 20 Quantitative Real-Time PCR Analysis of MicroRNAs and Their Precursors Regulated by TGF-β Signaling.
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    Chapter 21 TGF-β-Regulated MicroRNAs and Their Function in Cancer Biology.
  23. Altmetric Badge
    Chapter 22 Epigenomic Regulation of Smad1 Signaling During Cellular Senescence Induced by Ras Activation.
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    Chapter 23 The Role of Ubiquitination to Determine Non-Smad Signaling Responses
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    Chapter 24 Genome-Wide RNAi Screening to Dissect the TGF-β Signal Transduction Pathway.
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    Chapter 25 TGF-β Signaling
Attention for Chapter 10: In Vitro Th Differentiation Protocol.
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About this Attention Score

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  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Chapter title
In Vitro Th Differentiation Protocol.
Chapter number 10
Book title
TGF-β Signaling
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-2966-5_10
Pubmed ID
Book ISBNs
978-1-4939-2965-8, 978-1-4939-2966-5
Authors

Sekiya, Takashi, Yoshimura, Akihiko, Takashi Sekiya, Akihiko Yoshimura

Abstract

CD4(+) T cells play central roles in adaptive immunity, driving appropriate immune responses to invading pathogens of diverse types. Four major CD4(+) T cell subsets, Th1, Th2, Th17, and Treg cells are differentiated from naïve CD4(+) T cells upon ligation of their T cell receptors with antigens, depending on the cytokines they receive. Th1 cells, which are induced by IL-12 and IFN-γ, mediate host defense against intracellular pathogens by exclusively expressing IFN-γ. Th2 cells, which are induced by IL4, secrete IL-4, IL-5, and IL-13, and protect hosts from helminths. IL-6 plus TGF-β induces Th17 cells, another Th subset identified relatively recently, express IL-17 and play important roles in the eradication of extracellular bacteria and fungi. Treg cells, which play central roles in immune suppression, are composed of either thymus-derived Treg cells (tTreg cells), which are directly developed from CD4-single positive (CD4-SP) cells in the thymus, or peripherally derived Treg cells (pTreg cells), which are induced by TGF-β plus IL-2 from naïve CD4(+) T cells. Although the regulated induction of Th cells results in proper eradication of pathogens, their excess activation results in various immune-associated diseases. For example, aberrant activation of Th1 and Th17 has been implicated in autoimmune diseases, excess Th2 activity causes atopic diseases, and impaired function of Treg cells due to abrogation of Foxp3 has been shown to cause fatal inflammatory disorders both in human and in mouse. The methods for in vitro differentiation of each Th subset described above are presented here. We hope these methods will facilitate understanding of differentiation and function of CD4(+) T cells and pathogenesis of various inflammatory diseases.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 21%
Researcher 18 16%
Student > Bachelor 17 15%
Student > Master 9 8%
Professor > Associate Professor 8 7%
Other 12 10%
Unknown 28 24%
Readers by discipline Count As %
Immunology and Microbiology 24 21%
Biochemistry, Genetics and Molecular Biology 17 15%
Agricultural and Biological Sciences 16 14%
Pharmacology, Toxicology and Pharmaceutical Science 8 7%
Medicine and Dentistry 5 4%
Other 9 8%
Unknown 37 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 28 March 2023.
All research outputs
#7,199,777
of 23,485,204 outputs
Outputs from Methods in molecular biology
#2,164
of 13,354 outputs
Outputs of similar age
#114,007
of 396,913 outputs
Outputs of similar age from Methods in molecular biology
#252
of 1,472 outputs
Altmetric has tracked 23,485,204 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 13,354 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 83% 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 396,913 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 1,472 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.