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TGF-β Signaling

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Cover of 'TGF-β Signaling'

Table of Contents

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    Book Overview
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    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.
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    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 20: Quantitative Real-Time PCR Analysis of MicroRNAs and Their Precursors Regulated by TGF-β Signaling.
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Chapter title
Quantitative Real-Time PCR Analysis of MicroRNAs and Their Precursors Regulated by TGF-β Signaling.
Chapter number 20
Book title
TGF-β Signaling
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-2966-5_20
Pubmed ID
Book ISBNs
978-1-4939-2965-8, 978-1-4939-2966-5
Authors

Kang, Hara, Hata, Akiko, Hara Kang, Akiko Hata

Abstract

The signaling pathway of TGF-β and its family member BMP has been implicated in vascular development and maintenance of homeostasis by modulating expression of small noncoding microRNAs (miRNAs). MiRNAs repress target genes, which play a critical role in regulating vascular smooth muscle cell (VSMC) growth, phenotype, and function. To understand the mechanisms by which specific miRNAs control the TGF-β and BMP signaling pathway in VSMC, it is essential to quantitate levels of specific miRNAs and their precursors whose expression are controlled by TGF-β/BMP signaling. Here, we describe a real-time quantization method for accurate and sensitive detection of miRNAs and their precursors, such as primary transcripts of miRNAs (pri-miRNAs) and precursor miRNAs (pre-miRNAs). This method requires two steps; synthesis of single-stranded complementary DNAs (cDNAs) from total RNA samples and quantization of specific pri-, pre-, or mature miRNAs by quantitative polymerase chain reaction (PCR) using a real-time PCR machine.

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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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 50%
Professor 1 17%
Student > Bachelor 1 17%
Student > Ph. D. Student 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 33%
Agricultural and Biological Sciences 2 33%
Environmental Science 1 17%
Immunology and Microbiology 1 17%
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 02 November 2015.
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#20,295,099
of 22,831,537 outputs
Outputs from Methods in molecular biology
#9,917
of 13,126 outputs
Outputs of similar age
#330,605
of 393,555 outputs
Outputs of similar age from Methods in molecular biology
#1,053
of 1,470 outputs
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