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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.
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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 24: Genome-Wide RNAi Screening to Dissect the TGF-β Signal Transduction Pathway.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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Chapter title
Genome-Wide RNAi Screening to Dissect the TGF-β Signal Transduction Pathway.
Chapter number 24
Book title
TGF-β Signaling
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-2966-5_24
Pubmed ID
Book ISBNs
978-1-4939-2965-8, 978-1-4939-2966-5
Authors

Chen, Xiaochu, Xu, Lan, Xiaochu Chen, Lan Xu

Abstract

Thetransforming growth factor-β (TGF-β) family of cytokines figures prominently in regulation of embryonic development and adult tissue homeostasis from Drosophila to mammals. Genetic defects affecting TGF-β signaling underlie developmental disorders and diseases such as cancer in human. Therefore, delineating the molecular mechanism by which TGF-β regulates cell biology is critical for understanding normal biology and disease mechanisms. Forward genetic screens in model organisms and biochemical approaches in mammalian tissue culture were instrumental in initial characterization of the TGF-β signal transduction pathway. With complete sequence information of the genomes and the advent of RNA interference (RNAi) technology, genome-wide RNAi screening emerged as a powerful functional genomics approach to systematically delineate molecular components of signal transduction pathways. Here, we describe a protocol for image-based whole-genome RNAi screening aimed at identifying molecules required for TGF-β signaling into the nucleus. Using this protocol we examined >90 % of annotated Drosophila open reading frames (ORF) individually and successfully uncovered several novel factors serving critical roles in the TGF-β pathway. Thus cell-based high-throughput functional genomics can uncover new mechanistic insights on signaling pathways beyond what the classical genetics had revealed.

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

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Student > Doctoral Student 1 13%
Lecturer > Senior Lecturer 1 13%
Student > Ph. D. Student 1 13%
Researcher 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 25%
Nursing and Health Professions 2 25%
Agricultural and Biological Sciences 1 13%
Medicine and Dentistry 1 13%
Unknown 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 01 November 2016.
All research outputs
#4,090,270
of 23,577,654 outputs
Outputs from Methods in molecular biology
#1,051
of 13,410 outputs
Outputs of similar age
#68,553
of 396,838 outputs
Outputs of similar age from Methods in molecular biology
#158
of 1,472 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,410 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 91% 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 396,838 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% 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 89% of its contemporaries.