↓ Skip to main content

Transcription Factor Regulatory Networks

Overview of attention for book
Cover of 'Transcription Factor Regulatory Networks'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Detecting protein-protein interactions/complex components using mass spectrometry coupled techniques.
  3. Altmetric Badge
    Chapter 2 Analysis of Transcription Factor Networks Using IVV Method
  4. Altmetric Badge
    Chapter 3 Next-generation sequencing coupled with a cell-free display technology for reliable interactome of translational factors.
  5. Altmetric Badge
    Chapter 4 Chromatin immunoprecipitation protocol for Mammalian cells.
  6. Altmetric Badge
    Chapter 5 Detecting Protein-DNA Interactions Using a Modified Yeast One-Hybrid System.
  7. Altmetric Badge
    Chapter 6 RNA Sequencing: From Sample Preparation to Analysis
  8. Altmetric Badge
    Chapter 7 Detecting Expressed Genes Using CAGE.
  9. Altmetric Badge
    Chapter 8 A tutorial to identify nonlinear associations in gene expression time series data.
  10. Altmetric Badge
    Chapter 9 Inference of TFRNs (2)
  11. Altmetric Badge
    Chapter 10 Identification of the minimal connected network of transcription factors by transcriptomic and genomic data integration.
  12. Altmetric Badge
    Chapter 11 Modeling and Simulation Using CellDesigner
  13. Altmetric Badge
    Chapter 12 Human Genome Network Platform: A Resource for TFRN Analysis.
  14. Altmetric Badge
    Chapter 13 Identification of Transcription Factors Activated in Thymic Epithelial Cells During Embryonic Thymus Development
  15. Altmetric Badge
    Chapter 14 Analysis of NFATc1-Centered Transcription Factor Regulatory Networks in Osteoclast Formation
  16. Altmetric Badge
    Chapter 15 Transcriptional Regulation in Adipogenesis Through PPARγ-Dependent and -Independent Mechanisms by Prostaglandins.
  17. Altmetric Badge
    Chapter 16 Analysis of TFRNs Associated with Steroid Hormone-Related Cancers.
  18. Altmetric Badge
    Chapter 17 Repositioning Monocyte TFRN into Fibroblasts
Attention for Chapter 7: Detecting Expressed Genes Using CAGE.
Altmetric Badge

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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

patent
1 patent
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Readers on

mendeley
94 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.
Chapter title
Detecting Expressed Genes Using CAGE.
Chapter number 7
Book title
Transcription Factor Regulatory Networks
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-0805-9_7
Pubmed ID
Book ISBNs
978-1-4939-0804-2, 978-1-4939-0805-9
Authors

Mitsuyoshi Murata, Hiromi Nishiyori-Sueki, Miki Kojima-Ishiyama, Piero Carninci, Yoshihide Hayashizaki, Masayoshi Itoh, Murata, Mitsuyoshi, Nishiyori-Sueki, Hiromi, Kojima-Ishiyama, Miki, Carninci, Piero, Hayashizaki, Yoshihide, Itoh, Masayoshi

Abstract

Cap analysis of gene expression (CAGE) provides accurate high-throughput measurement of RNA expression. By the large-scale analysis of 5' end of transcripts using CAGE method, it enables not only determination of the transcription start site but also prediction of promoter region. Here we provide a protocol for the construction of no-amplification non-tagging CAGE libraries for Illumina next-generation sequencers (nAnT-iCAGE). We have excluded the commonly used PCR amplification and cleavage of restriction enzyme to eliminate any potential biases. As a result, we achieved less biased simple preparation process.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Unknown 93 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 24%
Student > Ph. D. Student 22 23%
Student > Bachelor 8 9%
Student > Doctoral Student 7 7%
Student > Postgraduate 6 6%
Other 12 13%
Unknown 16 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 33%
Agricultural and Biological Sciences 24 26%
Medicine and Dentistry 8 9%
Chemistry 3 3%
Immunology and Microbiology 3 3%
Other 10 11%
Unknown 15 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 October 2019.
All research outputs
#5,445,327
of 25,837,817 outputs
Outputs from Methods in molecular biology
#1,600
of 14,362 outputs
Outputs of similar age
#60,129
of 322,344 outputs
Outputs of similar age from Methods in molecular biology
#68
of 574 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,362 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 88% 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 322,344 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 81% of its contemporaries.
We're also able to compare this research output to 574 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.