↓ 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 17: Repositioning Monocyte TFRN into Fibroblasts
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Readers on

mendeley
1 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
Repositioning Monocyte TFRN into Fibroblasts
Chapter number 17
Book title
Transcription Factor Regulatory Networks
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-0805-9_17
Pubmed ID
Book ISBNs
978-1-4939-0804-2, 978-1-4939-0805-9
Authors

Takahiro Suzuki, Jay W. Shin, Harukazu Suzuki, Suzuki, Takahiro, Shin, Jay W., Suzuki, Harukazu

Abstract

Repositioning of cell-specific Transcription Factor Regulatory Networks (TFRNs) into another cell type is a pragmatic approach to elicit desired functions in impaired cells and also to investigate transcription regulations underlying cellular functions. However, a systematic method to identify a set of transcription factors (TFs) which can efficiently promote TFRN in a foreign cell type is lacking. Here, we demonstrate a perturbation-matrix method for the identification and repositioning of monocyte TFRNs in dermal fibroblasts.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 100%
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 21 June 2014.
All research outputs
#20,231,820
of 22,757,541 outputs
Outputs from Methods in molecular biology
#9,864
of 13,089 outputs
Outputs of similar age
#264,795
of 305,260 outputs
Outputs of similar age from Methods in molecular biology
#405
of 597 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,089 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 305,260 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 597 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.