↓ Skip to main content
What is this page? Embed badge

Receptor Tyrosine Kinases

Overview of attention for book
Cover of 'Receptor Tyrosine Kinases'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Analysis of Receptor Tyrosine Kinase (RTK) Phosphorylation by Immunoblotting
  3. Altmetric Badge
    Chapter 2 Analysis of Changes in Phosphorylation of Receptor Tyrosine Kinases: Antibody Arrays
  4. Altmetric Badge
    Chapter 3 Analysis of Epidermal Growth Factor Receptor Dimerization by BS(3) Cross-Linking.
  5. Altmetric Badge
    Chapter 4 Single-Molecule Optical Methods Analyzing Receptor Tyrosine Kinase Activation in Living Cells
  6. Altmetric Badge
    Chapter 5 Evaluation of the Dimerization Profiles of HER Tyrosine Kinases by Time-Resolved Förster Resonance Energy Transfer (TR-FRET)
  7. Altmetric Badge
    Chapter 6 Applying the Proximity Ligation Assay (PLA) to Mouse Preimplantation Embryos for Identifying Protein-Protein Interactions In Situ.
  8. Altmetric Badge
    Chapter 7 Analysis of Receptor Tyrosine Kinase Gene Amplification on the Example of FGFR1
  9. Altmetric Badge
    Chapter 8 Quantification of the Effects of Mutations on Receptor Tyrosine Kinase (RTK) Activation in Mammalian Cells
  10. Altmetric Badge
    Chapter 9 Cell Surface Biotinylation of Receptor Tyrosine Kinases to Investigate Intracellular Trafficking
  11. Altmetric Badge
    Chapter 10 Studying N-Linked Glycosylation of Receptor Tyrosine Kinases
  12. Altmetric Badge
    Chapter 11 Identification of Receptor Protein Tyrosine Phosphatases (RPTPs) as Regulators of Receptor Tyrosine Kinases (RTKs) Using an RPTP siRNA-RTK Substrate Screen
  13. Altmetric Badge
    Chapter 12 Downregulation of Receptor Tyrosine Kinases Through Ubiquitination: Analysis by Immunodetection
  14. Altmetric Badge
    Chapter 13 Regulation of Receptor Tyrosine Kinases by miRNA: Overexpression of miRNA Using Lentiviral Inducible Expression Vectors.
  15. Altmetric Badge
    Chapter 14 Human tumor xenografts in mouse as a model for evaluating therapeutic efficacy of monoclonal antibodies or antibody-drug conjugate targeting receptor tyrosine kinases.
  16. Altmetric Badge
    Chapter 15 Receptor Tyrosine Kinase Targeting in Multicellular Spheroids
  17. Altmetric Badge
    Chapter 16 Receptor Tyrosine Kinases and Drug Resistance: Development and Characterization of In Vitro Models of Resistance to RTK Inhibitors
Attention for Chapter 13: Regulation of Receptor Tyrosine Kinases by miRNA: Overexpression of miRNA Using Lentiviral Inducible Expression Vectors.
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
10 Mendeley
Summary X Dimensions citations
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
Regulation of Receptor Tyrosine Kinases by miRNA: Overexpression of miRNA Using Lentiviral Inducible Expression Vectors.
Chapter number 13
Book title
Receptor Tyrosine Kinases
Published in
Methods in molecular biology, October 2014
DOI 10.1007/978-1-4939-1789-1_13
Pubmed ID
25319896
Book ISBNs
978-1-4939-1788-4, 978-1-4939-1789-1
Authors

XiangDong Le, Andrew T Huang, Yunyun Chen, Stephen Y Lai, Le, XiangDong, Huang, Andrew T., Chen, Yunyun, Lai, Stephen Y., Andrew T. Huang, Stephen Y. Lai

Abstract

MicroRNAs have the ability to alter and regulate multiple genes, including RTK family members, making them an attractive approach for molecular therapeutic development. We use a pCDNA6.2-EmGFP-microRNA expression vector to overexpress individual mature microRNA and then transfer the expression cassette into a single, inducible lentiviral vector (pINDUCER20). We successfully use this system to create a pINDUCER-EmGFP-miRNA27a expression vector and generate a stable head and neck cancer cell line (UM-SCC-22A) that inducibly expresses miRNA-27a, resulting in targeted epidermal growth factor receptor down regulation. In this chapter, we describe the protocol for engineering the pINDUCER-EmGFP-microRNA expression vector, producing lentiviral particles for target cell infection, and evaluating downregulation of gene expression.

View on publisher site
X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Other 1 10%
Student > Ph. D. Student 1 10%
Student > Doctoral Student 1 10%
Student > Master 1 10%
Other 1 10%
Unknown 2 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 30%
Biochemistry, Genetics and Molecular Biology 2 20%
Medicine and Dentistry 2 20%
Unknown 3 30%
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 17 October 2014.
All research outputs
#20,239,689
of 22,766,595 outputs
Outputs from Methods in molecular biology
#9,865
of 13,090 outputs
Outputs of similar age
#211,931
of 253,595 outputs
Outputs of similar age from Methods in molecular biology
#88
of 123 outputs
Altmetric has tracked 22,766,595 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 13,090 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 253,595 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 123 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.

This page is provided by Altmetric.