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Cancer Cell Signaling

Overview of attention for book
Cover of 'Cancer Cell Signaling'

Table of Contents

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    Book Overview
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    Chapter 1 Use of biguanides to improve response to chemotherapy.
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    Chapter 2 Evaluating Response to Metformin/Cisplatin Combination in Cancer Cells via Metabolic Measurement and Clonogenic Survival
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    Chapter 3 Quantifying the Autophagy-Triggering Effects of Drugs in Cell Spheroids with Live Fluorescence Microscopy
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    Chapter 4 Interdependency Between Genetic and Epigenetic Regulatory Defects in Cancer
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    Chapter 5 Experimental Strategies to Manipulate the Cellular Levels of the Multifunctional Factor CTCF.
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    Chapter 6 Use of Serum-Circulating miRNA Profiling for the Identification of Breast Cancer Biomarkers
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    Chapter 7 Prostate Cancer Detection Using a Noninvasive Method for Quantifying miRNAs
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    Chapter 8 DNA Methylation Analysis of Steroid Hormone Receptor Genes
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    Chapter 9 Control of Oncogenic miRNA Function by Light-Activated miRNA Antagomirs
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    Chapter 10 Methods for the Study of Long Noncoding RNA in Cancer Cell Signaling
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    Chapter 11 Microvesicles as Mediators of Intercellular Communication in Cancer
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    Chapter 12 In Vivo Rat Model to Study Horizontal Tumor Progression
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    Chapter 13 An In Vivo Model to Study the Effects of Tumoral Soluble Factors on the Vascular Permeability in Mice
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    Chapter 14 Use of the Tumor Repressor DEDD as a Prognostic Marker of Cancer Metastasis.
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    Chapter 15 Zebrafish-Based Systems Pharmacology of Cancer Metastasis
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    Chapter 16 A Flow Cytometry-Based Assay for the Evaluation of Antibody-Dependent Cell-Mediated Cytotoxicity (ADCC) in Cancer Cells.
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    Chapter 17 Gene Disruption Using Zinc Finger Nuclease Technology
Attention for Chapter 16: A Flow Cytometry-Based Assay for the Evaluation of Antibody-Dependent Cell-Mediated Cytotoxicity (ADCC) in Cancer Cells.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Chapter title
A Flow Cytometry-Based Assay for the Evaluation of Antibody-Dependent Cell-Mediated Cytotoxicity (ADCC) in Cancer Cells.
Chapter number 16
Book title
Cancer Cell Signaling
Published in
Methods in molecular biology, May 2014
DOI 10.1007/978-1-4939-0856-1_16
Pubmed ID
Book ISBNs
978-1-4939-0855-4, 978-1-4939-0856-1
Authors

Salinas-Jazmín N, Hisaki-Itaya E, Velasco-Velázquez MA, Nohemí Salinas-Jazmín, Emiliano Hisaki-Itaya, Marco A. Velasco-Velázquez, Salinas-Jazmín, Nohemí, Hisaki-Itaya, Emiliano, Velasco-Velázquez, Marco A.

Abstract

The development of new therapeutic monoclonal antibodies (mAbs) for cancer therapy will rise in the following years. The evaluation of biological activity of mAbs is required during drug development and during drug production as quality control test. Antibody-dependent cell-mediated cytotoxicity (ADCC) is a desirable activity of anticancer mAbs. Here, we describe a flow cytometry-based method to quantify ADCC that combines the staining of cancer cells, effector cells, and dead cells, with specific dyes. This method is inexpensive, has low background, and avoids the use of radioisotopes.

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

Geographical breakdown

Country Count As %
Brazil 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 24%
Student > Bachelor 3 14%
Researcher 2 10%
Other 1 5%
Professor 1 5%
Other 3 14%
Unknown 6 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 19%
Medicine and Dentistry 3 14%
Immunology and Microbiology 2 10%
Agricultural and Biological Sciences 2 10%
Unspecified 1 5%
Other 2 10%
Unknown 7 33%
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 30 December 2014.
All research outputs
#18,345,259
of 23,577,654 outputs
Outputs from Methods in molecular biology
#7,513
of 13,353 outputs
Outputs of similar age
#157,156
of 227,765 outputs
Outputs of similar age from Methods in molecular biology
#42
of 119 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,353 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 38th percentile – i.e., 38% 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 227,765 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.