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Drug Safety Evaluation

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Cover of 'Drug Safety Evaluation'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Nonclinical Development of Combination Drugs
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    Chapter 2 Juvenile Nonclinical Safety Studies in Support of Pediatric Drug Development
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    Chapter 3 Procedures of Necropsy and Tissue Sampling
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    Chapter 4 Tissue Sampling and Processing for Histopathology Evaluation
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    Chapter 5 Principles and Methods of Immunohistochemistry
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    Chapter 6 Applications of Mass Spectrometry Imaging for Safety Evaluation
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    Chapter 7 In Vivo Rat T-Lymphocyte Pig-a Assay: Detection and Expansion of Cells Deficient in the GPI-Anchored CD48 Surface Marker for Analysis of Mutation in the Endogenous Pig-a Gene
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    Chapter 8 Detection of In Vivo Mutation in the Pig-a Gene of Mouse Bone Marrow Erythroids
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    Chapter 9 The Use of Bacterial Repair Endonucleases in the Comet Assay
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    Chapter 10 Automated Patch-Clamp Methods for the hERG Cardiac Potassium Channel
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    Chapter 11 Impedance Measurement in Induced Pluripotent Stem Cell-Derived Cardiomyocytes
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    Chapter 12 Target Safety Assessment: Strategies and Resources
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    Chapter 13 NMR and MS Methods for Metabolomics
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    Chapter 14 Protocols and Applications of Cellular Metabolomics in Safety Studies Using Precision-Cut Tissue Slices and Carbon 13 NMR
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    Chapter 15 Statistical Analysis of Quantitative RT-PCR Results
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    Chapter 16 Evaluation of Mitochondrial Respiration in Cultured Rat Hepatocytes
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    Chapter 17 FETAX Assay for Evaluation of Developmental Toxicity
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    Chapter 18 Evaluation of Embryotoxicity Using the Zebrafish Model
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    Chapter 19 Absolute Quantification of Toxicological Biomarkers via Mass Spectrometry
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    Chapter 20 Next-Generation Sequencing to Investigate Urinary microRNAs from Macaca fascicularis (Cynomolgus Monkey)
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    Chapter 21 Quantitative RT-PCR for MicroRNAs in Biofluids
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    Chapter 22 Chromogenic In Situ Hybridization Methods for microRNA Biomarker Monitoring of Drug Safety and Efficacy
  24. Altmetric Badge
    Chapter 23 Urine Exosome Isolation and Characterization
Attention for Chapter 7: In Vivo Rat T-Lymphocyte Pig-a Assay: Detection and Expansion of Cells Deficient in the GPI-Anchored CD48 Surface Marker for Analysis of Mutation in the Endogenous Pig-a Gene
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Chapter title
In Vivo Rat T-Lymphocyte Pig-a Assay: Detection and Expansion of Cells Deficient in the GPI-Anchored CD48 Surface Marker for Analysis of Mutation in the Endogenous Pig-a Gene
Chapter number 7
Book title
Drug Safety Evaluation
Published in
Methods in molecular biology, July 2017
DOI 10.1007/978-1-4939-7172-5_7
Pubmed ID
Book ISBNs
978-1-4939-7170-1, 978-1-4939-7172-5
Authors

Dobrovolsky, Vasily N., Revollo, Javier, Petibone, Dayton M., Heflich, Robert H., Vasily N. Dobrovolsky, Javier Revollo, Dayton M. Petibone, Robert H. Heflich

Abstract

The Pig-a assay is being developed as an in vivo gene mutation assay for regulatory safety assessments. The assay is based on detecting mutation in the endogenous Pig-a gene of treated rats by using flow cytometry to measure changes in cell surface markers of peripheral blood cells. Here we present a methodology for demonstrating that phenotypically mutant rat T-cells identified by flow cytometry contain mutations in the Pig-a gene, an important step for validating the assay. In our approach, the mutant phenotype T-cells are sorted into individual wells of 96-well plates and expanded into clones. Subsequent sequencing of genomic DNA from the expanded clones confirms that the Pig-a assay detects exactly what it claims to detect-cells with mutations in the endogenous Pig-a gene. In addition, determining the spectra of Pig-a mutations provides information for better understanding the mutational mechanism of compounds of interest. Our methodology of combining phenotypic antibody labeling, magnetic enrichment, sorting, and single-cell clonal expansion can be used in genotoxicity/mutagenicity studies and in other general immunotoxicology research requiring identification, isolation, and expansion of extremely rare subpopulations of T-cells.

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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 28 July 2017.
All research outputs
#17,909,758
of 22,994,508 outputs
Outputs from Methods in molecular biology
#7,274
of 13,151 outputs
Outputs of similar age
#227,832
of 317,332 outputs
Outputs of similar age from Methods in molecular biology
#116
of 235 outputs
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So far Altmetric has tracked 13,151 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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We're also able to compare this research output to 235 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.