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Drug Safety Evaluation

Overview of attention for book
Cover of 'Drug Safety Evaluation'

Table of Contents

  1. Altmetric Badge
    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
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    Chapter 23 Urine Exosome Isolation and Characterization
Attention for Chapter 20: Next-Generation Sequencing to Investigate Urinary microRNAs from Macaca fascicularis (Cynomolgus Monkey)
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Chapter title
Next-Generation Sequencing to Investigate Urinary microRNAs from Macaca fascicularis (Cynomolgus Monkey)
Chapter number 20
Book title
Drug Safety Evaluation
Published in
Methods in molecular biology, July 2017
DOI 10.1007/978-1-4939-7172-5_20
Pubmed ID
28748475
Book ISBNs
978-1-4939-7170-1, 978-1-4939-7172-5
Authors

Veeranagouda, Yaligara, Léonard, Jean-François, Gautier, Jean-Charles, Boitier, Eric, Yaligara Veeranagouda, Jean-François Léonard, Jean-Charles Gautier, Eric Boitier

Abstract

Advanced sequencing technologies like next-generation sequencing (NGS) not only detect microRNAs (miRNAs) in biological samples but also facilitate de novo identification of miRNAs. Using an Ion Torrent's Ion Proton System, here we described miRNAs sequencing of urine samples collected from Macaca fascicularis (Cynomolgus monkey) to investigate miRNAs as potential novel biomarkers of nephrotoxicity in this species. Urinary miRNA sequencing methodologies described here include (a) urinary exosomal RNA isolation, (b) sequencing library preparation, (c) sequencing template preparation, and (d) template library sequencing using Ion Proton System. The sequencing method presented in this study serves as a valuable resource in the identification of novel urinary miRNAs in M. fascicularis.

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Ph. D. Student 1 14%
Student > Doctoral Student 1 14%
Student > Master 1 14%
Student > Postgraduate 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 43%
Agricultural and Biological Sciences 3 43%
Unknown 1 14%
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
#20,440,241
of 22,994,508 outputs
Outputs from Methods in molecular biology
#9,932
of 13,151 outputs
Outputs of similar age
#277,018
of 317,332 outputs
Outputs of similar age from Methods in molecular biology
#177
of 235 outputs
Altmetric has tracked 22,994,508 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 13,151 research outputs from this source. They receive a mean Attention Score of 3.4. 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 317,332 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 235 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.

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