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Glaucoma

Overview of attention for book
Cover of 'Glaucoma'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Use of Animal Models and Techniques in Glaucoma Research: Introduction
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    Chapter 2 Hypertonic Saline Injection Model of Experimental Glaucoma in Rats
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    Chapter 3 The Microbead Occlusion Model of Ocular Hypertension in Mice
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    Chapter 4 Ocular Hypertension/Glaucoma in Minipigs: Episcleral Veins Cauterization and Microbead Occlusion Methods
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    Chapter 5 Noninvasive Intraocular Pressure Measurement in Animals Models of Glaucoma
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    Chapter 6 High-Throughput Binocular Pattern Electroretinograms in the Mouse
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    Chapter 7 Visual Evoked Potentials in Glaucoma and Alzheimer’s Disease
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    Chapter 8 Investigation of the Functional Retinal Output Using Microelectrode Arrays
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    Chapter 9 Quantitative Proteomic Analysis of Human Aqueous Humor Using iTRAQ 4plex Labeling
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    Chapter 10 Shotgun Sphingolipid Analysis of Human Aqueous Humor
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    Chapter 11 Assessment of Aqueous Humor Dynamics in the Rodent by Constant Flow Infusion
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    Chapter 12 Methods for Analyzing Endoplasmic Reticulum Stress in the Trabecular Meshwork of Glaucoma Models
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    Chapter 13 Quantification of Scleral Biomechanics and Collagen Fiber Alignment
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    Chapter 14 Biolistic Labeling of Retinal Ganglion Cells
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    Chapter 15 Anterograde Tract Tracing for Assaying Axonopathy and Transport Deficits in Glaucoma
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    Chapter 16 In Vitro and In Vivo Methods for Studying Retinal Ganglion Cell Survival and Optic Nerve Regeneration
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    Chapter 17 3D Histomorphometric Reconstruction and Quantification of the Optic Nerve Head Connective Tissues
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    Chapter 18 Visualizing Astrocytes of the Optic Nerve
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    Chapter 19 Investigation of MicroRNA Expression in Experimental Glaucoma
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    Chapter 20 Utilizing RNA-Seq to Identify Differentially Expressed Genes in Glaucoma Model Tissues, Such as the Rodent Optic Nerve Head
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    Chapter 21 Single-Cell Dissociation and Characterization in the Murine Retina and Optic Nerve
Attention for Chapter 20: Utilizing RNA-Seq to Identify Differentially Expressed Genes in Glaucoma Model Tissues, Such as the Rodent Optic Nerve Head
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Chapter title
Utilizing RNA-Seq to Identify Differentially Expressed Genes in Glaucoma Model Tissues, Such as the Rodent Optic Nerve Head
Chapter number 20
Book title
Glaucoma
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7407-8_20
Pubmed ID
Book ISBNs
978-1-4939-7406-1, 978-1-4939-7407-8
Authors

Diana C. Lozano, Dongseok Choi, Hari Jayaram, John C. Morrison, Elaine C. Johnson

Abstract

Understanding the cellular pathways activated by elevated intraocular pressure (IOP) is crucial for the development of more effective glaucoma treatments. Microarray studies have previously been used to identify several key gene expression changes in early and extensively injured ONH, as well as in the retina. Limitations of microarrays include that they can only be used to detect transcripts that correspond to existing genomic sequencing information and their narrower dynamic range. However, RNA sequencing (RNA-seq) is a powerful tool for investigating known transcripts, as well as for exploring new ones (including noncoding RNAs and small RNAs), is more quantitative, and has the added benefit that the data can be re-analyzed as new sequencing information becomes available. Here, we describe an RNA-seq method specifically developed for identifying differentially expressed genes in optic nerve heads of eyes exposed to elevated intraocular pressure. The methods described here could also be applied to small tissue samples (less than 100 ng in total RNA yield) from retina, optic nerve, or other regions of the central nervous system.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 33%
Student > Ph. D. Student 1 17%
Researcher 1 17%
Professor 1 17%
Unknown 1 17%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Agricultural and Biological Sciences 1 17%
Medicine and Dentistry 1 17%
Engineering 1 17%
Other 0 0%
Unknown 1 17%

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 01 December 2017.
All research outputs
#9,773,525
of 12,231,187 outputs
Outputs from Methods in molecular biology
#4,172
of 8,304 outputs
Outputs of similar age
#243,017
of 339,574 outputs
Outputs of similar age from Methods in molecular biology
#763
of 1,604 outputs
Altmetric has tracked 12,231,187 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,304 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,604 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.