↓ Skip to main content

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

Mentioned by

twitter
1 X user

Citations

dimensions_citation
11 Dimensions

Readers on

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

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.

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 33%
Professor 2 22%
Unspecified 1 11%
Researcher 1 11%
Student > Ph. D. Student 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 11%
Unspecified 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Agricultural and Biological Sciences 1 11%
Computer Science 1 11%
Other 3 33%
Unknown 1 11%
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 01 December 2017.
All research outputs
#20,453,782
of 23,009,818 outputs
Outputs from Methods in molecular biology
#9,941
of 13,157 outputs
Outputs of similar age
#378,135
of 442,310 outputs
Outputs of similar age from Methods in molecular biology
#1,193
of 1,498 outputs
Altmetric has tracked 23,009,818 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 13,157 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 442,310 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 1,498 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.