An RNA Sequencing Analysis of Glaucoma Genesis in Mice
Jai Sharma, Vidhyacharan Bhaskar

TL;DR
This study uses RNA sequencing and bioinformatics analyses to identify genetic differences associated with glaucoma in mice, aiming to find potential targets for future treatments.
Contribution
It applies differential expression and gene ontology analyses to glaucoma mouse models, providing new insights into the genetic mechanisms of the disease.
Findings
Genes linked to glaucoma severity identified
Gene ontologies support existing glaucoma knowledge
Potential marker genes for disease progression found
Abstract
Glaucoma is the leading cause of irreversible blindness in people over the age of 60, accounting for 6.6 to 8% of all blindness in 2010, but there is still much to be learned about the genetic origins of the eye disease. With the modern development of Next-Generation Sequencing (NGS) technologies, scientists are starting to learn more about the genetic origins of Glaucoma. This research uses differential expression (DE) and gene ontology (GO) analyses to study the genetic differences between mice with severe Glaucoma and multiple control groups. Optical nerve head (ONH) and retina data samples of genome-wide RNA expression from NCBI (NIH) are used for pairwise comparison experimentation. In addition, principal component analysis (PCA) and dispersion visualization methods are employed to perform quality control tests of the sequenced data. Genes with skewed gene counts are also…
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Taxonomy
TopicsGlaucoma and retinal disorders · Flavonoids in Medical Research · Machine Learning in Bioinformatics
MethodsOntology
