RNA sequencing analysis of the developing chicken retina
RNA sequencing transcriptome analysis using massively parallel next generation sequencing technology provides the capability to understand global changes in gene expression throughout a range of tissue samples. Development of the vertebrate retina requires complex temporal orchestration of transcrip...
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Veröffentlicht in: | Scientific data 2016-12, Vol.3 (1), p.160117-160117, Article 160117 |
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Sprache: | eng |
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Zusammenfassung: | RNA sequencing transcriptome analysis using massively parallel next generation sequencing technology provides the capability to understand global changes in gene expression throughout a range of tissue samples. Development of the vertebrate retina requires complex temporal orchestration of transcriptional activation and repression. The chicken embryo (
Gallus gallus
) is a classic model system for studying developmental biology and retinogenesis. Existing retinal transcriptome projects have been critical to the vision research community for studying aspects of murine and human retinogenesis, however, there are currently no publicly available data sets describing the developing chicken retinal transcriptome. Here we used Illumina RNA sequencing (RNA-seq) analysis to characterize the mRNA transcriptome of the developing chicken retina in an effort to identify genes critical for retinal development in this important model organism. These data will be valuable to the vision research community for characterizing global changes in gene expression between ocular tissues and critical developmental time points during retinogenesis in the chicken retina.
Design Type(s)
organism development design • transcription profiling by high throughput sequencing design
Measurement Type(s)
transcription profiling assay
Technology Type(s)
RNA sequencing
Factor Type(s)
life cycle stage
Sample Characteristic(s)
Gallus gallus • retina • cornea
Machine-accessible metadata file describing the reported data
(ISA-Tab format) |
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ISSN: | 2052-4463 2052-4463 |
DOI: | 10.1038/sdata.2016.117 |