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Life Sciences Commons

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Genetics and Genomics

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Selected Works

2016

RNA-seq

Articles 1 - 3 of 3

Full-Text Articles in Life Sciences

Rna Sequencing Analysis Of The Developing Chicken Retina, Christophe Langouet-Astrie*, Annamarie Meinsen*, Emily R. Grunwald*, Stephen Turner, Raymond A. Enke Nov 2016

Rna Sequencing Analysis Of The Developing Chicken Retina, Christophe Langouet-Astrie*, Annamarie Meinsen*, Emily R. Grunwald*, Stephen Turner, Raymond A. Enke

Ray Enke Ph.D.

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 …


Sequence Annotation & Designing Gene-Specific Qpcr Primers (Computational), Ray A. Enke Oct 2016

Sequence Annotation & Designing Gene-Specific Qpcr Primers (Computational), Ray A. Enke

Ray Enke Ph.D.

This class tested protocol will guide students through the steps for the following activities:
  • Obtaining and annotating genomic DNA and mRNA sequence information
  • Designing primers for quantitative PCR (qPCR) analysis of a cDNA library


Integration Of Rna-Seq Data Analysis Into Undergraduate Lab Teaching Modules, Raymond A. Enke Jan 2016

Integration Of Rna-Seq Data Analysis Into Undergraduate Lab Teaching Modules, Raymond A. Enke

Ray Enke Ph.D.


Undergraduate students learn about Next Generation Sequencing (NGS) platforms in courses, but often have difficulty understanding the impact of these techniques without hands-on experience analyzing actual NGS datasets.  The NSF-supported Infrastructure & Training to Bring NGS Analysis Into Undergraduate Education project focuses on streamlining RNA-sequencing (RNA-seq) data analysis using a combination of bioinformatics and wet lab workflows tailored for implementation into diverse undergraduate laboratory classroom settings. These modular workflows can be applied to a variety of novel or publicly available RNA-seq datasets.
 
To create a course-based undergraduate research experience focusing on NGS that complements my research program, I …