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Status |
Public on Aug 01, 2018 |
Title |
Exon Level Machine Learning Analyses Elucidate Novel Candidate miRNA Targets in an Avian Model of Fetal Alcohol Spectrum Disorder |
Organism |
Gallus gallus |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
An RNA-seq dataset obtained from neural fold-stage chicken (Gallus gallus, strain Special Black) embryos that were exposed to a pharmacologically-relevant alcohol concentration (52 mM for 90 min) or isotonic saline. The cranial headfolds were isolated 6 hours following the initial alcohol exposure. Following RNA isolation, cDNA synthesis, and quality assurance (20), paired-end reads (75 bp) were generated on an Illumina Genome Analyzer IIx (University of Wisconsin Biotechnology Center).
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Overall design |
Paired end runs with 2 replicate ethanol exposed samples (pool of 23 individual neural folds) and 2 saline control samples (pool of 23 individual neural folds).
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Contributor(s) |
Al-Shaer AE, Smith SM |
Citation(s) |
30973878 |
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Submission date |
Jun 05, 2018 |
Last update date |
Apr 12, 2019 |
Contact name |
Abrar E Al-Shaer |
E-mail(s) |
abrar@email.unc.edu
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Organization name |
University of North Carolina Chapel Hill
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Department |
Nutrition
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Lab |
Saame Raza Shaikh
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Street address |
135 Dauer Dr
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City |
Chapel Hill |
State/province |
NC |
ZIP/Postal code |
27599 |
Country |
USA |
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Platforms (1) |
GPL13797 |
Illumina Genome Analyzer IIx (Gallus gallus) |
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Samples (4)
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Relations |
BioProject |
PRJNA474737 |
SRA |
SRP149834 |