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Status |
Public on Jul 05, 2016 |
Title |
An improved method for identifying biological circular RNAs |
Organisms |
Mus musculus; synthetic construct |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
Purpose: We are using the illumina sequencing to compare the false positive and true positive circular RNA findings to confine the method to detect the true circular RNAs Methods: The testis whole transcriptome profiling was generated from 4-week mouse testis using illumina Nextseq, duplicated. The sequence reads that passed quality filters were analyzed at the transcript isoform level with TopHat followed by Cufflinks. Results: our data suggest that circular RNAs identified based on junction sequences in the RNA-seq reads, especially those from Illumina Hiseq sequencing, mostly result from template-switching events during reverse transcription by MMLV-derived reverse transcriptases. It is critical to employ reverse transcriptases lacking terminal transferase activity (e.g., MonsterScript) to construct sequencing library or perform RT-PCR for identification and quantification of true circular RNAs. Conclusions: Our study represents the first detailed analysis of retinal transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.
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Overall design |
The wild type mouse testis RNAs were constructed NGS library by two different enzyme, then parallel sequenced in illumina Nextseq
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Contributor(s) |
Tang C, Yu T, Yan W |
Citation missing |
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Submission date |
Jul 04, 2016 |
Last update date |
May 15, 2019 |
Contact name |
Wei Yan |
E-mail(s) |
wyan@medicine.nevada.edu
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Phone |
(775) 784-7765
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Organization name |
University of Nevada
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Department |
Physiology
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Lab |
Wei Yan Lab
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Street address |
1664 N. Virginia Street
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City |
reno |
State/province |
NV |
ZIP/Postal code |
89557 |
Country |
USA |
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Platforms (2) |
GPL19057 |
Illumina NextSeq 500 (Mus musculus) |
GPL19424 |
Illumina NextSeq 500 (synthetic construct) |
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Samples (12)
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Relations |
BioProject |
PRJNA327756 |
SRA |
SRP077874 |