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Status |
Public on Aug 07, 2023 |
Title |
MRT-ModSeq - Rapid detection of RNA modifications with MarathonRT |
Organisms |
Escherichia coli; Saccharomyces cerevisiae; Homo sapiens |
Experiment type |
Other
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Summary |
The study aimed to characterize the mutational signatures produced by MarathonRT upon reverse transcription of modified cellular RNAs and use the signatures of validated modified rRNAs as training data for machine learning algorithms. Performance of the resulting trained algorithms was evaluated on a series of test RNAs in order to establish a general workflow for detection of RNA modifications
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Overall design |
Total RNA sequenced from human, bacterial and yeast cells; Mg libraries = untreated samples; Mn libraries = modified samples PolyA-enriched RNA amplified and sequenced from human cells
Please note that the processed data generated from both *_Mg and *_Mn samples is linked to the corresponding *_Mg sample records.
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Contributor(s) |
Tavares R, Mahadeshwar G, Wan H, Pyle AM |
Citation(s) |
37292902 |
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Submission date |
May 03, 2022 |
Last update date |
Aug 08, 2023 |
Contact name |
Rafael de Cesaris Araujo Tavares |
E-mail(s) |
[email protected]
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Organization name |
Yale University
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Department |
Chemistry
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Lab |
Pyle
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Street address |
260 Whitney Ave
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City |
New Haven |
State/province |
Connecticut |
ZIP/Postal code |
06511 |
Country |
USA |
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Platforms (4)
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GPL18573 |
Illumina NextSeq 500 (Homo sapiens) |
GPL19756 |
Illumina NextSeq 500 (Saccharomyces cerevisiae) |
GPL21222 |
Illumina NextSeq 500 (Escherichia coli) |
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Samples (20)
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Relations |
BioProject |
PRJNA834813 |