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| Status |
Public on Aug 04, 2020 |
| Title |
Quantitative tRNA-sequencing uncovers metazoan tissue-specific tRNA regulation |
| Organisms |
Homo sapiens; Mus musculus |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
Transfer RNAs (tRNA) are quintessential in deciphering the genetic code; disseminating nucleic acid triplets into correct amino acid identity. While this decoding function is clear, an emerging theme is that tRNA abundance and functionality can powerfully impact protein production rate, folding, activity, and messenger RNA stability. Importantly, however, the expression pattern of tRNAs (in even simple systems) is obliquely known. Limited analysis suggests tRNA levels change during proliferation, differentiation, cancer, and neurodegeneration; possibly mediating changes in translation efficiency and mRNA stability. A major limitation for the field has been the ability to subject tRNA pools to high-throughput analysis as they are highly structured, modified, and of high sequence similarity. Here we present Quantitative Mature tRNA sequencing (QuantM-tRNA seq), an easily implemented high-throughput technique to monitor tRNA abundance and sequence variants (possibly due to RNA modifications). With QuantM-tRNA seq we provide a comprehensive analysis of the tRNA transcriptome from distinct mammalian tissues. We observe dramatic distinctions in isodecoder expression and likely RNA modifications between unique tissues with a particularly strong signature within the central nervous system. Remarkably, despite dramatic changes in tRNA isodecoder gene expression, the overall anticodon pool of each tRNA family is similar. These findings suggest that anticodon pools are buffered via an unknown mechanism to achieve uniform decoding throughout the body.
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| Overall design |
tRNA sequencing from total RNA of 293 cells in duplicate. In addition, tRNA sequencing from total RNA from the cerebellum, cortex, medulla oblongata, spinal cord, heart, liver, and tibialis of C57BL/6J wild-type mice.
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| Contributor(s) |
Pinkard O, McFarland S, Sweet T, Coller J |
| Citation(s) |
32796835 |
| Submission date |
Dec 04, 2019 |
| Last update date |
Aug 31, 2020 |
| Contact name |
Jeff Coller |
| E-mail(s) |
jmc71@case.edu
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| Phone |
216-368-0299
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| Organization name |
Case Western Reserve University
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| Department |
Center for RNA Science and Therapeutics
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| Street address |
10900 Euclid Ave
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| City |
Cleveland |
| State/province |
OH |
| ZIP/Postal code |
44106 |
| Country |
USA |
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| Platforms (2) |
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| Samples (29)
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| Relations |
| BioProject |
PRJNA593498 |
| SRA |
SRP234698 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE141436_293FlpIn_DM_isodecoder_raw_counts.csv.gz |
3.0 Kb |
(ftp)(http) |
CSV |
| GSE141436_293FlpIn_isodecoder_raw_counts.csv.gz |
12.1 Kb |
(ftp)(http) |
CSV |
| GSE141436_Mouse_tissue_anticodon_raw_counts.csv.gz |
3.6 Kb |
(ftp)(http) |
CSV |
| GSE141436_Mouse_tissue_isodecoder_raw_counts.csv.gz |
12.9 Kb |
(ftp)(http) |
CSV |
| GSE141436_Mouse_tissue_variant_counts.csv.gz |
720.5 Kb |
(ftp)(http) |
CSV |
| GSE141436_Mouse_tissue_variant_counts_DM.csv.gz |
136.2 Kb |
(ftp)(http) |
CSV |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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