github link
Accession IconSRP041343

A high resolution sequencing and modeling identifies distinct dynamic RNA regulatory strategies

Organism Icon Danio rerio, Mus musculus
Sample Icon No Downloadable Samples
Technology Badge IconIllumina HiSeq 2000

Submitter Supplied Information

Description
To monitor the relative regulatory contributions of RNA production, processing and degradation, we sampled RNA from mouse DCs every 15 minutes, for the first 3 hours of their response to LPS (13 samples in total), following a short (10 minute) metabolic labeling pulse with 4sU preceding the sampled time point. We isolated RNA from each of these samples in two ways. First, to comprehensively measure total RNA regardless of its transcription time, we isolated RNA depleted of rRNA. Second, to measure only newly made RNA, we isolated 4sU-labeled RNA, which could only have been transcribed during the 10 minute labeling pulse and is thus enriched for short-lived transcripts, including mRNA precursors and processing intermediates. We deeply sequenced each isolated RNA population to provide the necessary depth to study exons, introns, and splicing junctions across the transcriptome. We showed our approach general utility by also applying it to lincRNAs and early zebrafish development data Overall design: Time-course mRNA profiles of mouse DCs that were stimulated with LPS, and labeled with a short (10 minute) 4sU pulse (0-3 hours, 15 min. intervals, 13 time points).
PubMed ID
Total Samples
21
Submitter’s Institution
No associated institution
Alternate Accession IDs

Samples

Show of 0 Total Samples
Filter
Add/Remove
Accession Code
Title
Processing Information
Additional Metadata
No rows found
Loading...