Rapid and Scalable Profiling of Nascent RNA with fastGRO.
Rapid and Scalable Profiling of Nascent RNA with fastGRO.
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DOI:
10.1016/j.celrep.2020.108373
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发表时间:
2020-11-10
期刊:
影响因子:
8.8
通讯作者:
Gardini A
中科院分区:
文献类型:
--
作者:
Barbieri E;Hill C;Quesnel-Vallières M;Zucco AJ;Barash Y;Gardini A
Genome-wide profiling of nascent RNA has become a fundamental tool to study transcription regulation. Unlike steady-state RNA-sequencing (RNA-seq), nascent RNA profiling mirrors real-time activity of RNA polymerases and provides an accurate readout of transcriptome-wide variations. Some species of nuclear RNAs (i.e., large intergenic noncoding RNAs [lincRNAs] and eRNAs) have a short half-life and can only be accurately gauged by nascent RNA techniques. Furthermore, nascent RNA-seq detects post-cleavage RNA at termination sites and promoter-associated antisense RNAs, providing insights into RNA polymerase II (RNAPII) dynamics and processivity. Here, we present a run-on assay with 4-thio ribonucleotide (4-S-UTP) labeling, followed by reversible biotinylation and affinity purification via streptavidin. Our protocol allows streamlined sample preparation within less than 3 days. We named the technique fastGRO (fast Global Run-On). We show that fastGRO is highly reproducible and yields a more complete and extensive coverage of nascent RNA than comparable techniques can. Importantly, we demonstrate that fastGRO is scalable and can be performed with as few as 0.5 × 106 cells. Barbieri et al. developed fastGRO, a nascent RNA-sequencing technique based on nuclear run-on. Using a streamlined, under-3-days protocol, fastGRO tracks the activity of RNA polymerase for differential gene expression analysis, polymerase kinetic studies, and profiling of lowly expressed and unstable RNA species. A low-input fastGRO protocol profiles nascent RNA in as little as 0.5 × 106 cells.
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影响因子:
16
作者:
Duffy EE;Rutenberg-Schoenberg M;Stark CD;Kitchen RR;Gerstein MB;Simon MD
通讯作者:
Simon MD
影响因子:
64.8
作者:
Lai F;Gardini A;Zhang A;Shiekhattar R
通讯作者:
Shiekhattar R
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DOI:
10.1111/febs.13101
发表时间:
2015-05
期刊:
The FEBS journal
影响因子:
--
作者:
Gardini A;Shiekhattar R
通讯作者:
Shiekhattar R
影响因子:
16
作者:
Heinz S;Benner C;Spann N;Bertolino E;Lin YC;Laslo P;Cheng JX;Murre C;Singh H;Glass CK
通讯作者:
Glass CK