Nascent transcript sequencing visualizes transcription at nucleotide resolution
By L. Churchman, Jonathan S. Weissman. Nature, 2011
831 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/db870d9b6e8fc28abe698184236e0b66be2478b0
How researchers see this paper
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In Molecular Biology
- Lei S. Qi
- Jennifer A. Doudna
- Luke A. Gilbert
- Jonathan S. Weissman
- Wendell A. Lim
- Matthew H. Larson
- Steven Henikoff
- Terri D. Bryson
Citations in the corpus
- Precise genome-wide mapping of single nucleosomes and linkers in vivo (2018, methodology): “Other data sets used in this study were downloaded using the following GEO accession numbers: GSE25107, NET-seq data [73]; GSE74787, Rpb3 ChIPseq data [79]; GSE47073, H2A.”
- CRISPR interference (CRISPRi) for sequence-specific control of gene expression (2013, methodology): “Otherwise, quantitative methods such as qRT-PCR or genome-wide NET-seq could be used to measure the effects on transcription 44,45 .”
- Repurposing CRISPR as an RNA-guided platform for sequence-specific control of gene expression. (2013, methodology): “Nascent RNA was purified from the eluate using the miRNeasy kit (QIAGEN) and was converted to DNA using a previously established library generation protocol (Churchman and Weissman, 2011).”
- FIDDLE: An integrative deep learning framework for functional genomic data inference (2016, background): “We first demonstrate that these individual data types contain information about TSS-seq by quantifying the prediction of conditional probability distribution and peak detection accuracy.”