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Characterizing RNA stability genome-wide through combined analysis of PRO-seq and RNA-seq data
by
Chivu, Alexandra G.
, Blumberg, Amit
, Siepel, Adam
, Danko, Charles G.
, Rice, Edward J.
, Dukler, Noah
, Krumholz, Katie
, Zhao, Yixin
, Huang, Yi-Fei
in
Analysis
/ Binding
/ Biomedical and Life Sciences
/ Control stability
/ Decay
/ Decay rate
/ Deoxyribonucleic acid
/ DNA
/ DNA methylation
/ Epigenomics
/ Equilibrium
/ Estimation
/ Gene expression
/ Gene sequencing
/ Genetic regulation
/ Genomes
/ Half-life
/ Histones
/ Life Sciences
/ Metabolism
/ Methodology
/ Methodology Article
/ Methods
/ miRNA
/ mRNA stability
/ Multivariate statistical analysis
/ Nucleotide sequence
/ Observations
/ Polyadenylation
/ PRO-seq
/ Proteins
/ Ribonucleic acid
/ RNA
/ RNA half-life
/ RNA splicing
/ Sensitivity
/ Stability analysis
/ Structural equation modeling
/ Synthesis
/ Transcription
2021
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Characterizing RNA stability genome-wide through combined analysis of PRO-seq and RNA-seq data
by
Chivu, Alexandra G.
, Blumberg, Amit
, Siepel, Adam
, Danko, Charles G.
, Rice, Edward J.
, Dukler, Noah
, Krumholz, Katie
, Zhao, Yixin
, Huang, Yi-Fei
in
Analysis
/ Binding
/ Biomedical and Life Sciences
/ Control stability
/ Decay
/ Decay rate
/ Deoxyribonucleic acid
/ DNA
/ DNA methylation
/ Epigenomics
/ Equilibrium
/ Estimation
/ Gene expression
/ Gene sequencing
/ Genetic regulation
/ Genomes
/ Half-life
/ Histones
/ Life Sciences
/ Metabolism
/ Methodology
/ Methodology Article
/ Methods
/ miRNA
/ mRNA stability
/ Multivariate statistical analysis
/ Nucleotide sequence
/ Observations
/ Polyadenylation
/ PRO-seq
/ Proteins
/ Ribonucleic acid
/ RNA
/ RNA half-life
/ RNA splicing
/ Sensitivity
/ Stability analysis
/ Structural equation modeling
/ Synthesis
/ Transcription
2021
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Characterizing RNA stability genome-wide through combined analysis of PRO-seq and RNA-seq data
by
Chivu, Alexandra G.
, Blumberg, Amit
, Siepel, Adam
, Danko, Charles G.
, Rice, Edward J.
, Dukler, Noah
, Krumholz, Katie
, Zhao, Yixin
, Huang, Yi-Fei
in
Analysis
/ Binding
/ Biomedical and Life Sciences
/ Control stability
/ Decay
/ Decay rate
/ Deoxyribonucleic acid
/ DNA
/ DNA methylation
/ Epigenomics
/ Equilibrium
/ Estimation
/ Gene expression
/ Gene sequencing
/ Genetic regulation
/ Genomes
/ Half-life
/ Histones
/ Life Sciences
/ Metabolism
/ Methodology
/ Methodology Article
/ Methods
/ miRNA
/ mRNA stability
/ Multivariate statistical analysis
/ Nucleotide sequence
/ Observations
/ Polyadenylation
/ PRO-seq
/ Proteins
/ Ribonucleic acid
/ RNA
/ RNA half-life
/ RNA splicing
/ Sensitivity
/ Stability analysis
/ Structural equation modeling
/ Synthesis
/ Transcription
2021
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Characterizing RNA stability genome-wide through combined analysis of PRO-seq and RNA-seq data
Journal Article
Characterizing RNA stability genome-wide through combined analysis of PRO-seq and RNA-seq data
2021
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Overview
Background
The concentrations of distinct types of RNA in cells result from a dynamic equilibrium between RNA synthesis and decay. Despite the critical importance of RNA decay rates, current approaches for measuring them are generally labor-intensive, limited in sensitivity, and/or disruptive to normal cellular processes. Here, we introduce a simple method for estimating relative RNA half-lives that is based on two standard and widely available high-throughput assays: Precision Run-On sequencing (PRO-seq) and RNA sequencing (RNA-seq).
Results
Our method treats PRO-seq as a measure of transcription rate and RNA-seq as a measure of RNA concentration, and estimates the rate of RNA decay required for a steady-state equilibrium. We show that this approach can be used to assay relative RNA half-lives genome-wide, with good accuracy and sensitivity for both coding and noncoding transcription units. Using a structural equation model (SEM), we test several features of transcription units, nearby DNA sequences, and nearby epigenomic marks for associations with RNA stability after controlling for their effects on transcription. We find that RNA splicing-related features are positively correlated with RNA stability, whereas features related to miRNA binding and DNA methylation are negatively correlated with RNA stability. Furthermore, we find that a measure based on U1 binding and polyadenylation sites distinguishes between unstable noncoding and stable coding transcripts but is not predictive of relative stability within the mRNA or lincRNA classes. We also identify several histone modifications that are associated with RNA stability.
Conclusion
We introduce an approach for estimating the relative half-lives of individual RNAs. Together, our estimation method and systematic analysis shed light on the pervasive impacts of RNA stability on cellular RNA concentrations.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Binding
/ Biomedical and Life Sciences
/ Decay
/ DNA
/ Genomes
/ Histones
/ Methods
/ miRNA
/ Multivariate statistical analysis
/ PRO-seq
/ Proteins
/ RNA
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