Literature DB >> 29247756

Determining mRNA half-lives on a transcriptome-wide scale.

Andrew Lugowski1, Beth Nicholson2, Olivia S Rissland3.   

Abstract

Every step in the life cycle of an RNA transcript provides opportunity for regulation. One important aspect of post-transcriptional control is the regulation of RNA stability. Of the many strategies for determining mRNA stability, transcription inhibition and metabolic labeling have proved the most amenable to high-throughput analysis and have opened the door to dissecting mRNA decay transcriptome-wide. Here, we describe experimental and computational methods to determine transcriptome-wide RNA stabilities using both pharmacological inhibition of transcription and metabolic labeling. To aid in the analysis of these experiments, we discuss key characteristics of high-quality experiments and address other experimental and computational considerations for the analysis of mRNA stability. Broader application of these approaches will further our understanding of mRNA decay and illuminate its contribution to different biological processes.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Keywords:  Metabolic labeling; Transcription shut-off; mRNA decay

Mesh:

Substances:

Year:  2017        PMID: 29247756     DOI: 10.1016/j.ymeth.2017.12.006

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  22 in total

1.  Transcriptome stability profiling using 5'-bromouridine IP chase (BRIC-seq) identifies novel and functional microRNA targets in human melanoma cells.

Authors:  Piyush Joshi; Tatsuya Seki; Shinobu Kitamura; Andrea Bergano; Bongyong Lee; Ranjan J Perera
Journal:  RNA Biol       Date:  2019-06-16       Impact factor: 4.652

2.  Evolutionarily informed deep learning methods for predicting relative transcript abundance from DNA sequence.

Authors:  Jacob D Washburn; Maria Katherine Mejia-Guerra; Guillaume Ramstein; Karl A Kremling; Ravi Valluru; Edward S Buckler; Hai Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2019-03-06       Impact factor: 11.205

3.  Global Profiling of Cellular Substrates of Human Dcp2.

Authors:  Yang Luo; Jeremy A Schofield; Matthew D Simon; Sarah A Slavoff
Journal:  Biochemistry       Date:  2020-05-14       Impact factor: 3.162

Review 4.  A molecular-level perspective on the frequency, distribution, and consequences of messenger RNA modifications.

Authors:  Joshua D Jones; Jeremy Monroe; Kristin S Koutmou
Journal:  Wiley Interdiscip Rev RNA       Date:  2020-01-21       Impact factor: 9.957

5.  Optimizing cardiac ischemic preconditioning and postconditioning via epitranscriptional regulation.

Authors:  Richa Saxena; Neal L Weintraub; Yaoliang Tang
Journal:  Med Hypotheses       Date:  2019-10-24       Impact factor: 1.538

6.  Gene Regulatory Strategies that Decode the Duration of NFκB Dynamics Contribute to LPS- versus TNF-Specific Gene Expression.

Authors:  Supriya Sen; Zhang Cheng; Katherine M Sheu; Yu Hsin Chen; Alexander Hoffmann
Journal:  Cell Syst       Date:  2020-01-22       Impact factor: 10.304

7.  Measuring mRNA Decay with Roadblock-qPCR.

Authors:  Maegan J Watson; Carson C Thoreen
Journal:  Curr Protoc       Date:  2022-01

8.  Selective Translation of Low Abundance and Upregulated Transcripts in Halobacterium salinarum.

Authors:  Adrián López García de Lomana; Ulrike Kusebauch; Arjun V Raman; Min Pan; Serdar Turkarslan; Alan P R Lorenzetti; Robert L Moritz; Nitin S Baliga
Journal:  mSystems       Date:  2020-07-28       Impact factor: 6.496

9.  Differential contribution of steady-state RNA and active transcription in chromatin organization.

Authors:  A Rasim Barutcu; Benjamin J Blencowe; John L Rinn
Journal:  EMBO Rep       Date:  2019-08-26       Impact factor: 8.807

10.  Decoupling the impact of microRNAs on translational repression versus RNA degradation in embryonic stem cells.

Authors:  Jacob W Freimer; T J Hu; Robert Blelloch
Journal:  Elife       Date:  2018-07-25       Impact factor: 8.140

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