Evidence map›Paper›PMID 19111184›Full record

ArticleMethods in enzymology2008

Messenger RNA half-life measurements in mammalian cells.

Chyi-Ying A Chen, Nader Ezzeddine, Ann-Bin Shyu

Abstract read
In one paragraph

Article in Methods in enzymology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers.

0numbers the graph read from it
0cells of the map it votes in
155citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

155 citing papers in PubMed.

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  10. Histone Lactylation Contributes to Neuropathic Pain by Facilitating mThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
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95 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Chyi-Ying A ChenDepartment of Biochemistry and Molecular Biology, The University of Texas Medical School at Houston, Houston, Texas, USA.
Nader Ezzeddine
Ann-Bin Shyu

Funding

Messenger RNA Turnover in Mammalian CellsR01GM046454 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI SHYU, ANN-BIN · 1991 to 2016
$7.1M
NIGMS NIH HHS GM 46454NIGMS NIH HHS R01 GM046454
6 · The paper itself

Abstract

The recognition of the importance of mRNA turnover in regulating eukaryotic gene expression has mandated the development of reliable, rigorous, and "user-friendly" methods to accurately measure changes in mRNA stability in mammalian cells. Frequently, mRNA stability is studied indirectly by analyzing the steady-state level of mRNA in the cytoplasm; in this case, changes in mRNA abundance are assumed to reflect only mRNA degradation, an assumption that is not always correct. Although direct measurements of mRNA decay rate can be performed with kinetic labeling techniques and transcriptional inhibitors, these techniques often introduce significant changes in cell physiology. Furthermore, many critical mechanistic issues as to deadenylation kinetics, decay intermediates, and precursor-product relationships cannot be readily addressed by these methods. In light of these concerns, we have previously reported transcriptional pulsing methods based on the c-fos serum-inducible promoter and the tetracycline-regulated (Tet-off) promoter systems to better explain mechanisms of mRNA turnover in mammalian cells. In this chapter, we describe and discuss in detail different protocols that use these two transcriptional pulsing methods. The information described here also provides guidelines to help develop optimal protocols for studying mammalian mRNA turnover in different cell types under a wide range of physiologic conditions.

Indexed as

RNA StabilityAnimalsHalf-LifeHumansMammalsPromoter Regions, GeneticRNA, MessengerTranscription, GeneticRNA, Messenger

Identifiers

PMID19111184
PMCPMC2778729

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.