Evidence map›Paper›PMID 11333023›Full record

ArticleRNA (New York, N.Y.)2001

Fending off decay: a combinatorial approach in intact cells for identifying mRNA stability elements.

Z Chrzanowska-Lightowlers, R N Lightowlers

Open access · greenAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 88% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Z Chrzanowska-LightowlersDepartment of Neurology, University of Newcastle upon Tyne, The Medical School, Newcastle upon Tyne, United Kingdom. Z.Chrzanowska-Lightowlers@ncl.ac.uk
R N Lightowlers
Newcastle University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The strategy of systematic evolution, whereby nucleic acid sequences or conformers can be selected and amplified from a randomized population, has been exploited by many research groups for numerous purposes. It is, however, a technique largely performed in vitro, under nonphysiological conditions. We have now modified this in vitro approach to accomplish selection in growing cells. Here, we report that this new methodology has been used in vivo to select RNA elements that confer increased transcript stability. A randomized cassette was embedded in a 3'-untranslated region (UTR), downstream from the luciferase reporter open reading frame. A heterogeneous population of capped luciferase mRNA was then generated by in vitro transcription. Human liver Hep G2 cells were electroporated with this population of luciferase mRNA and total cytoplasmic RNA was isolated after varying lengths of incubation. Following RT-PCR, the 3' UTR was used to reconstruct a new population of luciferase templates, permitting subsequent cycles of in vitro transcription, electroporation, RNA isolation, and RT-PCR. Increasing the incubation time at each cycle before RNA isolation imposed selection for stable transcripts. The functional half-life of the luciferase mRNA population increased from 55 to 140 min after four cycles. Subsequent sequencing of the selected 3' UTRs revealed G-U rich elements in clones with extended chemical and functional half-lives.

Indexed as

3' Untranslated RegionsCells, CulturedCloning, MolecularDirected Molecular EvolutionElectroporationGenes, ReporterHalf-LifeHumansLiverLuciferasesMutagenesis, InsertionalRNA, MessengerRNA Processing, Post-TranscriptionalRNA StabilitySelection, Genetic3' Untranslated RegionsLuciferasesRNA, Messenger

Identifiers

PMID11333023
PMCPMC1370099
OpenAlexW2145712698

What OpenQuestion holds

Textmetadata
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.