Evidence map›Paper›PMID 17916575›Full record

ArticleNucleic acids research2007

Discovery of a mRNA mitochondrial localization element in Saccharomyces cerevisiae by nonhomologous random recombination and in vivo selection.

Jane M Liu, David R Liu

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Rapid discovery of functional RNA domains.Nucleic acids research · 2025
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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.

Jane M LiuHoward Hughes Medical Institute, Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 01238, USA.
David R Liu
Howard Hughes Medical Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In budding yeast, over 100 nuclear-encoded mRNAs are localized to the mitochondria. The determinants of mRNA localization to the mitochondria are not well understood, and protein factors involved in this process have not yet been identified. To reveal the sequence determinants for mitochondrial localization in a comprehensive and unbiased manner, we generated highly diversified libraries of 3' UTR regions from a known mitochondrially localized mRNA by nonhomologous random recombination (NRR) and subjected the resulting sequences to an in vivo selection that links cell survival to mitochondrial mRNA localization. When applied to the yeast ATP2 mRNA, this approach rapidly identified a 50-nt consensus motif, designated Min2, as well as two Min2-homologous regions naturally present downstream of the ATP2 stop codon, which are sufficient when appended to the 3' end of various reporter mRNAs to induce mitochondrial localization. Site-directed mutagenesis of Min2 revealed primary and secondary structure elements that contribute to localization activity. In addition, the Min2 motif may facilitate the identification of proteins involved in this mode of establishing cellular asymmetry.

Indexed as

MutagenesisProtein Sorting SignalsAmino Acid MotifsBase SequenceGene Expression Regulation, FungalMolecular Sequence DataMutagenesis, Site-DirectedNucleic Acid ConformationProton-Translocating ATPasesRNA, MessengerSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsATP2 protein, S cerevisiaeProtein Sorting SignalsProton-Translocating ATPasesRNA, MessengerSaccharomyces cerevisiae Proteins

Identifiers

PMID17916575
PMCPMC2175308
OpenAlexW2005738119

What OpenQuestion holds

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LicenceCC BY-NC
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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.