Evidence map›Paper›PMID 18287042›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2008

Single mutations convert an outward K+ channel into an inward K+ channel.

Legong Li, Kun Liu, Yong Hu, Dongping Li, Sheng Luan

Open access · greenAbstract readComparative Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 42 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

5 authors at 3 institutions in 2 countries.

Legong LiCollege of Life Sciences, Capital Normal University, Beijing 100037, China.
Kun Liu
Yong Hu
Dongping Li
Sheng Luan
University of California, Berkeley · USCapital Normal University · CNHunan Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shaker-type K(+) channels in plants display distinct voltage-sensing properties despite sharing sequence and structural similarity. For example, an Arabidopsis K(+) channel (SKOR) and a tomato K(+) channel (LKT1) share high amino acid sequence similarity and identical domain structures; however, SKOR conducts outward K(+) current and is activated by positive membrane potentials (depolarization), whereas LKT1 conducts inward current and is activated by negative membrane potentials (hyperpolarization). The structural basis for the "opposite" voltage-sensing properties of SKOR and LKT1 remains unknown. Using a screening procedure combined with random mutagenesis, we identified in the SKOR channel single amino acid mutations that converted an outward-conducting channel into an inward-conducting channel. Further domain-swapping and random mutagenesis produced similar results, suggesting functional interactions between several regions of SKOR protein that lead to specific voltage-sensing properties. Dramatic changes in rectifying properties can be caused by single amino acid mutations, providing evidence that the inward and outward channels in the Shaker family from plants may derive from the same ancestor.

Indexed as

Amino Acid SequenceArabidopsisArabidopsis ProteinsCloning, MolecularElectrophysiologyIon Channel GatingMembrane PotentialsMutagenesisMutation, MissenseProtein Structure, TertiarySequence HomologyShaker Superfamily of Potassium ChannelsArabidopsis ProteinsShaker Superfamily of Potassium ChannelsSKOR protein, Arabidopsis

Identifiers

PMID18287042
PMCPMC2268552
OpenAlexW1995258991

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.