Evidence map›Paper›PMID 23748378›Full record

ArticleNature structural & molecular biology2013

Molecular dissection of human Argonaute proteins by DNA shuffling.

Nina Schürmann, Leonardo G Trabuco, Christian Bender, Robert B Russell, Dirk Grimm

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Nature structural & molecular biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

54 citing papers in PubMed, 81 citations in OpenAlex.

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  17. Advances in oligonucleotide drug delivery.Nature reviews. Drug discovery · 2020
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Nina SchürmannHeidelberg University Hospital, Cluster of Excellence CellNetworks, Department of Infectious Diseases, Virology, Germany.
Leonardo G Trabuco
Christian Bender
Robert B Russell
Dirk Grimm
Heidelberg University · DEJohannes Gutenberg University Mainz · DEUniversity Hospital Heidelberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A paramount task in RNA interference research is to decipher the complex biology of cellular effectors, exemplified in humans by four pleiotropic Argonaute proteins (Ago1-Ago4). Here, we exploited DNA family shuffling, a molecular evolution technology, to generate chimeric Ago protein libraries for dissection of intricate phenotypes independently of prior structural knowledge. Through shuffling of human Ago2 and Ago3, we discovered two N-terminal motifs that govern RNA cleavage in concert with the PIWI domain. Structural modeling predicts an impact on protein rigidity and/or RNA-PIWI alignment, suggesting new mechanistic explanations for Ago3's slicing deficiency. Characterization of hybrids including Ago1 and Ago4 solidifies that slicing requires the juxtaposition and combined action of multiple disseminated modules. We also present a Gateway library of codon-optimized chimeras of human Ago1-Ago4 and molecular evolution analysis software as resources for future investigations into RNA interference sequence-structure-function relationships.

Indexed as

Directed Molecular EvolutionDNA ShufflingAmino Acid SequenceArgonaute ProteinsConsensus SequenceDNA, ComplementaryDNA, RecombinantEukaryotic Initiation FactorsGene LibraryHumansMicroRNAsModels, MolecularMolecular Sequence DataPhenotypeProtein ConformationProtein Structure, TertiaryAGO1 protein, humanAGO2 protein, humanAGO3 protein, humanAGO4 protein, humanArgonaute ProteinsDNA, ComplementaryDNA, RecombinantEukaryotic Initiation FactorsMicroRNAsRecombinant Fusion ProteinsRNA, Small Interfering

Identifiers

PMID23748378
OpenAlexW2084889362

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.