Evidence map›Paper›PMID 17317681›Full record

ArticleNucleic acids research2007

A versatile ligation-independent cloning method suitable for high-throughput expression screening applications.

Nick S Berrow, David Alderton, Sarah Sainsbury, Joanne Nettleship, Rene Assenberg, Nahid Rahman, David I Stuart, Raymond J Owens

Open access · goldAbstract readValidation Study
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 326 papers.

0numbers the graph read from it
0cells of the map it votes in
326citing papers in PubMed
6.7field-weighted citation impact, top 2% 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

326 citing papers in PubMed, 566 citations in OpenAlex.

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  20. A global survey of intramolecular isopeptide bonds.Protein science : a publication of the Protein Society · 2025
    Article

266 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

8 authors at 2 institutions in 1 country.

Nick S BerrowThe Oxford Protein Production Facility, Henry Wellcome Building for Genomic Medicine, University of Oxford, Oxford, UK.
David Alderton
Sarah Sainsbury
Joanne Nettleship
Rene Assenberg
Nahid Rahman
David I Stuart
Raymond J Owens
Centre for Human Genetics · GBUniversity of Oxford · GB

Funding

Medical Research Council G0400717Wellcome Trust
6 · The paper itself

Abstract

This article describes the construction of a set of versatile expression vectors based on the In-Fusion cloning enzyme and their use for high-throughput cloning and expression screening. Modifications to commonly used vectors rendering them compatible with In-Fusion has produced a ligation-independent cloning system that is (1) insert sequence independent (2) capable of cloning large PCR fragments (3) efficient over a wide (20-fold) insert concentration range and (4) applicable to expression in multiple hosts. The system enables the precise engineering of (His(6)-) tagged constructs with no undesirable vector or restriction-site-derived amino acids added to the expressed protein. The use of a multiple host-enabled vector allows rapid screening in both E. coli and eukaryotic hosts (HEK293T cells and insect cell hosts, e.g. Sf9 cells). These high-throughput screening activities have prompted the development and validation of automated protocols for transfection of mammalian cells and Ni-NTA protein purification.

Indexed as

AnimalsBacterial ProteinsCell LineCloning, MolecularEscherichia coliGenes, ViralGenetic VectorsHumansNeisseriaNerve Tissue ProteinsRecombinant Fusion ProteinsTranscription FactorsBacterial ProteinsKIAA0319 protein, humanNerve Tissue ProteinsRecombinant Fusion ProteinsTranscription Factors

Identifiers

PMID17317681
PMCPMC1874605
OpenAlexW2103747393

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.