Evidence map›Paper›PMID 28130422›Full record

ArticleNucleic acids research2017

AssemblX: a user-friendly toolkit for rapid and reliable multi-gene assemblies.

Lena Hochrein, Fabian Machens, Juergen Gremmels, Karina Schulz, Katrin Messerschmidt, Bernd Mueller-Roeber

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

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  6. Review
  7. Artificial Transcription Factors for Tuneable Gene Expression inFrontiers in bioengineering and biotechnology · 2021
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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

6 authors.

Lena HochreinUniversity of Potsdam, Cell2Fab Research Unit, Karl-Liebknecht-Strasse 24-25, 14476 Potsdam, Germany.
Fabian MachensUniversity of Potsdam, Cell2Fab Research Unit, Karl-Liebknecht-Strasse 24-25, 14476 Potsdam, Germany.
Juergen GremmelsMax Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam, Germany.
Karina SchulzUniversity of Potsdam, Cell2Fab Research Unit, Karl-Liebknecht-Strasse 24-25, 14476 Potsdam, Germany.
Katrin MesserschmidtUniversity of Potsdam, Cell2Fab Research Unit, Karl-Liebknecht-Strasse 24-25, 14476 Potsdam, Germany.
Bernd Mueller-RoeberMax Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assembly of large DNA constructs coding for entire pathways poses a major challenge in the field of synthetic biology. Here, we present AssemblX, a novel, user-friendly and highly efficient multi-gene assembly strategy. The software-assisted AssemblX process allows even unexperienced users to rapidly design, build and test DNA constructs with currently up to 25 functional units, from 75 or more subunits. At the gene level, AssemblX uses scar-free, overlap-based and sequence-independent methods, allowing the unrestricted design of transcriptional units without laborious parts domestication. The assembly into multi-gene modules is enabled via a standardized, highly efficient, polymerase chain reaction-free and virtually sequence-independent scheme, which relies on rare cutting restriction enzymes and optimized adapter sequences. Selection and marker switching strategies render the whole process reliable, rapid and very effective. The assembly product can be easily transferred to any desired expression host, making AssemblX useful for researchers from various fields.

Indexed as

GenomeSoftwareCloning, MolecularComputational BiologyContig MappingDNADNA Restriction EnzymesEscherichia coliGenetic MarkersPlasmidsPromoter Regions, GeneticRecombinant ProteinsSaccharomyces cerevisiaeDNADNA Restriction EnzymesGenetic MarkersRecombinant Proteins

Identifiers

PMID28130422
PMCPMC5449548

What OpenQuestion holds

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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.