Evidence map›Paper›PMID 28130425›Full record

ArticleNucleic acids research2017

Extensive libraries of gene truncation variants generated by in vitro transposition.

Aleardo Morelli, Yari Cabezas, Lauren J Mills, Burckhard Seelig

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

4 authors.

Aleardo MorelliDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA.
Yari CabezasDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA.
Lauren J MillsMinnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN 55455, USA.
Burckhard SeeligDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA.

Funding

Developing a synthetic evolution approach to create de novo enzymesR01GM108703 · NIGMS · UNIVERSITY OF MINNESOTA · PI SEELIG, BURCKHARD · 2014 to 2017
$1.1M
NIGMS NIH HHS R01 GM108703
6 · The paper itself

Abstract

The detailed analysis of the impact of deletions on proteins or nucleic acids can reveal important functional regions and lead to variants with improved macromolecular properties. We present a method to generate large libraries of mutants with deletions of varying length that are randomly distributed throughout a given gene. This technique facilitates the identification of crucial sequence regions in nucleic acids or proteins. The approach utilizes in vitro transposition to generate 5΄ and 3΄ fragment sub-libraries of a given gene, which are then randomly recombined to yield a final library comprising both terminal and internal deletions. The method is easy to implement and can generate libraries in three to four days. We used this approach to produce a library of >9000 random deletion mutants of an artificial RNA ligase enzyme representing 32% of all possible deletions. The quality of the library was assessed by next-generation sequencing and detailed bioinformatics analysis. Finally, we subjected this library to in vitro selection and obtained fully functional variants with deletions of up to 18 amino acids of the parental enzyme that had been 95 amino acids in length.

Indexed as

Amino Acid SequenceGene LibrarySequence Deletion3' Flanking Region5' Flanking Regionbeta-LactamasesComputational BiologyDNADNA PrimersEscherichia coliPhosphoric Diester HydrolasesPlasmidsPolymerase Chain ReactionRecombinant ProteinsRNA Ligase (ATP)Transposasesbeta-LactamasesDNADNA Primersglycerophosphodiester phosphodiesterasePhosphoric Diester HydrolasesRecombinant ProteinsRNA Ligase (ATP)Transposases

Identifiers

PMID28130425
PMCPMC5449547

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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.