Evidence map›Paper›PMID 33654716›Full record

ArticleBio-protocol2020

High-throughput Site-directed Scanning Mutagenesis Using a Two-fragment PCR Approach.

Franziska M Heydenreich, Tamara Miljuš, Dalibor Milić, Dmitry B Veprintsev

Abstract read
In one paragraph

Article in Bio-protocol, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

4 authors.

Franziska M HeydenreichDepartment of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA.
Tamara MiljušInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK.
Dalibor MilićDepartment of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Vienna, Austria.
Dmitry B VeprintsevCentre of Membrane Proteins and Receptors (COMPARE), University of Birmingham and University of Nottingham, Midlands, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Site-directed scanning mutagenesis is a useful tool applied in studying protein function and designing proteins with new properties, such as increased stability or enzymatic activity. Creating a systematic library of hundreds of site-directed mutants is still a demanding and expensive task. The established protocols for making such libraries include PCR amplification of the recombinant DNA using a pair of primers carrying a target mutation in the same PCR. Unfortunately, this approach is very often coupled with PCR artifacts which compromise overall efficiency of site-directed mutagenesis. To reduce the failure rate due to the PCR artifacts, we have set up a high-throughput mutagenesis protocol based on a two-fragment PCR approach. To this end, each mutation is introduced in two separate PCRs resulting in two linear fragments of the mutated plasmid. In the next steps, the PCR template is digested and the two matching plasmid fragments are joined together using Gibson assembly. Separating the corresponding mutagenic primers into two different PCRs decreases a number of artifacts and thus increases overall cloning efficiency. Furthermore, free software that we developed facilitates both high-throughput primer design and analysis of sequencing results. Overall, this protocol enabled us to efficiently produce several alanine-scanning libraries of 400 single-point mutations with complete coverage of the protein sequence.

Indexed as

Gibson assemblyHigh throughput mutagenesisScanning mutagenesisSite-directedTwo-fragment PCR

Identifiers

PMID33654716
PMCPMC7842796

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.