Evidence map›Paper›PMID 31745561›Full record

ArticleNucleic acids research2020

Targeted insertional mutagenesis libraries for deep domain insertion profiling.

Willow Coyote-Maestas, David Nedrud, Steffan Okorafor, Yungui He, Daniel Schmidt

Erratum issuedAbstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
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  4. Deep mutational scan of the pore of the cold-sensing TRPM8 channel.bioRxiv : the preprint server for biology · 2026
    Article
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  15. Dissecting the Determinants of Domain Insertion Tolerance and Allostery in Proteins.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  16. Article
  17. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Willow Coyote-MaestasDept. of Biochemistry, Molecular Biology & Biophysics, University of Minnesota, Minneapolis, MN 55455, USA.
David NedrudDept. of Biochemistry, Molecular Biology & Biophysics, University of Minnesota, Minneapolis, MN 55455, USA.
Steffan OkoraforDept. of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA.
Yungui HeDept. of Genetics, Cell Biology & Development, University of Minnesota, Minneapolis, MN 55455, USA.
Daniel SchmidtDept. of Genetics, Cell Biology & Development, University of Minnesota, Minneapolis, MN 55455, USA.

Funding

Resource for Biocomputing Visualization and InformaticsP41GM103311 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2012 to 2017
$8.2M
Engineered viral tropism for cell-type specific manipulation of neuronal circuitsU01MH109038 · NIMH · UNIVERSITY OF MINNESOTA · PI SCHMIDT, DANIEL, THOMAS, MARK JOHN · 2015 to 2017
$1.1M
NIGMS NIH HHS P41 GM103311NIMH NIH HHS U01 MH109038
6 · The paper itself

Abstract

Domain recombination is a key principle in protein evolution and protein engineering, but inserting a donor domain into every position of a target protein is not easily experimentally accessible. Most contemporary domain insertion profiling approaches rely on DNA transposons, which are constrained by sequence bias. Here, we establish Saturated Programmable Insertion Engineering (SPINE), an unbiased, comprehensive, and targeted domain insertion library generation technique using oligo library synthesis and multi-step Golden Gate cloning. Through benchmarking to MuA transposon-mediated library generation on four ion channel genes, we demonstrate that SPINE-generated libraries are enriched for in-frame insertions, have drastically reduced sequence bias as well as near-complete and highly-redundant coverage. Unlike transposon-mediated domain insertion that was severely biased and sparse for some genes, SPINE generated high-quality libraries for all genes tested. Using the Inward Rectifier K+ channel Kir2.1, we validate the practical utility of SPINE by constructing and comparing domain insertion permissibility maps. SPINE is the first technology to enable saturated domain insertion profiling. SPINE could help explore the relationship between domain insertions and protein function, and how this relationship is shaped by evolutionary forces and can be engineered for biomedical applications.

Indexed as

Evolution, MolecularDNA Transposable ElementsGene LibraryHumansMutagenesis, InsertionalOligonucleotidesPotassium Channels, Inwardly RectifyingProtein DomainsProtein EngineeringRecombination, GeneticDNA Transposable ElementsKir2.1 channelOligonucleotidesPotassium Channels, Inwardly Rectifying

Identifiers

PMID31745561
PMCPMC6954442

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.