Evidence map›Paper›PMID 37932818›Full record

ArticleGenome biology2023

Quantification of evolved DNA-editing enzymes at scale with DEQSeq.

Lukas Theo Schmitt, Aksana Schneider, Jonas Posorski, Felix Lansing, Milica Jelicic, Manavi Jain, Shady Sayed, Frank Buchholz, Duran Sürün

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2023. 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
0.8field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Dynamics in Cre-loxP site-specific recombination.Current opinion in structural biology · 2024
    Review
  3. Article
  4. Article
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

9 authors at 2 institutions in 2 countries.

Lukas Theo SchmittMedical Faculty and University Hospital Carl Gustav Carus, UCC Section Medical Systems Biology, Dresden, TU Dresden, 01307, Germany.
Aksana SchneiderMedical Faculty and University Hospital Carl Gustav Carus, UCC Section Medical Systems Biology, Dresden, TU Dresden, 01307, Germany.
Jonas PosorskiMedical Faculty and University Hospital Carl Gustav Carus, UCC Section Medical Systems Biology, Dresden, TU Dresden, 01307, Germany.
Felix LansingMedical Faculty and University Hospital Carl Gustav Carus, UCC Section Medical Systems Biology, Dresden, TU Dresden, 01307, Germany.
Milica JelicicMedical Faculty and University Hospital Carl Gustav Carus, UCC Section Medical Systems Biology, Dresden, TU Dresden, 01307, Germany.
Manavi JainMedical Faculty and University Hospital Carl Gustav Carus, UCC Section Medical Systems Biology, Dresden, TU Dresden, 01307, Germany.
Shady SayedMedical Faculty and University Hospital Carl Gustav Carus, UCC Section Medical Systems Biology, Dresden, TU Dresden, 01307, Germany.
Frank BuchholzMedical Faculty and University Hospital Carl Gustav Carus, UCC Section Medical Systems Biology, Dresden, TU Dresden, 01307, Germany. frank.buchholz@tu-dresden.de.ORCID 0000-0002-4577-3344
Duran SürünMedical Faculty and University Hospital Carl Gustav Carus, UCC Section Medical Systems Biology, Dresden, TU Dresden, 01307, Germany. duran.sueruen@tu-dresden.de.
University Hospital Carl Gustav Carus · DESeat (Spain) · ES

Funding

European Research Council 742133
6 · The paper itself

Abstract

We introduce DEQSeq, a nanopore sequencing approach that rationalizes the selection of favorable genome editing enzymes from directed molecular evolution experiments. With the ability to capture full-length sequences, editing efficiencies, and specificities from thousands of evolved enzymes simultaneously, DEQSeq streamlines the process of identifying the most valuable variants for further study and application. We apply DEQSeq to evolved libraries of Cas12f-ABEs and designer-recombinases, identifying variants with improved properties for future applications. Our results demonstrate that DEQSeq is a powerful tool for accelerating enzyme discovery and advancing genome editing research.

Indexed as

Directed Molecular EvolutionRecombinasesCRISPR-Cas SystemsDNAGene EditingDNARecombinasesBase editingCas12fCre recombinaseCRISPRDeep sequencingDirected evolutionSite-specific recombination

Identifiers

PMID37932818
PMCPMC10626641
OpenAlexW4388413688

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.