Evidence map›Paper›PMID 37615546›Full record

ArticleNucleic acids research2023

Strategies to identify and edit improvements in synthetic genome segments episomally.

Alexandra Rudolph, Akos Nyerges, Anush Chiappino-Pepe, Matthieu Landon, Maximilien Baas-Thomas, George Church

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. The design and engineering of synthetic genomes.Nature reviews. Genetics · 2025
    Review
  2. 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

6 authors at 1 institution in 1 country.

Alexandra RudolphDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-4259-7816
Akos NyergesDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Anush Chiappino-PepeDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-3993-907X
Matthieu LandonDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Maximilien Baas-ThomasDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
George ChurchDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0003-3535-2076
Harvard University · US

Funding

The United States Department of Energy DE-FG02-02ER63445
6 · The paper itself

Abstract

Genome engineering projects often utilize bacterial artificial chromosomes (BACs) to carry multi-kilobase DNA segments at low copy number. However, all stages of whole-genome engineering have the potential to impose mutations on the synthetic genome that can reduce or eliminate the fitness of the final strain. Here, we describe improvements to a multiplex automated genome engineering (MAGE) protocol to improve recombineering frequency and multiplexability. This protocol was applied to recoding an Escherichia coli strain to replace seven codons with synonymous alternatives genome wide. Ten 44 402-47 179 bp de novo synthesized DNA segments contained in a BAC from the recoded strain were unable to complement deletion of the corresponding 33-61 wild-type genes using a single antibiotic resistance marker. Next-generation sequencing (NGS) was used to identify 1-7 non-recoding mutations in essential genes per segment, and MAGE in turn proved a useful strategy to repair these mutations on the recoded segment contained in the BAC when both the recoded and wild-type copies of the mutated genes had to exist by necessity during the repair process. Finally, two web-based tools were used to predict the impact of a subset of non-recoding missense mutations on strain fitness using protein structure and function calls.

Indexed as

Chromosomes, Artificial, BacterialGene EditingGenetic EngineeringGenome, BacterialPlasmidsEscherichia coliGenes, EssentialHigh-Throughput Nucleotide SequencingMutation

Identifiers

PMID37615546
PMCPMC10570025
OpenAlexW4386116000

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.