Evidence map›Paper›PMID 36192484›Full record

ArticleNature communications2022

Systematic dissection of key factors governing recombination outcomes by GCE-SCRaMbLE.

Huiming Zhang, Xian Fu, Xuemei Gong, Yun Wang, Haolin Zhang, Yu Zhao, Yue Shen

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Golden Gate Cloning for Efficient Biosynthesis of Lycopene in Synthetic Yeast.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  7. Article
  8. Recent advances in the expanding genetic code.Current opinion in chemical biology · 2024
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Practical Approaches for the YeastInternational journal of molecular sciences · 2023
    Review
  18. Article
  19. Investigation of Genome Biology by Synthetic Genome Engineering.Bioengineering (Basel, Switzerland) · 2023
    Review
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

7 authors.

Huiming Zhang *College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Xian Fu *BGI Research-Shenzhen, BGI, Shenzhen, 518083, China. fuxian1@genomics.cn.ORCID 0000-0001-9044-8850
Xuemei GongCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Yun WangBGI Research-Shenzhen, BGI, Shenzhen, 518083, China.
Haolin ZhangBGI Research-Shenzhen, BGI, Shenzhen, 518083, China.ORCID 0000-0002-6470-4272
Yu ZhaoInstitute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, 10016, USA.ORCID 0000-0003-4659-9832
Yue ShenBGI Research-Shenzhen, BGI, Shenzhen, 518083, China. shenyue@genomics.cn.ORCID 0000-0002-3276-7295

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the completion of Sc2.0 chromosomes, synthetic chromosome rearrangement and modification by loxP-mediated evolution (SCRaMbLE) becomes more critical for in-depth investigation of fundamental biological questions and screening of industrially valuable characteristics. Further applications, however, are hindered due to the lack of facile and tight regulation of the SCRaMbLE process, and limited understanding of key factors that may affect the rearrangement outcomes. Here we propose an approach to precisely regulate SCRaMbLE recombination in a dose-dependent manner using genetic code expansion (GCE) technology with low basal activity. By systematically analyzing 1380 derived strains and six yeast pools subjected to GCE-SCRaMbLE, we find that Cre enzyme abundance, genome ploidy and chromosome conformation play key roles in recombination frequencies and determine the SCRaMbLE outcomes. With these insights, the GCE-SCRaMbLE system will serve as a powerful tool in the future exploitation and optimization of the Sc2.0-related technologies.

Indexed as

Genome, FungalSaccharomyces cerevisiaeGene RearrangementGenetic CodeIntegrasesRecombination, GeneticIntegrases

Identifiers

PMID36192484
PMCPMC9530153

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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.