ReviewMolecular systems biology2013
Genome-scale engineering for systems and synthetic biology.
Review in Molecular systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.
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.
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.
Who cites it
123 citing papers in PubMed.
- Assessing off-target effects in CRISPR/Cas9: challenges and strategies for precision DNA editing.Archives of microbiology · 2026Review
- Assembly and delivery of large DNA via chromosome elimination in yeast.Nature protocols · 2025Review
- Recent advances in the Design-Build-Test-Learn (DBTL) cycle for systems metabolic engineering of Corynebacterium glutamicum.Journal of microbiology (Seoul, Korea) · 2025Review
- A rational multi-target combination strategy for synergistic improvement of non-ribosomal peptide production.Nature communications · 2025Article
- Modification and analysis of context-specific genome-scale metabolic models: methane-utilizing microbial chassis as a case study.mSystems · 2025Article
- Harnessing microbial heterogeneity for improved biosynthesis fueled by synthetic biology.Synthetic and systems biotechnology · 2025Review
- Enabling whole pathway reconstruction using artificial chromosomes.Cell research · 2024Article
- Design and assembly of the 117-kb Phaeodactylum tricornutum chloroplast genome.Plant physiology · 2024Article
- State-of the-Art Constraint-Based Modeling of Microbial Metabolism: From Basics to Context-Specific Models with a Focus on Methanotrophs.Microorganisms · 2023Review
- Fast and efficient template-mediated synthesis of genetic variants.Nature methods · 2023Article
- Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review.Briefings in bioinformatics · 2023Review
- Systematic discovery of recombinases for efficient integration of large DNA sequences into the human genome.Nature biotechnology · 2023Article
- Strategies and Methods for Improving the Efficiency of CRISPR/Cas9 Gene Editing in Plant Molecular Breeding.Plants (Basel, Switzerland) · 2023Review
- Application of Cloning-Free Genome Engineering toMicroorganisms · 2023Article
- Shoot-root signal circuit: Phytoremediation of heavy metal contaminated soil.Frontiers in plant science · 2023Review
- Reporting off-target effects of recombinant engineering using the pORTMAGE system.Journal of microbiological methods · 2023Article
- Genome Editing and Protein Energy Malnutrition.Advances in experimental medicine and biology · 2023Article
- Highlighting the potential ofFrontiers in microbiology · 2023Article
- Using phenotypic plasticity to understand the structure and evolution of the genotype-phenotype map.Genetica · 2022Review
- Strategies to improve homology-based repair outcomes following CRISPR-based gene editing in mosquitoes: lessons in how to keep any repair disruptions local.Virology journal · 2022Review
63 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Genome-modification technologies enable the rational engineering and perturbation of biological systems. Historically, these methods have been limited to gene insertions or mutations at random or at a few pre-defined locations across the genome. The handful of methods capable of targeted gene editing suffered from low efficiencies, significant labor costs, or both. Recent advances have dramatically expanded our ability to engineer cells in a directed and combinatorial manner. Here, we review current technologies and methodologies for genome-scale engineering, discuss the prospects for extending efficient genome modification to new hosts, and explore the implications of continued advances toward the development of flexibly programmable chasses, novel biochemistries, and safer organismal and ecological engineering.
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Identifiers
What OpenQuestion holds
Registered trials
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.