Definition and research guide
This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.
Content available: 4 complete abstracts (689 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.
Definition
The meaning ascribed to the base sequence with respect to how it is translated into amino acid sequence. The start, stop, and order of amino acids of a protein is specified by consecutive triplets of nucleotides called codons (codon).
Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.
Also known as: Code, Genetic; Codes, Genetic; Genetic Codes.
Where it fits in the MeSH classification
- Broader topics
- Genetic Structures
- Narrower topics
- Anticodon; Codon; Reading Frames
- See also
- Protein Biosynthesis; Histone Code
Related concepts
- Base Sequence
- Amino Acid Sequence
- Codon
Research landscape
PubMed indexes 73,934 records tagged with the MeSH heading “Genetic Code” (counts retrieved 2026-10-29). 8,416 of them (11.4%) were published from 2020 onward, and the busiest period so far is through 1999 with 25,302 records.
Reviews account for 3,917 records (5.3%) and meta-analyses for 148. Randomized controlled trials number 68 (0.1%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.
Show the data
| Period | Records |
|---|---|
| through 1999 | 25,302 |
| 2000-2009 | 20,461 |
| 2010-2019 | 19,755 |
| 2020 onward | 8,416 |
Publication-type chart data
| Type | Records | Share |
|---|---|---|
| Reviews | 3,917 | 5.3% |
| Meta-analyses | 148 | 0.2% |
| Randomized controlled trials | 68 | 0.1% |
Method: PubMed query "Genetic Code"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.
Reading the evidence in genetics and genomics
Genetic findings vary widely in strength. A variant linked to a condition in one study may not replicate in other ancestries, and most common variants have small effects that are meaningful only in aggregate. Studies of rare, high-impact variants can support strong causal claims about a gene, while association studies describe statistical links that need functional and independent replication. Check the sample size, the ancestry of participants, whether results were replicated, and whether a laboratory or clinical outcome was actually measured.
Evidence from open-access studies
These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.
| Study / authors | Year | Source label / design | Europe PMC citations | Licence / source |
|---|---|---|---|---|
| DNA-guided transcription factor interactions extend human gene regulatory code | 2025 | Research article Design not recorded in structured metadata | 62 | cc by PMID 40205063 · DOI · PMC12119339 |
| Genetic Code Expansion: Recent Developments and Emerging Applications | 2025 | Review article Design not recorded in structured metadata | 58 | cc by PMID 39737807 · DOI · PMC11758808 |
| Optimization of ACE-tRNAs function in translation for suppression of nonsense mutations | 2024 | Research article Design not recorded in structured metadata | 22 | cc by PMID 39673265 · DOI · PMC11662937 |
| GGC repeat expansions within new open reading frames are translated into toxic polyglycine proteins in oculopharyngodistal myopathy | 2026 | Research article Design not recorded in structured metadata | 9 | cc by PMID 41703050 · DOI · PMC12987736 |
DNA-guided transcription factor interactions extend human gene regulatory code [1]
Abstract reading summary — source excerpts
- Opening excerpt
- In the same way that the mRNA-binding specificities of transfer RNAs define the genetic code, the DNA-binding specificities of transcription factors (TFs) form the molecular basis of the gene regulatory code1,2.
- Closing excerpt
- Furthermore, TFs that define embryonic axes commonly interacted with different TFs and bound to distinct motifs, explaining how TFs with a similar specificity can define distinct cell types along developmental axes.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (236 words)
In the same way that the mRNA-binding specificities of transfer RNAs define the genetic code, the DNA-binding specificities of transcription factors (TFs) form the molecular basis of the gene regulatory code1,2. The human gene regulatory code is much more complex than the genetic code, in particular because there are more than 1,600 TFs that commonly interact with each other. TF-TF interactions are required for specifying cell fate and executing cell-type-specific transcriptional programs. Despite this, the landscape of interactions between DNA-bound TFs is poorly defined. Here we map the biochemical interactions between DNA-bound TFs using CAP-SELEX, a method that can simultaneously identify individual TF binding preferences, TF-TF interactions and the DNA sequences that are bound by the interacting complexes. A screen of more than 58,000 TF-TF pairs identified 2,198 interacting TF pairs, 1,329 of which preferentially bound to their motifs arranged in a distinct spacing and/or orientation. We also discovered 1,131 TF-TF composite motifs that were markedly different from the motifs of the individual TFs. In total, we estimate that the screen identified between 18% and 47% of all human TF-TF motifs. The novel composite motifs we found were enriched in cell-type-specific elements, active in vivo and more likely to be formed between developmentally co-expressed TFs. Furthermore, TFs that define embryonic axes commonly interacted with different TFs and bound to distinct motifs, explaining how TFs with a similar specificity can define distinct cell types along developmental axes.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 40205063 · DOI · PMC12119339
Genetic Code Expansion: Recent Developments and Emerging Applications [2]
Abstract reading summary — source excerpts
- Opening excerpt
- The concept of genetic code expansion (GCE) has revolutionized the field of chemical and synthetic biology, enabling the site-specific incorporation of noncanonical amino acids (ncAAs) into proteins, thus opening new avenues in research and applications across biology and medicine.
- Closing excerpt
- Through this comprehensive review, we aim to provide a detailed overview of the current state of GCE technology, its challenges, opportunities, and the frontier it represents in the expansion of the genetic code for novel biological research and therapeutic applications.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (177 words)
The concept of genetic code expansion (GCE) has revolutionized the field of chemical and synthetic biology, enabling the site-specific incorporation of noncanonical amino acids (ncAAs) into proteins, thus opening new avenues in research and applications across biology and medicine. In this review, we cover the principles of GCE, including the optimization of the aminoacyl-tRNA synthetase (aaRS)/tRNA system and the advancements in translation system engineering. Notable developments include the refinement of aaRS/tRNA pairs, enhancements in screening methods, and the biosynthesis of noncanonical amino acids. The applications of GCE technology span from synthetic biology, where it facilitates gene expression regulation and protein engineering, to medicine, with promising approaches in drug development, vaccine production, and gene editing. The review concludes with a perspective on the future of GCE, underscoring its potential to further expand the toolkit of biology and medicine. Through this comprehensive review, we aim to provide a detailed overview of the current state of GCE technology, its challenges, opportunities, and the frontier it represents in the expansion of the genetic code for novel biological research and therapeutic applications.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 39737807 · DOI · PMC11758808
Optimization of ACE-tRNAs function in translation for suppression of nonsense mutations [3]
Abstract reading summary — source excerpts
- Opening excerpt
- Nonsense suppressor transfer RNAs (tRNAs) or AntiCodon-Edited tRNAs (ACE-tRNAs) have long been envisioned as a therapeutic approach to overcome genetic diseases resulting from the introduction of premature termination codons (PTCs).
- Closing excerpt
- By optimizing PTC suppression efficiency of ACE-tRNAs, we have decreased the amount of ACE-tRNA required by ∼16-fold for the most common cystic fibrosis-causing PTCs.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (105 words)
Nonsense suppressor transfer RNAs (tRNAs) or AntiCodon-Edited tRNAs (ACE-tRNAs) have long been envisioned as a therapeutic approach to overcome genetic diseases resulting from the introduction of premature termination codons (PTCs). The ACE-tRNA approach for the rescue of PTCs has been hampered by ineffective delivery through available modalities for gene therapy. Here we have screened a series of ACE-tRNA expression cassette sequence libraries containing >1800 members in an effort to optimize ACE-tRNA function and provide a roadmap for optimization in the future. By optimizing PTC suppression efficiency of ACE-tRNAs, we have decreased the amount of ACE-tRNA required by ∼16-fold for the most common cystic fibrosis-causing PTCs.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 39673265 · DOI · PMC11662937
GGC repeat expansions within new open reading frames are translated into toxic polyglycine proteins in oculopharyngodistal myopathy [4]
Abstract reading summary — source excerpts
- Opening excerpt
- A total of 3-6% human genome is composed of microsatellite sequences, which are short DNA elements composed of two to six nucleotide motifs repeated in tandem.
- Closing excerpt
- Overall, this work highlights the complexity and richness of the human genome and the importance of mutations in yet-unrecognized small ORFs.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (171 words)
A total of 3-6% human genome is composed of microsatellite sequences, which are short DNA elements composed of two to six nucleotide motifs repeated in tandem. Expansion of a subset of these microsatellites is the leading cause of >60 diseases. However, most of these mutations are located in sequences annotated as noncoding, which raises questions about their pathogenicity. Here we found that GGC repeat expansions causing oculopharyngodistal myopathy with or without oculopharyngeal myopathy leukoencephalopathy are located within previously unrecognized open reading frames (ORFs), resulting in their translation into new polyglycine-containing proteins. Antibodies developed against these proteins stain the p62-positive inclusions typical of these diseases. Moreover, expression of these polyglycine proteins causes locomotor and skeletal muscle alterations associated with neurodegeneration in cell, fly and mouse models. Finally, we identified a compound, the cationic porphyrin TMPyP4, targeting the expression of these polyglycine proteins, raising hope to develop a therapy for these disorders. Overall, this work highlights the complexity and richness of the human genome and the importance of mutations in yet-unrecognized small ORFs.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41703050 · DOI · PMC12987736
Key reviews and meta-analyses
The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.
- Research article Nonsense-mediated mRNA decay: an intricate machinery that shapes transcriptomes [5]
- Research article Codon optimality, bias and usage in translation and mRNA decay [6]
- Research article Expanding and reprogramming the genetic code [7]
- Research article Reading m6A in the Transcriptome: m6A-Binding Proteins [8]
- Research article Transposable elements in cancer [9]
- Research article Mechanism and regulation of the nonsense-mediated decay pathway [10]
References
- Xie Z, Sokolov I, Osmala M, Yue X, Bower G, Pett JP, et al.. DNA-guided transcription factor interactions extend human gene regulatory code. . 2025. PMID 40205063 · DOI · PMC12119339
- Huang Y, Zhang P, Wang H, Chen Y, Liu T, Luo X. Genetic Code Expansion: Recent Developments and Emerging Applications. . 2025. PMID 39737807 · DOI · PMC11758808
- Porter JJ, Ko W, Sorensen EG, Lueck JD. Optimization of ACE-tRNAs function in translation for suppression of nonsense mutations. . 2024. PMID 39673265 · DOI · PMC11662937
- Boivin M, Yu J, Eura N, Schmitt L, Pietri D, Grandgirard E, et al.. GGC repeat expansions within new open reading frames are translated into toxic polyglycine proteins in oculopharyngodistal myopathy. . 2026. PMID 41703050 · DOI · PMC12987736
- Lykke-Andersen S, Jensen TH. Nonsense-mediated mRNA decay: an intricate machinery that shapes transcriptomes. Nat Rev Mol Cell Biol. 2015. PMID 26397022 · DOI
- Hanson G, Coller J. Codon optimality, bias and usage in translation and mRNA decay. Nat Rev Mol Cell Biol. 2018. PMID 29018283 · DOI · PMC6594389
- Chin JW. Expanding and reprogramming the genetic code. Nature. 2017. PMID 28980641 · DOI
- Patil DP, Pickering BF, Jaffrey SR. Reading m6A in the Transcriptome: m6A-Binding Proteins. Trends Cell Biol. 2018. PMID 29103884 · DOI · PMC5794650
- Burns KH. Transposable elements in cancer. Nat Rev Cancer. 2017. PMID 28642606 · DOI
- Hug N, Longman D, Cáceres JF. Mechanism and regulation of the nonsense-mediated decay pathway. Nucleic Acids Res. 2016. PMID 26773057 · DOI · PMC4770240
About this article
- Sources
- NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
- Verification
- Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
- Review state
- automated source verified; no human expert review has been recorded yet.
- Version
- 1, last updated 2026-10-29.
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Evidence strength
EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.