Omics · study · 2026
ac4C does not impair in vitro transcription with T7 polymerase
Listed in NCBI GEO
Synthetic mRNA therapeutics offer a versatile platform with promising applications in a range of diseases, including cancer and infectious diseases.
Description
These mRNAs are delivered to cells encapsulated in lipid nanoparticles (LNPs) and commonly incorporate modified ribonucleotides to improve their stability and translation while mitigating the immune response to foreign RNA1. N1-methylpseudouridine (m1Ψ) has become the industry standard for synthetic mRNAs due to its effectiveness in enhancing translation and reducing immunogenicity2.
However, recent studies have shown that m1Ψ can compromise translational fidelity, leading to errors such as ribosomal frameshifting3,4. Here, we reveal N4-acetylcytidine (ac4C) as a promising alternative to m1Ψ for use in therapeutic mRNAs. In comparing synthetic mRNA translation in cell lines, primary human monocyte-derived dendritic cells and murine liver, we found that while both ac4C and m1Ψ suppress the inflammatory response to synthetic mRNA, ac4C consistently results in higher protein yields.
Read the rest (1 more)
Using single-molecule imaging of translation, we observed that ribosome densities per RNA were similar between ac4C and m1Ψ, but translation elongation rate was nearly doubled in the presence of ac4C —providing a rationale for increased net translation. Importantly, a synthetic mRNA that caused ribosomal frameshifting in the presence of m1Ψ did not induce frameshifting with ac4C. These findings underscore the importance of context in designing therapeutic mRNAs and position translation elongation rate as a key determinant of the efficacy of modified ribonucleotides.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE301nnn/GSE301223 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE301223 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1284295 ncbi.nlm.nih.gov/bioproject/PRJNA1284295 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Biochemistry and cell biology 69% · Cancer 75% · Imaging 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE301223 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:3101 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:imaging | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |