ArticleNature communications2024
How antisense transcripts can evolve to encode novel proteins.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed.
- Emergence and evolution of protein-coding de novo genes.Nature reviews. Genetics · 2026Review
- Impact of GC content on de novo gene birth.Nature communications · 2026Article
- De Novo Gene Emergence: Summary, Classification, and Challenges of Current Methods.Genome biology and evolution · 2025Review
- Design of overlapping genes using deep generative models of protein sequences.bioRxiv : the preprint server for biology · 2025Article
- The hidden bacterial microproteome.Molecular cell · 2025Article
- The RNA Revolution in the Central Molecular Biology Dogma Evolution.International journal of molecular sciences · 2024Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Protein coding features can emerge de novo in non coding transcripts, resulting in emergence of new protein coding genes. Studies across many species show that a large fraction of evolutionarily novel non-coding RNAs have an antisense overlap with protein coding genes. The open reading frames (ORFs) in these antisense RNAs could also overlap with existing ORFs. In this study, we investigate how the evolution an ORF could be constrained by its overlap with an existing ORF in three different reading frames. Using a combination of mathematical modeling and genome/transcriptome data analysis in two different model organisms, we show that antisense overlap can increase the likelihood of ORF emergence and reduce the likelihood of ORF loss, especially in one of the three reading frames. In addition to rationalising the repeatedly reported prevalence of de novo emerged genes in antisense transcripts, our work also provides a generic modeling and an analytical framework that can be used to understand evolution of antisense genes.
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What Socratic 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 Socratic graph.