ArticleGenome biology2024
Massively integrated coexpression analysis reveals transcriptional regulation, evolution and cellular implications of the yeast noncanonical translatome.
Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Emergence and Tandem Repeat-Mediated Elongation of a Translated De Novo Open Reading Frame in Human Oncogenic RNA Gene VPS9D1-AS1 (MYU).Genome biology and evolution · 2026Article
- De Novo Genes: Current Status and Future Goals.Genome biology and evolution · 2025Article
- YeastbioRxiv : the preprint server for biology · 2025Article
- Emergence of antiphage functions from random sequence libraries reveals mechanisms of gene birth.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Functional analysis and transcriptional profiling of non-coding RNAs in yeast.The Biochemical journal · 2025Review
- Comprehensive profiling of ribo-seq detected small sequences in yeast reveals robust conservation patterns and their potential mechanisms of origin.BMC genomics · 2025Article
- Gene regulatory networks and essential transcription factors for de novo-originated genes.Nature ecology & evolution · 2025Article
- GSNCASCR: An R Package to Identify Differentially Co-Expressed Curated Gene Sets with Single-Cell RNA-Seq Data.International journal of molecular sciences · 2025Article
- Massively integrated coexpression analysis reveals transcriptional regulation, evolution and cellular implications of the yeast noncanonical translatome.Genome biology · 2024Article
- Gene birth in a model of non-genic adaptation.BMC biology · 2023Article
- Unannotated Open Reading Frame inmicroPublication biology · 2023Article
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Authors and funding
3 authors.
Funding
Abstract
backgroundRecent studies uncovered pervasive transcription and translation of thousands of noncanonical open reading frames (nORFs) outside of annotated genes. The contribution of nORFs to cellular phenotypes is difficult to infer using conventional approaches because nORFs tend to be short, of recent de novo origins, and lowly expressed. Here we develop a dedicated coexpression analysis framework that accounts for low expression to investigate the transcriptional regulation, evolution, and potential cellular roles of nORFs in Saccharomyces cerevisiae.
resultsOur results reveal that nORFs tend to be preferentially coexpressed with genes involved in cellular transport or homeostasis but rarely with genes involved in RNA processing. Mechanistically, we discover that young de novo nORFs located downstream of conserved genes tend to leverage their neighbors' promoters through transcription readthrough, resulting in high coexpression and high expression levels. Transcriptional piggybacking also influences the coexpression profiles of young de novo nORFs located upstream of genes, but to a lesser extent and without detectable impact on expression levels. Transcriptional piggybacking influences, but does not determine, the transcription profiles of de novo nORFs emerging nearby genes. About 40% of nORFs are not strongly coexpressed with any gene but are transcriptionally regulated nonetheless and tend to form entirely new transcription modules. We offer a web browser interface ( https://carvunislab.csb.pitt.edu/shiny/coexpression/ ) to efficiently query, visualize, and download our coexpression inferences.
conclusionsOur results suggest that nORF transcription is highly regulated. Our coexpression dataset serves as an unprecedented resource for unraveling how nORFs integrate into cellular networks, contribute to cellular phenotypes, and evolve.
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