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1.
Genome Biol ; 25(1): 183, 2024 Jul 08.
Article in English | MEDLINE | ID: mdl-38978079

ABSTRACT

BACKGROUND: Recent 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. RESULTS: Our 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. CONCLUSIONS: Our 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.


Subject(s)
Gene Expression Regulation, Fungal , Open Reading Frames , Saccharomyces cerevisiae , Transcription, Genetic , Saccharomyces cerevisiae/genetics , Saccharomyces cerevisiae/metabolism , Evolution, Molecular , Protein Biosynthesis
2.
MicroPubl Biol ; 20232023.
Article in English | MEDLINE | ID: mdl-37927910

ABSTRACT

There are thousands of unannotated translated open reading frames (ORFs) in the Saccharomyces cerevisiae genome. Previous investigation into one such unannotated ORF, which was systemically labeled YGR016C-A based on its genomic coordinates, showed that replacing the ORF's ATG start codon with AAG led to a change in cellular fitness under different stress conditions (Wacholder et al., 2023). This suggested translation of YGR016C-A plays a role in cellular fitness. Here, we investigate Ygr016c-a's subcellular localization to gain insight into its cellular function. Computational prediction tools, co-expression analysis and fluorescence microscopy suggest that the Ygr016c-a protein localizes to the endoplasmic reticulum.

3.
Nat Ecol Evol ; 7(2): 180-181, 2023 02.
Article in English | MEDLINE | ID: mdl-36593290
4.
Int J Mol Sci ; 23(18)2022 Sep 19.
Article in English | MEDLINE | ID: mdl-36142875

ABSTRACT

High-risk human papillomaviruses (HPV) are important agents, responsible for a large percentage of the 745,000 cases of head and neck squamous cell carcinomas (HNSCC), which were identified worldwide in 2020. In addition to being virally induced, tobacco and heavy alcohol consumption are believed to cause DNA damage contributing to the high number of HNSCC cases. Gene expression and DNA methylation differ between HNSCC based on HPV status. We used publicly available gene expression and DNA methylation profiles from the Cancer Genome Atlas and compared HPV positive and HPV negative HNSCC groups. We used differential gene expression analysis, differential methylation analysis, and a combination of these two analyses to identify the differences. Differential expression analysis identified 1854 differentially expressed genes, including PCNA, TNFRSF14, TRAF1, TRAF2, BCL2, and BIRC3. SYCP2 was identified as one of the top deregulated genes in the differential methylation analysis and in the combined differential expression and methylation analyses. Additionally, pathway and ontology analyses identified the extracellular matrix and receptor interaction pathway as the most altered between HPV negative and HPV positive HNSCC groups. Combining gene expression and DNA methylation can help in elucidating the genes involved in HPV positive HNSCC tumorigenesis, such as SYCP2 and TAF7L.


Subject(s)
Alphapapillomavirus , Carcinoma, Squamous Cell , Head and Neck Neoplasms , Papillomavirus Infections , Alphapapillomavirus/genetics , Carcinoma, Squamous Cell/pathology , DNA Methylation , Gene Expression , Head and Neck Neoplasms/complications , Head and Neck Neoplasms/genetics , Humans , Papillomaviridae/genetics , Papillomaviridae/metabolism , Papillomavirus Infections/complications , Papillomavirus Infections/genetics , Papillomavirus Infections/pathology , Proliferating Cell Nuclear Antigen/metabolism , Proto-Oncogene Proteins c-bcl-2/metabolism , Squamous Cell Carcinoma of Head and Neck/complications , Squamous Cell Carcinoma of Head and Neck/genetics , TNF Receptor-Associated Factor 1/metabolism , TNF Receptor-Associated Factor 2/metabolism
5.
Sci Rep ; 12(1): 9288, 2022 06 03.
Article in English | MEDLINE | ID: mdl-35660762

ABSTRACT

Post-transcriptional regulatory mechanisms play a role in many biological contexts through the control of mRNA degradation, translation and localization. Here, we show that the RING finger protein RNF219 co-purifies with the CCR4-NOT complex, the major mRNA deadenylase in eukaryotes, which mediates translational repression in both a deadenylase activity-dependent and -independent manner. Strikingly, RNF219 both inhibits the deadenylase activity of CCR4-NOT and enhances its capacity to repress translation of a target mRNA. We propose that the interaction of RNF219 with the CCR4-NOT complex directs the translational repressive activity of CCR4-NOT to a deadenylation-independent mechanism.


Subject(s)
Protein Biosynthesis , Ribonucleases , Gene Expression Regulation , RNA Stability , RNA, Messenger/genetics , RNA, Messenger/metabolism , Ribonucleases/genetics , Ribonucleases/metabolism
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