ArticleProceedings of the National Academy of Sciences of the United States of America2015
Head-to-head antisense transcription and R-loop formation promotes transcriptional activation.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers.
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Who cites it
154 citing papers in PubMed, 237 citations in OpenAlex.
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- Transcriptional interference revisited.Nature genetics · 2026Review
- R-loop landscapes in the developing human brain are linked to neural differentiation and cell type-specific transcription.Translational psychiatry · 2026Article
- Regulation of transcription by R loop-nucleated transcription condensate assembly.Cell & bioscience · 2026Review
- LncRNA PVT1 in human cancers: genomic complexity, isoforms, functional elements, mechanism of action, subcellular localization and possible role as a therapeutic target.Molecular cancer · 2026Review
- The long noncoding RNA VIM-AS1 and nucleoporin Nup358/RanBP2 regulate SMAD nuclear accumulation during TGF-β signaling.Nucleic acids research · 2026Article
- DNA polymerase I is an efficient reverse transcriptase that mediates RNA-templated DNA repair synthesis.bioRxiv : the preprint server for biology · 2025Article
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- RNASEH2C enhances TRAF3IP1 to degrade RAI14 in lysosomes thus hindering macrophage antigen presentation and advancing liver cancer.Cell death & disease · 2025Article
- Emerging roles of RNA:DNA hybrid regulation by mammalian ribonuclease H2 in replication stress and cancer.Journal of cell science · 2025Review
- Rewiring cancer epigenome: lncRNA as modulator of chromatin architecture and neoplastic transformation.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Review
- Dual roles of NScience China. Life sciences · 2025Article
- Atypical R-loops in cancer: decoding molecular chaos for therapeutic gain.Journal of translational medicine · 2025Review
- Update on R-loops in genomic integrity: Formation, functions, and implications for human diseases.Genes & diseases · 2025Review
- The relevance of RNA-DNA interactions as regulators of physiological functions.Pflugers Archiv : European journal of physiology · 2025Review
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- Biomolecules Interacting with Long Noncoding RNAs.Biology · 2025Review
- Mechanism of expression regulation of head-to-head overlapping protein-coding genes INO80E and HIRIP3.Communications biology · 2025Article
- Review
94 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
The mechanisms used by antisense transcripts to regulate their corresponding sense mRNAs are not fully understood. Herein, we have addressed this issue for the vimentin (VIM) gene, a member of the intermediate filament family involved in cell and tissue integrity that is deregulated in different types of cancer. VIM mRNA levels are positively correlated with the expression of a previously uncharacterized head-to-head antisense transcript, both transcripts being silenced in colon primary tumors concomitant with promoter hypermethylation. Furthermore, antisense transcription promotes formation of an R-loop structure that can be disfavored in vitro and in vivo by ribonuclease H1 overexpression, resulting in VIM down-regulation. Antisense knockdown and R-loop destabilization both result in chromatin compaction around the VIM promoter and a reduction in the binding of transcriptional activators of the NF-κB pathway. These results are the first examples to our knowledge of R-loop-mediated enhancement of gene expression involving head-to-head antisense transcription at a cancer-related locus.
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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 OpenQuestion graph.