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E2-Regulated Transcriptome Complexity Revealed by Long-Read Direct RNA Sequencing: From Isoform Discovery to Truncated Proteins
Open accessPreprint — published as 10.1080/15476286.2025.2563860
Abstract
Estrogen receptor alpha (ERα)-positive (ER+) breast cancers are driven by 17β-estradiol (E2) binding to ERα, which transcriptionally regulates downstream target genes. Although microarrays and conventional RNA sequencing have identified E2 target genes, pre-designed probes and short read lengths are limited in accurately capturing complex transcript structures. Long-read RNA sequencing offers a solution by spanning entire transcripts, providing a more complete view of the transcriptome. Here, we employed nanopore long-read direct RNA sequencing (DRS) complemented with 3’-end sequencing, in vitro experiments, and deep learning-based protein modeling to explore the intricate landscape of E2-responsive transcriptome and protein level implications. Our analysis revealed a range of E2-responsive non-coding and coding isoforms, including intronically polyadenylated (IPA) mRNAs. One of these IPA isoforms was detected for TLE1 (Transducin-like enhancer protein 1), which positively assists ERα-chromatin interactions for a subset of E2 target genes. The IPA isoform produces a C-terminus truncated protein, lacking the WDR interaction domain, but retains dimerization/tetramerization capacity through its intact N-terminus Q-domain. Structural modeling and protein-based assays confirmed the truncated protein’s dimerization potential and nuclear localization. Functional assays showed that overexpression of truncated TLE1 reduces the E2-induced upregulation of GREB1 , an E2-responsive gene, thereby disrupting transcriptional regulation. Importantly, a lower IPA isoform ratio is associated with worse survival in ER+ patients, highlighting clinical relevance. Our study uncovers new layers of complexity in the E2-regulated transcriptome, providing insights into truncated proteins. These findings contribute to a deeper understanding of gene regulation and may help the development of new therapeutic strategies.
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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
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Metadata
- Authors
- Dioken, D. N., Ozgul, I., Yilmazbilek, I., Almeric, E., Eroglu, I. C., Cicek, M., Yilmaz, U. C., Karagozoglu, D., Cicek, E., Karaca, E., Can, T., & Erson-Bensan, A. E.
- Affiliations
- Middle East Technical University (TR)
- Dokuz Eylül University (TR)
- Colorado School of Mines (US)
- ORCID
- Venue
- RNA Biology
- Publisher
- openRxiv
- Published
- 2025-08-02
- Volume
- 22
- Issue
- 1
- Pages
- 1-21
- ISSN
- 1547-6286 (ISSN-L)
- PMC
- PMC12456218
- OpenAlex
- W4414326541
- Cited by
- 5
- References
- 1
- Citations by year
- 2026: 4 · 2025: 1
- FWCI
- 1.50
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- RNA Biology (publishedVersion, cc-by-nc)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- OpenMETU (Middle East Technical University) (submittedVersion, cc-by-nc-nd)
- Funders
- TUBITAK (120Z464)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Endocrinology › Estrogen and related hormone effects
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Keywords
- estrogen receptor alpha, estradiol, estrogen receptor-positive breast cancer, alternative splicing, TLE1, truncated protein, protein dimerization, TFF1, GREB1, nanopore sequencing, 3' end sequencing, patient survival
- MeSH terms
- Breast Neoplasms, Estradiol, Female, Humans, RNA, Messenger, Gene Expression Regulation, Neoplastic, Sequence Analysis, RNA, Protein Isoforms, Gene Expression Profiling, Cell Line, Tumor, Estrogen Receptor alpha, Transcriptome
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