Evidence map›Paper›PMID 40965441›Full record

ArticleRNA biology2025

E2-regulated transcriptome complexity revealed by long-read direct RNA sequencing: from isoform discovery to truncated proteins.

Didem Naz Dioken, Ibrahim Ozgul, Irem Yilmazbilek, Elanur Almeric, Irem Cemile Eroglu, Mustafa Cicek, Utku Cem Yilmaz, Deniz Karagozoglu, Esra Cicek, Ezgi Karaca and 2 more

Abstract read
In one paragraph

Article in RNA biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Long-Read Sequencing Reveals RNA Splicing Complexity in Human Diseases.Computational and structural biotechnology journal · 2026
    Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Didem Naz DiokenDepartment of Biological Sciences, Middle East Technical University (METU), Ankara, Türkiye.ORCID 0000-0001-8285-8147
Ibrahim OzgulDepartment of Biological Sciences, Middle East Technical University (METU), Ankara, Türkiye.ORCID 0000-0001-7016-3188
Irem YilmazbilekDepartment of Biological Sciences, Middle East Technical University (METU), Ankara, Türkiye.ORCID 0009-0002-6715-6192
Elanur AlmericDepartment of Biological Sciences, Middle East Technical University (METU), Ankara, Türkiye.ORCID 0009-0009-5945-3745
Irem Cemile ErogluDepartment of Biological Sciences, Middle East Technical University (METU), Ankara, Türkiye.ORCID 0000-0001-7908-0186
Mustafa CicekDepartment of Biological Sciences, Middle East Technical University (METU), Ankara, Türkiye.ORCID 0000-0002-7109-6500
Utku Cem YilmazDepartment of Biological Sciences, Middle East Technical University (METU), Ankara, Türkiye.ORCID 0000-0001-6846-2795
Deniz KaragozogluDepartment of Biological Sciences, Middle East Technical University (METU), Ankara, Türkiye.ORCID 0009-0005-5838-1824
Esra CicekDepartment of Biological Sciences, Middle East Technical University (METU), Ankara, Türkiye.ORCID 0000-0002-7364-4435
Ezgi KaracaIzmir Biomedicine and Genome Center, Dokuz Eylul University Health Campus, Izmir, Türkiye.ORCID 0000-0002-4926-7991
Tolga CanDepartment of Computer Science, Colorado School of Mines, Golden, CO, USA.ORCID 0000-0002-5532-0154
Ayse Elif Erson-BensanDepartment of Biological Sciences, Middle East Technical University (METU), Ankara, Türkiye.ORCID 0000-0001-7398-9313

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oestrogen receptor alpha (ERα)-positive (ER+) breast cancers are driven by the binding of 17β-oestradiol (E2) to ERα, which transcriptionally regulates target genes. Although microarrays and conventional RNA sequencing have identified E2 target genes, pre-designed probes and short read lengths are limited in their ability to accurately capture complex transcript structures. Long-read 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 modelling to explore the landscape of the 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, which assists ERα-chromatin interactions for a subset of E2 targets. The IPA isoform produces a C-terminus truncated protein that lacks the WDR interaction domain but retains dimerization/tetramerization capacity through its intact N-terminal Q-domain. Structural modelling and protein-based assays confirmed the dimerization potential and nuclear localization of the truncated protein. Functional assays showed that the overexpression of truncated TLE1 reduced the E2-induced upregulation of

Indexed as

Breast NeoplasmsEstradiolTranscriptomeCell Line, TumorEstrogen Receptor alphaFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansProtein IsoformsRNA, MessengerSequence Analysis, RNAESR1 protein, humanEstradiolEstrogen Receptor alphaProtein IsoformsRNA, MessengerAlphaFold2Breast cancerE2GREB1intronic polyadenylationIPALong-read direct RNA sequencingTLE1truncated protein

Identifiers

PMID40965441
PMCPMC12456218

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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.