Evidence map›Paper›PMID 42680754›Full record

ArticleNature communications2026

Promoter identity shapes splicing outcomes and fidelity.

Shaked Shanas, Anton M Schwartz, Noa Nesher, Avital Melnik, Martin Mikl

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Shaked ShanasDepartment of Human Biology, School of Life Sciences, Faculty of Natural Sciences, University of Haifa, Haifa, Israel.
Anton M SchwartzDepartment of Human Biology, School of Life Sciences, Faculty of Natural Sciences, University of Haifa, Haifa, Israel.
Noa NesherDepartment of Human Biology, School of Life Sciences, Faculty of Natural Sciences, University of Haifa, Haifa, Israel.
Avital MelnikDepartment of Human Biology, School of Life Sciences, Faculty of Natural Sciences, University of Haifa, Haifa, Israel.
Martin MiklDepartment of Human Biology, School of Life Sciences, Faculty of Natural Sciences, University of Haifa, Haifa, Israel. mmikl@univ.haifa.ac.il.ORCID 0000-0001-8913-7158

Funding

Israel Science Foundation (ISF) 2219/22United States-Israel Binational Science Foundation (BSF) 2023233
6 · The paper itself

Abstract

Gene expression is a complex process subject to regulation at multiple functionally interconnected levels. One prominent example is the crosstalk between transcription and splicing regulation. Past work has shown that transcription can influence splicing in multiple ways, but a systematic investigation of this complex interplay is lacking. Here we employ massively parallel reporter assays of large combinatorial promoter-splice site libraries to dissect how promoter identity and transcription dynamics affect alternative splicing in human cells. We find that promoter identity, rather than expression level, exerts strong and highly context-specific effects on cassette exon inclusion, exceeding the effect of pharmacological inhibitors of transcription initiation or elongation. Groups of exons display coordinated promoter-dependent splicing behavior, and we identified predictive sequence and structural features underlying this sensitivity. Promoter and gene architecture also shape isoform diversity by modulating cryptic splice site usage. These findings present promoters as central regulators of splicing outcomes and fidelity.

Indexed as

Alternative SplicingPromoter Regions, GeneticRNA SplicingExonsHumansRNA Splice SitesTranscription, GeneticRNA Splice Sites

Identifiers

PMID42680754
PMCPMC13534650

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.