Evidence map›Paper›PMID 41962124›Full record

ReviewTranscription2026

The Goldilocks state of transcriptional readthrough for chimeric splicing.

Guillaume F Chanfreau

Abstract readReview
In one paragraph

Review in Transcription, 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

1 author.

Guillaume F ChanfreauDepartment of Chemistry and Biochemistry and the Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-2505-1950

Funding

The Control of Gene Expression by Eukaryotic RibonucleasesR35GM130370 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Guillaume F Chanfreau · 2019 to 2026
$3.3M
NIGMS NIH HHS R35 GM130370
6 · The paper itself

Abstract

Proper transcription termination coupled to pre-mRNA cleavage and polyadenylation is an important step in gene expression as it generates the 3'UTR of mRNAs and defines transcription units. Defective termination (transcriptional readthrough) can suppress transcription of downstream genes by transcriptional interference but can also promote the production of chimeric transcripts, which contain the exons of upstream genes spliced to exons of downstream genes. This review will summarize current findings of chimeric splicing between exons of adjacent genes generated by transcriptional readthrough and the conditions that promote these events. Chimeric splicing can be facilitated by inactivation of factors that promote transcription termination or of specific splicing factors, particularly those involved in 3'-splice site recognition. This effect is due to the tight coupling between recognition of the terminal intron 3'-splice site and of the downstream polyadenylation sites, and its impact on transcriptional termination. Production of chimeric transcripts is also increased in cellular conditions that perturb transcription termination, such as cellular stress, treatment with the chemotherapeutic agent Imatinib or viral infections. However, not all conditions that promote transcriptional readthrough result in chimeric splicing, suggesting that the production of chimeric mRNAs requires a "Goldilocks" state of alteration of the transcriptional machinery that allows for transcriptional readthrough without a general reduction of splicing efficiency.

Indexed as

RNA SplicingTranscription, GeneticTranscription Termination, GeneticAnimalsExonsHumansRNA, MessengerRNA, Messengerchimeric splicingSF3B1transcriptional readthroughTranscription terminationU2AF

Identifiers

PMID41962124
PMCPMC13501980

What OpenQuestion 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 OpenQuestion graph.