Evidence map›Paper›PMID 41665009›Full record

ArticleNucleic acids research2026

Distinct roles for SETα and SETβ in early cell fate decisions.

Patrick Siang Lin Lim, Eden Mishne, Malka Nissim-Rafinia, Eran Meshorer

Abstract read
In one paragraph

Article in Nucleic acids research, 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

4 authors.

Patrick Siang Lin LimDepartment of Genetics, The Institute of Life Sciences, Edmond J. Safra Campus, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.
Eden MishneDepartment of Genetics, The Institute of Life Sciences, Edmond J. Safra Campus, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.
Malka Nissim-RafiniaDepartment of Genetics, The Institute of Life Sciences, Edmond J. Safra Campus, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.
Eran MeshorerDepartment of Genetics, The Institute of Life Sciences, Edmond J. Safra Campus, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.ORCID 0000-0003-4777-986X

Funding

DKFZ 0005358EIC 101099654Marie Curie REP-PT-765966MOST
6 · The paper itself

Abstract

SET, the nuclear proto-oncogene, is primarily expressed as SETα in embryonic stem cells (ESCs). Upon pluripotency exit, a transcriptional switch driven by alternative promoters causes SETβ to largely replace SETα expression. Functional distinctions between the two isoforms have been difficult to ascertain, partly due to the redundancy between SETα and SETβ in their protein structure and activity. In this study, we use ESCs with inducible SET isoform-specific expression to investigate the differences between both SET isoforms. Time-course RNA-sequencing analyses in SET-knockout backgrounds as well as isoform-specific chromatin immunoprecipitation followed by sequencing experiments reveal regulatory functions for SETα and SETβ. Despite sharing many binding sites and binding partners, SETα has unique regulatory functions on its target genes, while SETβ downregulates FGF4. As KLF5 specifically regulates SETα, this implicates SET isoform switching at the KLF5/FGF signalling axis during primitive endoderm specification. Together, we propose a model of how distinct roles of SETα and SETβ may regulate cell identity in the early blastocyst.

Indexed as

Transcription FactorsAnimalsCell DifferentiationEmbryonic Stem CellsEndodermGene Expression Regulation, DevelopmentalMicePromoter Regions, GeneticProtein IsoformsProto-Oncogene MasSignal TransductionProtein IsoformsProto-Oncogene MasTranscription Factors

Identifiers

PMID41665009
PMCPMC12887537

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Registered trials

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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.