Evidence map›Paper›PMID 41174250›Full record

ArticleThe EMBO journal2025

Non-cell-autonomous control of mouse gastruloid development by the ultra-conserved lncRNA T-UCstem1.

Arianna Coppola, Filomena Amoroso, Federica Saracino, Gennaro Andolfi, Edoardo Sozzi, Paolo Salerno, Pietro Zoppoli, Alessandro Fiorenzano, Giuseppe Merla, Eduardo Jorge Patriarca and 2 more

Abstract read
In one paragraph

Article in The EMBO journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Elucidating Gene Functions in Congenital Heart Disease.Current treatment options in cardiovascular medicine · 2026
    Review
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.

Arianna CoppolaStem Cell Fate Laboratory, Institute of Genetics and Biophysics "A. Buzzati-Traverso", CNR, Naples, Italy.
Filomena AmorosoStem Cell Fate Laboratory, Institute of Genetics and Biophysics "A. Buzzati-Traverso", CNR, Naples, Italy.
Federica SaracinoStem Cell Fate Laboratory, Institute of Genetics and Biophysics "A. Buzzati-Traverso", CNR, Naples, Italy.ORCID http://orcid.org/0000-0002-4800-8090
Gennaro AndolfiStem Cell Fate Laboratory, Institute of Genetics and Biophysics "A. Buzzati-Traverso", CNR, Naples, Italy.
Edoardo SozziDevelopmental and Regenerative Neurobiology, Lund Stem Cell Center, Department of Experimental Medical Science, Faculty of Medicine, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0002-6303-1969
Paolo SalernoDepartment of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy.
Pietro ZoppoliDepartment of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy.
Alessandro FiorenzanoStem Cell Fate Laboratory, Institute of Genetics and Biophysics "A. Buzzati-Traverso", CNR, Naples, Italy.ORCID http://orcid.org/0000-0003-2478-5941
Giuseppe MerlaDepartment of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy.ORCID http://orcid.org/0000-0001-5078-928X
Eduardo Jorge PatriarcaStem Cell Fate Laboratory, Institute of Genetics and Biophysics "A. Buzzati-Traverso", CNR, Naples, Italy.
Gabriella MinchiottiStem Cell Fate Laboratory, Institute of Genetics and Biophysics "A. Buzzati-Traverso", CNR, Naples, Italy. gabriella.minchiotti@igb.cnr.it.ORCID http://orcid.org/0000-0003-0225-9043
Annalisa FicoStem Cell Fate Laboratory, Institute of Genetics and Biophysics "A. Buzzati-Traverso", CNR, Naples, Italy. annalisa.fico@igb.cnr.it.ORCID http://orcid.org/0000-0003-2374-585X

Funding

Consiglio Nazionale delle Ricerche (CNR) DBA.AD005.225Consiglio Nazionale delle Ricerche (CNR) FOE-2022Italian Ministry of University and Research (M.U.R) Project P20224ZY5PItalian Ministry of University and Research (M.U.R) Project P2022LTFLRMNESYS PE0000006Next Generation EU Ministry of Health National Recovery and Resilience Plan (PNRR), Project PNRR-MCNT2-2023-12377937Swedish Research Council 2022-01432
6 · The paper itself

Abstract

The role of long non-coding RNAs (lncRNAs) in early mammalian embryogenesis remains unclear due to the complexity of the regulatory mechanisms involving lncRNAs and the limited availability of embryo samples. Stem cell-based models, such as mouse gastruloids, provide new ways to address these challenges. Here, we investigate the function of ultra-conserved lncRNA T-UCstem1 in mammalian body plan formation. Combining morphological and immunofluorescence imaging analyses with bulk and single-cell transcriptomics, we provide evidence indicating that T-UCstem1 is important for mouse gastruloid development and anteroposterior axis extension. T-UCstem1 depletion in gastruloids results in their aberrant development, with defects in the expression of differentiation markers and persistence of pluripotency gene expression. Our single-cell analyses reveal higher levels of cellular heterogeneity in T-UCstem1-knockdown gastruloids. The presence of cell populations co-expressing pluripotency and differentiation markers points to an important role of T-UCstem1 in the establishment and maintenance of cell identity. Mechanistically, we show that T-UCstem1 acts in a non-cell-autonomous manner through regulation of the Dickkopf-related protein 1 (DKK1)-dependent WNT pathway. Our study identifies a new role for an ultra-conserved lncRNA in gastruloid development and highlights gastruloids as a model system for studying lncRNAs in early development.

Indexed as

Embryonic DevelopmentGastrulaGene Expression Regulation, DevelopmentalRNA, Long NoncodingAnimalsCell DifferentiationMiceRNA, Long NoncodingDKK1GastruloidsNoncoding RNAsT-UCstem1WNT Pathway

Identifiers

PMID41174250
PMCPMC12706062

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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.