Evidence map›Paper›PMID 41265448›Full record

ArticleCell genomics2026

Integrative profiling of condensation-prone RNAs during early development.

Tajda Klobučar, Jona Novljan, Ira A Iosub, Boštjan Kokot, Iztok Urbančič, D Marc Jones, Anob M Chakrabarti, Nicholas M Luscombe, Jernej Ule, Miha Modic

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PubMed Full text at PMC Publisher
In one paragraph

Article in Cell genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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  4. 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

10 authors.

Tajda KlobučarNational Institute of Chemistry, Ljubljana, Slovenia; The Francis Crick Institute, London, UK; PhD Program "Biosciences", Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia.
Jona NovljanNational Institute of Chemistry, Ljubljana, Slovenia; Department of Genomics and Developmental Biology, Zoological Institute, Karlsruhe Institute of Technology, Karlsruhe, Germany; Institute of Biological and Chemical Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany; Center for Synthetic Genomics (SynGen) Heidelberg-Karlsruhe-Mainz, Germany.
Ira A IosubThe Francis Crick Institute, London, UK; Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Dementia Research Institute at KCL, London, UK.
Boštjan KokotJ. Stefan Institute, Ljubljana, Slovenia.
Iztok UrbančičJ. Stefan Institute, Ljubljana, Slovenia.
D Marc JonesThe Francis Crick Institute, London, UK; Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Dementia Research Institute at KCL, London, UK.
Anob M ChakrabartiThe Francis Crick Institute, London, UK; University College London, UCL Respiratory, London, UK.
Nicholas M LuscombeThe Francis Crick Institute, London, UK; Okinawa Institute of Science and Technology, Okinawa, Japan.
Jernej UleNational Institute of Chemistry, Ljubljana, Slovenia; The Francis Crick Institute, London, UK; Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Dementia Research Institute at KCL, London, UK.
Miha ModicNational Institute of Chemistry, Ljubljana, Slovenia; The Francis Crick Institute, London, UK; Department of Genomics and Developmental Biology, Zoological Institute, Karlsruhe Institute of Technology, Karlsruhe, Germany; Institute of Biological and Chemical Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany; Center for Synthetic Genomics (SynGen) Heidelberg-Karlsruhe-Mainz, Germany; Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. Electronic address: miha.modic@kit.edu.

Funding

Wellcome Trust CC0102
6 · The paper itself

Abstract

Complex RNA-protein networks play a pivotal role in the formation of many types of biomolecular condensates. How RNA features contribute to condensate formation, however, remains incompletely understood. Here, we integrate tailored transcriptomics assays to identify a distinct class of developmental condensation-prone RNAs termed "smOOPs" (semi-extractable, orthogonal-organic-phase-separation-enriched RNAs). These transcripts localize to larger intracellular foci, form denser RNA subnetworks than expected, and are heavily bound by RNA-binding proteins (RBPs). Using an explainable deep learning framework, we reveal that smOOPs harbor characteristic sequence composition, with lower sequence complexity, increased intramolecular folding, and specific RBP-binding patterns. Intriguingly, these RNAs encode proteins bearing extensive intrinsically disordered regions and are highly predicted to be involved in biomolecular condensates, indicating an interplay between RNA- and protein-based features in phase separation. This work advances our understanding of condensation-prone RNAs and provides a versatile resource to further investigate RNA-driven condensation principles.

Indexed as

Biomolecular CondensatesRNARNA-Binding ProteinsAnimalsGene Expression ProfilingHumansProtein BindingTranscriptomeRNARNA-Binding Proteinscondensationcondensation-prone RNAsdeep learningOOPSphase separationRIC-seqRNA-protein networksRNA-RNA interactionssemi-extractability

Identifiers

PMID41265448
PMCPMC12903419

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LicenceCC BY
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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.