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Record W4414313132 · doi:10.1172/jci182100

PTBP1 variants displaying altered nucleocytoplasmic distribution are responsible for a neurodevelopmental disorder with skeletal dysplasia

2025· article· en· W4414313132 on OpenAlexaff
Aymeric Masson, Julien Paccaud, Martina Orefice, Estelle Colin, Outi Mäkitie, Valérie Cormier‐Daire, Raissa Relator, Sourav Ghosh, Jean‐Marc Strub, Christine Schaeffer‐Reiss, Carlo Marcelis, David A. Koolen, Rolph Pfundt, Elke de Boer, Lisenka E.L.M. Vissers, Thatjana Gardeitchik, Lonneke A. M. Aarts, Tuula Rinne, Paulien A. Terhal, Nienke E. Verbeek, Linda Zuurbier, Astrid S. Plomp, Marja W. Wessels, de Man, Arjan Bouman, Lynne M. Bird, Reem Saadeh‐Haddad, María J. Guillen Sacoto, Richard Person, Catherine Gooch, Anna Hurst, Michelle L. Thompson, Susan M. Hiatt, Rebecca O. Littlejohn, Elizabeth Roeder, Mari Mori, Jesse M. Hunter, Kristy Lee, Khaled Osman, Rana Halloun, Ruxandra Bachmann‐Gagescu, Anita Rauch, Dagmar Wieczorek, Konrad Platzer, Johannes Luppe, Laurence Duplomb, Fatima El It, Yannis Duffourd, Frédéric Tran Mau‐Them, Céline Huber, Christopher T. Gordon, Fulya Taylan, Riikka E. Mäkitie, Alice Costantini, Helena Valta, Stephen P. Robertson, Gemma Poke, Françoise Michel, Andrea Ciolfi, Marco Tartaglia, Nina Ekhilevitch, Rinat Zaid, Michael A. Levy, Jennifer Kerkhof, Haley McConkey, Julian Delanne, Martin Chevarin, Valentin Vautrot, Valentin Bourgeois, Sylvie Nguyen, Nathalie Marle, Patrick Callier, Hana Safraou, Angela Morgan, David J. Amor, Michael S. Hildebrand, David Coman, Marion Aubert‐Mucca, Julien Thevenon, Fanny Laffargue, Frédéric Bilan, Céline Pebrel‐Richard, Grace Yoon, Michelle M. Axford, Luis A. Pérez‐Jurado, Marta Sevilla-Porras, Douglas Black, Christophe Philippe, Bekim Sadiković, Christel Thauvin‐Robinet, Laurence Olivier-Faivre, Michela Ori, Quentin Thomas, Antonio Vitobello

Bibliographic record

VenueJournal of Clinical Investigation · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective tissue disorders research
Canadian institutionsHospital for Sick ChildrenInstitute of GeneticsWestern UniversityUniversity of TorontoLondon Health Sciences Centre
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentMinistero della SaluteAgence Nationale de la RechercheEuropean Commission
KeywordsMissense mutationRNA splicingRibonucleoproteinRNA-binding proteinCell nucleusRNATranscriptomeExonHeterogeneous nuclear ribonucleoproteinGermline

Abstract

fetched live from OpenAlex

Polypyrimidine tract-binding protein 1 (PTBP1) is a heterogeneous nuclear ribonucleoprotein primarily known for its alternative splicing activity. It shuttles between the nucleus and cytoplasm via partially overlapping N-terminal nuclear localization (NLS) and export (NES) signals. Despite its fundamental role in cell growth and differentiation, its involvement in human disease remains poorly understood. We identified 27 individuals from 25 families harboring de novo or inherited pathogenic variants - predominantly start-loss (89%) and, to a lesser extent, missense (11%) - affecting NES/NLS motifs. Affected individuals presented with a syndromic neurodevelopmental disorder and variable skeletal dysplasia with disproportionate short stature with short limbs. Intellectual functioning ranged from normal to moderately delayed. Start-loss variants led to translation initiation from an alternative downstream in-frame methionine, resulting in loss of the NES and the first half of the bipartite NLS, and increased cytoplasmic stability. Start-loss and missense variants shared a DNA methylation episignature in peripheral blood and altered nucleocytoplasmic distribution in vitro and in vivo with preferential accumulation in processing bodies, causing aberrant gene expression but normal RNA splicing. Transcriptomic analysis of patient-derived fibroblasts revealed dysregulated pathways involved in osteochondrogenesis and neurodevelopment. Overall, our findings highlight a cytoplasmic role for PTBP1 in RNA stability and disease pathogenesis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.449

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.375
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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