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Record W4367059606 · doi:10.1126/sciadv.ade0631

Abrogation of MAP4K4 protein function causes congenital anomalies in humans and zebrafish

2023· article· en· W4367059606 on OpenAlexaff
Victoria L. Patterson, Farid Ullah, Laura Bryant, Dong Li, John N. Griffin, Alpa Sidhu, Sheila Saliganan, Mackenzie Blaile, Margarita Sáenz, Rosemarie Smith, Sara Ellingwood, Dorothy K. Grange, Xuyun Hu, Yanfei Luo, Yiping Shen, Maureen Mulhern, Elaine Zackai, Alyssa Ritter, Kosuke Izumi, Julia Hoefele, Matias Wagner, Korbinian M. Riedhammer, Barbara Seitz, Nathaniel H. Robin, Dana Goodloe, Cyril Mignot, Boris Keren, Helen Cox, Joanna Jarvis, Maja Hempel, Cynthia Forster Gibson, Frédéric Tran Mau‐Them, Antonio Vitobello, Ange-Line Bruel, Arthur Sorlin, Sarju Mehta, F. Lucy Raymond, Kelly L. Gilmore, Bradford C. Powell, Karen E. Weck, Chumei Li, Anneke T. Vulto-van Silfhout, Thea Giacomini, Maria Margherita Mancardi, Andrea Accogli, Vincenzo Salpietro, Federico Zara, Neeta L. Vora, Erica E. Davis, Rebecca D. Burdine, Elizabeth Bhoj

Bibliographic record

VenueScience Advances · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMelanoma and MAPK Pathways
Canadian institutionsMcGill UniversityMcGill University Health CentreMcMaster UniversityTrillium Health Centre
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Child Health and Human DevelopmentNational Institute of Mental HealthNational Institute of General Medical SciencesNational Center for Advancing Translational SciencesNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Human Genome Research Institute
KeywordsZebrafishBiologyKinaseProtein kinase AGeneticsSignal transductionCell biologyGene

Abstract

fetched live from OpenAlex

We report 21 families displaying neurodevelopmental differences and multiple congenital anomalies while bearing a series of rare variants in mitogen-activated protein kinase kinase kinase kinase 4 ( MAP4K4 ). MAP4K4 has been implicated in many signaling pathways including c-Jun N-terminal and RAS kinases and is currently under investigation as a druggable target for multiple disorders. Using several zebrafish models, we demonstrate that these human variants are either loss-of-function or dominant-negative alleles and show that decreasing Map4k4 activity causes developmental defects. Furthermore, MAP4K4 can restrain hyperactive RAS signaling in early embryonic stages. Together, our data demonstrate that MAP4K4 negatively regulates RAS signaling in the early embryo and that variants identified in affected humans abrogate its function, establishing MAP4K4 as a causal locus for individuals with syndromic neurodevelopmental differences.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.255
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations8
Published2023
Admission routes1
Has abstractyes

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Same venueScience AdvancesSame topicMelanoma and MAPK PathwaysFrench-language works237,207