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Record W2891921574 · doi:10.1172/jci98688

Mutations in multiple components of the nuclear pore complex cause nephrotic syndrome

2018· article· en· W2891921574 on OpenAlexfundno aff
Daniela A. Braun, Svjetlana Lovric, David Schapiro, Ronen Schneider, Jonathan Marquez, Maria Asif, Muhammad Sajid Hussain, Ankana Daga, Eugen Widmeier, Jia Rao, Shazia Ashraf, Weizhen Tan, C. Patrick Lusk, Amy Kolb, Tilman Jobst‐Schwan, Johanna Magdalena Schmidt, Charlotte A. Hoogstraten, Kaitlyn Eddy, Thomas M. Kitzler, Shirlee Shril, Abubakar Moawia, Kathrin Schrage, Arwa Ishaq A. Khayyat, Jennifer A. Lawson, Heon Yung Gee, Jillian K. Warejko, Tobias Hermle, Amar J. Majmundar, Hannah Hugo, Birgit Budde, Susanne Motameny, Janine Altmüller, Angelika A. Noegel, Hanan Fathy, Daniel P. Gale, Syeda Seema Waseem, Ayaz Khan, Larissa Kerecuk, Seema Hashmi, Nilufar Mohebbi, Robert B. Ettenger, Erkin Serdaroğlu, Khalid Alhasan, Sara Gonçalves, Gema Ariceta, M Ubetagoyena, Wolfram Antonin, Shahid Mahmood Baig, Fowzan S. Alkuraya, Qian Shen, Hong Xu, Corinne Antignac, Richard P. Lifton, Shrikant Mane, Peter Nürnberg, Mustafa K. Khokha, Friedhelm Hildebrandt

Bibliographic record

VenueJournal of Clinical Investigation · 2018
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsnot available
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute of General Medical SciencesHarvard Stem Cell InstituteNational Institutes of HealthDeutsche Akademie der Naturforscher Leopoldina - Nationale Akademie der WissenschaftenNational Heart, Lung, and Blood InstituteKing Saud UniversityDeutsche ForschungsgemeinschaftHigher Education Commision, PakistanUniversität zu KölnBoston Children's HospitalKidney Foundation of CanadaEuropean CommissionAcademy of Medical SciencesInstitut des maladies génétiques ImagineYale UniversityCanadian Society of NephrologyNational Human Genome Research InstituteAgence Nationale de la RechercheCanadian Institutes of Health ResearchAmerican Society of NephrologyUniversity of Michigan
KeywordsBiologyGene knockdownPhenotypeNuclear poreMorpholinoNucleoporinZebrafishNephrotic syndromeMutationGeneticsAlleleGeneCell biologyCancer researchNuclear transportCell nucleusCytoplasmEndocrinology

Abstract

fetched live from OpenAlex

Steroid-resistant nephrotic syndrome (SRNS) almost invariably progresses to end-stage renal disease. Although more than 50 monogenic causes of SRNS have been described, a large proportion of SRNS remains unexplained. Recently, it was discovered that mutations of NUP93 and NUP205, encoding 2 proteins of the inner ring subunit of the nuclear pore complex (NPC), cause SRNS. Here, we describe mutations in genes encoding 4 components of the outer rings of the NPC, namely NUP107, NUP85, NUP133, and NUP160, in 13 families with SRNS. Using coimmunoprecipitation experiments, we showed that certain pathogenic alleles weakened the interaction between neighboring NPC subunits. We demonstrated that morpholino knockdown of nup107, nup85, or nup133 in Xenopus disrupted glomerulogenesis. Re-expression of WT mRNA, but not of mRNA reflecting mutations from SRNS patients, mitigated this phenotype. We furthermore found that CRISPR/Cas9 knockout of NUP107, NUP85, or NUP133 in podocytes activated Cdc42, an important effector of SRNS pathogenesis. CRISPR/Cas9 knockout of nup107 or nup85 in zebrafish caused developmental anomalies and early lethality. In contrast, an in-frame mutation of nup107 did not affect survival, thus mimicking the allelic effects seen in humans. In conclusion, we discovered here that mutations in 4 genes encoding components of the outer ring subunits of the NPC cause SRNS and thereby provide further evidence that specific hypomorphic mutations in these essential genes cause a distinct, organ-specific phenotype.

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)0.002
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 score0.008
Threshold uncertainty score0.281

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.157
GPT teacher head0.383
Teacher spread0.226 · 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

Citations144
Published2018
Admission routes1
Has abstractyes

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