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Record W2587740521 · doi:10.1073/pnas.1617244114

Conformational disruption of PI3Kδ regulation by immunodeficiency mutations in <i>PIK3CD</i> and <i>PIK3R1</i>

2017· article· en· W2587740521 on OpenAlexafffund
Gillian L. Dornan, Braden D. Siempelkamp, Meredith L. Jenkins, Oscar Vadas, C. Lucas, John E. Burke

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsUniversity of Victoria
FundersNational Heart, Lung, and Blood InstituteCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaGovernment of CanadaYale University
KeywordsPI3K/AKT/mTOR pathwayMutantP110αChemistryAPDSBiologyMolecular biologyCell biologyGeneBiochemistrySignal transduction

Abstract

fetched live from OpenAlex

Significance Activated PI3K Delta Syndrome (APDS) is a primary immunodeficiency disease caused by activating mutations in phosphoinositide 3-kinases (PI3Kδ). Activating mutations in either the p110δ catalytic or the p85α regulatory subunit of PI3Kδ result in APDS. Mutations in p85α leading to APDS are surprising, as other p85α-activating mutations are oncogenic when bound to the PI3Kα isoform. Using hydrogen–deuterium exchange mass spectrometry, we determined the molecular mechanisms by which APDS mutations in p110δ or p85α activate PI3Kδ and reveal why the p85α APDS2 mutant primarily activates PI3Kδ. All APDS mutants are potently inhibited by the PI3Kδ-specific inhibitor idelalisib. Together, the biophysical and biochemical data reveal insights into PI3Kδ regulation and provide a possible therapeutic strategy for treating patients with APDS.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.020
GPT teacher head0.282
Teacher spread0.263 · 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

Citations129
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of the National Academy of SciencesSame topicImmunodeficiency and Autoimmune DisordersFrench-language works237,207