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Record W2085180812 · doi:10.1021/bi034798l

Disease-Causing SAP Mutants Are Defective in Ligand Binding and Protein Folding

2003· article· en· W2085180812 on OpenAlexaff
Chengjun Li, Cristiana Iosef, Christina Y. H. Jia, Theofanis Gkourasas, Victor K. M. Han, Shawn S.‐C. Li

Bibliographic record

VenueBiochemistry · 2003
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsWestern University
Fundersnot available
KeywordsFYNMutantCell biologySH2 domainBiologyProtein foldingSignal transducing adaptor proteinMutant proteinSignal transductionProto-oncogene tyrosine-protein kinase SrcBiochemistryGene

Abstract

fetched live from OpenAlex

The X-linked lymphoproliferative (XLP) syndrome is caused by mutations or deletions in the SH2D1A gene that encodes an SH2 domain protein named SH2D1A or SAP. The identification of a number of missense mutations within the protein's SH2 domain, each of which can directly cause disease, provides a unique opportunity to investigate the function of an interaction protein module, SH2, in the pathogenesis of XLP. We show here that SAP mutants found in XLP patients are defective in binding its physiological ligands signaling lymphocyte activating molecule (SLAM), a co-receptor in T cell activation, and Fyn, a Src family protein tyrosine kinase. Consequently, these mutants are deficient in signaling through the SLAM receptor. This is reflected by compromised abilities for the mutants to recruit Fyn to SLAM and to activate Fyn, by reduced phosphorylation of the receptor, and by deficiencies for the mutants in blocking binding of SHP-2 to SLAM. Furthermore, all mutants examined are defective in protein folding as manifested by their significantly reduced melting temperatures upon thermal denaturation, compared to that of SAP. Taken together, these results suggest that defects in ligand binding, receptor signaling, and protein folding collectively contribute to the loss of function for disease-causing SAP mutants.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.007
Threshold uncertainty score0.465

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.011
GPT teacher head0.222
Teacher spread0.212 · 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 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

Citations24
Published2003
Admission routes1
Has abstractyes

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