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Record W2160600012 · doi:10.1152/ajplung.00069.2002

Apparent normal lung architecture in protein tyrosine phosphatase-ς-deficient mice

2003· article· en· W2160600012 on OpenAlexaff
Jane Batt, Ernest Cutz, Chris Fladd, Daniela Rotin

Bibliographic record

VenueAmerican Journal of Physiology-Lung Cellular and Molecular Physiology · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Tyrosine Phosphatases
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsEctodomainProtein tyrosine phosphataseBiologyKnockout mousePhosphataseEpitheliumNeuroendocrine cellEndocrinologyPathologyCell biologyInternal medicineReceptorImmunologySignal transductionPhosphorylationMedicineImmunohistochemistry

Abstract

fetched live from OpenAlex

Protein tyrosine phosphatase-sigma (PTP-sigma) is a member of the mammalian LAR family of phosphatases, which is characterized by a cell adhesion-like ectodomain, a single transmembrane segment, and two tandemly repeated intracellular catalytic domains. The expression of PTP-sigma is developmentally regulated in epithelial, neuronal, and neuroendocrine tissues. We previously showed that PTP-sigma is strongly expressed within the fetal, but not adult, rat lung and is localized to the Clara cells and type II pneumocytes. In view of the developmentally regulated pulmonary expression of PTP-sigma, we performed a detailed histological and ultrastructural study of the lungs of PTP-sigma knockout mice we have generated. Our findings indicate no apparent structural abnormalities in the lungs of PTP-sigma-/- mice, including airway and alveolar epithelium. In addition, pulmonary neuroendocrine cells also appear normal, in contrast to pituitary, pancreatic, and gastrointestinal endocrine cells, in the knockout mice, suggesting different developmental regulation of these neuroendocrine cells. These observations suggest compensation for the absence of PTP-sigma during development by related family member phosphatases, such as LAR.

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 categoriesMeta-epidemiology (narrow)
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 score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.003
GPT teacher head0.212
Teacher spread0.209 · 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.

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

Citations7
Published2003
Admission routes1
Has abstractyes

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