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Record W2098574165 · doi:10.1016/s0014-5793(01)02663-1

Mice lacking histidine decarboxylase exhibit abnormal mast cells

2001· article· en· W2098574165 on OpenAlexaff
Hiroshi Ohtsu, Satoshi Tanaka, Tadashi Terui, Yoshio Hori, Yoko Makabe‐Kobayashi, Gunnar Pejler, Elena Tchougounova, Lars Hellman, Marina Gertsenstein, Noriyasu Hirasawa, Eiko Sakurai, Edit I. Buzás, Péter Kovács, G. Csaba, Ágnes Kittel, Mikiko Okada, Masahiro Hara, Lynn Mar, Keiko Numayama‐Tsuruta, Satsuki Ishigaki-Suzuki, Kazuo Ohuchi, A Ichikawa, András Falus, Takehiko Watanabe, András Nagy

Bibliographic record

VenueFEBS Letters · 2001
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMast cells and histamine
Canadian institutionsUniversity of TorontoLunenfeld-Tanenbaum Research InstituteMount Sinai Hospital
FundersKanae Foundation for the Promotion of Medical ScienceMochida Memorial Foundation for Medical and Pharmaceutical Research
KeywordsHistidine decarboxylaseHistamineHistidineProteasesMast cellChemistryHistamine N-methyltransferaseHistamine H4 receptorBiologyBiochemistryCell biologyMolecular biologyImmunologyEnzymeHistamine H2 receptorPharmacologyReceptor

Abstract

fetched live from OpenAlex

Histidine decarboxylase (HDC) synthesizes histamine from histidine in mammals. To evaluate the role of histamine, we generated HDC-deficient mice using a gene targeting method. The mice showed a histamine deficiency and lacked histamine-synthesizing activity from histidine. These HDC-deficient mice are viable and fertile but exhibit a decrease in the numbers of mast cells while the remaining mast cells show an altered morphology and reduced granular content. The amounts of mast cell granular proteases were tremendously reduced. The HDC-deficient mice provide a unique and promising model for studying the role of histamine in a broad range of normal and disease processes.

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 score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.009
GPT teacher head0.198
Teacher spread0.189 · 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

Citations397
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueFEBS LettersSame topicMast cells and histamineFrench-language works237,207