MétaCan
Menu
Back to cohort
Record W2004838679 · doi:10.1159/000236547

In vitro Translation of mRNA from Rat Peritoneal and Intestinal Mucosal Mast Cells

2009· article· en· W2004838679 on OpenAlexaff
Toru Imai, Hidekazu Fujimaki, Tatsuya Abé, A. Dean Befus

Bibliographic record

VenueInternational Archives of Allergy and Immunology · 2009
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsUniversity of Calgary
FundersMedical Research Council
KeywordsMast cellIn vitroBiologyMessenger RNARNAMolecular biologyGel electrophoresisLysisAntibodyIn vivoReticulocyteImmunologyBiochemistry

Abstract

fetched live from OpenAlex

We isolated RNA from in vivo-derived rat peritoneal (PMC) and intestinal mucosal mast cells (IMMC) and assessed the in vitro translation products of these two mast cell types using rabbit reticulocyte lysate and wheat germ systems. The translated polypeptides were analyzed by one- and two-dimensional gel electrophoresis. Fluorographic analyses established that polypeptides with a spectrum of molecular size and pI were produced by both PMC and IMMC. Immunoprecipitation studies with anti-rat mast cell protease (RMCP) I antibodies detected a band at 31 kD from products of PMC RNA assessed by one-dimensional electrophoresis, whereas anti-RMCP II antibodies precipitated a band of 27 kD from products of IMMC RNA. This is the first report of translation products of IMMC and of the translated precursors of RMCP I and RMCP II.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.011
GPT teacher head0.261
Teacher spread0.251 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueInternational Archives of Allergy and ImmunologySame topicFood Allergy and Anaphylaxis ResearchFrench-language works237,207