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Record W1975203501 · doi:10.1159/000167961

Gene Expression Profiles in Murine Influenza Pneumonia

2008· article· en· W1975203501 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Innate Immunity · 2008
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsInstitute of Infection and Immunity
FundersMedical Research Council
KeywordsBiologyGene expressionGeneBronchoalveolar lavageInflammationImmunologyIn vivoInfluenza A virusGene expression profilingRespiratory tractVirologyLungMolecular biologyVirusRespiratory systemMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: Many in vitro studies have focused on gene expression in influenza-infected leukocytes, lung tissue or cell lines. However, knowledge of in vivo gene expression in these compartments is limited. METHODS: To obtain insight into gene expression profiles during influenza infection, we determined the expression of multiple genes by using a newly developed mouse-specific multiplex ligation-dependent probe amplification assay. RESULTS: The genes involved in inflammation, Toll-like receptor signaling, coagulation, fibrinolysis, cell adhesion, tissue repair and homeostasis were measured in lung tissue, leukocytes in bronchoalveolar lavage fluid and tracheal epithelial cells in mice, before and after intranasal infection with influenza A. Most of the genes investigated were differentially expressed during the course of infection and returned to baseline levels when mice had recovered from the infection. However, expression of several genes remained altered even though mice had completely cleared the virus. CONCLUSION: These data provide the first information on compartmentalized gene expression profiles in the respiratory tract during influenza.

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.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.394
Threshold uncertainty score0.524

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.101
GPT teacher head0.377
Teacher spread0.276 · 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