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Record W2097600311 · doi:10.4269/ajtmh.2009.81.258

West Nile Virus Infection Alters Midgut Gene Expression in Culex pipiens quinquefasciatus Say (Diptera: Culicidae)

2009· article· en· W2097600311 on OpenAlexaff
Chelsea T. Smartt, Stephanie L. Richards, Sheri L. Anderson, Jennifer S. Erickson

Bibliographic record

VenueAmerican Journal of Tropical Medicine and Hygiene · 2009
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsMcMaster University
FundersNational Institute of Allergy and Infectious Diseases
KeywordsCulex quinquefasciatusMidgutBiologyComplementary DNAVirologyGeneBlood mealclone (Java method)GenBankGene expressionCulexAedes aegyptiCulex pipiensAedes albopictusMolecular biologyLarvaGeneticsZoologyBotany

Abstract

fetched live from OpenAlex

Alterations in gene expression in the midgut of female Culex pipiens quinquefasciatus exposed to blood meals containing 6.8 logs plaque-forming units/mL of West Nile virus (WNV) were studied by fluorescent differential display. Twenty-six different cDNAs exhibited reproducible differences after feeding on infected blood. Of these, 21 cDNAs showed an increase in expression, and 5 showed a decrease in expression as a result of WNV presence in the blood meal. GenBank database searches showed that one clone with increased expression, CQ G12A2, shares 94% identity with a leucine-rich repeat-containing protein from Cx. p. quinquefasciatus and 32% identity to Toll-like receptors from Aedes aegypti. We present the first cDNA clone isolated from female Cx. p. quinquefasciatus midgut tissue whose expression changes on exposure to WNV. This cDNA represents a mosquito gene that is an excellent candidate for interacting with WNV in Cx. p. quinquefasciatus and may play a role in disease transmission.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.010
GPT teacher head0.281
Teacher spread0.271 · 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 designObservational
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

Citations33
Published2009
Admission routes1
Has abstractyes

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