MétaCan
Menu
Back to cohort
Record W7025109794

The transcriptional analysis of the macrophages' innate immune responses to «Salmonella typhiumurium and Legionella pneumophila» infection

2011· other· en· W7025109794 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2011
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicAeolian processes and effects
Canadian institutionsnot available
Fundersnot available
KeywordsLegionella pneumophilaPhagosomePhagolysosomeInnate immune systemPhagocytosisLegionellaImmune systemGene
DOInot available

Abstract

fetched live from OpenAlex

Macrophages are the first line of defense against microbial pathogens; they recognize microbial structures and products via surface receptors (Fc, C3b, SR, TLR) and intracellular antigen sensors (NLR family). Engagement of surface receptors results in phagocytosis of the microbe into a specialized vacuole, the phagosome. Through a series of fusogenic events, the phagosome matures into a fully microbicidal phagolysosome that is highly acidic and contains a number of degradative enzymes and toxic molecules that cause destruction of the microbe. Salmonella typhimurium (S. typhimurium) and Legionella pneumophila (L. pneumophila) are two pathogenic Gram-negative bacteria that are able to block phagosome maturation. Our hypothesis is that the macrophages' response to these pathogens contains a core response, which is induced by both pathogens, as well as a pathogen-specific response. We used a genome-wide transcription profiling approach to compare macrophage responses to phagocytosis of S. typhimurium or L. pneumophila at early time points, 2h (T2) and 4h (T4) post-infection (p.i.). The infections were performed on the macrophage-like cell line J774, and RNA isolated from infected and non-infected cells was hybridized to Mouse WG6 Illumina microarrays. Pairwise analysis led to the identification of 159 genes differently regulated compared to Non Infected (NI) samples in response to L. pneumophila infection at T2, 148 genes at T4 and 192 genes differently regulated in response to S. typhimurium at T2, and 402 genes at T4. Comparative analysis identified three groups of genes: 164 (T2) and 347 (T4) "Salmonella typhimurium-specific" genes, 131 (T2) and 99 (T4) "Legionella pneumophila-specific" genes. This analysis also revealed that 28 (T2) and 49 (T4) genes were differentially expressed in response to both pathogens. A list of 27 genes was validated using quantitative RT-PCR. Networking programs, including STRING or Pathvisio were used to generate 3 interaction networks illustrative of these three groups of genes. Our results clearly show that TNF-α is associated with the macrophage response to both infections, with this gene playing a central role in this pathway. The Legionella specific pathway is centered on Egr1, Fos and Jun whereas the Salmonella specific pathway has 3 nodes centered on Il10, Il6 and Ccnd1.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.666
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.004
GPT teacher head0.140
Teacher spread0.137 · 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.

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

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)Same topicAeolian processes and effectsFrench-language works237,207