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Abstract B05: An immune modulatory role for the Fes protein tyrosine kinase

2015· article· en· W2304807948 on OpenAlexaff
Faizah Alotaibi, Connie Zhang, Sameh Basta, Peter A. Greer

Bibliographic record

VenueMolecular Cancer Therapeutics · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsQueen's University
Fundersnot available
KeywordsCell biologySignal transductionBiologyImmune systemReceptorTyrosine kinaseCancer researchImmunologyBiochemistry

Abstract

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Abstract The Fes protein tyrosine kinase is abundantly expressed in phagocytic immune cells, including tumor associated macrophages. In addition to the C-terminal kinase and central SH2 domains, Fes contains an N-terminal F-BAR domain that confers unique membrane binding and bending properties which implicate it in the regulation of dynamic membrane-cytoskeletal remodeling processes associated with phagocytosis, receptor endocytosis, vesicular trafficking and cross-talk between receptor systems. In addition to roles in signaling downstream from a variety of cytokine receptors, including those for IL-3, -4, -5, and GM-CSF, Fes has also been implicated in regulating signaling downstream from the TLR-4 receptor for LPS. Fes knockout mice display enhanced sensitivity to LPS, and this was shown to be associated with increased NF-κB signaling and TNFα production from Fes-/- macrophages. Recent studies have also implicated Fes in cross-talk between MHC-I and the NF-κB and IRF-3 pathways in macrophages. Activation of these pro-inflammatory NF-κB and IRF-3 pathways so called Signal 3 - in antigen presenting cells (APCs) is associated with more robust activation of T cells. Interestingly, tumor onset in the MMTV-Neu transgenic mouse model of breast cancer is significantly delayed in Fes-/-, and this was associated with increased frequency of T and B lymphocytes in the premalignant mammary glands. These observations suggest that Fes contributes to the regulation of signaling downstream from the MHC-I and TLR receptors such that Fes disruption in TLR-engaged APCs would lead to enhanced activation of CD8+ T cells through increased Signal 3 from the T-cell receptor-engaged APCs. Using a lymphocytic choriomeningitis virus (LCMV) model of immune activation we show that LPS stimulated Fes-/- macrophages promote more robust activation of CD8+ T cells than Fes+/+ macrophages. Furthermore, LPS stimulated Fes-/- macrophages show increased phosphorylation of TBK-1 and IRF-3. We also observed that Fes co-localizes with MHC-I in dynamic vesicular structures within macrophages. These observations are consistent with a model where Fes regulates Signal 3 in APCs through roles in cross-talk between MHC-I and the NF-kB and IRF-3 signaling pathways. This suggests that Fes plays an immune checkpoint role at the level of Signal 3, and that Fes inhibition could promote tumor immunity through increased Signal 3 driven T cell activation. Citation Format: Faizah Mesfer Alotaibi, Connie Zhang, Sam Basta, Peter A. Greer. An immune modulatory role for the Fes protein tyrosine kinase. [abstract]. In: Proceedings of the AACR Special Conference: Tumor Angiogenesis and Vascular Normalization: Bench to Bedside to Biomarkers; Mar 5-8, 2015; Orlando, FL. Philadelphia (PA): AACR; Mol Cancer Ther 2015;14(12 Suppl):Abstract nr B05.

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 score0.014

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)0.0040.001

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 head0.036
GPT teacher head0.296
Teacher spread0.260 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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