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Record W7132949180

Cooperation between Retinoic Acid and Lymphotoxin Signals maintains Type 2 conventional dendritic cell homeostasis.

2024· dissertation· W7132949180 on OpenAlexaff
Albert An Nguyen

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLymphotoxinLymphotoxin beta receptorImmune systemRetinoic acidDendritic cellFollicular dendritic cellsBone marrowLymphotoxin alphaSignal transductionChimera (genetics)
DOInot available

Abstract

fetched live from OpenAlex

Dendritic cells (DC) are specialized antigen presenting cells that react to environmental cues to shape the immune response. As orchestraters of inflammatory or regulatory immune responses, DCs are precisely positioned at barrier sites where they act as the first line of defense against foreign antigens. Multiple DC subsets have been described in the immune system, each exhibiting unique functions and distinct ontogeny. Within the conventional DC (cDC) population, Type II conventional dendritic cells (cDC2) play a crucial role in initiating helper T cell responses and directing their differentiation into effector lineages. Recent studies have identified two distinct cDC2 subsets in lymphoid tissues; however, the cell-intrinsic and -extrinsic signals that shape cDC2 heterogeneity in peripheral and mucosal lymphoid tissues remain unclear. Herein we found that in the murine spleen and gut-associated lymphoid tissues (GALT), T-bet expressing cDC2s (termed cDC2a) intrinsically require retinoic acid receptor (RAR) signaling for their maintenance during the steady-state. While cDC2a in the GALT possess enzymatic machinery to metabolize RA from retinol, splenic cDC2a do not have this capacity. Our lab and others have previously shown the absence of DC-intrinsic lymphotoxin beta receptor (LTR) signaling results in a partial loss of cDC2 in the spleen. Using genetic and bone marrow chimera approaches, I determined that the previously described LTR-dependent cDC2 correspond to the cDC2a subset. However, unlike RAR signaling which was required to maintain T-bet expression in cDC2a, cDC2-intrinsic LTR signaling operated prior to the acquisition of T-bet to achieve optimal numbers of splenic cDC2a. Additionally, within the splenic marginal zone bridging channel, cDC2a preferentially accessed the blood and uniquely express retinol binding protein receptor 2 (RBPR2), a receptor for blood-derived retinol. In the absence of cDC2-intrinsic LTR, splenic cDC2s proliferated normally but were found to be more “restless”, exhibiting higher levels of F-actin content and a loss of preferential cDC2a blood access. Taken together, we propose a novel mechanism for cDC2a development in the spleen whereby cDC2-intrinsic LTR signaling limits F-actin accumulation to facilitate access to blood-borne retinol which in turn enables cDCa differentiation via RAR signaling.

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 score0.001
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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.303
Teacher spread0.287 · 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
Published2024
Admission routes1
Has abstractyes

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