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Record W3011808998 · doi:10.21769/bioprotoc.3562

Characterization of Immunological Niches within Peyer’s Patches by ex vivo Photoactivation and Flow Cytometry Analysis

2020· article· en· W3011808998 on OpenAlexfundno aff
Adi Biram, Ziv Shulman

Bibliographic record

VenueBIO-PROTOCOL · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsnot available
FundersBenoziyo Endowment Fund for the Advancement of ScienceAzrieli FoundationRising Tide FoundationGerald O. Mann Charitable FoundationEuropean Molecular Biology Organization
KeywordsGerminal centerFlow cytometryEx vivoBiologyAffinity maturationCell biologyPopulationPeyer's patchFollicular dendritic cellsT cellNicheB cellImmunologyAntibodyMolecular biologyImmune systemIn vivoAntigen-presenting cellGeneticsBiochemistry

Abstract

fetched live from OpenAlex

T follicular helper (Tfh) cells regulate B cell selection for entry into the germinal center (GC) reaction or for differentiation into antibody forming cells. This process takes place at the border between the T and B zones in lymphoid organs and involves physical contacts between T and B cells. During these interactions, T cells endow the B cells with selection signals that promote GC seeding or plasmablast differentiation based on their B cell receptor affinity. In Peyer's patches (PPs), T cells promote B cell colonization of the subepithelial dome (SED) without effective affinity-based clonal selection. To specifically characterize the T cell population that resides within the SED niche, we performed ex vivo photoactivation of the SED compartment followed by flow cytometry analysis of the labeled cells, as described in this protocol. This technique integrates both spatial and cellular information in studies of immunological niches and can be adapted to various experimental systems.

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: Methods · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.251
Teacher spread0.231 · 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
GenreMethods

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
Published2020
Admission routes1
Has abstractyes

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