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Development of a Novel Method for in Vitro Analysis of CD8 Thymocyte Selection and Maturation,

2011· article· en· W2557455968 on OpenAlexaff
Moutih Rafei, Alexandre Rouette, Juan Vanegas Ruiz, Claude Perreault

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsHôpital Maisonneuve-RosemontUniversité de Montréal
Fundersnot available
KeywordsCD8Stromal cellBiologyThymocyteCell biologyT cellT-cell receptorMajor histocompatibility complexImmunologyMolecular biologyCancer researchImmune system

Abstract

fetched live from OpenAlex

Abstract Abstract 3235 T cell development relies on the interaction between the T-cell receptor (TCR) on thymocytes and the self-major histocompatibility complex (MHC) expressed on thymic epithelial cells in the thymus. This process, called positive selection, rescues developing thymocytes from cell death while leading to their differentiation into mature T cells. Since it is believed that the proper development of CD8 T cells requires an intact thymus, several groups studied their development using fetal or reaggregation thymus organ cultures in vitro. Unfortunately, these models were shown to be cumbersome requiring a complicated set-up while generating limited cellular yield. Thus, we sought of developing a novel in vitro system using bone marrow-derived stromal cells to support CD8 T cell development and maturation in vitro. We selected the OTI system as a working model due to the availability of previously identified positively selecting peptides. Non-selected T-cell-committed double-positive (DP) OTI thymocytes (CD4+CD8+CD69−) were first fractionated based on the surface expression intensity of both TCR and CD5. These 3 subsets designated as TCRloCD5lo (DP1), TCRintCD5hi (DP2), and TCRhiCD5int (DP3) express different levels of ZAP70. Following fractionation, the DP subsets were co-cultured with bone marrow-derived stromal cells presenting OTI-selecting peptides. In the absence of cytokines, no CD8+ OTI cell development occurred in vitro. When repeated in the presence of γc-cytokines (IL2, IL4, IL7, IL9, IL15 and IL21) only rIL4 and rIL7 were able to induce CD8 T cell development. Supplementing the co-culture system with rIL4 led to the generation of 50–60% single-positive (SP) CD8 T cells only from the DP3 fraction whereas rIL7 induced the development of a minor fraction of CD8 T cells from DP2s (3–4%) and a major population from DP3 (50–76%). Furthermore, we found that rIL4 treatment triggers the development of 2 distinct populations of SP OTI cells (based on their CD8 expression intensity) which we termed CD8int and CD8hi. When analyzed by flow-cytometry, ex vivo generated CD8int, but not CD8hi, expressed high levels of CD69, PD-L1 and CD44. In contrast, SP CD8 T cells developed in the presence of rIL7 did not upregulate these markers. Since IL7 promotes survival and proliferation of TCR-triggered DPs while IL4 affects their differentiation, we admixed both cytokines during the co-culture and found a dominant rIL4 effect: the phenotype of SP CD8 T cells was similar to that induced by rIL4 alone. Taken together, our findings demonstrate that some DP thymocytes are efficiently selected in our system by OTI-specific positively selecting peptides. Notably, the addition of rIL7 leads to the development and maturation of classic CD8 T cells whereas rIL4 induces both classic and innate CD8 T cells. This work was supported by grant a from CIHR. Disclosures: No relevant conflicts of interest to declare.

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)0.001
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: Methods
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.059
GPT teacher head0.345
Teacher spread0.286 · 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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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