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Enregistrement W3097547337 · doi:10.1182/blood-2020-140667

Single Cell Immune Profiling Reveals Distinct T Cell Clones and Functional States in <i>in-Vitro</i> Expanded Cord Blood Derived Gamma Delta T Cells

2020· article· en· W3097547337 sur OpenAlexaff
Kar Wai Tan, Zhihui Li, Joey Lai, Dianyan Guo, Yeh Ching Linn, William Ying Khee Hwang, Shang Li, Connie J. Eaves, Yeow Tee Goh, Alice M.S. Cheung

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineImmunology and Microbiology
ThématiqueImmune Cell Function and Interaction
Établissements canadiensBC Cancer Agency
Organismes subventionnairesnon disponible
Mots-clésT-cell receptorBiologyAntigenMajor histocompatibility complexT cellAntigen-presenting cellCord bloodContext (archaeology)Molecular biologyCell biologyImmune systemImmunology

Résumé

récupéré en direct d'OpenAlex

Gamma-delta (γδ) T cells represent a special class of unconventional T cells defined by their expression of the somatically rearranged T cell receptor (TCR) γ and δ chains. Unlike TCRαβ, it has been reported that different TCRγδ are also able to bind to their antigens in the context of non-classical MHC-like molecules or totally independent of the MHC complexes. Additionally, a variety of NK receptors are known to be expressed by γδ T cells, conferring their ability to sense alternative classes of cancer-associated antigens in a multimodal manner. Such a diverse mode of antigen recognition possibly endows γδ T cells with a wide spectrum of functional activation program. Our team had previously explored the potential of expanding cord blood (CB) derived γδ T cells (CB-gdT) as well as their corresponding ability to target primary acute myeloid leukemia (AML) cells. Using a feeder cell line-based in vitro expansion protocol, we achieved a clinically relevant scale expansion of γδ T cells over a period of 14 days. These cells exhibit variable degree of potency against a range of human AML cell lines and primary patient samples. In order to dissect the cellular and molecular programs governing the activation, differentiation and functional states of our in vitro expanded CB-gdT, we performed multiplex single cell sequencing analysis using the 10X Genomics Chromium System. After initial quality check and filtering, data from a total of 4,276 cells were retrieved. Among which, we identified 742 unique TCRγδ clonotypes, representing 18.6% of the starting 4,000 FACS purified γδ T cells seeded for expansion. The largest 10% of the clones was found to make up 60.9% of the total retrieved cells, demonstrating a significant extent of clonal focusing in our expansion cultures. Consistent to our FACS analysis, Vδ1 is the predominant TRD chain in the expanded cultures, accounting for 61.2% of all clones. Vγ4 is the most prevalent TRG chain making up to 24.9% of all clones regardless of the paired Vδ subtype. Notably, however, the largest γδ T cell clone did not utilize Vγ4, indicating that Vγ4 clones, although frequent, are not the most proliferative clone. These data are supportive of the adaptive characteristics of CB-gdTs, likely in a TCRγδ dependent manner. Based on uniform manifold approximation and projection for dimension reduction (UMAP), all cells were clustered into 11 subsets. Key cytotoxic genes including GZMB, GZMA and NKG7 were all highly expressed across all clusters, indicating that the expanded cells were indeed functionally cytotoxic. Comparing against multiple curated gene sets, we have identified 3 main subsets of γδ T cells: the Proliferative, Cytotoxic γδ T cells (P-CT), Differentiated Cytotoxic γδ T cells (D-CT) and Late Activated Cytotoxic γδ T cells (LA-CT). P-CT (~46% of all cells) shows an expression profile positively associated with cell proliferation as well as increased cell surface expression of memory T cell markers CD27, CCR7 and CD62L. Similar to cytotoxic genes, genes associated with TCR signaling and interferon response were found to be expressed across all cell clusters, yet with elevated levels in D-CT and LA-CT. Furthermore, cell surface expression of different NK receptors including NKG2D, DNAM1 and NKp30 are more enriched in LA-CT compared to the other 2 subsets, suggesting the acquisition of additional NK receptor related functions in this group of cells. Consistent with the concept of progressive γδ T cell differentiation and activation in culture, we found that in 85 (11.5%) of the γδ T cell clones bearing more than 10 cells each, all clones contain cells distributed across the 3 different γδ T cell subsets. Further analysis did not reveal any relationship between the relative proportion of the subsets within each clone with clone size nor any specific type of delta/gamma chain. Taken together, our high-resolution transcriptome analysis suggests that as CB-gdT expand and differentiate in culture, they are likely to adopt dynamic memory and signal -specific functional programs. More importantly, our data highlights the rich clonal and cellular composition of in vitro expanded CB-gdT. These unique characteristics of our CB-gdT can overcome the challenges of tumor heterogeneity and cell persistence, with the potential of improving outcomes in cell immunotherapy. Disclosures Tan: Tessa Therapeutics Ltd: Current Employment.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,002

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,015
Tête enseignante GPT0,204
Écart entre enseignants0,189 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2020
Routes d'admission1
Résumé présentoui

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