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Record W4364367857 · doi:10.3389/fimmu.2023.1113735

CD90 is not constitutively expressed in functional innate lymphoid cells

2023· article· en· W4364367857 on OpenAlexfundno aff
Jan-Hendrik Schroeder, Gordon Beattie, Jonathan W. Lo, Tomasz Zabinski, Nick Powell, Joana F. Neves, Richard G. Jenner, Graham M. Lord

Bibliographic record

VenueFrontiers in Immunology · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicIL-33, ST2, and ILC Pathways
Canadian institutionsnot available
FundersMedical Research CouncilUniversität ZürichUniversity of TorontoResearch Councils UKNational Institute for Health and Care ResearchSunnybrook Research InstituteKing's College LondonUK Research and InnovationKing's College Hospital NHS Foundation TrustCancer Research UKUniversity of ManchesterWellcome Trust
KeywordsCD90Flow cytometryBiologyIn vivoInterleukin-7 receptorInnate lymphoid cellPopulationImmunologyCell biologyInnate immune systemStem cellT cellMedicineGeneticsImmune system

Abstract

fetched live from OpenAlex

Huge progress has been made in understanding the biology of innate lymphoid cells (ILC) by adopting several well-known concepts in T cell biology. As such, flow cytometry gating strategies and markers, such as CD90, have been applied to indentify ILC. Here, we report that most non-NK intestinal ILC have a high expression of CD90 as expected, but surprisingly a sub-population of cells exhibit low or even no expression of this marker. CD90-negative and CD90-low CD127 + ILC were present amongst all ILC subsets in the gut. The frequency of CD90-negative and CD90-low CD127 + ILC was dependent on stimulatory cues in vitro and enhanced by dysbiosis in vivo . CD90-negative and CD90-low CD127 + ILC were a potential source of IL-13, IFNγ and IL-17A at steady state and upon dysbiosis- and dextran sulphate sodium-elicited colitis. Hence, this study reveals that, contrary to expectations, CD90 is not constitutively expressed by functional ILC in the gut.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.016
GPT teacher head0.210
Teacher spread0.193 · 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 teacher head, not a consensus.

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

Citations6
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueFrontiers in ImmunologySame topicIL-33, ST2, and ILC PathwaysFrench-language works237,207