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‘Innate and T lymphocyte developmental pathways independent of Common lymphoid progenitors’

2016· article· en· W2906921009 on OpenAlexaff
Maryam Ghaedi, Catherine A. Steer, Itziar Martínez-González, Timothëus You Fu Halim, N. B. Abraham, Fumio Takei

Bibliographic record

VenueThe Journal of Immunology · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicIL-33, ST2, and ILC Pathways
Canadian institutionsUniversity of British ColumbiaTerry Fox Research InstituteBC Cancer Agency
Fundersnot available
KeywordsInnate lymphoid cellInterleukin-7 receptorBiologyProgenitor cellImmunologyLymphopoiesisPopulationProgenitorCell biologyImmune systemTransplantationInnate immune systemStem cellT cellIL-2 receptorMedicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract Lymphocytes are believed to develop from a population of committed lymphoid progenitors termed common lymphoid progenitors (CLPs). However, upstream lymphoid progenitors termed lymphoid-primed multi-potent progenitors (LMPPs) are more efficient than CLPs in differentiating into group 2 innate lymphoid cells (ILC2s) and T cells, suggesting that alternative pathways for the development of these cells exist. In this study, we divided LMPPs into CD127− (LMPP-s) and CD127+ (LMPP+s) subsets and compared them with Ly6D+ and Ly6D− CLPs. Adult LMPP+s differentiated into ILCs and T cells more rapidly and efficiently than other progenitors in transplantation assays. Development of ILC2s and T cells is highly active during neonatal period. In this period CLPs are rare and, unlike prominent neonatal LMPP+s, do not efficiently differentiate into ILC2s and T cells. ILC2s generated in neonates persist in adults. These results suggest that the majority of ILCs and T cells develop from LMPP+s via CLP-independent pathways.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.034
Threshold uncertainty score0.448

Codex and Gemma teacher scores by category

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

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 head0.014
GPT teacher head0.209
Teacher spread0.195 · 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.

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
Published2016
Admission routes1
Has abstractyes

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