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Record W2307781162 · doi:10.1084/jem.2125insight3

T cell development runs marrow deep

2015· letter· en· W2307781162 on OpenAlexaff
Juan Carlos Zúñiga‐Pflücker

Bibliographic record

VenueThe Journal of Experimental Medicine · 2015
Typeletter
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsLineage (genetic)Bone marrowBiologyImmunologyCell lineageCell biologyAntigenCellular differentiationNotch signaling pathwaySignal transductionGeneticsGene

Abstract

fetched live from OpenAlex

Communication between cells is vital for maintenance of immune homeostasis and is also required for rapid and effective immune responses.Nowhere is this balance of activity more important than at mucosal surfaces such as the respiratory tract, where resident cells must ignore potentially antigenic inhaled material while responding swiftly to clear viruses and bacteria.In this issue, Bourdonnay et al. describe a novel form of intercellular communication that helps to explain how alveolar macrophages and epithelial cells maintain pulmonary homeostasis.The function of SOCS proteins is to constrain JAK-STAT signaling and repress inflammatory reactions.We do not usually expect to find these intracellular signaling molecules in extracellular compartments, but Bourdonnay et al. showed that lung-resident alveolar macrophages (AMs) were able to secrete SOCS1 within exosomes and SOCS3 within extracellular microparticles.Uptake of these extracellular vesicles by alveolar epithelial cells (AECs) allowed SOCS1 and -3 to suppress STAT signaling following activation by cytokines.The authors demonstrated that this novel extracellular transfer system was promoted by IL-10 and PGE 2 and inhibited by LPS.The phenomenon was demonstrated in a number of model systems including both rats and mice and also, importantly, in human AMs.Moreover, secretion was not simply dependent on expression of SOCS3, because fibroblasts expressed high levels of SOCS3 but did not secrete it.Any in vitro finding needs to be robustly tested in vivo to demonstrate a physiologic effect.The authors showed that SOCS3 was abundant in bronchiolar lavage (BAL) even in naive mice; SOCS3 levels increased after administration of PGE 2 to the lungs and decreased after pulmonary delivery of LPS.Moreover, SOCS3 was retrieved from BAL from healthy human volunteers.Interestingly, exposure to cigarette smoke reduced levels of both SOCS1 and -3 in both mice and humans; so, smoking could lead to unchecked JAK-STAT activation, thereby contributing to inflammatory responses.Although it remains to be seen whether this particular form of epithelial-macrophage communication operates during respiratory infection, these data are important because they shed some light on the complex interactions that maintain homeostasis within the lung.It may be possible to exploit this system in order to down-regulate inflammation following infection and ultimately facilitate the restoration of immune homeostasis.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.0100.007

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 head0.022
GPT teacher head0.253
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 designNot applicable
Domainnot available
GenreCommentary

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
Published2015
Admission routes1
Has abstractyes

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