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Record W2903877638 · doi:10.1371/journal.pbio.2006649

CD71+VISTA+ erythroid cells promote the development and function of regulatory T cells through TGF-β

2018· article· en· W2903877638 on OpenAlexafffund
Shima Shahbaz, Najmeh Bozorgmehr, Petya Koleva, Afshin Namdar, Juan Jovel, Roy A. Fava, Shokrollah Elahi

Bibliographic record

VenuePLoS Biology · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsThe Metabolomics Innovation CentreUniversity of Alberta
FundersChildren's Health Research InstituteCanadian Institutes of Health ResearchWomen and Children's Health Research InstituteU.S. Department of Veterans Affairs
KeywordsTransferrin receptorBiologyCell biologyFOXP3PopulationTransferrinImmunologyMolecular biologyCancer researchEndocrinologyImmune systemMedicine

Abstract

fetched live from OpenAlex

Cell-surface transferrin receptor (CD71+) erythroid cells are abundant in newborns with immunomodulatory properties. Here, we show that neonatal CD71+ erythroid cells express significant levels of V-domain Immunoglobulin (Ig) Suppressor of T Cell Activation (VISTA) and, via constitutive production of transforming growth factor (TGF)- β, play a pivotal role in promotion of naïve CD4+ T cells into regulatory T cells (Tregs). Interestingly, we discovered that CD71+VISTA+ erythroid cells produce significantly higher levels of TGF-β compared to CD71+VISTA- erythroid cells and CD71+ erythroid cells from the VISTA knock-out (KO) mice. As a result, CD71+VISTA+ erythroid cells-compared to CD71+VISTA- and CD71+ erythroid cells from the VISTA KO mice-significantly exceed promotion of naïve CD4+ T cells into induced Tregs (iTreg) via TGF-β in vitro. However, depletion of CD71+ erythroid cells had no significant effects on the frequency of Tregs in vivo. Surprisingly, we observed that the remaining and/or newly generated CD71+ erythroid cells following anti-CD71 antibody administration exhibit a different gene expression profile, evidenced by the up-regulation of VISTA, TGF-β1, TGF-β2, and program death ligand-1 (PDL-1), which may account as a compensatory mechanism for the maintenance of Treg population. We also observed that iTreg development by CD71+ erythroid cells is mediated through the inhibition of key signaling molecules phosphorylated protein kinase B (phospho-Akt) and phosphorylated mechanistic target of rapamycin (phospho-mTOR). Finally, we found that elimination of Tregs using forkhead box P3 (FOXP3)-diptheria toxin receptor (DTR) mice resulted in a significant expansion in the frequency of CD71+ erythroid cells in vivo. Collectively, these studies provide a novel, to our knowledge, insight into the cross-talk between CD71+ erythroid cells and Tregs in newborns. Our results highlight the biological role of CD71+ erythroid cells in the neonatal period and possibly beyond.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.359
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.018
GPT teacher head0.223
Teacher spread0.206 · 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; both teacher heads agree on what is shown here.

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

Citations90
Published2018
Admission routes2
Has abstractyes

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