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Opposing roles of SWI/SNF chromatin remodeling complex BAF and PBAF in Effector Differentiation during Chronic Viral Infection

2024· article· en· W4404167331 on OpenAlexaff
Arjun Kharel, Ryan Brown, Kexin Gai, Weiguo Cui

Bibliographic record

VenueThe Journal of Immunology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChromatin Remodeling and Cancer
Canadian institutionsWestern University
Fundersnot available
KeywordsChromatin remodelingEffectorSWI/SNFViral infectionCell biologyChromatinBiologyVirologyGeneticsVirusDNA

Abstract

fetched live from OpenAlex

Abstract During chronic viral infection, CD4+ T cells help in the form of IL-21 is critical for the development of highly cytolytic effector CD8+ T cells. However, the exact signaling pathways from IL-21 that regulate CD8+ T cell function remain unclear. The current dogma states that IL-21 predominantly signals through STAT3, to generate effector CD8+ T cells during chronic viral infection. Here, we reveal a novel mechanism of IL-21 signaling via STAT4 for effector CD8+ T cell development following chronic LCMV infection. Furthermore, STAT4-mediated effector differentiation is epigenetically regulated by BAF, a SWI/SNF chromatin remodeling complex. In the absence of either STAT4 or BAF, virus specific CD8+ T cells fail to differentiate into highly cytolytic effector CD8+ T cells capable of controlling viral infection. The effector differentiation phenotype is balanced by PBAF, another component of the SWI/SNF complex, which promotes CD8+ T cell exhaustion during chronic LCMV infection. Conditional knockout of PBAF from CD8+ T cells impairs the development of T cell exhaustion, resulting in immunopathology and mortality of chronic LCMV-infected mice. Interestingly, this phenotype is dependent on the STAT4 and BAF-mediated transcriptional and chromatin changes. Overall, our findings underscore the delicate balance between effector and exhaustion pathways, governed by BAF and PBAF complex, to dictate the outcomes of immunopathology during chronic viral infections.

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 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 score0.100
Threshold uncertainty score0.271

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.009
GPT teacher head0.252
Teacher spread0.243 · 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
Published2024
Admission routes1
Has abstractyes

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