Transcription factor BACH2 shapes tissue-resident memory T cell programs to promote HIV-1 persistence
Bibliographic record
Abstract
Tissue-resident memory T cells (Trms) are essential for mucosal immunity. We postulated that their long-lived tissue residency and restricted effector function promoted HIV-1 persistence in the gut. We coupled single-cell DOGMA-seq and TREK-seq to capture chromatin accessibility, transcriptome, surface proteins, T cell receptors (TCRs), HIV-1 DNA, and HIV-1 RNA in gut CD4 + and CD8 + T cells from ten aviremic HIV-1 + individuals and five HIV − donors. BACH2, a transcriptional repressor that establishes long-lived memory in T cells, was a key transcription factor that shaped gut Trms into long-lived memory and restrained interferon-driven effector function. BACH2-ablation shifted long-lived central memory T cells to effector memory. HIV-1-infected cells were predominantly identified among BACH2 high Trms, and HIV-1 preferentially infected and persisted in gut Trms in vitro . HIV-1-specific CD8 + T cells exhibited tissue residency and epigenetic scars of exhaustion, contributing to HIV-1 immune evasion in the gut. Overall, our findings indicate that HIV-1 persists in BACH2-shaped long-lived Trms.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".