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Record W3198188945 · doi:10.1016/j.celrep.2021.109643

Combined single-cell transcriptional, translational, and genomic profiling reveals HIV-1 reservoir diversity

2021· article· en· W3198188945 on OpenAlexafffund
Gérémy Sannier, Mathieu Dubé, Caroline Dufour, Corentin Richard, Nathalie Brassard, Gloria-Gabrielle Delgado, Amélie Pagliuzza, Amy E. Baxter, Julia Niessl, Elsa Brunet‐Ratnasingham, Roxanne Charlebois, Bertrand Routy, Jean‐Pierre Routy, Rémi Fromentin, Nicolas Chomont, Daniel E. Kaufmann

Bibliographic record

VenueCell Reports · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsMcGill University Health CentreUniversité de MontréalCentre Hospitalier de l’Université de Montréal
FundersFonds de Recherche du Québec - SantéNational Institutes of HealthNational Institute of Allergy and Infectious DiseasesServierCanadian Institutes of Health ResearchSociedad Argentina de Hipertensión ArterialMcGill University
KeywordsBiologyRNATranscription (linguistics)GeneCellEffectorVirus latencyGeneticsComputational biologyVirologyViral replicationCell biologyCell culture

Abstract

fetched live from OpenAlex

cells, are mostly defective. Although LRAs efficiently induce transcription in all memory cell subsets, we observe induction of translation mostly in effector memory cells, rather than in the long-lived central memory pool. We identify HIV-1 clones with diverse transcriptional and translational patterns between individual cells, and this finding suggests that cell-intrinsic factors influence reservoir persistence and heterogeneity.

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 score0.063
Threshold uncertainty score0.849

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)0.0010.000

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 head0.032
GPT teacher head0.237
Teacher spread0.205 · 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

Citations61
Published2021
Admission routes2
Has abstractyes

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