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Record W2110477438 · doi:10.1089/aid.2014.0361

Mutations in CypA Binding Region of HIV-1 Capsid Affect Capsid Stability and Viral Replication in Primary Macrophages

2015· article· en· W2110477438 on OpenAlexaff
Laurentia C. Setiawan, Karel A. van Dort, Maarten A. N. Rits, Neeltje A. Kootstra

Bibliographic record

VenueAIDS Research and Human Retroviruses · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsInstitute of Infection and Immunity
FundersNederlandse Organisatie voor Wetenschappelijk OnderzoekLandsteiner Foundation for Blood Transfusion Research
KeywordsCypaCapsidCyclophilin ABiologyMutantViral replicationInfectivityVirologyHost factorVirusCis-trans-IsomerasesWild typeMolecular biologyGenePeptidylprolyl isomeraseGenetics

Abstract

fetched live from OpenAlex

Mutations in the cyclophilin A (CypA) binding region in the HIV-1 capsid affect their dependency on the known HIV-1 cofactor CypA and allow escape from the HIV-1 restriction factor Trim5α in human and simian cells. Here we study the effect of these mutations in the CypA binding region of capsid on cofactor binding, capsid destabilization, and viral replication in primary cells. We showed that the viral capsid with mutations in the CypA binding region (CypA-BR) interacted efficiently with CypA, but had an increased stability upon infection as compared to the wild-type capsid. Interestingly, the wild-type virus was able to infect monocyte-derived macrophages (MDM) more efficiently as compared to the CypA-BR mutant variant. The lower infectivity of the CypA-BR mutant virus in MDM was associated with lower levels of reverse transcription products. Similar to the wild-type virus, the CypA-BR mutant variant was unable to induce a strong innate response in primary macrophages. These data demonstrate that mutations in the CypA binding site of the capsid resulted in higher capsid stability and hampered infectivity in macrophages.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.101
GPT teacher head0.368
Teacher spread0.267 · 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 designObservational
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

Citations13
Published2015
Admission routes1
Has abstractyes

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