Evidence map›Paper›PMID 38509308›Full record

ArticleCommunications biology2024

HIV-Tocky system to visualize proviral expression dynamics.

Omnia Reda, Kazuaki Monde, Kenji Sugata, Akhinur Rahman, Wajihah Sakhor, Samiul Alam Rajib, Sharmin Nahar Sithi, Benjy Jek Yang Tan, Koki Niimura, Chihiro Motozono and 4 more

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Omnia RedaDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID 0000-0002-1260-0527
Kazuaki MondeDepartment of Microbiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.ORCID 0000-0002-8314-5306
Kenji SugataDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.
Akhinur RahmanDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.
Wajihah SakhorDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.
Samiul Alam RajibDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID 0000-0003-0743-1172
Sharmin Nahar SithiDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID 0009-0002-4703-4251
Benjy Jek Yang TanDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID 0000-0002-8275-7378
Koki NiimuraSchool of Medicine, Kumamoto University, Kumamoto, Japan.
Chihiro MotozonoDivision of Infection and Immunology, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID 0000-0002-9027-742X
Kenji MaedaDivision of Antiviral Therapy, Joint Research Center for Human Retrovirus Infection, Kagoshima University, Kagoshima, Japan.
Masahiro OnoDepartment of Life Sciences, Imperial College London, London, UK.ORCID 0000-0002-9284-7326
Hiroaki TakeuchiDepartment of High-risk Infectious Disease Control, Tokyo Medical and Dental University (TMDU), Tokyo, Japan.ORCID 0000-0002-5689-9858
Yorifumi SatouDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan. y-satou@kumamoto-u.ac.jp.ORCID 0000-0002-1495-7810

Funding

Japan Agency for Medical Research and Development (AMED) JP22jm0210074Japan Agency for Medical Research and Development (AMED) JP23fk0410052Japan Agency for Medical Research and Development (AMED) JP23fk0410057Japan Agency for Medical Research and Development (AMED) JP23wm0325068Medical Research Council MR/S000208/1
6 · The paper itself

Abstract

Determinants of HIV-1 latency establishment are yet to be elucidated. HIV reservoir comprises a rare fraction of infected cells that can survive host and virus-mediated killing. In vitro reporter models so far offered a feasible means to inspect this population, but with limited capabilities to dissect provirus silencing dynamics. Here, we describe a new HIV reporter model, HIV-Timer of cell kinetics and activity (HIV-Tocky) with dual fluorescence spontaneous shifting to reveal provirus silencing and reactivation dynamics. This unique feature allows, for the first time, identifying two latent populations: a directly latent, and a recently silenced subset, with the latter having integration features suggestive of stable latency. Our proposed model can help address the heterogeneous nature of HIV reservoirs and offers new possibilities for evaluating eradication strategies.

Indexed as

HIV InfectionsProvirusesHumansVirus Latency

Identifiers

PMID38509308
PMCPMC10954732

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.