Evidence map›Paper›PMID 38063394›Full record

ArticlemBio2024

Ultrasensitive quantification of HIV-1 cell-to-cell transmission in primary human CD4

Dmitriy Mazurov, Alon Herschhorn

Open access · goldAbstract read
In one paragraph

Article in mBio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Highly efficient production of HIV-1Journal of virology · 2025
    Article
  2. Incompletely closed HIV-1Npj viruses · 2025
    Article
  3. mRNA-based HIV-1 vaccines.Clinical microbiology reviews · 2024
    Review
  4. Article
  5. Article
  6. Alternative substitutions of N332 in HIV-1bioRxiv : the preprint server for biology · 2023
    Article
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

2 authors at 1 institution in 1 country.

Dmitriy MazurovDivision of Infectious Diseases and International Medicine, Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.
Alon HerschhornDivision of Infectious Diseases and International Medicine, Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-9323-4820
University of Minnesota · US

Funding

Dissecting the mechanisms of HIV resistance in vivo to broadly neutralizing antibodiesU01AI169587 · NIAID · UNIVERSITY OF MINNESOTA · PI Priyamvada Acharya, Brandon James DeKosky · 2022 to 2026
$7.8M
Dissecting the Conformational Flexibility of HIV-1 Envelope GlycoproteinsR01AI167653 · NIAID · UNIVERSITY OF MINNESOTA · PI HERSCHHORN, ALON · 2022 to 2025
$2.9M
NIAID NIH HHS R01 AI167653NIAID NIH HHS U01 AI169587
6 · The paper itself

Abstract

importanceHIV-1 can efficiently transmit from one cell to another but accurate quantification of this mode of transmission is still challenging. Here, we developed an ultrasensitive assay to measure HIV-1 transmission between cells and to evaluate HIV-1 escape from broadly neutralizing antibodies in primary human T cells. This assay will contribute to understanding the fundamental mechanisms of HIV-1 cell-to-cell transmission, allow evaluation of pre-existing or acquired HIV-1 resistance in clinical trials, and can be adapted to study the biology of other retroviruses.

Indexed as

HIV-1HIV InfectionsHIV SeropositivityAntibodies, NeutralizingBroadly Neutralizing AntibodiesCD4-Positive T-LymphocytesHIV AntibodiesHumansT-LymphocytesAntibodies, NeutralizingBroadly Neutralizing AntibodiesHIV Antibodiesbroadly neutralizing antibodiescell-cell transmissionHIV-1

Identifiers

PMID38063394
PMCPMC10790777
OpenAlexW4389488494

What OpenQuestion 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 OpenQuestion graph.