ArticleMethods in molecular biology (Clifton, N.J.)2022
Single-Cell Multiparametric Analysis of Rare HIV-Infected Cells Identified by Duplexed RNAflow-FISH.
Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- A Canadian Survey of Research on HIV-1 Latency-Where Are We Now and Where Are We Heading?Viruses · 2024Review
- Spontaneous HIV expression during suppressive ART is associated with the magnitude and function of HIV-specific CD4Cell host & microbe · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
HIV-infected cells are difficult to characterize in vivo because of their great paucity and their diversity. This chapter describes a duplexed flow cytometry method that enables detection, quantification and phenotyping of these rare cells at single-cell resolution. Primary CD4
Indexed as
Identifiers
34985672What OpenQuestion holds
Registered trials
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.