Evidence map›Paper›PMID 38743220›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Single-Cell Single-Molecule RNA-FISH Combined with Immunofluorescence and High-Speed and High-Resolution Scanning Analysis to Visualize the Reactivation of Latent HIV-1.

Rajiv Pathak, Carolina Eliscovich, Robert H Singer, Ganjam V Kalpana

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Rajiv PathakDepartment of Genetics and Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA.
Carolina EliscovichDepartment of Medicine (Hepatology), and Developmental and Molecular Biology, Albert Einstein College of Medicine, Bronx, NY, USA.
Robert H SingerDepartment of Cell Biology and Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA.
Ganjam V KalpanaDepartment of Genetics and Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA. ganjam.kalpana@einsteinmed.edu.

Funding

Training in HIV/AIDS Pathogenesis; Basic and Translational ResearchT32AI007501 · NIAID · YESHIVA UNIVERSITY · PI PRASAD, VINAYAKA R. · 1995 to 2024
$6.6M
The Mediator complex in the coordinate regulation of lipogenic gene expressionR01DK110063 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI ELISCOVICH, CAROLINA INES, PESSIN, JEFFREY E. · 2016 to 2025
$5.9M
RNA-mimicry to guide the intra-cellular targeting of host virus protein and viral RNA-protein interactions to inhibit HIV replication.R01AI170206 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI GANJAM V KALPANA · 2022 to 2026
$3.2M
Effect of Drugs of Abuse on CNS HIV-1 Reservoirs and NeuropathogenesisR01DA043169 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KALPANA, GANJAM V, PRASAD, VINAYAKA R. · 2016 to 2021
$3.2M
High Speed, High Resolution Slide Scanner for Research in Translational MedicineS10OD026852 · OD · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI CONDEELIS, JOHN S · 2022 to 2022
$472k
Single cell RNA-seq and single molecule RNA-FISH approaches to study stochasticity of latent HIV-1 reactivationR21AI152826 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI KALPANA, GANJAM V · 2020 to 2021
$462k
Mechanism of HIV-1 Latency and Reactivation Kinetics Using Single Cell AnalysisR21AI127326 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KALPANA, GANJAM V · 2016 to 2017
$459k
NIAID NIH HHS R01 AI170206NIAID NIH HHS R21 AI127326NIAID NIH HHS R21 AI152826NIAID NIH HHS T32 AI007501NIDA NIH HHS R01 DA043169NIDDK NIH HHS R01 DK110063NIH HHS S10 OD026852
6 · The paper itself

Abstract

Latent HIV-1 reservoirs are a major obstacle to the eradication of HIV-1. Several cure strategies have been proposed to eliminate latent reservoirs. One of the key strategies involves the reactivation of latent HIV-1 from cells using latency-reversing agents. However, currently it is unclear whether any of the latency-reversing agents are able to completely reactivate HIV-1 provirus transcription in all latent cells. An understanding of the reactivation of HIV-1 provirus at single-cell single-molecule level is necessary to fully comprehend the reactivation of HIV-1 in the reservoirs. Furthermore, since reactivable viruses in the pool of latent reservoirs are rare, combining single-cell imaging techniques with the ability to visualize a large number of reactivated single cells that express both viral RNA and proteins in a pool of uninfected and non-reactivated cells will provide unprecedented information about cell-to-cell variability in reactivation. Here, we describe the single-cell single-molecule RNA-FISH (smRNA-FISH) method to visualize HIV-1 gag RNA combined with the immunofluorescence (IF) method to detect Gag protein to characterize the reactivated cells. This method allows the visualization of subcellular localization of RNA and proteins before and after reactivation and facilitates absolute quantitation of the number of transcripts per cell using FISH-quant. In addition, we describe a high-speed and high-resolution scanning (HSHRS) fluorescence microscopy imaging method to visualize rare and reactivated cells in a pool of non-reactivated cells with high efficiency.

Indexed as

Fluorescent Antibody TechniqueHIV-1In Situ Hybridization, FluorescenceRNA, ViralSingle-Cell AnalysisSingle Molecule ImagingVirus ActivationVirus LatencyHIV InfectionsHumansProvirusesRNA, ViralGag RNAHigh-speed high-resolution scanningHIV-1 latencyImmunofluorescenceReactivationSingle-cell imagingSingle-cell single-molecule RNA- FISHsmRNA-FISHsmRNA-FISH+IF

Identifiers

PMID38743220

What OpenQuestion holds

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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.