Evidence map›Paper›PMID 38743223›Full record

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

Correlative Imaging to Detect Rare HIV Reservoirs and Associated Damage in Tissues.

Silvana Valdebenito, David Ajasin, Brendan Prideaux, Eliseo A Eugenin

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Silvana ValdebenitoDepartment of Neurobiology, The University of Texas Medical Branch (UTMB), Galveston, TX, USA.
David AjasinDepartment of Neurobiology, The University of Texas Medical Branch (UTMB), Galveston, TX, USA.
Brendan PrideauxDepartment of Neurobiology, The University of Texas Medical Branch (UTMB), Galveston, TX, USA.
Eliseo A EugeninDepartment of Neurobiology, The University of Texas Medical Branch (UTMB), Galveston, TX, USA. eleugeni@utmb.edu.

Funding

Role of pannexin-1 hemichannels in NeuroAIDSR01NS105584 · NINDS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI EUGENIN, ELISEO A · 2017 to 2021
$3.2M
Metabolic strategies to eliminate CNS Myeloid Viral ReservoirsR01MH128082 · NIMH · UNIVERSITY OF TEXAS MED BR GALVESTON · PI EUGENIN, ELISEO A · 2021 to 2025
$3.1M
Targeting cell-to-cell communication to prevent bystander damage mediated by viral reservoirsR01MH134761 · NIMH · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Eliseo A Eugenin · 2024 to 2026
$2.1M
NIMH NIH HHS R01 MH128082NIMH NIH HHS R01 MH134761NINDS NIH HHS R01 NS105584
6 · The paper itself

Abstract

Correlative light-electron microscopy (CLEM) has evolved in the last decades, especially after significant developments in sample preparation, imaging acquisition, software, spatial resolution, and equipment, including confocal, live-cell, super-resolution, and electron microscopy (scanning, transmission, focused ion beam, and cryo-electron microscopy). However, the recent evolution of different laser-related techniques, such as mass spectrometry imaging (MSI) and laser capture microdissection, could further expand spatial imaging capabilities into high-resolution OMIC approaches such as proteomic, lipidomics, small molecule, and drug discovery. Here, we will describe a protocol to integrate the detection of rare viral reservoirs with imaging mass spectrometry.

Indexed as

HIV InfectionsDisease ReservoirsHIV-1HumansMass SpectrometryMicroscopy, ElectronMolecular ImagingAIDSColocalizationConfocalCureElectron microscopyEradicationHIV-1Mass spectrometry imaging

Identifiers

PMID38743223

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.