Evidence map›Paper›PMID 39652240›Full record

ReviewArchives of virology2024

Resolving viral structural complexity by super-resolution microscopy.

Kevin Olaya-Bravo, Daniel Martínez-Flores, Aaron Pavel Rodríguez-Hernández, Ileana Tobías-Juárez, Jorge A Castro-Rodríguez, Alicia Sampieri, Luis Vaca

Abstract readReview
PubMed Publisher
In one paragraph

Review in Archives of virology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Kevin Olaya-BravoDepartamento de BIologia Celular y del Desarrollo. Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico.
Daniel Martínez-FloresDepartamento de BIologia Celular y del Desarrollo. Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico.
Aaron Pavel Rodríguez-HernándezDepartamento de BIologia Celular y del Desarrollo. Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico.
Ileana Tobías-JuárezDepartamento de BIologia Celular y del Desarrollo. Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico.
Jorge A Castro-RodríguezDepartamento de BIologia Celular y del Desarrollo. Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico.
Alicia SampieriDepartamento de BIologia Celular y del Desarrollo. Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico.
Luis VacaDepartamento de BIologia Celular y del Desarrollo. Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico. lvaca@ifc.unam.mx.ORCID http://orcid.org/0000-0003-2266-4847

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this review, we discuss different super-resolution microscopy (SRM) techniques employed to study viral structures and virus composition with nanometric resolution. We describe the basic principles of the different microscopy methods utilized to break the light diffraction limit, enabling the study of protein composition in viral structures. Finally, we demonstrate for the first time the differential spatial distribution of two structural proteins in an individual baculovirus using single-molecule super-resolution microscopy. We discuss the future of these powerful methods for virology, medicine, and biotechnology applications.

Indexed as

MicroscopyViral StructuresBaculoviridaeSingle Molecule Imaging

Identifiers

PMID39652240

What OpenQuestion holds

Textmetadata
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.