Evidence map›Paper›PMID 35776352›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Superresolution Imaging of Cytoskeletal Networks in Fixed Brain Tissue.

Amirah-Iman Hicks, Suijian Zhou, Jieyi Yang, Masha Prager-Khoutorsky

Abstract read
PubMed Publisher
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Amirah-Iman HicksDepartment of Physiology, McGill University, Montreal, QC, Canada.
Suijian ZhouDepartment of Physiology, McGill University, Montreal, QC, Canada.
Jieyi YangDepartment of Physiology, McGill University, Montreal, QC, Canada.
Masha Prager-KhoutorskyDepartment of Physiology, McGill University, Montreal, QC, Canada. masha.prager-khoutorsky@mcgill.ca.
McGill University · CA

Funding

CIHR PJT-153009
6 · The paper itself

Abstract

Emerging evidence suggests that neurodegeneration is directly linked to dysfunction of cytoskeleton; however, visualizing the organization of cytoskeletal structures in brain tissues remains challenging due to the limitation of resolution of light microscopy. Superresolution imaging overcomes this limitation and resolves subcellular structures below the diffraction barrier of light (20-200 nm), while retaining the advantages of fluorescent microscopy such as simultaneous visualization of multiple proteins and increased signal sensitivity and contrast. However, superresolution imaging approaches have been largely limited to very thin samples such as cultured cells growing as a single monolayer. Analysis of thicker tissue sections represents a technical challenge due to high background fluorescence and quality of the tissue preservation methods. Among superresolution microscopy approaches, structured illumination microscopy is one of the most compatible methods for analyzing thicker native tissue samples. We have developed a methodology that allows maximal preservation and quantitative analyses of cytoskeletal networks in tissue sections from a rodent brain. This methodology includes a specialized fixation protocol, tissue preparation, and image acquisition procedures optimized for the characterization of subcellular cytoskeletal structures using superresolution with structured illumination microscopy.

Indexed as

BrainMicrotubulesMicroscopy, FluorescenceProteinsProteinsCytoskeletonFixed brain tissueImmunohistochemistrySample preparationStructured illumination microscopySuperresolution imaging in situ

Identifiers

PMID35776352
OpenAlexW4285172378

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.