Standardization of a silver stain to reveal mesoscale myelin in histological preparations of the mammalian brain.

brain histology mammal myelin myeloarchitecture

Journal

Journal of neuroscience methods
ISSN: 1872-678X
Titre abrégé: J Neurosci Methods
Pays: Netherlands
ID NLM: 7905558

Informations de publication

Date de publication:
14 Apr 2024
Historique:
received: 18 01 2024
revised: 26 03 2024
accepted: 12 04 2024
medline: 17 4 2024
pubmed: 17 4 2024
entrez: 16 4 2024
Statut: aheadofprint

Résumé

The brain is built of neurons supported by myelin, a fatty substance that improves cellular communication. Noninvasive magnetic resonance imaging (MRI) is now able to measure brain structure like myelin and requires histological validation. Here we present work in small and large biomedical model mammals to standardize a silver impregnation method as a high-throughput histological myelin visualization procedure. Specifically, we built a new staining well plate to increase batch size, and then systematically varied the staining and clearing cycles to describe the staining response curve across taxa and conditions. We compared tissues fixed by immersion or perfusion, mounted versus free-floating, and cut as thicker or thinner slices, with two-weeks of post-fixation. The staining response curves show optimal staining with a single exposure across taxa when incubation and clearing epochs are held to within 3 to 9minutes. We show that clearing was slower in mounted vs free-floating tissue, and that staining was faster and caused fracturing earlier in thinner sliced and smaller volumes of tissue. We developed a batch processing approach to increase throughput while ensuring reproducibility and demonstrate the optimal conditions for fine myelinated fiber morphology visualization with short cycles (<9minutes). We present our optimized protocol to reveal mesoscale neuroanatomical myelin content in histology across mammals. This standard staining procedure will facilitate multiscale analyses of myelin content across development as well as in the presence of injury or disease.

Sections du résumé

BACKGROUND BACKGROUND
The brain is built of neurons supported by myelin, a fatty substance that improves cellular communication. Noninvasive magnetic resonance imaging (MRI) is now able to measure brain structure like myelin and requires histological validation.
NEW METHOD METHODS
Here we present work in small and large biomedical model mammals to standardize a silver impregnation method as a high-throughput histological myelin visualization procedure. Specifically, we built a new staining well plate to increase batch size, and then systematically varied the staining and clearing cycles to describe the staining response curve across taxa and conditions. We compared tissues fixed by immersion or perfusion, mounted versus free-floating, and cut as thicker or thinner slices, with two-weeks of post-fixation.
RESULTS RESULTS
The staining response curves show optimal staining with a single exposure across taxa when incubation and clearing epochs are held to within 3 to 9minutes. We show that clearing was slower in mounted vs free-floating tissue, and that staining was faster and caused fracturing earlier in thinner sliced and smaller volumes of tissue.
COMPARISON WITH EXISTING METHODS METHODS
We developed a batch processing approach to increase throughput while ensuring reproducibility and demonstrate the optimal conditions for fine myelinated fiber morphology visualization with short cycles (<9minutes).
CONCLUSIONS CONCLUSIONS
We present our optimized protocol to reveal mesoscale neuroanatomical myelin content in histology across mammals. This standard staining procedure will facilitate multiscale analyses of myelin content across development as well as in the presence of injury or disease.

Identifiants

pubmed: 38626852
pii: S0165-0270(24)00084-0
doi: 10.1016/j.jneumeth.2024.110139
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110139

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest We declare no competing interests.

Auteurs

S Singh (S)

Department of Evolution, Ecology, and Behavior, at the University of Illinois at Urbana-Champaign, 505 South Goodwin Ave, Urbana IL, 61801 United States of America.

L Sutkus (L)

Neuroscience Program, at the University of Illinois at Urbana-Champaign, 505 South Goodwin Ave, Urbana IL, 61801 United States of America.

Z Li (Z)

Neuroscience Program, at the University of Illinois at Urbana-Champaign, 505 South Goodwin Ave, Urbana IL, 61801 United States of America.

S Baker (S)

Machine Shop, at the University of Illinois at Urbana-Champaign, 505 South Goodwin Ave, Urbana IL, 61801 United States of America.

J Bear (J)

Machine Shop, at the University of Illinois at Urbana-Champaign, 505 South Goodwin Ave, Urbana IL, 61801 United States of America.

R N Dilger (RN)

Department of Animal Sciences, at the University of Illinois at Urbana-Champaign, 505 South Goodwin Ave, Urbana IL, 61801 United States of America; Neuroscience Program, at the University of Illinois at Urbana-Champaign, 505 South Goodwin Ave, Urbana IL, 61801 United States of America; Beckman Institute for Advanced Science and Technology, at the University of Illinois at Urbana-Champaign, 505 South Goodwin Ave, Urbana IL, 61801 United States of America.

D J Miller (DJ)

Department of Evolution, Ecology, and Behavior, at the University of Illinois at Urbana-Champaign, 505 South Goodwin Ave, Urbana IL, 61801 United States of America; Neuroscience Program, at the University of Illinois at Urbana-Champaign, 505 South Goodwin Ave, Urbana IL, 61801 United States of America; Beckman Institute for Advanced Science and Technology, at the University of Illinois at Urbana-Champaign, 505 South Goodwin Ave, Urbana IL, 61801 United States of America. Electronic address: millerdj@illinois.edu.

Classifications MeSH