Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2022 Jun 29:16:942462.
doi: 10.3389/fncel.2022.942462. eCollection 2022.

The Shape of μ-How Morphological Analyses Shape the Study of Microglia

Affiliations
Review

The Shape of μ-How Morphological Analyses Shape the Study of Microglia

Lance Fredrick Pahutan Bosch et al. Front Cell Neurosci. .

Abstract

Microglia, the innate immune cells of the CNS parenchyma, serve as the first line of defense in a myriad of neurodevelopmental, neurodegenerative, and neuroinflammatory conditions. In response to the peripheral inflammation, circulating mediators, and other external signals that are produced by these conditions, microglia dynamically employ different transcriptional programs as well as morphological adaptations to maintain homeostasis. To understand these cells' function, the field has established a number of essential analysis approaches, such as gene expression, cell quantification, and morphological reconstruction. Although high-throughput approaches are becoming commonplace in regard to other types of analyses (e.g., single-cell scRNA-seq), a similar standard for morphological reconstruction has yet to be established. In this review, we offer an overview of microglial morphological analysis methods, exploring the advantages and disadvantages of each, highlighting a number of key studies, and emphasizing how morphological analysis has significantly contributed to our understanding of microglial function in the CNS parenchyma. In doing so, we advocate for the use of unbiased, automated morphological reconstruction approaches in future studies, in order to capitalize on the valuable information embedded in the cellular structures microglia inhabit.

Keywords: 3D reconstruction; automated image analysis; electron microscopy; in vivo imaging; microglia; microglia morphology.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Microglia may be morphologically misrepresented depending on imaging technique. (A) Brain tissue containing labeled microglia (i.e., visualization of ground truth). (B) Visualization of microglial morphology following thin sectioning, as required by 2D imaging approaches. Numbers indicate the number of sections produced; black bars indicate borders of obtained tissue sections. Zoom panel showcases a cell that could be misclassified as an activated microglia due to the method of sectioning. (C) Visualization of microglial morphology following thick sectioning, as permitted by 3D imaging approaches. Numbers indicate the number of sections produced; black bars indicate borders of obtained tissue sections. Zoom panel showcases the same cell as in panel (B); however, due to the thicker sectioning, its bipolar branch structure can be accurately represented.

Similar articles

Cited by

References

    1. Abdolhoseini M., Kluge M. G., Walker F. R., Johnson S. J. (2019). Segmentation, Tracing, and Quantification of Microglial Cells from 3D Image Stacks. Sci. Rep. 9:8557. 10.1038/s41598-019-44917-6 - DOI - PMC - PubMed
    1. Achúcarro N. (1909). Cellules Allongées Et Stäbechenzellen: Cellules Neurogliques Et Cellules Granulo-Adipeuses Á La Corne D’ammon Du Lapin. Paris: Nicolás Moya.
    1. Ayoub A. E., Salm A. K. (2003). Increased Morphological Diversity of Microglia in the Activated Hypothalamic Supraoptic Nucleus. J. Neurosci. 23 7759–7766. 10.1523/JNEUROSCI.23-21-07759.2003 - DOI - PMC - PubMed
    1. Bennett M. L., Bennett F. C., Liddelow S. A., Ajami B., Zamanian J. L., Fernhoff N. B., et al. (2016). New tools for studying microglia in the mouse and human CNS. Proc. Natl. Acad. Sci. U.S.A. 113 E1738–E1746. 10.1073/pnas.1525528113 - DOI - PMC - PubMed
    1. Bloomfield P. S., Bonsall D., Wells L., Dormann D., Howes O., De Paola V. (2018). The effects of haloperidol on microglial morphology and translocator protein levels: an in vivo study in rats using an automated cell evaluation pipeline. J. Psychopharmacol. 32 1264–1272. 10.1177/0269881118788830 - DOI - PubMed