Literature DB >> 34395729

Isolation of Microglia and Analysis of Protein Expression by Flow Cytometry: Avoiding the Pitfall of Microglia Background Autofluorescence.

Jeremy C Burns1,2, Richard M Ransohoff3, Michaël Mingueneau1.   

Abstract

Microglia are a unique type of tissue-resident innate immune cell found within the brain, spinal cord, and retina. In the healthy nervous system, their main functions are to defend the tissue against infectious microbes, support neuronal networks through synapse remodeling, and clear extracellular debris and dying cells through phagocytosis. Many existing microglia isolation protocols require the use of enzymatic tissue digestion or magnetic bead-based isolation steps, which increase both the time and cost of these procedures and introduce variability to the experiment. Here, we report a protocol to generate single-cell suspensions from freshly harvested murine brains or spinal cords, which efficiently dissociates tissue and removes myelin debris through simple mechanical dissociation and density centrifugation and can be applied to rat and non-human primate tissues. We further describe the importance of including empty channels in downstream flow cytometry analyses of microglia single-cell suspensions to accurately assess the expression of protein targets in this highly autofluorescent cell type. This methodology ensures that observed fluorescence signals are not incorrectly attributed to the protein target of interest by appropriately taking into account the unique autofluorescence of this cell type, a phenomenon already present in young animals and that increases with aging to levels that are comparable to those observed with antibodies against highly abundant antigens.
Copyright © The Authors; exclusive licensee Bio-protocol LLC.

Entities:  

Keywords:  Autofluorescence; Flow cytometry; Microglia isolation; Neuroimmunology; Neuroscience

Year:  2021        PMID: 34395729      PMCID: PMC8329471          DOI: 10.21769/BioProtoc.4091

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  10 in total

Review 1.  Microglia in Health and Disease.

Authors:  Richard M Ransohoff; Joseph El Khoury
Journal:  Cold Spring Harb Perspect Biol       Date:  2015-09-09       Impact factor: 10.005

2.  Impact of enzymatic tissue disintegration on the level of surface molecule expression and immune cell function.

Authors:  A Autengruber; M Gereke; G Hansen; C Hennig; D Bruder
Journal:  Eur J Microbiol Immunol (Bp)       Date:  2012-06-13

Review 3.  Microglia and macrophages in brain homeostasis and disease.

Authors:  Qingyun Li; Ben A Barres
Journal:  Nat Rev Immunol       Date:  2017-11-20       Impact factor: 53.106

4.  Differential accumulation of storage bodies with aging defines discrete subsets of microglia in the healthy brain.

Authors:  Jeremy Carlos Burns; Bunny Cotleur; Dirk M Walther; Bekim Bajrami; Stephen J Rubino; Ru Wei; Nathalie Franchimont; Susan L Cotman; Richard M Ransohoff; Michael Mingueneau
Journal:  Elife       Date:  2020-06-24       Impact factor: 8.140

Review 5.  Alzheimer's Disease: The Role of Microglia in Brain Homeostasis and Proteopathy.

Authors:  Kevin A Clayton; Alicia A Van Enoo; Tsuneya Ikezu
Journal:  Front Neurosci       Date:  2017-12-12       Impact factor: 4.677

6.  Microglial SIRPα regulates the emergence of CD11c+ microglia and demyelination damage in white matter.

Authors:  Miho Sato-Hashimoto; Tomomi Nozu; Riho Toriba; Ayano Horikoshi; Miho Akaike; Kyoko Kawamoto; Ayaka Hirose; Yuriko Hayashi; Hiromi Nagai; Wakana Shimizu; Ayaka Saiki; Tatsuya Ishikawa; Ruwaida Elhanbly; Takenori Kotani; Yoji Murata; Yasuyuki Saito; Masae Naruse; Koji Shibasaki; Per-Arne Oldenborg; Steffen Jung; Takashi Matozaki; Yugo Fukazawa; Hiroshi Ohnishi
Journal:  Elife       Date:  2019-03-26       Impact factor: 8.140

Review 7.  Protective Microglial Subset in Development, Aging, and Disease: Lessons From Transcriptomic Studies.

Authors:  Anouk Benmamar-Badel; Trevor Owens; Agnieszka Wlodarczyk
Journal:  Front Immunol       Date:  2020-04-03       Impact factor: 7.561

8.  MOG autoantibodies trigger a tightly-controlled FcR and BTK-driven microglia proliferative response.

Authors:  Kathryn Pellerin; Stephen J Rubino; Jeremy C Burns; Benjamin A Smith; Christie-Ann McCarl; Jing Zhu; Luke Jandreski; Patrick Cullen; Thomas M Carlile; Angela Li; Jorge Vera Rebollar; Jennifer Sybulski; Taylor L Reynolds; Baohong Zhang; Rebecca Basile; Hao Tang; Chelsea Parker Harp; Alex Pellerin; John Silbereis; Nathalie Franchimont; Ellen Cahir-McFarland; Richard M Ransohoff; Thomas O Cameron; Michael Mingueneau
Journal:  Brain       Date:  2021-09-04       Impact factor: 13.501

9.  Dissociation of solid tumor tissues with cold active protease for single-cell RNA-seq minimizes conserved collagenase-associated stress responses.

Authors:  Ciara H O'Flanagan; Kieran R Campbell; Allen W Zhang; Farhia Kabeer; Jamie L P Lim; Justina Biele; Peter Eirew; Daniel Lai; Andrew McPherson; Esther Kong; Cherie Bates; Kelly Borkowski; Matt Wiens; Brittany Hewitson; James Hopkins; Jenifer Pham; Nicholas Ceglia; Richard Moore; Andrew J Mungall; Jessica N McAlpine; Sohrab P Shah; Samuel Aparicio
Journal:  Genome Biol       Date:  2019-10-17       Impact factor: 13.583

10.  Enzymatic Dissociation Induces Transcriptional and Proteotype Bias in Brain Cell Populations.

Authors:  Daniele Mattei; Andranik Ivanov; Marc van Oostrum; Stanislav Pantelyushin; Juliet Richetto; Flavia Mueller; Michal Beffinger; Linda Schellhammer; Johannes Vom Berg; Bernd Wollscheid; Dieter Beule; Rosa Chiara Paolicelli; Urs Meyer
Journal:  Int J Mol Sci       Date:  2020-10-26       Impact factor: 5.923

  10 in total

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