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Castagnola S, Cazareth J, Lebrigand K, Jarjat M, Magnone V, Delhaye S, Brau F, Bardoni B, Maurin T. Agonist-induced functional analysis and cell sorting associated with single-cell transcriptomics characterizes cell subtypes in normal and pathological brain. Genome Res 2020; 30:1633-1642. [PMID: 32973039 PMCID: PMC7605246 DOI: 10.1101/gr.262717.120] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 09/23/2020] [Indexed: 12/31/2022]
Abstract
To gain better insight into the dynamic interaction between cells and their environment, we developed the agonist-induced functional analysis and cell sorting (aiFACS) technique, which allows the simultaneous recording and sorting of cells in real-time according to their immediate and individual response to a stimulus. By modulating the aiFACS selection parameters, testing different developmental times, using various stimuli, and multiplying the analysis of readouts, it is possible to analyze cell populations of any normal or pathological tissue. The association of aiFACS with single-cell transcriptomics allows the construction of functional tissue cartography based on specific pharmacological responses of cells. As a proof of concept, we used aiFACS on the dissociated mouse brain, a highly heterogeneous tissue, enriching it in interneurons by stimulation with KCl or with AMPA, an agonist of the glutamate receptors, followed by sorting based on calcium levels. After AMPA stimulus, single-cell transcriptomics of these aiFACS-selected interneurons resulted in a nine-cluster classification. Furthermore, we used aiFACS on interneurons derived from the brain of the Fmr1-KO mouse, a rodent model of fragile X syndrome. We showed that these interneurons manifest a generalized defective response to AMPA compared with wild-type cells, affecting all the analyzed cell clusters at one specific postnatal developmental time.
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Affiliation(s)
- Sara Castagnola
- Université Côte d'Azur, CNRS, Institute of Molecular Cellular Pharmacology, F-06560 Valbonne, France
| | - Julie Cazareth
- Université Côte d'Azur, CNRS, Institute of Molecular Cellular Pharmacology, F-06560 Valbonne, France
| | - Kevin Lebrigand
- Université Côte d'Azur, CNRS, Institute of Molecular Cellular Pharmacology, F-06560 Valbonne, France
| | - Marielle Jarjat
- Université Côte d'Azur, CNRS, Institute of Molecular Cellular Pharmacology, F-06560 Valbonne, France
| | - Virginie Magnone
- Université Côte d'Azur, CNRS, Institute of Molecular Cellular Pharmacology, F-06560 Valbonne, France
| | - Sébastien Delhaye
- Université Côte d'Azur, CNRS, Institute of Molecular Cellular Pharmacology, F-06560 Valbonne, France
| | - Frederic Brau
- Université Côte d'Azur, CNRS, Institute of Molecular Cellular Pharmacology, F-06560 Valbonne, France
| | - Barbara Bardoni
- Université Côte d'Azur, INSERM, CNRS, Institute of Molecular Cellular Pharmacology, F-06560 Valbonne, France
| | - Thomas Maurin
- Université Côte d'Azur, CNRS, Institute of Molecular Cellular Pharmacology, F-06560 Valbonne, France
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