ArticleGenome research2020
Agonist-induced functional analysis and cell sorting associated with single-cell transcriptomics characterizes cell subtypes in normal and pathological brain.
Article in Genome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Compensatory Regulation of Excitation/Inhibition Balance in the Ventral Hippocampus: Insights from Fragile X Syndrome.Biology · 2025Review
- Analysis of Store-Operated CaMethods in molecular biology (Clifton, N.J.) · 2025Article
- Editorial: Innovative approaches and therapeutic perspectives for early-onset neurodevelopmental disorders: from bench to bedside.Frontiers in neuroscience · 2024Article
- Fragile X Syndrome as an interneuronopathy: a lesson for future studies and treatments.Frontiers in neuroscience · 2023Review
- Maturation Delay of Human GABAergic Neurogenesis in Fragile X Syndrome Pluripotent Stem Cells.Stem cells translational medicine · 2022Article
- Single cell transcriptomics reveals dysregulated cellular and molecular networks in a fragile X syndrome model.PLoS genetics · 2022Article
- Role of phosphodiesterases in the pathophysiology of neurodevelopmental disorders.Molecular psychiatry · 2021Review
- Rett Syndrome and Fragile X Syndrome: Different Etiology With Common Molecular Dysfunctions.Frontiers in cellular neuroscience · 2021Review
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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
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Registered trials
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 Socratic graph.