FB2026_02 , released June 18, 2026
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Citation
Blanco Mendana, J., Donovan, M., O'Brien, L.G., Auch, B., Garbe, J., Gohl, D.M. (2025). Deterministic genetic barcoding for multiplexed behavioral and single-cell transcriptomic studies.  eLife 12(): RP88334.
FlyBase ID
FBrf0261578
Publication Type
Research paper
Abstract
Advances in single-cell sequencing technologies have provided novel insights into the dynamics of gene expression and cellular heterogeneity within tissues and have enabled the construction of transcriptomic cell atlases. However, linking anatomical information to transcriptomic data and positively identifying the cell types that correspond to gene expression clusters in single-cell sequencing data sets remains a challenge. We describe a straightforward genetic barcoding approach that takes advantage of the powerful genetic tools in Drosophila to allow in vivo tagging of defined cell populations. This method, called Targeted Genetically-Encoded Multiplexing (TaG-EM), involves inserting a DNA barcode just upstream of the polyadenylation site in a Gal4-inducible UAS-GFP construct so that the barcode sequence can be read out during single-cell sequencing, labeling a cell population of interest. By creating many such independently barcoded fly strains, TaG-EM enables positive identification of cell types in cell atlas projects, identification of multiplet droplets, and barcoding of experimental timepoints, conditions, and replicates. Furthermore, we demonstrate that TaG-EM barcodes can be read out using next-generation sequencing to facilitate population-scale behavioral measurements. Thus, TaG-EM has the potential to enable large-scale behavioral screens in addition to improving the ability to multiplex and reliably annotate single-cell transcriptomic experiments.
PubMed ID
PubMed Central ID
PMC11798575 (PMC) (EuropePMC)
Related Publication(s)
Personal communication to FlyBase

Barcoded constructs and insertions from D. Gohl.
Gohl, 2023.7.12, Barcoded constructs and insertions from D. Gohl. [FBrf0257013]

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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    eLife
    Title
    eLife
    ISBN/ISSN
    2050-084X
    Data From Reference
    Alleles (18)
    Genes (6)
    Insertions (20)
    Experimental Tools (3)
    Transgenic Constructs (38)