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Tool

BEHAVIORAL GUIDED TRANSCRIPTOMICS

Behavior-Guided Transcriptomics (BGT) is an extension of the BEHAV3D platform that links T cell live imaging with single-cell transcriptomics to identify gene programs associated with dynamic T cell behaviors. BGT leverages BEHAV3D-processed imaging data to guide experimental design, enabling separation of T cells based on their engagement with patient-derived organoids (PDOs), followed by fluorescence-activated cell sorting (FACS) and single-cell RNA sequencing (scRNA-seq). In addition, BGT employs in silico simulations to computationally infer T cell behaviors from scRNA-seq profiles, uncovering biomarkers that distinguish highly functional from ineffective T cells. This integrated approach provides a powerful framework for understanding T cell functional heterogeneity and offers actionable insights for improving immunotherapy efficacy.

Basic Information

Repository https://github.com/imAIgene-Dream3D/BGT/
Documentation https://github.com/imAIgene-Dream3D/BGT/blob/HEAD/README.md
Main publication (DOI) 10.1038/s41596-024-01126-4 view
Contact email malieva@iib.uam.es
Authors/Maintainers Maria Alieva
Type of application Jupyter notebook
Programming languages R
Keywords Omics, Computational Methods, Resources, Transcriptomics, Data Analysis, Bioinformatics Software and Tools, Analysis packages (R, Python, etc.), Data Visualization, Functional genomics, Function prediction, Systems Biology, Integrative Analysis, Image analysis, Single-cell (scRNA-seq)

Technical details

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Software compatibility Linux, Windows
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Type of containerization Singularity/AppTainer
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Citations (last 12 months) <100 (~3 as of 15/10/2026)
Citations (since first release) <100 (7 as of 15/10/2026)
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