bioRxivGenomicsPreprint
SpaceBar enables clone tracing in spatial transcriptomic data
Grant KinsleriD, Caitlin Fagan, Haiyin LiiD, Jessica KasteriD, Maggie Dunne, Robert Vander VeldeiD, Ryan H. BoeiD, Sydney M. ShafferiD, Meenhard HerlyniD, Arjun RajiD, Yael HeymaniD
Abstract
We report a cellular barcoding strategy, SpaceBar, that enables simultaneous clone tracing and spatial transcriptomics profiling. Our approach uses a library of 96 synthetic barcode sequences that can be robustly detected by imaging based spatial transcriptomics (seqFISH), delivered such that each cell is labeled with a combination of barcodes. We used these barcodes to label melanoma cells in a tumor xenograft model and profiled both clone identity and spatial gene expression in situ. We developed a gene scoring metric that quantifies how strongly gene expression is driven by intrinsic cellular cues or extrinsic environmental signals. Our framework distinguishes between clonal dynamics and environmentally-driven transcriptional regulation in complex tissue contexts.
- organism: mouse
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 2
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