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0The paper describe Perturb-DBiT, a novel biotechnology designed for spatially resolved CRISPR screening within intact tissue environments. By utilizing microfluidic barcoding, the method simultaneously sequences single guide RNAs (sgRNAs) and the total transcriptome, including both coding and noncoding RNAs. This approach allows researchers to link specific genetic edits to changes in cellular phenotypes and gene regulation without losing the spatial context of the tissue. The study demonstrates the platform's effectiveness in tumor models, successfully identifying genetic drivers of metastatic colonization and immune evasion. Furthermore, integration with machine learning frameworks like iStar enables near-single-cell resolution, revealing how clonal populations interact within the tumor microenvironment. Ultimately, the sources highlight Perturb-DBiT as a powerful tool for understanding the molecular mechanisms governing complex biological systems in situ.
References:
Baysoy A, Tian X, Renauer P, et al. Large-scale, spatially resolved panoramic CRISPR screening in native tissue environments using Perturb-DBiT[J]. Nature Biotechnology, 2026: 1-14.
