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WILD-seq: Clonal deconvolution of transcriptomic signatures of sensitivity and resistance to cancer therapeutics in vivo

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NIAID Data Ecosystem2026-03-13 收录
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https://www.ncbi.nlm.nih.gov/bioproject/PRJNA797918
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Tumour heterogeneity is thought to be a major barrier to successful cancer treatment due to the presence of drug resistant clonal lineages. However, identifying the characteristics of such lineages that underpin resistance to therapy has remained challenging. Here we present WILD-seq; Wholistic Interrogation of Lineage Dynamics by sequencing, a platform that leverages expressed barcodes to simultaneously map clonal identities and transcriptional states at single cell resolution. Our optimised pipeline ensures recurrent representation of clonal lineages across animals and samples, facilitating analysis of clonal dynamics under perturbation. Application of WILD-seq to two triple negative mammary carcinoma mouse models, identified changes in clonal abundance, gene expression and microenvironment in response to JQ1 or taxane chemotherapy. WILD-seq reveals oxidative stress protection as a major mechanism of taxane resistance that renders our tumour models collaterally sensitive to non-essential amino acid deprivation. In summary, WILD-seq enables facile coupling of lineage and gene expression in vivo to elucidate clone-specific pathways of resistance to cancer therapies.
创建时间:
2022-01-17
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