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PLX290938
GSE132065: Sampling time-dependent artifacts in single-cell genomics studies
- Organsim human
- Type RNASEQ
- Target gene
- Project ARCHS4
Robust protocols and automation now enable large-scale single-cell RNA and ATAC sequencing experiments and their application on biobank and clinical cohorts. However, technical biases introduced during sample acquisition can hinder solid, reproducible results and a systematic benchmarking is required before entering large-scale data production. Here, we report the existence and extent of gene expression and chromatin accessibility artifacts introduced during sampling and identify experimental and computational solutions for their prevention. SOURCE: Gustavo Rodriguez-Esteban (gustavo.rodriguez@cnag.crg.eu) - Single Cell Genomics Centro Nacional de Análisis Genómico
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