bioRxivGenomicsPreprint
Sampling artifacts in single-cell genomics cohort studies
Ramon Massoni-BadosaiD, Giovanni Lo IaconoiD, Cátia MoutinhoiD, Marta KulisiD, Núria Palau, Doménica MarcheseiD, Javier Rodríguez‐UbrevaiD, Esteban BallestariD, Gustavo Rodríguez-EstebaniD, Sara MarsaliD, Marta AymerichiD, Dolors ColomeriD, Elı́as CampoiD, Antonio JuliàiD, José Ignacio Martín-SuberoiD, Holger HeyniD
Abstract
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.
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