Massoni-Badosa, RamonIacono, GiovanniMoutinho, CatiaKulis, MartaPalau, NúriaMarchese, Domenica, 1986-Rodríguez Ubreva, JavierBallestar, EstebanRodríguez Esteban, GustavoMarsal, SaraAymerich, MartaColomer Pujol, DolorsCampo, EliasJulià Cano, AntoniMartín-Subero, José IgnacioHeyn, Holger2020-10-152020-10-152020Massoni-Badosa R, Iacono G, Moutinho C, Kulis M, Palau N, Marchese D et al. Sampling time-dependent artifacts in single-cell genomics studies. Genome Biol. 2020 May 11; 21(1): 112. DOI: 10.1186/s13059-020-02032-01474-760Xhttp://hdl.handle.net/10230/45489Robust 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.application/pdfeng© Ramon Massoni-Badosa et al 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were madeGenèticaGenòmicainfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1186/s13059-020-02032-0info:eu-repo/semantics/openAccess