Sampling Time-dependent Artifacts in Single-cell Genomics Studies

Overview

Journal Genome Biol

Specialties Biology
Genetics

Date 2020 May 13

PMID 32393363

Citations 37

Authors

Ramon Massoni-Badosa

Giovanni Iacono

Catia Moutinho

Marta Kulis

Nuria Palau

Domenica Marchese

Javier Rodriguez-Ubreva

Esteban Ballestar

Gustavo Rodriguez-Esteban

Sara Marsal

Marta Aymerich

Dolors Colomer

Elias Campo

Antonio Julia

Jose Ignacio Martin-Subero

Holger Heyn

Affiliations

Soon will be listed here.

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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