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Sampling time-dependent artifacts in single-cell genomics studies
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DOI：10.1186/s13059-020-02032-0.png)
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Abstract
En 中文
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.
Keywords:
Single-cell
Biobank
RNA sequencing
Peripheral blood mononuclear cells
PBMC
Chronic lymphocytic leukemia
CLL
Sampling
Cryopreservation
Benchmarking
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