The effect of methanol fixation on single-cell RNA sequencing data

Author:

Wang Xinlei,Yu Lei,Wu Angela Ruohao

Abstract

Abstract Background Single-cell RNA sequencing (scRNA-seq) has led to remarkable progress in our understanding of tissue heterogeneity in health and disease. Recently, the need for scRNA-seq sample fixation has emerged in many scenarios, such as when samples need long-term transportation, or when experiments need to be temporally synchronized. Methanol fixation is a simple and gentle method that has been routinely applied in scRNA-sEq. Yet, concerns remain that fixation may result in biases which may change the RNA-seq outcome. Results We adapted an existing methanol fixation protocol and performed scRNA-seq on both live and methanol fixed cells. Analyses of the results show methanol fixation can faithfully preserve biological related signals, while the discrepancy caused by fixation is subtle and relevant to library construction methods. By grouping transcripts based on their lengths and GC content, we find that transcripts with different features are affected by fixation to different degrees in full-length sequencing data, while the effect is alleviated in Drop-seq result. Conclusions Our deep analysis reveals the effects of methanol fixation on sample RNA integrity and elucidates the potential consequences of using fixation in various scRNA-seq experiment designs.

Funder

Hong Kong University of Science and Technology

Hong Kong Research Grants Council Theme-based Research Scheme

Hong Kong RGC Early Career Support Scheme

Research Grants Council, University Grants Committee

Hong Kong Branch of Southern Marine Science and Engineering Guangdong Laboratory

Lo Ka Chung Charitable Foundation

Chau Hoi Shuen Foundation

Hong Kong University of Science and Technology Big Data for Bio Intelligence (BDBI) Laboratory

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Biotechnology

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