4.7 Article

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

期刊

BMC GENOMICS
卷 22, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12864-021-07744-6

关键词

Single Cell RNA-seq; Methanol fixation; Smarts-seq2; Drop-seq

资金

  1. HKUST [R9364]
  2. Hong Kong Research Grants Council [RGC ECS 26101016, GRF 16101118, TBRS T12-704/16R-2, CRF C6002-17G, C4001-18G]
  3. Hong Kong University of Science and Technology Big Data for Bio Intelligence Laboratory (BDBI)
  4. Lo Ka Chung Foundation through the Hong Kong Epigenomics Project
  5. Chau Hoi Shuen Foundation
  6. Hong Kong Branch of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) [SMSEGL20SC01]

向作者/读者索取更多资源

This study demonstrates that methanol fixation can faithfully preserve biological signals in scRNA-seq, with the effects of fixation being subtle and related to library construction methods. Transcript length and GC content play a role in how fixation affects transcripts in full-length sequencing data, while this effect is alleviated in Drop-seq results.
BackgroundSingle-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.ResultsWe 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.ConclusionsOur 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.

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