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Fig. 1 | BMC Genomics

Fig. 1

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

Fig. 1

Basic evaluation of fixation effect on sequencing data. (A) Workflow and experimental scheme (B) Size distributions of cDNA libraries. Traces from single-cell libraries were merged to obtain a general pattern for live (left) and fixed (right) samples. Although the intensity of the ~ 1500 bp peak (pointed by arrow on size axis) is diminished in fixed cells, there is no visible degradation. (C) Correlation matrix showing the transcriptome similarity of cells randomly chosen from live and fixed samples. The upper triangle of the matrix shows the Pearson correlation coefficient and the bottom triangle visualized correlation trend. Correlations are consistently high for both inter- and intra-treatment comparisons of live vs. fixed. There is no obvious bias revealed by measuring correlation between single-cell transcriptomes for all pairwise comparisons. (D) Correlation factors of all single cells were calculated pairwise and clustered by Euclidean distance. Correlations are consistently high for both inter- and intra-treatment comparisons of live vs. fixed (R2 > 0.7). The mixed annotation bar indicates the transcriptome similarities do not distinguish cell treatments during sample preparation

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