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Comment
. 2022 May 12;13(1):2718.
doi: 10.1038/s41467-022-30230-w.

Variant calling from scRNA-seq data allows the assessment of cellular identity in patient-derived cell lines

Daniele Ramazzotti  1 , Fabrizio Angaroni  2 , Davide Maspero  2   3 , Gianluca Ascolani  2 , Isabella Castiglioni  4 , Rocco Piazza  1   5 , Marco Antoniotti  2   5 , Alex Graudenzi  6   7   8
Affiliations
Comment

Variant calling from scRNA-seq data allows the assessment of cellular identity in patient-derived cell lines

Daniele Ramazzotti et al. Nat Commun. .
No abstract available

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Analysis of single-cell mutational and gene expression profiles of patient-derived OSCC cell lines from scRNA-seq data.
A The heatmap including the mutational profiles of all single cells of the HN120 and HN137 datasets is displayed (-P: primary line, -M: metastatic line, -CR: after cisplatin treatment, -CRDH: after drug-holiday). Red entries mark cells displaying a given SNV. For the ID of single cells and SNVs please refer to Supplementary Data 1 and 2. B The t-SNE plot generated from the gene expression profiles of all single cells for all datasets is shown (see the SI for additional details). C The distribution of the expression level of VIM on all single cells is shown with boxplots for all datasets.
See this image and copyright information in PMC

Comment on

References

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