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. 2024 Oct 29;28(20):e70177. doi: 10.1111/jcmm.70177

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© 2024 The Author(s). Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd.

This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Processing of single cell data. (A) Correlation plots of nFeature_RNA, nCount_RNA, and percent.mt for each cell in the two samples, and nCount_RNA versus percent.mt and nFeature_RNA for each cell. (B) PCA plots of highly variable genes. elbowplot to determine the most appropriate number of principal components. PCA plot of cell cycle genes. Highly variable genes with top ranked standard deviation. UMAP plot after performing dimensionality reduction clustering (C) Cells contained in each cell subpopulation and percentage. (D) Characterized genes in the top nine principal components.