Figure 1 | Scientific Reports

Figure 1

From: Identification of a differentiation-related prognostic nomogram based on single-cell RNA sequencing in clear cell renal cell carcinoma

Figure 1

Quality control and filtering of scRNA-seq data. (A) The number of genes detected in 7 ccRCC samples. (B) Sequencing depth in each sample. (C) Content of mitochondria genes in each sample. High levels meant low cell activity. (D) A negative correlation between sequencing depth and mitochondrial gene content in 5 retrieved samples (R = −0.1). (E) A positive correlation between sequencing depth and total intracellular sequences in 5 retrieved samples (R = 0.93). (F) Volcano plot illustrated genes fluctuating in all samples. The first 1,500 genes marked in red had high variations, and the names of the top 10 genes are presented. Our scRNA-seq data is from GEO database (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE159115/).

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