Journal: iScience

Article Title: KRT15 identified by scRNA-Seq and machine learning as stemness regulator and prognostic biomarker in ESCC

doi: 10.1016/j.isci.2026.115020

Figure Lengend Snippet: KRT15 is enriched in ESCC tumor spheroids and positively correlates with the stemness marker CD44 (A) Stem cell enrichment experiments performed in four cell lines, with images captured over time. (B and C) qPCR analysis of CD44 and KRT15 mRNA expression in tumorspheres versus adherent cells from ECA109, KYSE180, KYSE150, and TE1 cell lines. n = 3, statistical analysis performed using an unpaired t test. Data are represented as mean ± SEM. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001. (D) Western blot analysis of CD44 and KRT15 protein expression in tumor spheres compared to adherent cells in ECA109 and KYSE180 cell lines.

Article Snippet: CD44 Polyclonal antibody , Proteintech , Cat#15675-1-AP; RRID: AB_2076198.

Techniques: Marker, Expressing, Western Blot

Journal: iScience

Article Title: KRT15 identified by scRNA-Seq and machine learning as stemness regulator and prognostic biomarker in ESCC

doi: 10.1016/j.isci.2026.115020

Figure Lengend Snippet: KRT15-mediated stemness in ESCC cells is associated with MYC pathway activation and involves upregulation of stemness markers (A) The significantly enriched hallmark pathways identified by GSEA of differentially expressed genes in cluster 0. (B) The GSEA enrichment plot demonstrates a significant enrichment of the MYC_TARGETS_V1 gene set. (C and D) WB results showed that when KRT15 was overexpressed, c-MYC protein levels were synergistically upregulated alongside stemness markers (CD44, SOX2, OCT4); conversely, when KRT15 was knocked down, all these markers exhibited a downward trend.

Article Snippet: CD44 Polyclonal antibody , Proteintech , Cat#15675-1-AP; RRID: AB_2076198.

Techniques: Activation Assay