Talluri Bhavana, Amar Kshitij, Saul Michael, Shireen Tasnim, Konjufca Vjollca, Ma Jian, Ha Taekjip, Chowdhury Farhan
Biomedical Engineering Program, School of Electrical, Computer, and Biomedical Engineering, Southern Illinois University Carbondale, Carbondale, IL 62901, USA.
Department of Mechanical Engineering and Energy Processes, Southern Illinois University Carbondale, Carbondale, IL 62901, USA.
Biomedicines. 2020 Sep 18;8(9):360. doi: 10.3390/biomedicines8090360.
Soft 3D-fibrin-gel selected tumor repopulating cells (TRCs) from the B16F1 melanoma cell line exhibit extraordinary self-renewal and tumor-regeneration capabilities. However, their biomarkers and gene regulatory features remain largely unknown. Here, we utilized the next-generation sequencing-based RNA sequencing (RNA-seq) technique to discover novel biomarkers and active gene regulatory features of TRCs. Systems biology analysis of RNA-seq data identified differentially expressed gene clusters, including the cell adhesion cluster, which subsequently identified highly specific and novel biomarkers, such as , , , and . We validated the expression of these genes by real-time qPCR. The expression level of was found to be relatively low in TRCs but twenty-fold higher compared to the parental control cell line, thus making the biomarker very specific for TRCs. We validated the COL2A1 protein by immunofluorescence microscopy, showing a higher expression of COL2A1 in TRCs compared to parental control cells. KEGG pathway analysis showed the JAK/STAT, hypoxia, and Akt signaling pathways to be active in TRCs. Besides, the aerobic glycolysis pathway was found to be very active, indicating a typical Warburg Effect on highly tumorigenic cells. Together, our study revealed highly specific biomarkers and active cell signaling pathways of melanoma TRCs that can potentially target and neutralize TRCs.
从B16F1黑色素瘤细胞系中筛选出的软3D纤维蛋白凝胶肿瘤再增殖细胞(TRCs)具有非凡的自我更新和肿瘤再生能力。然而,它们的生物标志物和基因调控特征在很大程度上仍然未知。在此,我们利用基于新一代测序的RNA测序(RNA-seq)技术来发现TRCs的新型生物标志物和活跃的基因调控特征。对RNA-seq数据的系统生物学分析确定了差异表达的基因簇,包括细胞粘附簇,随后鉴定出了高度特异性的新型生物标志物,如 、 、 和 。我们通过实时定量PCR验证了这些基因的表达。发现该基因在TRCs中的表达水平相对较低,但与亲本对照细胞系相比高出20倍,因此该生物标志物对TRCs具有高度特异性。我们通过免疫荧光显微镜验证了COL2A1蛋白,结果显示与亲本对照细胞相比,TRCs中COL2A1的表达更高。KEGG通路分析表明JAK/STAT、缺氧和Akt信号通路在TRCs中活跃。此外,发现有氧糖酵解途径非常活跃,表明在高致瘤性细胞中存在典型的瓦伯格效应。总之,我们的研究揭示了黑色素瘤TRCs的高度特异性生物标志物和活跃的细胞信号通路,这些可能靶向并中和TRCs。