Project description:Transcriptional profiling of human epidermoid carcinoma cell comparing control A431-P cells with highly invasive subline A431-III cells No treatmentt, A431-P cells vs. A431-III cells. A431-P cells are used as a reference to invstigate A431-III cells.
Project description:Transcriptional profiling of human epidermoid carcinoma cell comparing control A431-P cells with highly invasive subline A431-III cells
Project description:TCF4 was silenced in cutaneous squamous cell carcinoma of A431 cells, and detected the mRNA profiles compared to the negative control and blank control.
Project description:Three isogenic HNC cell sublines with highly invasive properties were established. Invasion-associated genes were identified by comparison of transcriptomic profiles between HNC parental cell lines and the invasive sublines via Affymetrix cDNA microarrays. We used cDNA microarray to compare gene expression of invasion subline cells and parental cells in head and neck cancer.
Project description:MicroRNAs are noncoding, endogenous small RNAs that regulate target genes by cleavage of the targeted mRNA or translational repression. We investigated the microRNAome using 2-color microarrays in a highly invasive human breast cancer cell line, MDA-MB-231 (sub line 4175) and a non-invasive breast epithelial cell line, MCF10A. We found 13 miRNAs that were up-regulated and 9 were down-regulated significantly in 4175 cells (p <0.05, fold change >2) compared with MCF10A cells. We compared the highly metastatic human breast cell lines MDA-MB-231 (4175 subline) with non-metastatic MCF10A cell lines. Two 4175 sublines and two MCF10A cell lines, independently grown and harvested. Dye swap was performed.
Project description:Metastasis to cervical lymph nodes of oral squamous cell carcinoma (OSCC) leads to a poor prognosis. The present study aimed at investigating the pathways and molecules associated with OSCC metastasis. The transcriptome between HSC-3 cells and their highly metastatic subline, HSC-3-M3 cells, was examined using gene expression microarray.
