Transcriptome analysis of highly metastatic cell line
收藏NIAID Data Ecosystem2026-03-10 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE21328
下载链接
链接失效反馈官方服务:
资源简介:
A prediction of peritoneal recurrence is of significance using metastasis-related biomarker. This work describes a combined analysis of proteome and transcriptome data for biomarker discovery in highly metastatic cell line. We used nano-flow liquid chromatography (LC) linear ion trap time-of-flight mass spectrometry (LIT-TOF MS) and cDNA microarray to identify specific protein differentially expressed between a highly metastatic stomach cancer cell line MKN-45-P and its parental cell line MKN-45. In total, 240 proteins were found to be expressed between the two cell lines. Of these, 75 proteins (31%) and 49 proteins (20%) were only identified from MKN-45-P and MKN-45 respectively. An mRNA expression of 1533 genes was up-regulated in MKN-45-P compared with MKN-45. No close correlation was found between proteomic and transcriptomic analysis. Interestingly, 4 of 240 proteins (1.6%) were involved in the up-regulated mRNA expression. Comparison analysis of gene expression between highly metastatic gastric cancer cell line MKN-45-P and its parental cell line MKN-45.
创建时间:
2018-02-22



