Transcriptomics

Dataset Information

0

Transcriptome analysis of highly metastatic cell line


ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE21328 | GEO | 2010/06/01

SECONDARY ACCESSION(S): PRJNA126177

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2010-06-08 | E-GEOD-21328 | biostudies-arrayexpress
2024-06-09 | GSE234584 | GEO
2021-07-12 | GSE134195 | GEO
2023-10-24 | PXD042044 | Pride
2018-11-20 | GSE106874 | GEO
2015-02-12 | E-GEOD-65854 | biostudies-arrayexpress
2024-07-25 | GSE267811 | GEO
2015-06-26 | E-GEOD-70292 | biostudies-arrayexpress
2021-08-18 | GSE174442 | GEO
2021-04-23 | GSE161961 | GEO