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Dataset Information

Integrated glycomic analysis of ovarian cancer side population cells.


ABSTRACT:

Background

Ovarian cancer is the most lethal gynecological malignancy due to its frequent recurrence and drug resistance even after successful initial treatment. Accumulating scientific evidence indicates that subpopulations of cancer cells with stem cell-like properties, such as so-called side population (SP) cells, are primarily responsible for these recurrences. A better understanding of SP cells may provide new clues for detecting and targeting these cancer-initiating cells and ultimately help to eradicate cancer. Changes in glycosylation patterns are remarkable features of SP cells. Here, we isolated SP cells from ovarian cancer cell lines and analyzed their glycosylation patterns using multiple glycomic strategies.

Methods

Six high-grade serous ovarian cancer cell line

SUBMITTER: Zhao R 

PROVIDER: S-EPMC5103398 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature