Transcriptomics

Dataset Information

0

Network Biology of Tumor Stem-like Cells Identified a Regulatory Role of CBX5 in Lung Cancer


ABSTRACT: Mounting evidence points to a link between a cancer possessing stem-like properties and a worse prognosis. To understand the biology, a common approach is to integrate network biology with signal processing mechanics. That said, even with the right tools, predicting the risk for a highly susceptible target using only a handful of gene signatures remains very difficult. By compiling the expression profiles of a panel of tumor stem-like cells (TSLCs) originating in different tissues, comparing these to their parental tumor cells (PTCs) and the human embryonic stem cells (hESCs), and integrating network analysis with signaling mechanics, we propose that network topologically-weighted signaling processing measurements under tissue-specific conditions can provide scalable and predicable target identification. All function codes related to this project could be accessed at the supplementary website.

ORGANISM(S): Homo sapiens

PROVIDER: GSE35603 | GEO | 2012/08/17

SECONDARY ACCESSION(S): PRJNA152527

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2012-08-17 | E-GEOD-35603 | biostudies-arrayexpress
2014-07-19 | GSE59588 | GEO
2021-09-07 | GSE158017 | GEO
2016-11-01 | GSE66463 | GEO
| PRJNA229159 | ENA
| PRJNA229538 | ENA
2018-03-01 | E-MTAB-5194 | biostudies-arrayexpress
2024-09-11 | GSE276968 | GEO
| PRJEB21364 | ENA
2021-05-07 | PXD018352 | Pride