Transcriptomics

Dataset Information

Identification of expresion patterns after treatment with GC/RA and combination with AZA/SAHA in MYC amplified and BRG1 mutant lung cancer cell lines


ABSTRACT: To development our gene expression approach , we have employed whole genome microarray expression profiling as a discovery platform to identify genes potentialy regulated by the treatment with glucocorticoids (GC) and retinoic acid (RA) alone and combined with AZA/SAHA and the relationship of these features with the status of BRG1 and MYC in lung cancer cell lines.

ORGANISM(S): Homo sapiens

PROVIDER: GSE66244 | GEO | 2016/09/08

SECONDARY ACCESSION(S): PRJNA276246

REPOSITORIES: GEO

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