Transcriptomics

Dataset Information

0

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

Dataset's files

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

Similar Datasets

2016-09-08 | E-GEOD-66244 | biostudies-arrayexpress
2016-09-08 | E-GEOD-66087 | biostudies-arrayexpress
2016-09-08 | GSE66087 | GEO
| PRJNA276180 | ENA
2016-09-08 | GSE66245 | GEO
2016-09-08 | E-GEOD-66245 | biostudies-arrayexpress
2023-02-15 | PXD029647 | Pride
2023-03-17 | PXD038620 | Pride
2022-03-01 | PXD016388 | Pride
2015-06-16 | GSE67175 | GEO