BioGPS
  • Home
  • Help
  • Plugins
  • Datasets
  • Sign Up
  • Login
Examples: Gene Symbol(s), Gene Ontology, Splicing plugins, Melanoma datasets
advanced
Home › Dataset Library › Expression data from two breast cancer cell lines

Dataset: Expression data from two breast cancer cell lines

During cancer progression, carcinoma cells encounter a variety of cytotoxic stresses such as hypoxia, nutrient deprivation, and low pH as...

Registered by ArrayExpress Uploader
View Dataset

During cancer progression, carcinoma cells encounter a variety of cytotoxic stresses such as hypoxia, nutrient deprivation, and low pH as a result of inadequate vascularization. To maintain survival and growth in the face of these physiologic stressors, a set of adaptive response pathways are induced. One adaptive pathway well studied in other contexts is the unfolded protein response (UPR), of which XBP1 is an important component. We used microarrays to detect transcriptome profile changes after XBP1 knockdown in breast cancer cell lines, and identify genes and pathways regulated by XBP1, which could help elucidate how XBP1 mediates the adaptive response of breast cancer to cytotoxic stresses. We extracted RNA and hybridized it to Affymetrix microarrays in two breast cancer cell lines (T47D and MDA-MB-231) under treated (hypoxia and glucose deprivation) or untreated conditions with XBP1 knockdown or not.

Species:
human

Samples:
16

Source:
E-GEOD-49953

Updated:
Dec.12, 2014

Registered:
Jul.11, 2014


Factors: (via ArrayExpress)
Sample CELL LINE
GSM1210738 MDA-MB-231
GSM1210738 MDA-MB-231
GSM1210738 MDA-MB-231
GSM1210738 MDA-MB-231
GSM1210738 MDA-MB-231
GSM1210738 MDA-MB-231
GSM1210738 MDA-MB-231
GSM1210738 MDA-MB-231
GSM1210730 T47D
GSM1210730 T47D
GSM1210730 T47D
GSM1210730 T47D
GSM1210730 T47D
GSM1210730 T47D
GSM1210730 T47D
GSM1210730 T47D

Tags

  • breast
  • breast cancer
  • cancer
  • carcinoma
  • cell
  • face
  • glucose
  • protein

Other Formats

JSON    XML
  • About
  • Blog
  • Help
  • FAQ
  • Downloads
  • API
  • iPhone App
  • Email updates
© 2023 The Scripps Research Institute. All rights reserved. (ver 94eefe6 )
  • Terms of Use