BioGPS
  • Home
  • Help
  • Plugins
  • Datasets
  • Sign Up
  • Login
Examples: Gene Symbol(s), Gene Ontology, Splicing plugins, Melanoma datasets
advanced
Home › Dataset Library › In vivo NCL-targeting affects breast cancer aggressiveness through miRNA regulation [Affymetrix]

Dataset: In vivo NCL-targeting affects breast cancer aggressiveness through miRNA regulation [Affymetrix]

Numerous studies have described the altered expression and the causal role of miRNAs in human cancer. However, to date efforts to...

Registered by ArrayExpress Uploader
View Dataset

Numerous studies have described the altered expression and the causal role of miRNAs in human cancer. However, to date efforts to modulate miRNA levels for therapeutic purposes have been challenging to implement. Here, we find that Nucleolin (NCL), a major nucleolar protein, post-transcriptionally regulates the expression of a specific subset of miRNAs, including miR-21, miR-221, miR-222, and miR-103, causally involved in breast cancer initiation, progression and drug-resistance. We also show that NCL is commonly overexpressed in human breast tumors, and its expression correlates with that of NCL-dependent miRNAs. Finally, this study indicates that NCL-binding guanosine-rich aptamers affect the levels of NCL-dependent miRNAs and their target genes, reducing breast cancer cell aggressiveness, both in vitro and in vivo. These findings illuminate a path to novel therapeutic approaches based on NCL-targeting aptamers for the modulation of miRNA expression in the treatment of breast cancer. MCF7 cells were treated with the control drug or AS1411 aptamer. After 72hours total RNA was collected and analyzed by Affymetrix U133 plus.

Species:
human

Samples:
6

Source:
E-GEOD-41972

Updated:
Dec.12, 2014

Registered:
Jul.12, 2014


Factors: (via ArrayExpress)
Sample
GSM1029380 1
GSM1029379 1
GSM1029378 1
GSM1029377 1
GSM1029376 1
GSM1029375 1

Tags

  • breast
  • breast cancer
  • cancer
  • cell
  • protein

Other Formats

JSON    XML
  • About
  • Blog
  • Help
  • FAQ
  • Downloads
  • API
  • iPhone App
  • Email updates
© 2025 The Scripps Research Institute. All rights reserved. (ver 94eefe6 )
  • Terms of Use