refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing 3 of 3 results
Sort by

Filters

Technology

Platform

accession-icon GSE38332
Identification of Nrf2-regulated genes in A549 lung cancer cells by oligonucleotide microarray
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To elucidate the mechanisms by which Nrf2 regulates cell growth, we performed global gene expression profiling of A549 lung cancer cells with knockdown of Nrf2. Gene networks associated with carbohydrate metabolism and drug metabolism were significantly downregulated in Nrf2-depleted A549 cells. Gene Set Enrichment Analysis revealed significant enrichment of genes associated with carbohydrate catabolic processes, positive regulation of metabolic processes, PPP, and arachidonic acid metabolism. In summary, this analysis revealed that Nrf2 positively regulates transcription of genes that play key roles in central carbon metabolism.

Publication Title

Transcription factor NRF2 regulates miR-1 and miR-206 to drive tumorigenesis.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE53213
Expression data from glioma cells exposed to interferon (IFN)-beta
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Glioma cells are sensitized to the alkylator temozolomide after exposure to IFN-beta. In glioma-initiating cells (GIC), IFN-beta alone reduces clonogenicity. We investigated differentially expressed genes with or without IFN exposure in either longterm glioma cells or GIC.

Publication Title

Interferon-β induces loss of spherogenicity and overcomes therapy resistance of glioblastoma stem cells.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP064981
Gut Microbiota Orchestrates Energy Homeostasis during Cold [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Microbial functions in the host physiology are a result of co-evolution between microbial communities and their hosts. Here we show that cold exposure leads to marked shift of the microbiota composition, referred to as cold microbiota. Transplantation of the cold microbiota to germ-free mice is sufficient to increase the insulin sensitivity of the host, and enable complete tolerance to cold partly by promoting the white fat browning, leading to increased energy expenditure and fat loss. During prolonged cold however, the body weight loss is attenuated, caused by adaptive mechanisms maximising caloric uptake and increasing intestinal, villi and microvilli lengths. This increased absorptive surface is promoted by the cold microbiota - effect that can be diminished by co-transplanting the most downregulated bacterial strain from the Verrucomicrobia phylum, Akkermansia muciniphila, during the cold microbiota transfer. Our results demonstrate the microbiota as a key factor orchestrating the overall energy homeostasis during increased demand. Overall design: Mice were kept 30 days at room temperature or at 6C, 2 per cage, under SPF conditions, with or without administration of antibiotic coctail in drinking water (whole microbiota depletion). Fasted 5h before sacrifice. Segments of proximal jejunum were isoated, flushed gently with PBS and frozen. Each of 12 samples is a pool of two biological replicates (2 biological replicates of the same condition combined into one sample)

Publication Title

Gut Microbiota Orchestrates Energy Homeostasis during Cold.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
Didn't see a related experiment?

refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

BSD 3-Clause LicensePrivacyTerms of UseContact