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accession-icon E-MEXP-548
RNAi knock down of RNA binding IMP proteins in human epithelial (HeLa) cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

To identify factors and pathways regulated by IMP proteins and obtain leads to the mechanism behind the phenotypic changes, we compared the gene expression profiles of IMP siRNA treated cells with mock treated cells. Triplicate gene expression profiles were generated from both the IMP(1,3)A and IMP(1,3)B siRNA sets and were compared to the mock transfected cells. cRNA was hybridized to Affymetrix human U133A arrays.

Publication Title

RNA-binding IMPs promote cell adhesion and invadopodia formation.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP072494
Transcriptional changes induced by bevacizumab combination therapy in responding and non-responding recurrent glioblastoma patients
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: To identify transcriptional changes by RNA-seq in tumor samples, before bevacizumab combination treatment and after bevacizumab combination treatment in both responding and non-responding recurrent glioblastoma patients Overall design: Three comparison analyses were further performed: 1.) Paired analysis of pre- and post-treated samples from responding patients; 2.) Comparison of pre-treated samples of responders vs. non-responders; 3.) Paired analysis of pre- and post-treated samples from non-responding patients The sample ''characteristics: batch'' represents a combination of the RNA-extraction date and the library-preparation date for each sample.

Publication Title

Transcriptional changes induced by bevacizumab combination therapy in responding and non-responding recurrent glioblastoma patients.

Sample Metadata Fields

Sex, Disease, Disease stage, Subject, Time

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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)

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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.

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