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accession-icon GSE84788
Compared performance of Affymetrix HTA arrays and Illumina RNAseq for the analysis of tumours
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

RNA sequencing and transcriptome arrays analyses show opposing results for alternative splicing in patient derived samples.

Sample Metadata Fields

Specimen part

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accession-icon GSE84784
Compared performance of Affymetrix HTA arrays and Illumina RNAseq for the analysis of tumours [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Here we compared the performance of Affymetrix HTA 2.0 microarray and Illumina 2000 RNA-sequencing techniques on the clinical samples collected from patients with lung squamous cell carcinoma.

Publication Title

RNA sequencing and transcriptome arrays analyses show opposing results for alternative splicing in patient derived samples.

Sample Metadata Fields

Specimen part

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accession-icon GSE45423
Gene expression profile in the heart of wild type and Adenosine Receptor A2a over expressing mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Adenosine binds to 4 G protein-coupled receptors located on the cardiomyocyte (A1-R, A2a-R, A2b-R and A3-R) and modulates cardiac function during both ischemia and load-induced stress. While the role of adenosine receptor-subtypes has been well defined in the setting of ischemia-reperfusion, far less is known regarding their roles in protecting the heart during other forms of cardiac stress.

Publication Title

Identification of candidate long noncoding RNAs associated with left ventricular hypertrophy.

Sample Metadata Fields

Specimen part

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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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Developed by the Childhood Cancer Data Lab

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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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