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accession-icon GSE1159
Expression profiles of acute myeloid leukemia patient samples
  • organism-icon Homo sapiens
  • sample-icon 291 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Expression profiles of acute myeloid leukemia patient samples.

Publication Title

Identification of genes with abnormal expression changes in acute myeloid leukemia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9476
Abnormal Expression Changes in AML
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Acute myeloid leukemia (AML) is one of the most common and deadly forms of hematopoietic malignancies. We hypothesized that microarray studies could identify previously unrecognized expression changes that only occur only in AML blasts. We were particularly interested in those genes with increased expression in AML, believing that these genes may be potential therapeutic targets.

Publication Title

Identification of genes with abnormal expression changes in acute myeloid leukemia.

Sample Metadata Fields

Sex, Disease

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accession-icon SRP098606
Sin3a regulates epithelial progenitor cell fate during lung development
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Comparison of global transcription profiles in mouse E12.5 embryonic lung from Shh-Cre;Sin3a flox/+ control with Shh-Cre;Sin3a flox/flox revealed a large change genes due to loss of Sin3a in early lung development. Overall design: Examination of 2 different transcriptomes in 2 genotypes with three replicates.

Publication Title

Sin3a regulates epithelial progenitor cell fate during lung development.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE23445
Effect of JMJD2B depletion on the ER signaling pathway
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

JMJD2B is expressed in a high proportion of human breast tumors, and the expression levels significantly correlate with estrogen receptor (ER) positivity. To assess the effect of JMJD2B depletion on the ER signaling pathway, we performed genome-wide gene expression analysis using the Affymetrix Human Gene 1.0 ST array.

Publication Title

Histone demethylase JMJD2B functions as a co-factor of estrogen receptor in breast cancer proliferation and mammary gland development.

Sample Metadata Fields

Sex, Specimen part, Cell line, Treatment

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accession-icon SRP076235
RNA-Seq data for AKT, BAD, ERBB2, IGF1R, RAF1 and KRAS(G12V) overexpressed samples with twelve green fluorescent protein control samples using human mammary epithelial cells
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The goal was to capture the transcriptional activity due to over-expression of AKT, BAD, ERBB2, IGF1R, RAF1 and KRAS(G12V) genes .Overexpressions were validated using Western Blots. Illumina RNA-Seq technology was used to capture the downstream transcriptional activity. Reads were 101 base pairs long and single ended. An R open source package “Rsubread” was used to align and quantify the read using UCSC hg19 annotation. The integer-based gene counts were later normalized in TPM . Overall design: Profiles of gene expression, downstream of AKT, BAD, ERBB2, IGF1R, RAF1 and KRAS(G12V) over-expression, were generated in cells derived from breast and used to generate a gene-expression signatures.

Publication Title

Activity of distinct growth factor receptor network components in breast tumors uncovers two biologically relevant subtypes.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP064353
RNA-Seq data for AKT, BAD, ERBB2, IGF1R, RAF1 and ERK1 over-expressed samples with twelve green fluorescent protein control samples using human mammary epithelial cells
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The goal was to capture the transcriptional activity due to over-expression of AKT, BAD, ERBB2, IGF1R, RAF1 and ERK1 genes.Over-expressions were validated using Western Blots. Illumina RNA-Seq technology was used to capture the downstream transcriptional activity. Reads were 101 base pairs long and single ended. An R open source package “Rsubread” was used to align and quantify the read using UCSC hg19 annotation. The integer-based gene counts were later normalized in TPM . Overall design: Profiles of gene expression, downstream of AKT, BAD, ERBB2, IGF1R, RAF1 and ERK over-expression, were generated in cells derived from breast and used to generate a gene-expression signatures.

Publication Title

Combating subclonal evolution of resistant cancer phenotypes.

Sample Metadata Fields

No sample metadata fields

View Samples
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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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